From 785b39d6479c8e5a6bf73f218e030169bafc3096 Mon Sep 17 00:00:00 2001
From: Julian Sagebiel <julian.sagebiel@idiv.de>
Date: Fri, 3 Jan 2025 10:29:04 +0100
Subject: [PATCH] changed readme
---
README.Rmd | 23 +-
README.md | 92502 ++++++++++++++++++++++++++++-
man/figures/README-example-1.png | Bin 54628 -> 54674 bytes
man/figures/README-example-2.png | Bin 43248 -> 50947 bytes
man/figures/README-example-3.png | Bin 57414 -> 52908 bytes
tests/manual-tests/SE_Drive.R | 14 +-
6 files changed, 92004 insertions(+), 535 deletions(-)
diff --git a/README.Rmd b/README.Rmd
index ddecc87..aaa9712 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -19,7 +19,7 @@ knitr::opts_chunk$set(
<!-- badges: end -->
-The goal of simulateDCE is to make it easy to simulate choice experiment datasets using designs from NGENE or `spdesign`. You have to store the design file in a subfolder and need to specify certain parameters and the utility functions for the data generating process. The package is useful for:
+The goal of simulateDCE is to make it easy to simulate choice experiment datasets using designs from NGENE, `idefix` or `spdesign`. You have to store the design file(s) in a subfolder and need to specify certain parameters and the utility functions for the data generating process. The package is useful for:
1. Test different designs in terms of statistical power, efficiency and unbiasedness
@@ -33,14 +33,23 @@ The goal of simulateDCE is to make it easy to simulate choice experiment dataset
## Installation
-You can install the development version of simulateDCE from gitlab. You need to install the `remotes` package first. The current version is alpha and there is no version on cran:
+You can install simulateDCE from github. You need to install the `devtools` package first. The current version is alpha and there is no version on cran:
``` r
-install.packages("remotes")
-remotes::install_gitlab(repo = "dj44vuri/simulateDCE" , host = "https://git.idiv.de")
+install.packages("devtools")
+devtools::install_git('https://github.com/sagebiej/simulateDCE', ref = "main")
```
+For the latest development version use this:
+
+``` r
+
+install.packages("devtools")
+devtools::install_git('https://github.com/sagebiej/simulateDCE', ref = "devel")
+```
+
+
## Example
This is a basic example for a simulation:
@@ -54,12 +63,10 @@ library(rlang)
library(formula.tools)
-library(rlang)
-
designpath<- system.file("extdata","SE_DRIVE" ,package = "simulateDCE")
resps =120 # number of respondents
-nosim= 2 # number of simulations to run (about 500 is minimum)
+nosim= 400 # number of simulations to run (about 500 is minimum)
@@ -107,7 +114,7 @@ ul<-list( u1 =
destype="ngene"
sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
- designpath = designpath, u=ul, bcoeff = bcoeff)
+ designpath = designpath, u=ul, bcoeff = bcoeff, decisiongroups = decisiongroups)
```
diff --git a/README.md b/README.md
index cb74f73..0094139 100644
--- a/README.md
+++ b/README.md
@@ -7,10 +7,10 @@
<!-- badges: end -->
The goal of simulateDCE is to make it easy to simulate choice experiment
-datasets using designs from NGENE or `spdesign`. You have to store the
-design file in a subfolder and need to specify certain parameters and
-the utility functions for the data generating process. The package is
-useful for:
+datasets using designs from NGENE, `idefix` or `spdesign`. You have to
+store the design file(s) in a subfolder and need to specify certain
+parameters and the utility functions for the data generating process.
+The package is useful for:
1. Test different designs in terms of statistical power, efficiency and
unbiasedness
@@ -31,14 +31,22 @@ useful for:
## Installation
-You can install the development version of simulateDCE from gitlab. You
-need to install the `remotes` package first. The current version is
-alpha and there is no version on cran:
+You can install simulateDCE from github. You need to install the
+`devtools` package first. The current version is alpha and there is no
+version on cran:
``` r
-install.packages("remotes")
-remotes::install_gitlab(repo = "dj44vuri/simulateDCE" , host = "https://git.idiv.de")
+install.packages("devtools")
+devtools::install_git('https://github.com/sagebiej/simulateDCE', ref = "main")
+```
+
+For the latest development version use this:
+
+``` r
+
+install.packages("devtools")
+devtools::install_git('https://github.com/sagebiej/simulateDCE', ref = "devel")
```
## Example
@@ -52,14 +60,17 @@ rm(list=ls())
library(simulateDCE)
library(rlang)
library(formula.tools)
+#>
+#> Attaching package: 'formula.tools'
+#> The following object is masked from 'package:rlang':
+#>
+#> env
-library(rlang)
-
designpath<- system.file("extdata","SE_DRIVE" ,package = "simulateDCE")
resps =120 # number of respondents
-nosim= 2 # number of simulations to run (about 500 is minimum)
+nosim= 400 # number of simulations to run (about 500 is minimum)
@@ -107,28 +118,30 @@ ul<-list( u1 =
destype="ngene"
sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
- designpath = designpath, u=ul, bcoeff = bcoeff)
+ designpath = designpath, u=ul, bcoeff = bcoeff, decisiongroups = decisiongroups)
+#> 'simple' is deprecated and will be removed in the future. Use 'exact' instead.
+#> bcoeff_lookup already exists; skipping modification.
#> Utility function used in simulation, ie the true utility:
#>
#> $u1
#> $u1$v1
#> V.1 ~ bpreis * alt1.x1 + blade * alt1.x2 + bwarte * alt1.x3
+#> <environment: 0x5cc5fbecc2e0>
#>
#> $u1$v2
#> V.2 ~ bpreis * alt2.x1 + blade * alt2.x2 + bwarte * alt2.x3
+#> <environment: 0x5cc5fbf0ffd8>
#>
#>
#> $u2
#> $u2$v1
#> V.1 ~ bpreis * alt1.x1
+#> <environment: 0x5cc5fbf32890>
#>
#> $u2$v2
#> V.2 ~ bpreis * alt2.x1
-#>
-#>
-#> Utility function used for Logit estimation with mixl:
-#>
-#> [1] "U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;"
+#> <environment: 0x5cc5fbf54428>
+#> 'destype' is deprecated. Please use 'designtype' instead.
#> New names:
#> • `Choice situation` -> `Choice.situation`
#> • `` -> `...10`
@@ -141,26 +154,28 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block group V_1 V_2 e_1 e_2 U_1 U_2
-#> 1 1 7 80 2.5 10.0 60 20.0 10 1 1 -0.775 -1.800 -0.15343271 3.6612318 -0.9284327 1.8612318
-#> 2 1 19 20 2.5 5.0 60 2.5 0 1 1 -0.275 -0.775 0.47936686 -0.8086989 0.2043669 -1.5836989
-#> 3 1 30 20 10.0 5.0 80 5.0 10 1 1 -0.800 -0.950 0.12634298 1.2300690 -0.6736570 0.2800690
-#> 4 1 32 40 20.0 2.5 80 2.5 0 1 1 -1.750 -0.975 2.08710825 -0.1882935 0.3371082 -1.1632935
-#> 5 1 39 40 20.0 0.0 80 10.0 10 1 1 -1.800 -1.300 1.05540385 3.1339326 -0.7445961 1.8339326
-#> 6 1 48 60 5.0 2.5 20 5.0 10 1 1 -0.900 -0.350 0.07255885 -0.1156742 -0.8274412 -0.4656742
-#> CHOICE
-#> 1 2
-#> 2 1
-#> 3 2
-#> 4 1
-#> 5 2
-#> 6 2
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5346621 0.7318508 -1.0846621 -11.868149 1
+#> 2 1 -0.95 -2.35 0.5773936 -0.7811993 -0.3726064 -3.131199 1
+#> 3 1 -6.20 -2.30 1.3382771 0.1158697 -4.8617229 -2.184130 2
+#> 4 1 -13.90 -2.55 1.0026198 0.9662150 -12.8973802 -1.583785 2
+#> 5 1 -14.40 -5.80 0.4685361 -0.4860094 -13.9314639 -6.286009 2
+#> 6 1 -3.60 -1.70 2.5243715 0.6438044 -1.0756285 -1.056196 2
#>
#>
-#> This is Run number 1
+#> Transformed utility function (type: simple ):
+#> [1] "U_1 = @bpreis * $alt1_x1 + @blade * $alt1_x2 + @bwarte * $alt1_x3 ;U_2 = @bpreis * $alt2_x1 + @blade * $alt2_x2 + @bwarte * $alt2_x3 ;"
+#> This is Run number 1
#> does sou_gis exist: FALSE
#>
#> dataset final_set exists: FALSE
@@ -169,39 +184,42 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block group V_1 V_2 e_1 e_2 U_1 U_2
-#> 1 1 7 80 2.5 10.0 60 20.0 10 1 1 -0.775 -1.800 -1.2775839 1.5689946 -2.052584 -0.2310054
-#> 2 1 19 20 2.5 5.0 60 2.5 0 1 1 -0.275 -0.775 0.5934850 0.5453996 0.318485 -0.2296004
-#> 3 1 30 20 10.0 5.0 80 5.0 10 1 1 -0.800 -0.950 -0.5127855 1.7551185 -1.312785 0.8051185
-#> 4 1 32 40 20.0 2.5 80 2.5 0 1 1 -1.750 -0.975 3.4643234 1.3685812 1.714323 0.3935812
-#> 5 1 39 40 20.0 0.0 80 10.0 10 1 1 -1.800 -1.300 -0.5128262 0.3011019 -2.312826 -0.9988981
-#> 6 1 48 60 5.0 2.5 20 5.0 10 1 1 -0.900 -0.350 4.3343477 1.2265189 3.434348 0.8765189
-#> CHOICE
-#> 1 2
-#> 2 1
-#> 3 2
-#> 4 1
-#> 5 2
-#> 6 1
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.0480412 1.0658687 1.4980412 -11.5341313 1
+#> 2 1 -0.95 -2.35 1.6458423 3.0029775 0.6958423 0.6529775 1
+#> 3 1 -6.20 -2.30 0.8064037 1.7156233 -5.3935963 -0.5843767 2
+#> 4 1 -13.90 -2.55 -0.9656518 0.7281514 -14.8656518 -1.8218486 2
+#> 5 1 -14.40 -5.80 -0.8679570 3.8650136 -15.2679570 -1.9349864 2
+#> 6 1 -3.60 -1.70 0.7468481 1.9040151 -2.8531519 0.2040151 2
#>
#>
-#> This is the utility functions
-#> U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;Initial function value: -998.1319
+#> Initial function value: -998.1319
#> Initial gradient value:
-#> bpreis blade bwarte
-#> -1060.0 -812.5 520.0
+#> bpreis blade bwarte
+#> 6900 -38650 7050
#> initial value 998.131940
-#> iter 2 value 994.260781
-#> iter 3 value 974.092906
-#> iter 4 value 973.856287
-#> iter 5 value 970.270450
-#> iter 6 value 970.262794
-#> iter 6 value 970.262788
-#> iter 6 value 970.262788
-#> final value 970.262788
+#> iter 2 value 814.051264
+#> iter 3 value 803.513852
+#> iter 4 value 803.277976
+#> iter 5 value 766.362532
+#> iter 6 value 757.804164
+#> iter 7 value 756.391651
+#> iter 8 value 756.360304
+#> iter 9 value 756.360241
+#> iter 10 value 756.360224
+#> iter 10 value 756.360214
+#> iter 10 value 756.360206
+#> final value 756.360206
#> converged
#> This is Run number 2
#> does sou_gis exist: FALSE
@@ -212,80 +230,180 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block group V_1 V_2 e_1 e_2 U_1 U_2
-#> 1 1 7 80 2.5 10.0 60 20.0 10 1 1 -0.775 -1.800 0.34553136 -0.8375727 -0.4294686 -2.6375727
-#> 2 1 19 20 2.5 5.0 60 2.5 0 1 1 -0.275 -0.775 -1.32361481 0.3195766 -1.5986148 -0.4554234
-#> 3 1 30 20 10.0 5.0 80 5.0 10 1 1 -0.800 -0.950 0.08515524 -0.6090259 -0.7148448 -1.5590259
-#> 4 1 32 40 20.0 2.5 80 2.5 0 1 1 -1.750 -0.975 -0.18021132 2.3073397 -1.9302113 1.3323397
-#> 5 1 39 40 20.0 0.0 80 10.0 10 1 1 -1.800 -1.300 -0.55591900 3.4630292 -2.3559190 2.1630292
-#> 6 1 48 60 5.0 2.5 20 5.0 10 1 1 -0.900 -0.350 -0.29734711 3.0420404 -1.1973471 2.6920404
-#> CHOICE
-#> 1 1
-#> 2 2
-#> 3 1
-#> 4 2
-#> 5 2
-#> 6 2
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.95903510 1.7469021 -1.5090351 -10.8530979 1
+#> 2 1 -0.95 -2.35 0.48567293 1.3550837 -0.4643271 -0.9949163 1
+#> 3 1 -6.20 -2.30 -0.07062326 -0.3819651 -6.2706233 -2.6819651 2
+#> 4 1 -13.90 -2.55 -0.27359542 1.7458482 -14.1735954 -0.8041518 2
+#> 5 1 -14.40 -5.80 0.62747982 1.1230906 -13.7725202 -4.6769094 2
+#> 6 1 -3.60 -1.70 5.51924738 0.5975311 1.9192474 -1.1024689 1
#>
#>
-#> This is the utility functions
-#> U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;Initial function value: -998.1319
+#> Initial function value: -998.1319
#> Initial gradient value:
-#> bpreis blade bwarte
-#> 440.0 -1087.5 447.5
+#> bpreis blade bwarte
+#> 7320 -40200 5325
#> initial value 998.131940
-#> iter 2 value 995.094499
-#> iter 3 value 974.488144
-#> iter 4 value 974.227531
-#> iter 5 value 971.482008
-#> iter 6 value 971.477251
-#> iter 6 value 971.477249
-#> iter 6 value 971.477249
-#> final value 971.477249
+#> iter 2 value 798.413557
+#> iter 3 value 790.367792
+#> iter 4 value 788.829313
+#> iter 5 value 756.684783
+#> iter 6 value 747.942494
+#> iter 7 value 746.186623
+#> iter 8 value 746.134114
+#> iter 9 value 746.133922
+#> iter 10 value 746.133904
+#> iter 10 value 746.133904
+#> iter 10 value 746.133894
+#> final value 746.133894
#> converged
+#> This is Run number 3
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
#>
-#> ================ ==== === ===== ==== ===== ===== ===== ====
-#> \ vars n mean sd min max range se
-#> ================ ==== === ===== ==== ===== ===== ===== ====
-#> est_bpreis 1 2 -0.01 0.00 -0.01 0.00 0.00 0.00
-#> est_blade 2 2 -0.04 0.00 -0.04 -0.04 0.00 0.00
-#> est_bwarte 3 2 0.03 0.00 0.03 0.03 0.00 0.00
-#> rob_pval0_bpreis 4 2 0.01 0.01 0.00 0.02 0.02 0.01
-#> rob_pval0_blade 5 2 0.00 0.00 0.00 0.00 0.00 0.00
-#> rob_pval0_bwarte 6 2 0.01 0.00 0.01 0.01 0.00 0.00
-#> ================ ==== === ===== ==== ===== ===== ===== ====
+#> data has been created
#>
-#> TRUE
-#> 100
-#> Utility function used in simulation, ie the true utility:
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.3494364 -1.2638437 -0.8994364 -13.8638437 1
+#> 2 1 -0.95 -2.35 -1.0591545 -0.3654889 -2.0091545 -2.7154889 1
+#> 3 1 -6.20 -2.30 -0.6391097 -1.0715919 -6.8391097 -3.3715919 2
+#> 4 1 -13.90 -2.55 1.9630398 -0.7375982 -11.9369602 -3.2875982 2
+#> 5 1 -14.40 -5.80 -0.7461610 0.5740361 -15.1461610 -5.2259639 2
+#> 6 1 -3.60 -1.70 1.1724058 0.9519715 -2.4275942 -0.7480285 2
#>
-#> $u1
-#> $u1$v1
-#> V.1 ~ bpreis * alt1.x1 + blade * alt1.x2 + bwarte * alt1.x3
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -38275 7025
+#> initial value 998.131940
+#> iter 2 value 820.132002
+#> iter 3 value 808.671749
+#> iter 4 value 807.589000
+#> iter 5 value 769.808211
+#> iter 6 value 761.347358
+#> iter 7 value 759.964884
+#> iter 8 value 759.935731
+#> iter 9 value 759.935680
+#> iter 10 value 759.935667
+#> iter 10 value 759.935656
+#> iter 10 value 759.935656
+#> final value 759.935656
+#> converged
+#> This is Run number 4
+#> does sou_gis exist: FALSE
#>
-#> $u1$v2
-#> V.2 ~ bpreis * alt2.x1 + blade * alt2.x2 + bwarte * alt2.x3
+#> dataset final_set exists: FALSE
#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
#>
-#> $u2
-#> $u2$v1
-#> V.1 ~ bpreis * alt1.x1
+#> data has been created
#>
-#> $u2$v2
-#> V.2 ~ bpreis * alt2.x1
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.1651308 0.04473541 -0.38486924 -12.555265 1
+#> 2 1 -0.95 -2.35 1.0457067 -0.56572294 0.09570666 -2.915723 1
+#> 3 1 -6.20 -2.30 0.2653277 0.21907004 -5.93467227 -2.080930 2
+#> 4 1 -13.90 -2.55 -0.4685129 0.47136596 -14.36851288 -2.078634 2
+#> 5 1 -14.40 -5.80 1.5752600 2.73346135 -12.82473995 -3.066539 2
+#> 6 1 -3.60 -1.70 -0.3584104 0.55026311 -3.95841043 -1.149737 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -39625 8000
+#> initial value 998.131940
+#> iter 2 value 794.188083
+#> iter 3 value 778.031063
+#> iter 4 value 777.087469
+#> iter 5 value 743.540679
+#> iter 6 value 734.976004
+#> iter 7 value 733.845920
+#> iter 8 value 733.827251
+#> iter 9 value 733.827233
+#> iter 9 value 733.827230
+#> iter 9 value 733.827220
+#> final value 733.827220
+#> converged
+#> This is Run number 5
+#> does sou_gis exist: FALSE
#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
#>
-#> Utility function used for Logit estimation with mixl:
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5668505 1.9385048 -1.116850 -10.6614952 1
+#> 2 1 -0.95 -2.35 -1.0846610 0.5273078 -2.034661 -1.8226922 2
+#> 3 1 -6.20 -2.30 -1.1667192 -0.3741714 -7.366719 -2.6741714 2
+#> 4 1 -13.90 -2.55 -0.1146248 1.0349357 -14.014625 -1.5150643 2
+#> 5 1 -14.40 -5.80 -0.4668516 2.2256308 -14.866852 -3.5743692 2
+#> 6 1 -3.60 -1.70 0.2743071 2.4364835 -3.325693 0.7364835 2
#>
-#> [1] "U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;"
-#> New names:
-#> • `Choice situation` -> `Choice.situation`
-#> • `` -> `...10`
#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -36600 5775
+#> initial value 998.131940
+#> iter 2 value 849.190980
+#> iter 3 value 842.712950
+#> iter 4 value 841.936546
+#> iter 5 value 799.442275
+#> iter 6 value 791.541423
+#> iter 7 value 789.904678
+#> iter 8 value 789.870085
+#> iter 9 value 789.869999
+#> iter 9 value 789.869999
+#> iter 9 value 789.869999
+#> final value 789.869999
+#> converged
+#> This is Run number 6
#> does sou_gis exist: FALSE
#>
#> dataset final_set exists: FALSE
@@ -294,26 +412,43 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block group V_1 V_2 e_1 e_2 U_1 U_2
-#> 1 1 12 60 2.5 0.0 20 20.0 10 1 1 -0.775 -1.400 0.63130736 -1.4347994 -0.1436926 -2.8347994
-#> 2 1 16 20 10.0 5.0 40 5.0 0 1 1 -0.800 -0.750 5.09739937 0.4118885 4.2973994 -0.3381115
-#> 3 1 17 20 20.0 0.0 80 10.0 10 1 1 -1.600 -1.300 0.22397799 0.4666321 -1.3760220 -0.8333679
-#> 4 1 25 60 5.0 10.0 20 20.0 5 1 1 -0.750 -1.500 -0.05146482 2.2007592 -0.8014648 0.7007592
-#> 5 1 29 20 5.0 10.0 80 5.0 0 1 1 -0.350 -1.150 1.57620781 4.9154679 1.2262078 3.7654679
-#> 6 1 32 40 10.0 2.5 80 2.5 5 1 1 -1.050 -0.875 -0.47930823 0.7058788 -1.5293082 -0.1691212
-#> CHOICE
-#> 1 1
-#> 2 1
-#> 3 2
-#> 4 2
-#> 5 2
-#> 6 2
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.1867229 -1.3282405 -0.3632771 -13.92824045 1
+#> 2 1 -0.95 -2.35 -0.7120267 0.4058905 -1.6620267 -1.94410949 1
+#> 3 1 -6.20 -2.30 0.9499792 1.3408087 -5.2500208 -0.95919130 2
+#> 4 1 -13.90 -2.55 -0.6068414 -0.2863894 -14.5068414 -2.83638939 2
+#> 5 1 -14.40 -5.80 0.2791787 0.1775473 -14.1208213 -5.62245268 2
+#> 6 1 -3.60 -1.70 -0.4503255 1.6392219 -4.0503255 -0.06077805 2
#>
#>
-#> This is Run number 1
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -40050 6300
+#> initial value 998.131940
+#> iter 2 value 797.254783
+#> iter 3 value 784.067854
+#> iter 4 value 781.033483
+#> iter 5 value 748.988742
+#> iter 6 value 740.229226
+#> iter 7 value 738.865229
+#> iter 8 value 738.831723
+#> iter 9 value 738.831657
+#> iter 9 value 738.831649
+#> iter 9 value 738.831643
+#> final value 738.831643
+#> converged
+#> This is Run number 7
#> does sou_gis exist: FALSE
#>
#> dataset final_set exists: FALSE
@@ -322,42 +457,43 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block group V_1 V_2 e_1 e_2 U_1 U_2
-#> 1 1 12 60 2.5 0.0 20 20.0 10 1 1 -0.775 -1.400 0.3494617 0.1551114 -0.42553827 -1.24488857
-#> 2 1 16 20 10.0 5.0 40 5.0 0 1 1 -0.800 -0.750 1.5845207 0.5556039 0.78452066 -0.19439613
-#> 3 1 17 20 20.0 0.0 80 10.0 10 1 1 -1.600 -1.300 4.1993459 -0.1612424 2.59934589 -1.46124241
-#> 4 1 25 60 5.0 10.0 20 20.0 5 1 1 -0.750 -1.500 0.6527215 1.3949219 -0.09727852 -0.10507806
-#> 5 1 29 20 5.0 10.0 80 5.0 0 1 1 -0.350 -1.150 2.6927356 -1.3232777 2.34273564 -2.47327770
-#> 6 1 32 40 10.0 2.5 80 2.5 5 1 1 -1.050 -0.875 0.3758168 0.8556930 -0.67418318 -0.01930696
-#> CHOICE
-#> 1 1
-#> 2 1
-#> 3 1
-#> 4 1
-#> 5 1
-#> 6 2
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.21350661 -0.0899883 -0.3364934 -12.689988 1
+#> 2 1 -0.95 -2.35 2.12381588 -0.2254029 1.1738159 -2.575403 1
+#> 3 1 -6.20 -2.30 4.10025765 0.4750744 -2.0997424 -1.824926 2
+#> 4 1 -13.90 -2.55 -0.41310328 -0.6352374 -14.3131033 -3.185237 2
+#> 5 1 -14.40 -5.80 0.05799517 -1.3854798 -14.3420048 -7.185480 2
+#> 6 1 -3.60 -1.70 2.15245815 0.5629682 -1.4475418 -1.137032 2
#>
#>
-#> This is the utility functions
-#> U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;Initial function value: -998.1319
+#> Initial function value: -998.1319
#> Initial gradient value:
-#> bpreis blade bwarte
-#> -2340.0 -857.5 510.0
+#> bpreis blade bwarte
+#> 5760 -37400 6900
#> initial value 998.131940
-#> iter 2 value 989.566757
-#> iter 3 value 968.906950
-#> iter 4 value 968.775516
-#> iter 5 value 959.377427
-#> iter 6 value 959.364632
-#> iter 7 value 959.364588
-#> iter 7 value 959.364588
-#> iter 7 value 959.364588
-#> final value 959.364588
+#> iter 2 value 833.324198
+#> iter 3 value 821.238217
+#> iter 4 value 819.048965
+#> iter 5 value 779.096282
+#> iter 6 value 770.853182
+#> iter 7 value 769.477617
+#> iter 8 value 769.450544
+#> iter 9 value 769.450502
+#> iter 9 value 769.450491
+#> iter 9 value 769.450486
+#> final value 769.450486
#> converged
-#> This is Run number 2
+#> This is Run number 8
#> does sou_gis exist: FALSE
#>
#> dataset final_set exists: FALSE
@@ -366,81 +502,182 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block group V_1 V_2 e_1 e_2 U_1
-#> 1 1 12 60 2.5 0.0 20 20.0 10 1 1 -0.775 -1.400 -0.5067469 -4.908678e-05 -1.2817469
-#> 2 1 16 20 10.0 5.0 40 5.0 0 1 1 -0.800 -0.750 2.1209149 5.835693e-01 1.3209149
-#> 3 1 17 20 20.0 0.0 80 10.0 10 1 1 -1.600 -1.300 -0.3310010 7.106139e-01 -1.9310010
-#> 4 1 25 60 5.0 10.0 20 20.0 5 1 1 -0.750 -1.500 1.0469501 3.053872e-01 0.2969501
-#> 5 1 29 20 5.0 10.0 80 5.0 0 1 1 -0.350 -1.150 1.2182730 -6.215119e-01 0.8682730
-#> 6 1 32 40 10.0 2.5 80 2.5 5 1 1 -1.050 -0.875 -0.3318808 5.251218e+00 -1.3818808
-#> U_2 CHOICE
-#> 1 -1.4000491 1
-#> 2 -0.1664307 1
-#> 3 -0.5893861 2
-#> 4 -1.1946128 1
-#> 5 -1.7715119 1
-#> 6 4.3762180 2
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.5798834 -0.3211425 0.02988338 -12.9211425 1
+#> 2 1 -0.95 -2.35 -0.6568726 2.9615102 -1.60687260 0.6115102 2
+#> 3 1 -6.20 -2.30 1.0462290 -0.8025417 -5.15377097 -3.1025417 2
+#> 4 1 -13.90 -2.55 1.9432565 -0.5925105 -11.95674349 -3.1425105 2
+#> 5 1 -14.40 -5.80 -0.2125311 -0.5395650 -14.61253107 -6.3395650 2
+#> 6 1 -3.60 -1.70 0.5850380 0.8600823 -3.01496199 -0.8399177 2
#>
#>
-#> This is the utility functions
-#> U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;Initial function value: -998.1319
+#> Initial function value: -998.1319
#> Initial gradient value:
-#> bpreis blade bwarte
-#> -2120.0 -842.5 582.5
+#> bpreis blade bwarte
+#> 6760 -39500 7725
#> initial value 998.131940
-#> iter 2 value 990.498814
-#> iter 3 value 970.036278
-#> iter 4 value 970.031934
-#> iter 5 value 961.943463
-#> iter 6 value 961.698866
-#> iter 7 value 961.698562
-#> iter 7 value 961.698561
-#> iter 7 value 961.698561
-#> final value 961.698561
+#> iter 2 value 797.555745
+#> iter 3 value 783.435479
+#> iter 4 value 783.002682
+#> iter 5 value 748.858861
+#> iter 6 value 740.221327
+#> iter 7 value 739.023456
+#> iter 8 value 739.001304
+#> iter 9 value 739.001293
+#> iter 9 value 739.001288
+#> iter 10 value 739.001265
+#> iter 11 value 739.001253
+#> iter 11 value 739.001253
+#> iter 11 value 739.001250
+#> final value 739.001250
#> converged
+#> This is Run number 9
+#> does sou_gis exist: FALSE
#>
+#> dataset final_set exists: FALSE
#>
-#> ================ ==== === ===== ==== ===== ===== ===== ====
-#> \ vars n mean sd min max range se
-#> ================ ==== === ===== ==== ===== ===== ===== ====
-#> est_bpreis 1 2 -0.01 0.00 -0.01 -0.01 0.00 0.00
-#> est_blade 2 2 -0.05 0.00 -0.05 -0.05 0.00 0.00
-#> est_bwarte 3 2 0.02 0.01 0.01 0.02 0.01 0.00
-#> rob_pval0_bpreis 4 2 0.00 0.00 0.00 0.00 0.00 0.00
-#> rob_pval0_blade 5 2 0.00 0.00 0.00 0.00 0.00 0.00
-#> rob_pval0_bwarte 6 2 0.16 0.19 0.03 0.30 0.27 0.13
-#> ================ ==== === ===== ==== ===== ===== ===== ====
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
#>
-#> FALSE TRUE
-#> 50 50
-#> Utility function used in simulation, ie the true utility:
+#> data has been created
#>
-#> $u1
-#> $u1$v1
-#> V.1 ~ bpreis * alt1.x1 + blade * alt1.x2 + bwarte * alt1.x3
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.69241378 -0.027102867 -1.242414 -12.6271029 1
+#> 2 1 -0.95 -2.35 -0.33240342 0.957319274 -1.282403 -1.3926807 1
+#> 3 1 -6.20 -2.30 -0.02159452 0.523861864 -6.221595 -1.7761381 2
+#> 4 1 -13.90 -2.55 -0.43976792 2.255627590 -14.339768 -0.2943724 2
+#> 5 1 -14.40 -5.80 1.59548064 0.005022084 -12.804519 -5.7949779 2
+#> 6 1 -3.60 -1.70 0.36964385 -0.070284512 -3.230356 -1.7702845 2
#>
-#> $u1$v2
-#> V.2 ~ bpreis * alt2.x1 + blade * alt2.x2 + bwarte * alt2.x3
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6140 -38925 7375
+#> initial value 998.131940
+#> iter 2 value 808.805881
+#> iter 3 value 794.383536
+#> iter 4 value 792.492764
+#> iter 5 value 756.940395
+#> iter 6 value 748.397803
+#> iter 7 value 747.136101
+#> iter 8 value 747.111451
+#> iter 9 value 747.111422
+#> iter 9 value 747.111412
+#> iter 9 value 747.111406
+#> final value 747.111406
+#> converged
+#> This is Run number 10
+#> does sou_gis exist: FALSE
#>
+#> dataset final_set exists: FALSE
#>
-#> $u2
-#> $u2$v1
-#> V.1 ~ bpreis * alt1.x1
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
#>
-#> $u2$v2
-#> V.2 ~ bpreis * alt2.x1
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.55377101 -0.06400035 -1.1037710 -12.664000 1
+#> 2 1 -0.95 -2.35 0.65046709 1.31960333 -0.2995329 -1.030397 1
+#> 3 1 -6.20 -2.30 -0.08514854 -0.35122632 -6.2851485 -2.651226 2
+#> 4 1 -13.90 -2.55 -0.24910236 0.41807233 -14.1491024 -2.131928 2
+#> 5 1 -14.40 -5.80 1.44398692 0.61195541 -12.9560131 -5.188045 2
+#> 6 1 -3.60 -1.70 1.29566396 0.41997169 -2.3043360 -1.280028 2
#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7240 -39850 6400
+#> initial value 998.131940
+#> iter 2 value 799.047238
+#> iter 3 value 789.288368
+#> iter 4 value 788.745320
+#> iter 5 value 755.304582
+#> iter 6 value 746.556906
+#> iter 7 value 745.070645
+#> iter 8 value 745.032618
+#> iter 9 value 745.032529
+#> iter 10 value 745.032514
+#> iter 10 value 745.032507
+#> iter 10 value 745.032499
+#> final value 745.032499
+#> converged
+#> This is Run number 11
+#> does sou_gis exist: FALSE
#>
-#> Utility function used for Logit estimation with mixl:
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.8302687 0.6367215 0.2802687 -11.963278 1
+#> 2 1 -0.95 -2.35 0.1713546 -0.6215377 -0.7786454 -2.971538 1
+#> 3 1 -6.20 -2.30 0.2922556 0.0418291 -5.9077444 -2.258171 2
+#> 4 1 -13.90 -2.55 1.1815540 0.6897143 -12.7184460 -1.860286 2
+#> 5 1 -14.40 -5.80 -0.2580984 1.6449478 -14.6580984 -4.155052 2
+#> 6 1 -3.60 -1.70 2.0032401 0.0826559 -1.5967599 -1.617344 1
#>
-#> [1] "U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;"
-#> New names:
-#> • `Choice situation` -> `Choice.situation`
-#> • `` -> `...10`
#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5560 -39250 7150
+#> initial value 998.131940
+#> iter 2 value 805.365550
+#> iter 3 value 787.032465
+#> iter 4 value 782.361624
+#> iter 5 value 748.443105
+#> iter 6 value 739.857615
+#> iter 7 value 738.659548
+#> iter 8 value 738.636756
+#> iter 9 value 738.636736
+#> iter 9 value 738.636731
+#> iter 9 value 738.636727
+#> final value 738.636727
+#> converged
+#> This is Run number 12
#> does sou_gis exist: FALSE
#>
#> dataset final_set exists: FALSE
@@ -449,26 +686,44 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block group V_1 V_2 e_1 e_2 U_1
-#> 1 1 3 80 5.0 0.0 20 5.0 10.0 1 1 -1.150 -0.350 1.88045081 0.33059180 0.7304508
-#> 2 1 5 60 2.5 5.0 20 20.0 5.0 1 1 -0.675 -1.500 -0.08733163 -0.07195918 -0.7623316
-#> 3 1 10 80 2.5 2.5 20 20.0 0.0 1 1 -0.925 -1.600 -0.31269859 3.95512677 -1.2376986
-#> 4 1 34 80 2.5 5.0 60 5.0 5.0 1 1 -0.875 -0.850 0.20206751 -0.87018279 -0.6729325
-#> 5 1 37 40 5.0 10.0 60 5.0 2.5 1 1 -0.550 -0.900 -0.25607132 -1.21928402 -0.8060713
-#> 6 1 39 20 20.0 2.5 60 2.5 2.5 1 1 -1.550 -0.725 1.39833272 -0.08165078 -0.1516673
-#> U_2 CHOICE
-#> 1 -0.0194082 1
-#> 2 -1.5719592 1
-#> 3 2.3551268 2
-#> 4 -1.7201828 1
-#> 5 -2.1192840 1
-#> 6 -0.8066508 1
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.9803801 -0.26153559 -1.5303801 -12.8615356 1
+#> 2 1 -0.95 -2.35 1.7419333 0.07796661 0.7919333 -2.2720334 1
+#> 3 1 -6.20 -2.30 1.4003382 -0.88584325 -4.7996618 -3.1858432 2
+#> 4 1 -13.90 -2.55 -1.4346036 -0.76433179 -15.3346036 -3.3143318 2
+#> 5 1 -14.40 -5.80 -0.6871762 -1.84393126 -15.0871762 -7.6439313 2
+#> 6 1 -3.60 -1.70 3.1893690 1.48324819 -0.4106310 -0.2167518 2
#>
#>
-#> This is Run number 1
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6700 -38575 6775
+#> initial value 998.131940
+#> iter 2 value 816.882836
+#> iter 3 value 806.574919
+#> iter 4 value 805.890778
+#> iter 5 value 768.813677
+#> iter 6 value 760.282612
+#> iter 7 value 758.832693
+#> iter 8 value 758.799819
+#> iter 9 value 758.799752
+#> iter 10 value 758.799736
+#> iter 10 value 758.799726
+#> iter 10 value 758.799725
+#> final value 758.799725
+#> converged
+#> This is Run number 13
#> does sou_gis exist: FALSE
#>
#> dataset final_set exists: FALSE
@@ -477,42 +732,89 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block group V_1 V_2 e_1 e_2 U_1
-#> 1 1 3 80 5.0 0.0 20 5.0 10.0 1 1 -1.150 -0.350 -0.0940785 -0.8728874 -1.24407850
-#> 2 1 5 60 2.5 5.0 20 20.0 5.0 1 1 -0.675 -1.500 -0.6796651 -1.1297414 -1.35466507
-#> 3 1 10 80 2.5 2.5 20 20.0 0.0 1 1 -0.925 -1.600 1.7899847 0.6372528 0.86498471
-#> 4 1 34 80 2.5 5.0 60 5.0 5.0 1 1 -0.875 -0.850 0.9429192 0.7744473 0.06791921
-#> 5 1 37 40 5.0 10.0 60 5.0 2.5 1 1 -0.550 -0.900 0.1003092 2.5583115 -0.44969083
-#> 6 1 39 20 20.0 2.5 60 2.5 2.5 1 1 -1.550 -0.725 -0.3851894 0.9776369 -1.93518939
-#> U_2 CHOICE
-#> 1 -1.22288745 2
-#> 2 -2.62974141 1
-#> 3 -0.96274717 1
-#> 4 -0.07555271 1
-#> 5 1.65831145 2
-#> 6 0.25263691 2
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.1991772 1.1511615 -0.74917718 -11.448838 1
+#> 2 1 -0.95 -2.35 0.9329473 0.3775952 -0.01705267 -1.972405 1
+#> 3 1 -6.20 -2.30 1.8494722 -0.5189996 -4.35052776 -2.819000 2
+#> 4 1 -13.90 -2.55 0.1553253 0.6869012 -13.74467470 -1.863099 2
+#> 5 1 -14.40 -5.80 2.9140428 2.1088163 -11.48595724 -3.691184 2
+#> 6 1 -3.60 -1.70 0.9493834 -0.4533498 -2.65061659 -2.153350 2
#>
#>
-#> This is the utility functions
-#> U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;Initial function value: -998.1319
+#> Initial function value: -998.1319
#> Initial gradient value:
-#> bpreis blade bwarte
-#> -2300.0 -967.5 417.5
+#> bpreis blade bwarte
+#> 5720 -38225 7225
#> initial value 998.131940
-#> iter 2 value 989.783897
-#> iter 3 value 967.441065
-#> iter 4 value 966.807343
-#> iter 5 value 957.535574
-#> iter 6 value 957.518843
-#> iter 7 value 957.518805
-#> iter 7 value 957.518805
-#> iter 7 value 957.518805
-#> final value 957.518805
+#> iter 2 value 819.997689
+#> iter 3 value 805.307244
+#> iter 4 value 802.513743
+#> iter 5 value 765.124055
+#> iter 6 value 756.700421
+#> iter 7 value 755.405431
+#> iter 8 value 755.380579
+#> iter 9 value 755.380550
+#> iter 9 value 755.380540
+#> iter 9 value 755.380535
+#> final value 755.380535
#> converged
-#> This is Run number 2
+#> This is Run number 14
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.0226271 1.8022229 -1.5726271 -10.7977771 1
+#> 2 1 -0.95 -2.35 0.2449677 -0.7119570 -0.7050323 -3.0619570 1
+#> 3 1 -6.20 -2.30 -0.3483096 -0.8870686 -6.5483096 -3.1870686 2
+#> 4 1 -13.90 -2.55 -0.3558228 1.8516659 -14.2558228 -0.6983341 2
+#> 5 1 -14.40 -5.80 1.9414634 3.9030741 -12.4585366 -1.8969259 2
+#> 6 1 -3.60 -1.70 0.8671413 2.5681117 -2.7328587 0.8681117 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6060 -38125 7250
+#> initial value 998.131940
+#> iter 2 value 821.172714
+#> iter 3 value 808.367696
+#> iter 4 value 806.782637
+#> iter 5 value 768.753533
+#> iter 6 value 760.339769
+#> iter 7 value 759.013804
+#> iter 8 value 758.987644
+#> iter 9 value 758.987607
+#> iter 10 value 758.987595
+#> iter 10 value 758.987585
+#> iter 10 value 758.987580
+#> final value 758.987580
+#> converged
+#> This is Run number 15
#> does sou_gis exist: FALSE
#>
#> dataset final_set exists: FALSE
@@ -521,80 +823,179 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block group V_1 V_2 e_1 e_2 U_1
-#> 1 1 3 80 5.0 0.0 20 5.0 10.0 1 1 -1.150 -0.350 0.39615659 0.74248610 -0.7538434
-#> 2 1 5 60 2.5 5.0 20 20.0 5.0 1 1 -0.675 -1.500 -0.17578286 0.04260786 -0.8507829
-#> 3 1 10 80 2.5 2.5 20 20.0 0.0 1 1 -0.925 -1.600 0.44905385 0.79514566 -0.4759461
-#> 4 1 34 80 2.5 5.0 60 5.0 5.0 1 1 -0.875 -0.850 0.27140789 4.63953174 -0.6035921
-#> 5 1 37 40 5.0 10.0 60 5.0 2.5 1 1 -0.550 -0.900 -0.03370054 0.84622952 -0.5837005
-#> 6 1 39 20 20.0 2.5 60 2.5 2.5 1 1 -1.550 -0.725 -0.47233862 1.05805421 -2.0223386
-#> U_2 CHOICE
-#> 1 0.39248610 2
-#> 2 -1.45739214 1
-#> 3 -0.80485434 1
-#> 4 3.78953174 2
-#> 5 -0.05377048 2
-#> 6 0.33305421 2
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.6697426 -0.2212345 -1.2197426 -12.821234 1
+#> 2 1 -0.95 -2.35 0.1329135 -0.1484477 -0.8170865 -2.498448 1
+#> 3 1 -6.20 -2.30 1.8040782 -1.1926918 -4.3959218 -3.492692 2
+#> 4 1 -13.90 -2.55 -0.2969303 0.4498545 -14.1969303 -2.100146 2
+#> 5 1 -14.40 -5.80 -0.8939682 0.1640928 -15.2939682 -5.635907 2
+#> 6 1 -3.60 -1.70 -0.9939891 0.3689768 -4.5939891 -1.331023 2
#>
#>
-#> This is the utility functions
-#> U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;Initial function value: -998.1319
+#> Initial function value: -998.1319
#> Initial gradient value:
-#> bpreis blade bwarte
-#> -1600.0 -857.5 402.5
+#> bpreis blade bwarte
+#> 6240 -37875 6650
#> initial value 998.131940
-#> iter 2 value 993.094191
-#> iter 3 value 975.977284
-#> iter 4 value 975.860148
-#> iter 5 value 971.032264
-#> iter 6 value 971.027871
-#> iter 6 value 971.027867
-#> iter 6 value 971.027867
-#> final value 971.027867
+#> iter 2 value 827.899993
+#> iter 3 value 817.382899
+#> iter 4 value 815.958442
+#> iter 5 value 777.095544
+#> iter 6 value 768.734927
+#> iter 7 value 767.282448
+#> iter 8 value 767.251137
+#> iter 9 value 767.251077
+#> iter 9 value 767.251076
+#> iter 9 value 767.251076
+#> final value 767.251076
#> converged
+#> This is Run number 16
+#> does sou_gis exist: FALSE
#>
+#> dataset final_set exists: FALSE
#>
-#> ================ ==== === ===== ==== ===== ===== ===== ====
-#> \ vars n mean sd min max range se
-#> ================ ==== === ===== ==== ===== ===== ===== ====
-#> est_bpreis 1 2 -0.01 0.00 -0.01 -0.01 0.00 0.00
-#> est_blade 2 2 -0.05 0.01 -0.05 -0.04 0.01 0.01
-#> est_bwarte 3 2 0.00 0.01 0.00 0.01 0.01 0.00
-#> rob_pval0_bpreis 4 2 0.00 0.00 0.00 0.00 0.00 0.00
-#> rob_pval0_blade 5 2 0.00 0.00 0.00 0.00 0.00 0.00
-#> rob_pval0_bwarte 6 2 0.68 0.20 0.54 0.82 0.28 0.14
-#> ================ ==== === ===== ==== ===== ===== ===== ====
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
#>
-#> FALSE
-#> 100
-#> Utility function used in simulation, ie the true utility:
+#> data has been created
#>
-#> $u1
-#> $u1$v1
-#> V.1 ~ bpreis * alt1.x1 + blade * alt1.x2 + bwarte * alt1.x3
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.4430095 -0.5300688 -0.9930095 -13.1300688 1
+#> 2 1 -0.95 -2.35 3.5029252 -1.1477896 2.5529252 -3.4977896 1
+#> 3 1 -6.20 -2.30 1.2878364 1.4547887 -4.9121636 -0.8452113 2
+#> 4 1 -13.90 -2.55 2.0919139 -1.2793114 -11.8080861 -3.8293114 2
+#> 5 1 -14.40 -5.80 -0.3452620 -0.5455779 -14.7452620 -6.3455779 2
+#> 6 1 -3.60 -1.70 -1.0382948 -0.3328220 -4.6382948 -2.0328220 2
#>
-#> $u1$v2
-#> V.2 ~ bpreis * alt2.x1 + blade * alt2.x2 + bwarte * alt2.x3
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5680 -38700 8425
+#> initial value 998.131940
+#> iter 2 value 805.632321
+#> iter 3 value 787.126143
+#> iter 4 value 784.943829
+#> iter 5 value 749.005847
+#> iter 6 value 740.652192
+#> iter 7 value 739.522359
+#> iter 8 value 739.506073
+#> iter 9 value 739.506060
+#> iter 9 value 739.506055
+#> iter 9 value 739.506052
+#> final value 739.506052
+#> converged
+#> This is Run number 17
+#> does sou_gis exist: FALSE
#>
+#> dataset final_set exists: FALSE
#>
-#> $u2
-#> $u2$v1
-#> V.1 ~ bpreis * alt1.x1
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
#>
-#> $u2$v2
-#> V.2 ~ bpreis * alt2.x1
+#> data has been created
#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.10726253 0.1562533 0.5572625 -12.4437467 1
+#> 2 1 -0.95 -2.35 -1.03723690 2.4601367 -1.9872369 0.1101367 2
+#> 3 1 -6.20 -2.30 0.33340273 0.2966318 -5.8665973 -2.0033682 2
+#> 4 1 -13.90 -2.55 0.47342490 1.1619897 -13.4265751 -1.3880103 2
+#> 5 1 -14.40 -5.80 -0.04790816 -0.9262372 -14.4479082 -6.7262372 2
+#> 6 1 -3.60 -1.70 -0.25237807 0.6792071 -3.8523781 -1.0207929 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6060 -39525 8600
+#> initial value 998.131940
+#> iter 2 value 791.960827
+#> iter 3 value 772.617019
+#> iter 4 value 771.139777
+#> iter 5 value 737.594100
+#> iter 6 value 729.207147
+#> iter 7 value 728.147911
+#> iter 8 value 728.133621
+#> iter 9 value 728.133602
+#> iter 9 value 728.133596
+#> iter 9 value 728.133596
+#> final value 728.133596
+#> converged
+#> This is Run number 18
+#> does sou_gis exist: FALSE
#>
-#> Utility function used for Logit estimation with mixl:
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.7412233 0.62578691 0.1912233 -11.974213 1
+#> 2 1 -0.95 -2.35 0.3224486 0.83719236 -0.6275514 -1.512808 1
+#> 3 1 -6.20 -2.30 -1.0891595 -0.07786002 -7.2891595 -2.377860 2
+#> 4 1 -13.90 -2.55 -0.6999784 0.43833581 -14.5999784 -2.111664 2
+#> 5 1 -14.40 -5.80 -0.9937733 0.84542868 -15.3937733 -4.954571 2
+#> 6 1 -3.60 -1.70 0.4503231 -0.52201593 -3.1496769 -2.222016 2
#>
-#> [1] "U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;"
-#> New names:
-#> • `Choice situation` -> `Choice.situation`
-#> • `` -> `...10`
#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7360 -40025 5825
+#> initial value 998.131940
+#> iter 2 value 798.921328
+#> iter 3 value 790.485091
+#> iter 4 value 789.657678
+#> iter 5 value 756.737560
+#> iter 6 value 747.986793
+#> iter 7 value 746.352573
+#> iter 8 value 746.307171
+#> iter 9 value 746.307041
+#> iter 10 value 746.307026
+#> iter 10 value 746.307026
+#> iter 10 value 746.307019
+#> final value 746.307019
+#> converged
+#> This is Run number 19
#> does sou_gis exist: FALSE
#>
#> dataset final_set exists: FALSE
@@ -603,26 +1004,41 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block group V_1 V_2 e_1 e_2 U_1 U_2
-#> 1 1 9 80 5.0 0 60 20.0 10.0 1 1 -1.150 -1.800 0.8053210 -0.7760447 -0.34467900 -2.5760447
-#> 2 1 12 60 2.5 10 40 20.0 0.0 1 1 -0.575 -1.800 2.4581484 -0.5422855 1.88314842 -2.3422855
-#> 3 1 13 20 20.0 10 80 2.5 0.0 1 1 -1.400 -0.975 0.4806134 -1.7030310 -0.91938664 -2.6780310
-#> 4 1 70 80 5.0 10 20 20.0 2.5 1 1 -0.950 -1.550 -0.8558539 1.9784273 -1.80585392 0.4284273
-#> 5 1 71 60 20.0 10 80 10.0 0.0 1 1 -1.800 -1.500 1.4200481 0.8856199 -0.37995187 -0.6143801
-#> 6 1 73 60 10.0 0 40 20.0 10.0 1 1 -1.300 -1.600 1.3592506 -0.1823192 0.05925063 -1.7823192
-#> CHOICE
-#> 1 1
-#> 2 1
-#> 3 1
-#> 4 2
-#> 5 1
-#> 6 1
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5742353 0.2599047 -1.12423532 -12.340095 1
+#> 2 1 -0.95 -2.35 0.8716942 1.0253969 -0.07830585 -1.324603 1
+#> 3 1 -6.20 -2.30 0.4024112 -0.1901571 -5.79758884 -2.490157 2
+#> 4 1 -13.90 -2.55 1.1478203 -0.7324204 -12.75217966 -3.282420 2
+#> 5 1 -14.40 -5.80 0.5179299 1.2628388 -13.88207015 -4.537161 2
+#> 6 1 -3.60 -1.70 0.2990833 -0.4118175 -3.30091671 -2.111818 2
#>
#>
-#> This is Run number 1
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5800 -40250 8050
+#> initial value 998.131940
+#> iter 2 value 784.410953
+#> iter 3 value 763.207399
+#> iter 4 value 759.363723
+#> iter 5 value 728.629462
+#> iter 6 value 720.229731
+#> iter 7 value 719.188904
+#> iter 8 value 719.172593
+#> iter 8 value 719.172586
+#> final value 719.172586
+#> converged
+#> This is Run number 20
#> does sou_gis exist: FALSE
#>
#> dataset final_set exists: FALSE
@@ -631,42 +1047,43 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block group V_1 V_2 e_1 e_2 U_1 U_2
-#> 1 1 9 80 5.0 0 60 20.0 10.0 1 1 -1.150 -1.800 1.1057596 0.8176933 -0.04424039 -0.9823067
-#> 2 1 12 60 2.5 10 40 20.0 0.0 1 1 -0.575 -1.800 1.4664332 0.2855647 0.89143319 -1.5144353
-#> 3 1 13 20 20.0 10 80 2.5 0.0 1 1 -1.400 -0.975 -0.2567456 2.0307365 -1.65674558 1.0557365
-#> 4 1 70 80 5.0 10 20 20.0 2.5 1 1 -0.950 -1.550 1.7936733 0.2273817 0.84367334 -1.3226183
-#> 5 1 71 60 20.0 10 80 10.0 0.0 1 1 -1.800 -1.500 -0.5080847 1.8371868 -2.30808468 0.3371868
-#> 6 1 73 60 10.0 0 40 20.0 10.0 1 1 -1.300 -1.600 0.2315646 0.5250324 -1.06843538 -1.0749676
-#> CHOICE
-#> 1 1
-#> 2 1
-#> 3 2
-#> 4 1
-#> 5 2
-#> 6 1
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.54093200 0.9146525 0.99093200 -11.6853475 1
+#> 2 1 -0.95 -2.35 0.99359644 0.8103119 0.04359644 -1.5396881 1
+#> 3 1 -6.20 -2.30 -0.05574717 3.6530462 -6.25574717 1.3530462 2
+#> 4 1 -13.90 -2.55 1.14689252 0.3959909 -12.75310748 -2.1540091 2
+#> 5 1 -14.40 -5.80 -0.29085079 0.6199654 -14.69085079 -5.1800346 2
+#> 6 1 -3.60 -1.70 -0.57138927 1.2125393 -4.17138927 -0.4874607 2
#>
#>
-#> This is the utility functions
-#> U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;Initial function value: -998.1319
+#> Initial function value: -998.1319
#> Initial gradient value:
-#> bpreis blade bwarte
-#> -2720.0 -3230.0 1477.5
+#> bpreis blade bwarte
+#> 5940 -38500 6550
#> initial value 998.131940
-#> iter 2 value 961.903346
-#> iter 3 value 923.013503
-#> iter 4 value 921.553693
-#> iter 5 value 899.826852
-#> iter 6 value 899.416093
-#> iter 7 value 899.408733
-#> iter 7 value 899.408728
-#> iter 7 value 899.408728
-#> final value 899.408728
+#> iter 2 value 819.663167
+#> iter 3 value 806.484485
+#> iter 4 value 803.481753
+#> iter 5 value 766.853816
+#> iter 6 value 758.331166
+#> iter 7 value 756.931409
+#> iter 8 value 756.900884
+#> iter 9 value 756.900831
+#> iter 9 value 756.900822
+#> iter 9 value 756.900817
+#> final value 756.900817
#> converged
-#> This is Run number 2
+#> This is Run number 21
#> does sou_gis exist: FALSE
#>
#> dataset final_set exists: FALSE
@@ -675,80 +1092,179 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block group V_1 V_2 e_1 e_2 U_1 U_2
-#> 1 1 9 80 5.0 0 60 20.0 10.0 1 1 -1.150 -1.800 -0.55606335 0.4418297 -1.7060633 -1.3581703
-#> 2 1 12 60 2.5 10 40 20.0 0.0 1 1 -0.575 -1.800 -0.70525965 0.3030154 -1.2802596 -1.4969846
-#> 3 1 13 20 20.0 10 80 2.5 0.0 1 1 -1.400 -0.975 0.76358526 1.1547805 -0.6364147 0.1797805
-#> 4 1 70 80 5.0 10 20 20.0 2.5 1 1 -0.950 -1.550 -0.50057341 1.6569802 -1.4505734 0.1069802
-#> 5 1 71 60 20.0 10 80 10.0 0.0 1 1 -1.800 -1.500 0.95196390 4.6640005 -0.8480361 3.1640005
-#> 6 1 73 60 10.0 0 40 20.0 10.0 1 1 -1.300 -1.600 -0.07807331 0.9519585 -1.3780733 -0.6480415
-#> CHOICE
-#> 1 2
-#> 2 1
-#> 3 2
-#> 4 2
-#> 5 2
-#> 6 2
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 3.1726579 -1.3164440 2.622657902 -13.9164440 1
+#> 2 1 -0.95 -2.35 0.9532956 3.6710337 0.003295594 1.3210337 2
+#> 3 1 -6.20 -2.30 0.6409443 0.4491905 -5.559055733 -1.8508095 2
+#> 4 1 -13.90 -2.55 -0.3810352 2.1951681 -14.281035155 -0.3548319 2
+#> 5 1 -14.40 -5.80 1.5795551 -0.3248330 -12.820444855 -6.1248330 2
+#> 6 1 -3.60 -1.70 -0.4157202 -0.5185339 -4.015720176 -2.2185339 2
#>
#>
-#> This is the utility functions
-#> U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;Initial function value: -998.1319
+#> Initial function value: -998.1319
#> Initial gradient value:
-#> bpreis blade bwarte
-#> -1480.0 -3742.5 752.5
+#> bpreis blade bwarte
+#> 6420 -39550 7375
#> initial value 998.131940
-#> iter 2 value 931.326512
-#> iter 3 value 904.389362
-#> iter 4 value 902.747564
-#> iter 5 value 895.585146
-#> iter 6 value 895.212841
-#> iter 7 value 895.208094
-#> iter 7 value 895.208091
-#> iter 7 value 895.208091
-#> final value 895.208091
+#> iter 2 value 799.220577
+#> iter 3 value 784.729741
+#> iter 4 value 783.181163
+#> iter 5 value 749.406678
+#> iter 6 value 740.779257
+#> iter 7 value 739.551151
+#> iter 8 value 739.526731
+#> iter 9 value 739.526702
+#> iter 9 value 739.526693
+#> iter 9 value 739.526686
+#> final value 739.526686
#> converged
+#> This is Run number 22
+#> does sou_gis exist: FALSE
#>
+#> dataset final_set exists: FALSE
#>
-#> ================ ==== === ===== ==== ===== ===== ===== ====
-#> \ vars n mean sd min max range se
-#> ================ ==== === ===== ==== ===== ===== ===== ====
-#> est_bpreis 1 2 -0.01 0.00 -0.01 -0.01 0.00 0.00
-#> est_blade 2 2 -0.05 0.01 -0.05 -0.04 0.01 0.01
-#> est_bwarte 3 2 0.01 0.03 0.00 0.03 0.04 0.02
-#> rob_pval0_bpreis 4 2 0.00 0.00 0.00 0.00 0.00 0.00
-#> rob_pval0_blade 5 2 0.00 0.00 0.00 0.00 0.00 0.00
-#> rob_pval0_bwarte 6 2 0.28 0.40 0.00 0.57 0.57 0.28
-#> ================ ==== === ===== ==== ===== ===== ===== ====
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
#>
-#> FALSE TRUE
-#> 50 50
-#> Utility function used in simulation, ie the true utility:
+#> data has been created
#>
-#> $u1
-#> $u1$v1
-#> V.1 ~ bpreis * alt1.x1 + blade * alt1.x2 + bwarte * alt1.x3
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.8175021 -0.35435672 -1.367502 -12.954357 1
+#> 2 1 -0.95 -2.35 -0.1995796 -0.61567055 -1.149580 -2.965671 1
+#> 3 1 -6.20 -2.30 0.7204438 0.23624759 -5.479556 -2.063752 2
+#> 4 1 -13.90 -2.55 1.8926614 -0.02072729 -12.007339 -2.570727 2
+#> 5 1 -14.40 -5.80 -0.2718300 0.18629880 -14.671830 -5.613701 2
+#> 6 1 -3.60 -1.70 -0.6245241 0.21125305 -4.224524 -1.488747 2
#>
-#> $u1$v2
-#> V.2 ~ bpreis * alt2.x1 + blade * alt2.x2 + bwarte * alt2.x3
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5600 -37200 7575
+#> initial value 998.131940
+#> iter 2 value 832.190865
+#> iter 3 value 818.820408
+#> iter 4 value 816.918318
+#> iter 5 value 776.346371
+#> iter 6 value 768.166574
+#> iter 7 value 766.883717
+#> iter 8 value 766.861318
+#> iter 9 value 766.861291
+#> iter 9 value 766.861281
+#> iter 9 value 766.861276
+#> final value 766.861276
+#> converged
+#> This is Run number 23
+#> does sou_gis exist: FALSE
#>
+#> dataset final_set exists: FALSE
#>
-#> $u2
-#> $u2$v1
-#> V.1 ~ bpreis * alt1.x1
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
#>
-#> $u2$v2
-#> V.2 ~ bpreis * alt2.x1
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.23997973 1.6529340 -0.3100203 -10.947066 1
+#> 2 1 -0.95 -2.35 -0.35775476 -1.0901106 -1.3077548 -3.440111 1
+#> 3 1 -6.20 -2.30 0.05300973 -1.1033464 -6.1469903 -3.403346 2
+#> 4 1 -13.90 -2.55 1.55715428 1.0464371 -12.3428457 -1.503563 2
+#> 5 1 -14.40 -5.80 1.06540419 0.6167304 -13.3345958 -5.183270 2
+#> 6 1 -3.60 -1.70 -0.29567605 0.3535731 -3.8956761 -1.346427 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5880 -39025 6950
+#> initial value 998.131940
+#> iter 2 value 809.832251
+#> iter 3 value 794.516541
+#> iter 4 value 791.150581
+#> iter 5 value 756.230383
+#> iter 6 value 747.646775
+#> iter 7 value 746.359738
+#> iter 8 value 746.333251
+#> iter 9 value 746.333218
+#> iter 9 value 746.333210
+#> iter 9 value 746.333205
+#> final value 746.333205
+#> converged
+#> This is Run number 24
+#> does sou_gis exist: FALSE
#>
+#> dataset final_set exists: FALSE
#>
-#> Utility function used for Logit estimation with mixl:
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5811512 -0.6668047 -1.131151 -13.2668047 1
+#> 2 1 -0.95 -2.35 2.3536173 -1.0546874 1.403617 -3.4046874 1
+#> 3 1 -6.20 -2.30 -1.0869926 -0.5082091 -7.286993 -2.8082091 2
+#> 4 1 -13.90 -2.55 0.5573746 2.3065882 -13.342625 -0.2434118 2
+#> 5 1 -14.40 -5.80 -0.5445224 0.0458446 -14.944522 -5.7541554 2
+#> 6 1 -3.60 -1.70 -0.3383747 -0.7048156 -3.938375 -2.4048156 2
#>
-#> [1] "U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;"
-#> New names:
-#> • `Choice situation` -> `Choice.situation`
#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -38900 6875
+#> initial value 998.131940
+#> iter 2 value 811.861737
+#> iter 3 value 799.578196
+#> iter 4 value 797.953502
+#> iter 5 value 762.142990
+#> iter 6 value 753.563423
+#> iter 7 value 752.195332
+#> iter 8 value 752.165387
+#> iter 9 value 752.165337
+#> iter 10 value 752.165325
+#> iter 10 value 752.165317
+#> iter 10 value 752.165317
+#> final value 752.165317
+#> converged
+#> This is Run number 25
#> does sou_gis exist: FALSE
#>
#> dataset final_set exists: FALSE
@@ -757,26 +1273,43 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3 group V_1 V_2 e_1 e_2 U_1 U_2
-#> 1 1 1 1 80 20 2.5 20.0 10 5 1 -0.775 -1.500 0.12234341 0.6503776 -0.6526566 -0.84962241
-#> 2 1 2 1 60 40 5.0 10.0 5 10 1 -0.850 -0.900 -0.43360819 0.6615210 -1.2836082 -0.23847900
-#> 3 1 3 1 60 20 20.0 20.0 0 10 1 -2.000 -1.400 -0.31286639 5.7827787 -2.3128664 4.38277870
-#> 4 1 4 1 20 80 20.0 2.5 0 10 1 -1.600 -0.775 -0.15949911 0.6857678 -1.7594991 -0.08923219
-#> 5 1 5 1 40 80 10.0 5.0 10 5 1 -0.900 -1.050 -0.05237788 1.5859039 -0.9523779 0.53590389
-#> 6 1 6 1 60 80 5.0 2.5 0 0 1 -0.950 -0.975 2.34036634 0.2393918 1.3903663 -0.73560816
-#> CHOICE
-#> 1 1
-#> 2 2
-#> 3 2
-#> 4 2
-#> 5 2
-#> 6 1
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.79506340 2.9684872 0.2450634 -9.6315128 1
+#> 2 1 -0.95 -2.35 0.02059948 4.0962295 -0.9294005 1.7462295 2
+#> 3 1 -6.20 -2.30 -0.89827309 -0.2988247 -7.0982731 -2.5988247 2
+#> 4 1 -13.90 -2.55 1.85670394 -0.5479160 -12.0432961 -3.0979160 2
+#> 5 1 -14.40 -5.80 0.33733135 0.2319431 -14.0626686 -5.5680569 2
+#> 6 1 -3.60 -1.70 1.80807202 2.1504539 -1.7919280 0.4504539 2
#>
#>
-#> This is Run number 1
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5800 -38200 6400
+#> initial value 998.131940
+#> iter 2 value 824.772414
+#> iter 3 value 811.610414
+#> iter 4 value 808.317614
+#> iter 5 value 770.861084
+#> iter 6 value 762.384077
+#> iter 7 value 760.960246
+#> iter 8 value 760.929323
+#> iter 9 value 760.929266
+#> iter 9 value 760.929257
+#> iter 9 value 760.929252
+#> final value 760.929252
+#> converged
+#> This is Run number 26
#> does sou_gis exist: FALSE
#>
#> dataset final_set exists: FALSE
@@ -785,41 +1318,44 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3 group V_1 V_2 e_1 e_2 U_1
-#> 1 1 1 1 80 20 2.5 20.0 10 5 1 -0.775 -1.500 1.74395858 1.6507121 0.968958575
-#> 2 1 2 1 60 40 5.0 10.0 5 10 1 -0.850 -0.900 1.10763894 0.9337414 0.257638936
-#> 3 1 3 1 60 20 20.0 20.0 0 10 1 -2.000 -1.400 -1.23519031 -0.7089281 -3.235190315
-#> 4 1 4 1 20 80 20.0 2.5 0 10 1 -1.600 -0.775 -0.06854059 2.1896932 -1.668540589
-#> 5 1 5 1 40 80 10.0 5.0 10 5 1 -0.900 -1.050 0.90927543 0.3884170 0.009275432
-#> 6 1 6 1 60 80 5.0 2.5 0 0 1 -0.950 -0.975 0.57272851 0.4992305 -0.377271490
-#> U_2 CHOICE
-#> 1 0.15071215 1
-#> 2 0.03374141 1
-#> 3 -2.10892809 2
-#> 4 1.41469320 2
-#> 5 -0.66158301 1
-#> 6 -0.47576952 1
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.61494977 0.7730959 0.06494977 -11.826904 1
+#> 2 1 -0.95 -2.35 1.88643832 0.6808709 0.93643832 -1.669129 1
+#> 3 1 -6.20 -2.30 -0.86961688 -0.1904128 -7.06961688 -2.490413 2
+#> 4 1 -13.90 -2.55 -0.05374765 0.7616439 -13.95374765 -1.788356 2
+#> 5 1 -14.40 -5.80 3.47362298 1.5059658 -10.92637702 -4.294034 2
+#> 6 1 -3.60 -1.70 0.28917639 -1.3190910 -3.31082361 -3.019091 2
#>
#>
-#> This is the utility functions
-#> U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;Initial function value: -998.1319
+#> Initial function value: -998.1319
#> Initial gradient value:
#> bpreis blade bwarte
-#> -880 -830 405
+#> 6200 -38275 5925
#> initial value 998.131940
-#> iter 2 value 994.862696
-#> iter 3 value 973.696602
-#> iter 4 value 973.644209
-#> iter 5 value 971.118222
-#> iter 6 value 971.113908
-#> iter 6 value 971.113906
-#> iter 6 value 971.113906
-#> final value 971.113906
+#> iter 2 value 825.848063
+#> iter 3 value 815.246076
+#> iter 4 value 812.696404
+#> iter 5 value 775.260391
+#> iter 6 value 766.794316
+#> iter 7 value 765.220969
+#> iter 8 value 765.183547
+#> iter 9 value 765.183455
+#> iter 10 value 765.183442
+#> iter 10 value 765.183442
+#> iter 10 value 765.183438
+#> final value 765.183438
#> converged
-#> This is Run number 2
+#> This is Run number 27
#> does sou_gis exist: FALSE
#>
#> dataset final_set exists: FALSE
@@ -828,69 +1364,90995 @@ sedrive <- sim_all(nosim = nosim, resps=resps, destype = destype,
#> 1 2
#> 1007 433
#>
-#> data has been made
+#> data has been created
#>
-#> First few observations
-#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3 group V_1 V_2 e_1 e_2 U_1 U_2
-#> 1 1 1 1 80 20 2.5 20.0 10 5 1 -0.775 -1.500 -1.1552146 1.6918663 -1.930215 0.1918663
-#> 2 1 2 1 60 40 5.0 10.0 5 10 1 -0.850 -0.900 3.5255143 2.5874719 2.675514 1.6874719
-#> 3 1 3 1 60 20 20.0 20.0 0 10 1 -2.000 -1.400 -0.1288440 3.2280170 -2.128844 1.8280170
-#> 4 1 4 1 20 80 20.0 2.5 0 10 1 -1.600 -0.775 -0.3072974 -0.3710956 -1.907297 -1.1460956
-#> 5 1 5 1 40 80 10.0 5.0 10 5 1 -0.900 -1.050 -0.6042191 -0.1952303 -1.504219 -1.2452303
-#> 6 1 6 1 60 80 5.0 2.5 0 0 1 -0.950 -0.975 -0.6233011 -0.2803958 -1.573301 -1.2553958
-#> CHOICE
-#> 1 2
-#> 2 1
-#> 3 2
-#> 4 2
-#> 5 2
-#> 6 2
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.17428232 -0.5063131 -0.3757177 -13.1063131 1
+#> 2 1 -0.95 -2.35 0.59503521 0.4532163 -0.3549648 -1.8967837 1
+#> 3 1 -6.20 -2.30 -0.80878323 2.8184548 -7.0087832 0.5184548 2
+#> 4 1 -13.90 -2.55 1.16638698 -1.1685989 -12.7336130 -3.7185989 2
+#> 5 1 -14.40 -5.80 3.87828296 -0.5075608 -10.5217170 -6.3075608 2
+#> 6 1 -3.60 -1.70 0.05482436 1.8947469 -3.5451756 0.1947469 2
#>
#>
-#> This is the utility functions
-#> U_1 = @bpreis *$alt1_x1 + @blade *$alt1_x2 + @bwarte *$alt1_x3 ;U_2 = @bpreis *$alt2_x1 + @blade *$alt2_x2 + @bwarte *$alt2_x3 ;Initial function value: -998.1319
+#> Initial function value: -998.1319
#> Initial gradient value:
-#> bpreis blade bwarte
-#> -1060.0 -832.5 460.0
+#> bpreis blade bwarte
+#> 6540 -37525 6375
#> initial value 998.131940
-#> iter 2 value 994.307556
-#> iter 3 value 972.255010
-#> iter 4 value 972.242499
-#> iter 5 value 968.104609
-#> iter 6 value 968.103010
-#> iter 6 value 968.103008
-#> iter 6 value 968.103008
-#> final value 968.103008
+#> iter 2 value 833.922833
+#> iter 3 value 825.513174
+#> iter 4 value 824.798810
+#> iter 5 value 784.717063
+#> iter 6 value 776.469774
+#> iter 7 value 774.919701
+#> iter 8 value 774.885346
+#> iter 9 value 774.885266
+#> iter 9 value 774.885264
+#> iter 9 value 774.885264
+#> final value 774.885264
#> converged
+#> This is Run number 28
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
#>
-#> ================ ==== === ===== ==== ===== ===== ===== ====
-#> \ vars n mean sd min max range se
-#> ================ ==== === ===== ==== ===== ===== ===== ====
-#> est_bpreis 1 2 -0.01 0.00 -0.01 -0.01 0.00 0.00
-#> est_blade 2 2 -0.05 0.00 -0.05 -0.05 0.00 0.00
-#> est_bwarte 3 2 0.02 0.00 0.01 0.02 0.00 0.00
-#> rob_pval0_bpreis 4 2 0.00 0.00 0.00 0.00 0.00 0.00
-#> rob_pval0_blade 5 2 0.00 0.00 0.00 0.00 0.00 0.00
-#> rob_pval0_bwarte 6 2 0.12 0.08 0.06 0.18 0.12 0.06
-#> ================ ==== === ===== ==== ===== ===== ===== ====
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.009285943 0.99401803 -0.5592859 -11.6059820 1
+#> 2 1 -0.95 -2.35 0.292396581 0.18369436 -0.6576034 -2.1663056 1
+#> 3 1 -6.20 -2.30 -1.115241992 0.01880581 -7.3152420 -2.2811942 2
+#> 4 1 -13.90 -2.55 2.386206195 2.16271800 -11.5137938 -0.3872820 2
+#> 5 1 -14.40 -5.80 0.733583378 0.96497297 -13.6664166 -4.8350270 2
+#> 6 1 -3.60 -1.70 0.401342416 0.96390485 -3.1986576 -0.7360952 2
#>
-#> FALSE
-#> 100
-#> 9.804 sec elapsed
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6080 -38750 8175
+#> initial value 998.131940
+#> iter 2 value 806.438136
+#> iter 3 value 790.250129
+#> iter 4 value 789.046565
+#> iter 5 value 752.928739
+#> iter 6 value 744.477324
+#> iter 7 value 743.317181
+#> iter 8 value 743.298959
+#> iter 9 value 743.298945
+#> iter 9 value 743.298942
+#> iter 10 value 743.298931
+#> iter 10 value 743.298923
+#> iter 10 value 743.298922
+#> final value 743.298922
+#> converged
+#> This is Run number 29
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.7471286 -0.3855214 1.1971286 -12.9855214 1
+#> 2 1 -0.95 -2.35 0.1612026 1.2885028 -0.7887974 -1.0614972 1
+#> 3 1 -6.20 -2.30 3.1399183 0.7451406 -3.0600817 -1.5548594 2
+#> 4 1 -13.90 -2.55 1.1562691 1.1418581 -12.7437309 -1.4081419 2
+#> 5 1 -14.40 -5.80 -0.2553048 -0.4954830 -14.6553048 -6.2954830 2
+#> 6 1 -3.60 -1.70 1.7257312 0.8319119 -1.8742688 -0.8680881 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5680 -36675 6825
+#> initial value 998.131940
+#> iter 2 value 843.431492
+#> iter 3 value 832.639176
+#> iter 4 value 830.764674
+#> iter 5 value 788.737420
+#> iter 6 value 780.709120
+#> iter 7 value 779.326526
+#> iter 8 value 779.300299
+#> iter 9 value 779.300257
+#> iter 9 value 779.300256
+#> iter 9 value 779.300256
+#> final value 779.300256
+#> converged
+#> This is Run number 30
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.4583561 -0.4276330 -1.008356 -13.027633 1
+#> 2 1 -0.95 -2.35 -0.9055229 -0.1672029 -1.855523 -2.517203 1
+#> 3 1 -6.20 -2.30 1.7038551 0.7256820 -4.496145 -1.574318 2
+#> 4 1 -13.90 -2.55 -0.7621098 -0.4771581 -14.662110 -3.027158 2
+#> 5 1 -14.40 -5.80 -0.3998774 -1.0933774 -14.799877 -6.893377 2
+#> 6 1 -3.60 -1.70 1.6273573 0.1763657 -1.972643 -1.523634 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6180 -38075 6375
+#> initial value 998.131940
+#> iter 2 value 826.535088
+#> iter 3 value 815.752278
+#> iter 4 value 813.745311
+#> iter 5 value 775.608465
+#> iter 6 value 767.196971
+#> iter 7 value 765.709509
+#> iter 8 value 765.676337
+#> iter 9 value 765.676270
+#> iter 9 value 765.676260
+#> iter 9 value 765.676254
+#> final value 765.676254
+#> converged
+#> This is Run number 31
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.0695231 0.2012381 -1.619523 -12.3987619 1
+#> 2 1 -0.95 -2.35 -0.3692137 1.7454102 -1.319214 -0.6045898 2
+#> 3 1 -6.20 -2.30 0.9046795 1.4778487 -5.295320 -0.8221513 2
+#> 4 1 -13.90 -2.55 -0.2933849 0.7417986 -14.193385 -1.8082014 2
+#> 5 1 -14.40 -5.80 -0.6282223 1.8206628 -15.028222 -3.9793372 2
+#> 6 1 -3.60 -1.70 0.7008495 -0.9524986 -2.899151 -2.6524986 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6320 -37975 6875
+#> initial value 998.131940
+#> iter 2 value 825.239839
+#> iter 3 value 814.469941
+#> iter 4 value 813.367835
+#> iter 5 value 774.710702
+#> iter 6 value 766.320084
+#> iter 7 value 764.901373
+#> iter 8 value 764.871231
+#> iter 9 value 764.871175
+#> iter 10 value 764.871161
+#> iter 10 value 764.871151
+#> iter 10 value 764.871146
+#> final value 764.871146
+#> converged
+#> This is Run number 32
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.2923237 -0.34185310 -0.2576763 -12.94185310 1
+#> 2 1 -0.95 -2.35 0.1778100 2.28439972 -0.7721900 -0.06560028 2
+#> 3 1 -6.20 -2.30 4.6585126 0.50816742 -1.5414874 -1.79183258 1
+#> 4 1 -13.90 -2.55 2.6096463 0.06879165 -11.2903537 -2.48120835 2
+#> 5 1 -14.40 -5.80 -0.2451368 -0.42604177 -14.6451368 -6.22604177 2
+#> 6 1 -3.60 -1.70 1.2610084 -0.99274356 -2.3389916 -2.69274356 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6520 -38150 5800
+#> initial value 998.131940
+#> iter 2 value 827.981080
+#> iter 3 value 819.282063
+#> iter 4 value 817.639860
+#> iter 5 value 779.580434
+#> iter 6 value 771.185328
+#> iter 7 value 769.529829
+#> iter 8 value 769.489814
+#> iter 9 value 769.489708
+#> iter 10 value 769.489695
+#> iter 10 value 769.489693
+#> iter 10 value 769.489692
+#> final value 769.489692
+#> converged
+#> This is Run number 33
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.7820398 -0.3618176 -1.332040 -12.9618176 1
+#> 2 1 -0.95 -2.35 -0.2823878 0.4905537 -1.232388 -1.8594463 1
+#> 3 1 -6.20 -2.30 0.6124959 0.2771269 -5.587504 -2.0228731 2
+#> 4 1 -13.90 -2.55 1.1618612 0.4721477 -12.738139 -2.0778523 2
+#> 5 1 -14.40 -5.80 2.9320682 -0.3157078 -11.467932 -6.1157078 2
+#> 6 1 -3.60 -1.70 -0.5046445 2.4571157 -4.104644 0.7571157 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5980 -37900 6850
+#> initial value 998.131940
+#> iter 2 value 826.616061
+#> iter 3 value 814.587727
+#> iter 4 value 812.582007
+#> iter 5 value 773.985393
+#> iter 6 value 765.615980
+#> iter 7 value 764.226528
+#> iter 8 value 764.197877
+#> iter 9 value 764.197830
+#> iter 9 value 764.197819
+#> iter 9 value 764.197813
+#> final value 764.197813
+#> converged
+#> This is Run number 34
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.35318374 1.71399735 0.8031837 -10.88600265 1
+#> 2 1 -0.95 -2.35 -0.05992435 -0.10723221 -1.0099244 -2.45723221 1
+#> 3 1 -6.20 -2.30 0.09335095 -1.19775312 -6.1066491 -3.49775312 2
+#> 4 1 -13.90 -2.55 -0.59008289 0.74789339 -14.4900829 -1.80210661 2
+#> 5 1 -14.40 -5.80 1.81945873 0.01755771 -12.5805413 -5.78244229 2
+#> 6 1 -3.60 -1.70 -0.12606651 1.78929845 -3.7260665 0.08929845 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5920 -38325 7575
+#> initial value 998.131940
+#> iter 2 value 816.457874
+#> iter 3 value 801.948179
+#> iter 4 value 800.077130
+#> iter 5 value 762.770038
+#> iter 6 value 754.342467
+#> iter 7 value 753.083401
+#> iter 8 value 753.060307
+#> iter 9 value 753.060281
+#> iter 9 value 753.060272
+#> iter 9 value 753.060266
+#> final value 753.060266
+#> converged
+#> This is Run number 35
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.14043048 1.39313651 -0.4095695 -11.2068635 1
+#> 2 1 -0.95 -2.35 -0.73092421 2.68732915 -1.6809242 0.3373292 2
+#> 3 1 -6.20 -2.30 -0.15294274 1.21610800 -6.3529427 -1.0838920 2
+#> 4 1 -13.90 -2.55 -0.04897067 1.62698452 -13.9489707 -0.9230155 2
+#> 5 1 -14.40 -5.80 1.84091168 0.11293400 -12.5590883 -5.6870660 2
+#> 6 1 -3.60 -1.70 -0.72173644 -0.04155647 -4.3217364 -1.7415565 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5960 -38675 7275
+#> initial value 998.131940
+#> iter 2 value 813.146036
+#> iter 3 value 798.593452
+#> iter 4 value 796.234509
+#> iter 5 value 760.058109
+#> iter 6 value 751.554155
+#> iter 7 value 750.274208
+#> iter 8 value 750.249141
+#> iter 9 value 750.249111
+#> iter 9 value 750.249101
+#> iter 9 value 750.249096
+#> final value 750.249096
+#> converged
+#> This is Run number 36
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.54236870 1.37120574 -1.092369 -11.228794 1
+#> 2 1 -0.95 -2.35 -0.13553929 -1.50755110 -1.085539 -3.857551 1
+#> 3 1 -6.20 -2.30 -0.46534926 -0.08382678 -6.665349 -2.383827 2
+#> 4 1 -13.90 -2.55 -0.07478104 0.78998504 -13.974781 -1.760015 2
+#> 5 1 -14.40 -5.80 0.62893248 0.12093493 -13.771068 -5.679065 2
+#> 6 1 -3.60 -1.70 -0.47623471 -0.68165571 -4.076235 -2.381656 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6000 -37200 6375
+#> initial value 998.131940
+#> iter 2 value 838.701786
+#> iter 3 value 828.804108
+#> iter 4 value 827.012125
+#> iter 5 value 786.387129
+#> iter 6 value 778.216387
+#> iter 7 value 776.731959
+#> iter 8 value 776.700938
+#> iter 9 value 776.700877
+#> iter 9 value 776.700876
+#> iter 9 value 776.700876
+#> final value 776.700876
+#> converged
+#> This is Run number 37
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.7042745 1.71020923 1.1542745 -10.8897908 1
+#> 2 1 -0.95 -2.35 0.8188401 1.73055549 -0.1311599 -0.6194445 1
+#> 3 1 -6.20 -2.30 0.8142049 0.61972236 -5.3857951 -1.6802776 2
+#> 4 1 -13.90 -2.55 1.5539823 2.02942975 -12.3460177 -0.5205703 2
+#> 5 1 -14.40 -5.80 0.2413219 -0.01021182 -14.1586781 -5.8102118 2
+#> 6 1 -3.60 -1.70 -1.1351223 1.98439698 -4.7351223 0.2843970 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -38300 5875
+#> initial value 998.131940
+#> iter 2 value 825.550793
+#> iter 3 value 816.241328
+#> iter 4 value 814.381273
+#> iter 5 value 776.815424
+#> iter 6 value 768.371424
+#> iter 7 value 766.748122
+#> iter 8 value 766.708831
+#> iter 9 value 766.708730
+#> iter 10 value 766.708718
+#> iter 10 value 766.708715
+#> iter 10 value 766.708711
+#> final value 766.708711
+#> converged
+#> This is Run number 38
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.7138098 -0.6272689 0.1638098 -13.227269 1
+#> 2 1 -0.95 -2.35 1.1214789 -0.3768925 0.1714789 -2.726892 1
+#> 3 1 -6.20 -2.30 -0.7095841 0.6286292 -6.9095841 -1.671371 2
+#> 4 1 -13.90 -2.55 0.6902177 -1.0113477 -13.2097823 -3.561348 2
+#> 5 1 -14.40 -5.80 1.0391582 -0.3155666 -13.3608418 -6.115567 2
+#> 6 1 -3.60 -1.70 4.6394236 0.6673716 1.0394236 -1.032628 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -38325 6650
+#> initial value 998.131940
+#> iter 2 value 821.529415
+#> iter 3 value 810.144082
+#> iter 4 value 808.364363
+#> iter 5 value 770.894356
+#> iter 6 value 762.425153
+#> iter 7 value 760.993309
+#> iter 8 value 760.961861
+#> iter 9 value 760.961803
+#> iter 9 value 760.961803
+#> iter 9 value 760.961803
+#> final value 760.961803
+#> converged
+#> This is Run number 39
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.78675832 0.06521298 -1.33675832 -12.5347870 1
+#> 2 1 -0.95 -2.35 0.96785957 2.19000495 0.01785957 -0.1599950 1
+#> 3 1 -6.20 -2.30 -1.04345527 0.19961485 -7.24345527 -2.1003852 2
+#> 4 1 -13.90 -2.55 -0.04306056 -0.68188404 -13.94306056 -3.2318840 2
+#> 5 1 -14.40 -5.80 3.13787860 -0.01945734 -11.26212140 -5.8194573 2
+#> 6 1 -3.60 -1.70 0.29463320 1.46263966 -3.30536680 -0.2373603 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -37625 7150
+#> initial value 998.131940
+#> iter 2 value 828.350273
+#> iter 3 value 818.368201
+#> iter 4 value 818.098898
+#> iter 5 value 778.265521
+#> iter 6 value 769.940285
+#> iter 7 value 768.529884
+#> iter 8 value 768.500721
+#> iter 9 value 768.500664
+#> iter 10 value 768.500647
+#> iter 10 value 768.500637
+#> iter 10 value 768.500631
+#> final value 768.500631
+#> converged
+#> This is Run number 40
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 5.64420497 -0.3499432 5.094205 -12.9499432 1
+#> 2 1 -0.95 -2.35 -0.87913942 -0.1768537 -1.829139 -2.5268537 1
+#> 3 1 -6.20 -2.30 0.18467297 1.7994440 -6.015327 -0.5005560 2
+#> 4 1 -13.90 -2.55 0.55369332 1.8287463 -13.346307 -0.7212537 2
+#> 5 1 -14.40 -5.80 0.40074217 0.1881833 -13.999258 -5.6118167 2
+#> 6 1 -3.60 -1.70 -0.05689137 -0.7171636 -3.656891 -2.4171636 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5780 -37300 7100
+#> initial value 998.131940
+#> iter 2 value 833.572147
+#> iter 3 value 821.535543
+#> iter 4 value 819.669924
+#> iter 5 value 779.354791
+#> iter 6 value 771.141273
+#> iter 7 value 769.789226
+#> iter 8 value 769.763318
+#> iter 9 value 769.763279
+#> iter 9 value 769.763268
+#> iter 9 value 769.763262
+#> final value 769.763262
+#> converged
+#> This is Run number 41
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.71344109 -0.61904602 0.1634411 -13.2190460 1
+#> 2 1 -0.95 -2.35 -0.77153748 2.68346729 -1.7215375 0.3334673 2
+#> 3 1 -6.20 -2.30 0.77589563 1.10408139 -5.4241044 -1.1959186 2
+#> 4 1 -13.90 -2.55 2.34094934 1.97225981 -11.5590507 -0.5777402 2
+#> 5 1 -14.40 -5.80 -1.14422438 1.35972356 -15.5442244 -4.4402764 2
+#> 6 1 -3.60 -1.70 0.06537586 0.04048977 -3.5346241 -1.6595102 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6540 -38450 6950
+#> initial value 998.131940
+#> iter 2 value 817.889984
+#> iter 3 value 806.904123
+#> iter 4 value 806.075294
+#> iter 5 value 768.711924
+#> iter 6 value 760.208173
+#> iter 7 value 758.803017
+#> iter 8 value 758.772441
+#> iter 9 value 758.772384
+#> iter 10 value 758.772369
+#> iter 10 value 758.772359
+#> iter 10 value 758.772359
+#> final value 758.772359
+#> converged
+#> This is Run number 42
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.66879038 0.4249742 0.1187904 -12.1750258 1
+#> 2 1 -0.95 -2.35 1.27022437 -0.3186559 0.3202244 -2.6686559 1
+#> 3 1 -6.20 -2.30 3.49196275 0.4859582 -2.7080373 -1.8140418 2
+#> 4 1 -13.90 -2.55 0.06579049 0.8237347 -13.8342095 -1.7262653 2
+#> 5 1 -14.40 -5.80 -0.35180520 -0.9315576 -14.7518052 -6.7315576 2
+#> 6 1 -3.60 -1.70 -0.10000316 1.5322635 -3.7000032 -0.1677365 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6320 -39650 7725
+#> initial value 998.131940
+#> iter 2 value 795.642293
+#> iter 3 value 779.625121
+#> iter 4 value 778.030535
+#> iter 5 value 744.673312
+#> iter 6 value 736.094145
+#> iter 7 value 734.934048
+#> iter 8 value 734.913266
+#> iter 8 value 734.913257
+#> final value 734.913257
+#> converged
+#> This is Run number 43
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.79728459 0.6615376 1.2472846 -11.9384624 1
+#> 2 1 -0.95 -2.35 0.69384936 0.7528065 -0.2561506 -1.5971935 1
+#> 3 1 -6.20 -2.30 0.09488667 -0.2946189 -6.1051133 -2.5946189 2
+#> 4 1 -13.90 -2.55 -0.17879059 0.2140843 -14.0787906 -2.3359157 2
+#> 5 1 -14.40 -5.80 0.20991343 2.4000887 -14.1900866 -3.3999113 2
+#> 6 1 -3.60 -1.70 0.80539326 0.9928431 -2.7946067 -0.7071569 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -39925 6900
+#> initial value 998.131940
+#> iter 2 value 796.234974
+#> iter 3 value 780.987785
+#> iter 4 value 777.914120
+#> iter 5 value 745.620412
+#> iter 6 value 736.936690
+#> iter 7 value 735.696435
+#> iter 8 value 735.669800
+#> iter 9 value 735.669767
+#> iter 9 value 735.669760
+#> iter 9 value 735.669756
+#> final value 735.669756
+#> converged
+#> This is Run number 44
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.15137793 -0.2996835 1.601378 -12.8996835 1
+#> 2 1 -0.95 -2.35 2.20135275 2.6315006 1.251353 0.2815006 1
+#> 3 1 -6.20 -2.30 -0.44624093 1.2011576 -6.646241 -1.0988424 2
+#> 4 1 -13.90 -2.55 -0.92385415 0.3782121 -14.823854 -2.1717879 2
+#> 5 1 -14.40 -5.80 0.75980472 -0.1540351 -13.640195 -5.9540351 2
+#> 6 1 -3.60 -1.70 -0.01342134 0.6343489 -3.613421 -1.0656511 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5800 -39325 7200
+#> initial value 998.131940
+#> iter 2 value 803.937680
+#> iter 3 value 786.970750
+#> iter 4 value 783.227340
+#> iter 5 value 749.361634
+#> iter 6 value 740.778429
+#> iter 7 value 739.562344
+#> iter 8 value 739.538702
+#> iter 9 value 739.538679
+#> iter 9 value 739.538673
+#> iter 9 value 739.538669
+#> final value 739.538669
+#> converged
+#> This is Run number 45
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.2268981 0.52156093 1.6768981 -12.078439 1
+#> 2 1 -0.95 -2.35 1.1853668 0.57665505 0.2353668 -1.773345 1
+#> 3 1 -6.20 -2.30 1.8662031 -1.16877987 -4.3337969 -3.468780 2
+#> 4 1 -13.90 -2.55 1.8871877 0.26783324 -12.0128123 -2.282167 2
+#> 5 1 -14.40 -5.80 2.1544772 -0.06336121 -12.2455228 -5.863361 2
+#> 6 1 -3.60 -1.70 -0.8812035 -0.01736191 -4.4812035 -1.717362 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6740 -38750 6250
+#> initial value 998.131940
+#> iter 2 value 816.998406
+#> iter 3 value 807.551852
+#> iter 4 value 806.444364
+#> iter 5 value 769.928505
+#> iter 6 value 761.376496
+#> iter 7 value 759.822928
+#> iter 8 value 759.785233
+#> iter 9 value 759.785144
+#> iter 10 value 759.785131
+#> iter 10 value 759.785124
+#> iter 10 value 759.785122
+#> final value 759.785122
+#> converged
+#> This is Run number 46
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.0752339 3.5760596 1.5252339 -9.0239404 1
+#> 2 1 -0.95 -2.35 0.8326241 -0.7056624 -0.1173759 -3.0556624 1
+#> 3 1 -6.20 -2.30 -1.2166153 1.7291134 -7.4166153 -0.5708866 2
+#> 4 1 -13.90 -2.55 0.6362095 1.3768847 -13.2637905 -1.1731153 2
+#> 5 1 -14.40 -5.80 -0.9054315 0.3000937 -15.3054315 -5.4999063 2
+#> 6 1 -3.60 -1.70 0.2473169 1.1548039 -3.3526831 -0.5451961 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6280 -38300 7300
+#> initial value 998.131940
+#> iter 2 value 818.263020
+#> iter 3 value 805.890818
+#> iter 4 value 804.812583
+#> iter 5 value 767.149205
+#> iter 6 value 758.688534
+#> iter 7 value 757.361049
+#> iter 8 value 757.334486
+#> iter 9 value 757.334446
+#> iter 10 value 757.334433
+#> iter 10 value 757.334423
+#> iter 10 value 757.334416
+#> final value 757.334416
+#> converged
+#> This is Run number 47
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.002738357 -0.10609074 -0.5527384 -12.70609074 1
+#> 2 1 -0.95 -2.35 -1.106705668 2.26787135 -2.0567057 -0.08212865 2
+#> 3 1 -6.20 -2.30 0.866482793 0.07076876 -5.3335172 -2.22923124 2
+#> 4 1 -13.90 -2.55 -0.515772589 5.44155689 -14.4157726 2.89155689 2
+#> 5 1 -14.40 -5.80 2.332070612 -0.22660395 -12.0679294 -6.02660395 2
+#> 6 1 -3.60 -1.70 -0.294911813 3.35509553 -3.8949118 1.65509553 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7060 -40100 6825
+#> initial value 998.131940
+#> iter 2 value 793.158459
+#> iter 3 value 781.454262
+#> iter 4 value 780.714280
+#> iter 5 value 748.201439
+#> iter 6 value 739.441585
+#> iter 7 value 738.110261
+#> iter 8 value 738.078954
+#> iter 9 value 738.078898
+#> iter 10 value 738.078885
+#> iter 10 value 738.078877
+#> iter 10 value 738.078870
+#> final value 738.078870
+#> converged
+#> This is Run number 48
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.9371712 -0.49542166 2.387171 -13.0954217 1
+#> 2 1 -0.95 -2.35 -0.1214152 0.74815949 -1.071415 -1.6018405 1
+#> 3 1 -6.20 -2.30 -0.1583219 -0.15883663 -6.358322 -2.4588366 2
+#> 4 1 -13.90 -2.55 2.1187215 0.02039968 -11.781279 -2.5296003 2
+#> 5 1 -14.40 -5.80 -1.4620323 2.24545905 -15.862032 -3.5545409 2
+#> 6 1 -3.60 -1.70 0.5090615 1.32945124 -3.090938 -0.3705488 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5960 -37900 6725
+#> initial value 998.131940
+#> iter 2 value 827.293699
+#> iter 3 value 815.341660
+#> iter 4 value 813.156383
+#> iter 5 value 774.601331
+#> iter 6 value 766.229112
+#> iter 7 value 764.822091
+#> iter 8 value 764.792688
+#> iter 9 value 764.792638
+#> iter 9 value 764.792628
+#> iter 9 value 764.792622
+#> final value 764.792622
+#> converged
+#> This is Run number 49
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.8564031 0.7850111 0.3064031 -11.814989 1
+#> 2 1 -0.95 -2.35 0.6465253 -0.2390917 -0.3034747 -2.589092 1
+#> 3 1 -6.20 -2.30 0.0358460 3.6958055 -6.1641540 1.395806 2
+#> 4 1 -13.90 -2.55 -0.8363841 1.3921845 -14.7363841 -1.157815 2
+#> 5 1 -14.40 -5.80 1.3140880 0.0114584 -13.0859120 -5.788542 2
+#> 6 1 -3.60 -1.70 0.8793345 -0.8890097 -2.7206655 -2.589010 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5920 -38175 7275
+#> initial value 998.131940
+#> iter 2 value 820.374861
+#> iter 3 value 806.770309
+#> iter 4 value 804.742841
+#> iter 5 value 766.995619
+#> iter 6 value 758.579463
+#> iter 7 value 757.271294
+#> iter 8 value 757.245909
+#> iter 9 value 757.245876
+#> iter 9 value 757.245865
+#> iter 9 value 757.245859
+#> final value 757.245859
+#> converged
+#> This is Run number 50
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.0705900 5.1100053 -1.620590 -7.4899947 1
+#> 2 1 -0.95 -2.35 -1.1243438 2.1529982 -2.074344 -0.1970018 2
+#> 3 1 -6.20 -2.30 -0.4195396 0.3477998 -6.619540 -1.9522002 2
+#> 4 1 -13.90 -2.55 0.3434726 1.9679806 -13.556527 -0.5820194 2
+#> 5 1 -14.40 -5.80 -0.1494952 -0.4306518 -14.549495 -6.2306518 2
+#> 6 1 -3.60 -1.70 0.6583265 1.2582679 -2.941673 -0.4417321 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -38975 6775
+#> initial value 998.131940
+#> iter 2 value 811.262900
+#> iter 3 value 799.195027
+#> iter 4 value 797.529397
+#> iter 5 value 761.935076
+#> iter 6 value 753.338990
+#> iter 7 value 751.954330
+#> iter 8 value 751.923408
+#> iter 9 value 751.923355
+#> iter 10 value 751.923343
+#> iter 10 value 751.923335
+#> iter 10 value 751.923335
+#> final value 751.923335
+#> converged
+#> This is Run number 51
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.1734721 4.0768734 -0.7234721 -8.523127 1
+#> 2 1 -0.95 -2.35 -0.5763385 1.2462055 -1.5263385 -1.103794 2
+#> 3 1 -6.20 -2.30 0.2401681 -0.1925522 -5.9598319 -2.492552 2
+#> 4 1 -13.90 -2.55 -1.0784556 -0.4946384 -14.9784556 -3.044638 2
+#> 5 1 -14.40 -5.80 0.9013395 0.6825405 -13.4986605 -5.117459 2
+#> 6 1 -3.60 -1.70 2.3287621 -0.6088609 -1.2712379 -2.308861 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5940 -38350 6625
+#> initial value 998.131940
+#> iter 2 value 821.439197
+#> iter 3 value 808.514081
+#> iter 4 value 805.738817
+#> iter 5 value 768.627081
+#> iter 6 value 760.142531
+#> iter 7 value 758.744908
+#> iter 8 value 758.714885
+#> iter 9 value 758.714834
+#> iter 9 value 758.714825
+#> iter 9 value 758.714820
+#> final value 758.714820
+#> converged
+#> This is Run number 52
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.21332141 0.6115616 -0.7633214 -11.988438 1
+#> 2 1 -0.95 -2.35 -0.06550073 -0.2540718 -1.0155007 -2.604072 1
+#> 3 1 -6.20 -2.30 -0.47778568 0.6458479 -6.6777857 -1.654152 2
+#> 4 1 -13.90 -2.55 0.26206233 -0.5363866 -13.6379377 -3.086387 2
+#> 5 1 -14.40 -5.80 -1.28305421 -0.9505438 -15.6830542 -6.750544 2
+#> 6 1 -3.60 -1.70 -0.03367503 3.4157704 -3.6336750 1.715770 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5600 -37700 6850
+#> initial value 998.131940
+#> iter 2 value 829.488034
+#> iter 3 value 815.880643
+#> iter 4 value 812.851747
+#> iter 5 value 773.954597
+#> iter 6 value 765.620054
+#> iter 7 value 764.262927
+#> iter 8 value 764.236153
+#> iter 9 value 764.236115
+#> iter 9 value 764.236106
+#> iter 9 value 764.236102
+#> final value 764.236102
+#> converged
+#> This is Run number 53
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.5840847 -0.53130286 1.03408467 -13.1313029 1
+#> 2 1 -0.95 -2.35 0.9671002 0.57240380 0.01710017 -1.7775962 1
+#> 3 1 -6.20 -2.30 1.1787649 -0.04038893 -5.02123513 -2.3403889 2
+#> 4 1 -13.90 -2.55 0.5168136 0.74795404 -13.38318641 -1.8020460 2
+#> 5 1 -14.40 -5.80 0.0269467 2.70764331 -14.37305330 -3.0923567 2
+#> 6 1 -3.60 -1.70 2.1059306 0.91435411 -1.49406938 -0.7856459 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5860 -38500 7325
+#> initial value 998.131940
+#> iter 2 value 815.434675
+#> iter 3 value 800.680455
+#> iter 4 value 798.200804
+#> iter 5 value 761.549803
+#> iter 6 value 753.081569
+#> iter 7 value 751.804646
+#> iter 8 value 751.780141
+#> iter 9 value 751.780113
+#> iter 9 value 751.780103
+#> iter 9 value 751.780098
+#> final value 751.780098
+#> converged
+#> This is Run number 54
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.1226000 0.48452969 -1.6726000 -12.115470 1
+#> 2 1 -0.95 -2.35 0.5041335 -0.51810840 -0.4458665 -2.868108 1
+#> 3 1 -6.20 -2.30 0.2347791 1.99681704 -5.9652209 -0.303183 2
+#> 4 1 -13.90 -2.55 0.4909746 -0.08782500 -13.4090254 -2.637825 2
+#> 5 1 -14.40 -5.80 -1.0817428 0.09356892 -15.4817428 -5.706431 2
+#> 6 1 -3.60 -1.70 -0.1716076 0.47813314 -3.7716076 -1.221867 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6640 -38100 7375
+#> initial value 998.131940
+#> iter 2 value 820.359070
+#> iter 3 value 809.234542
+#> iter 4 value 808.981016
+#> iter 5 value 770.540398
+#> iter 6 value 762.092484
+#> iter 7 value 760.737481
+#> iter 8 value 760.710046
+#> iter 9 value 760.709998
+#> iter 10 value 760.709983
+#> iter 10 value 760.709974
+#> iter 10 value 760.709966
+#> final value 760.709966
+#> converged
+#> This is Run number 55
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.9081562 2.42970564 2.3581562 -10.170294 1
+#> 2 1 -0.95 -2.35 0.3418053 -0.02434984 -0.6081947 -2.374350 1
+#> 3 1 -6.20 -2.30 -0.5075199 -0.67135129 -6.7075199 -2.971351 2
+#> 4 1 -13.90 -2.55 0.3120520 -0.21792546 -13.5879480 -2.767925 2
+#> 5 1 -14.40 -5.80 0.2889016 0.88446951 -14.1110984 -4.915530 2
+#> 6 1 -3.60 -1.70 0.3922307 0.33060741 -3.2077693 -1.369393 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5660 -36700 7575
+#> initial value 998.131940
+#> iter 2 value 838.829533
+#> iter 3 value 826.877525
+#> iter 4 value 825.526432
+#> iter 5 value 783.392655
+#> iter 6 value 775.339955
+#> iter 7 value 774.050023
+#> iter 8 value 774.027792
+#> iter 9 value 774.027762
+#> iter 9 value 774.027751
+#> iter 9 value 774.027745
+#> final value 774.027745
+#> converged
+#> This is Run number 56
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.002726308 -0.4310971 -0.5472737 -13.03109715 1
+#> 2 1 -0.95 -2.35 0.029817228 0.1321433 -0.9201828 -2.21785665 1
+#> 3 1 -6.20 -2.30 0.852524470 2.2600634 -5.3474755 -0.03993665 2
+#> 4 1 -13.90 -2.55 -0.387014032 0.1709590 -14.2870140 -2.37904103 2
+#> 5 1 -14.40 -5.80 -1.619565647 1.4339483 -16.0195656 -4.36605167 2
+#> 6 1 -3.60 -1.70 -0.864710967 3.0335322 -4.4647110 1.33353222 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7200 -40600 6275
+#> initial value 998.131940
+#> iter 2 value 787.877907
+#> iter 3 value 777.147900
+#> iter 4 value 775.935444
+#> iter 5 value 744.967575
+#> iter 6 value 736.153199
+#> iter 7 value 734.751407
+#> iter 8 value 734.714794
+#> iter 9 value 734.714716
+#> iter 9 value 734.714705
+#> iter 9 value 734.714697
+#> final value 734.714697
+#> converged
+#> This is Run number 57
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.9945020 0.520600487 0.444502 -12.079400 1
+#> 2 1 -0.95 -2.35 -0.1858918 0.007004588 -1.135892 -2.342995 1
+#> 3 1 -6.20 -2.30 -0.2102867 -0.641286324 -6.410287 -2.941286 2
+#> 4 1 -13.90 -2.55 3.7337388 -0.089307883 -10.166261 -2.639308 2
+#> 5 1 -14.40 -5.80 0.2335292 -0.627732068 -14.166471 -6.427732 2
+#> 6 1 -3.60 -1.70 -0.3792656 1.148182025 -3.979266 -0.551818 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6760 -40025 7000
+#> initial value 998.131940
+#> iter 2 value 793.717902
+#> iter 3 value 780.617740
+#> iter 4 value 779.324508
+#> iter 5 value 746.808653
+#> iter 6 value 738.088269
+#> iter 7 value 736.817074
+#> iter 8 value 736.788971
+#> iter 9 value 736.788931
+#> iter 9 value 736.788920
+#> iter 9 value 736.788913
+#> final value 736.788913
+#> converged
+#> This is Run number 58
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.4571985 1.3058410927 -0.09280151 -11.294159 1
+#> 2 1 -0.95 -2.35 -0.1937811 -1.0521658995 -1.14378108 -3.402166 1
+#> 3 1 -6.20 -2.30 -0.9002293 -0.3171285445 -7.10022930 -2.617129 2
+#> 4 1 -13.90 -2.55 2.0540424 -0.0008984213 -11.84595755 -2.550898 2
+#> 5 1 -14.40 -5.80 1.2539520 0.2071496298 -13.14604797 -5.592850 2
+#> 6 1 -3.60 -1.70 0.1663033 -0.2220928603 -3.43369670 -1.922093 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6520 -38425 6300
+#> initial value 998.131940
+#> iter 2 value 821.677556
+#> iter 3 value 811.847539
+#> iter 4 value 810.449793
+#> iter 5 value 773.105717
+#> iter 6 value 764.621464
+#> iter 7 value 763.090220
+#> iter 8 value 763.054354
+#> iter 9 value 763.054274
+#> iter 10 value 763.054262
+#> iter 10 value 763.054255
+#> iter 10 value 763.054252
+#> final value 763.054252
+#> converged
+#> This is Run number 59
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.43597779 1.56527902 -0.9859778 -11.034721 1
+#> 2 1 -0.95 -2.35 3.85699231 0.06030084 2.9069923 -2.289699 1
+#> 3 1 -6.20 -2.30 0.28358072 0.33147899 -5.9164193 -1.968521 2
+#> 4 1 -13.90 -2.55 -0.23075292 0.17126672 -14.1307529 -2.378733 2
+#> 5 1 -14.40 -5.80 0.09154495 1.70106369 -14.3084551 -4.098936 2
+#> 6 1 -3.60 -1.70 1.08872305 -0.50416569 -2.5112770 -2.204166 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -38125 6675
+#> initial value 998.131940
+#> iter 2 value 824.153085
+#> iter 3 value 813.691828
+#> iter 4 value 812.473636
+#> iter 5 value 774.255517
+#> iter 6 value 765.832548
+#> iter 7 value 764.377969
+#> iter 8 value 764.345990
+#> iter 9 value 764.345928
+#> iter 9 value 764.345928
+#> iter 9 value 764.345928
+#> final value 764.345928
+#> converged
+#> This is Run number 60
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.2508201 -0.3734890 -0.2991799 -12.973489 1
+#> 2 1 -0.95 -2.35 -1.3414033 -0.5180348 -2.2914033 -2.868035 1
+#> 3 1 -6.20 -2.30 4.8701170 0.1663493 -1.3298830 -2.133651 1
+#> 4 1 -13.90 -2.55 2.8363642 2.9052270 -11.0636358 0.355227 2
+#> 5 1 -14.40 -5.80 -0.1019067 1.4269929 -14.5019067 -4.373007 2
+#> 6 1 -3.60 -1.70 -0.2679252 0.5507058 -3.8679252 -1.149294 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5680 -38625 6500
+#> initial value 998.131940
+#> iter 2 value 818.145445
+#> iter 3 value 803.059787
+#> iter 4 value 798.995026
+#> iter 5 value 762.916691
+#> iter 6 value 754.331446
+#> iter 7 value 752.976540
+#> iter 8 value 752.947464
+#> iter 9 value 752.947416
+#> iter 9 value 752.947407
+#> iter 9 value 752.947403
+#> final value 752.947403
+#> converged
+#> This is Run number 61
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.14092514 1.0831714 -0.6909251 -11.516829 1
+#> 2 1 -0.95 -2.35 -0.08381742 -1.7439245 -1.0338174 -4.093924 1
+#> 3 1 -6.20 -2.30 -0.42034058 0.8241373 -6.6203406 -1.475863 2
+#> 4 1 -13.90 -2.55 3.81712748 -0.3536398 -10.0828725 -2.903640 2
+#> 5 1 -14.40 -5.80 0.08110513 1.2564924 -14.3188949 -4.543508 2
+#> 6 1 -3.60 -1.70 2.12373749 -0.3276367 -1.4762625 -2.027637 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6140 -38550 7450
+#> initial value 998.131940
+#> iter 2 value 813.862286
+#> iter 3 value 800.098676
+#> iter 4 value 798.591095
+#> iter 5 value 761.819604
+#> iter 6 value 753.332299
+#> iter 7 value 752.054468
+#> iter 8 value 752.029896
+#> iter 9 value 752.029865
+#> iter 9 value 752.029854
+#> iter 9 value 752.029847
+#> final value 752.029847
+#> converged
+#> This is Run number 62
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.3758963 -0.43300879 -0.1741037 -13.0330088 1
+#> 2 1 -0.95 -2.35 0.6072881 -0.06120956 -0.3427119 -2.4112096 1
+#> 3 1 -6.20 -2.30 1.9644980 0.88644384 -4.2355020 -1.4135562 2
+#> 4 1 -13.90 -2.55 -0.8964901 1.33120664 -14.7964901 -1.2187934 2
+#> 5 1 -14.40 -5.80 -0.9474455 1.23384735 -15.3474455 -4.5661526 2
+#> 6 1 -3.60 -1.70 -0.3889098 2.14841735 -3.9889098 0.4484173 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7160 -40725 6900
+#> initial value 998.131940
+#> iter 2 value 782.639395
+#> iter 3 value 770.073151
+#> iter 4 value 769.243252
+#> iter 5 value 738.689303
+#> iter 6 value 729.908723
+#> iter 7 value 728.669815
+#> iter 8 value 728.641377
+#> iter 9 value 728.641335
+#> iter 9 value 728.641324
+#> iter 9 value 728.641316
+#> final value 728.641316
+#> converged
+#> This is Run number 63
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.09708567 0.22972358 -0.4529143 -12.3702764 1
+#> 2 1 -0.95 -2.35 -0.28340339 0.90102124 -1.2334034 -1.4489788 1
+#> 3 1 -6.20 -2.30 -0.72245935 1.42273912 -6.9224594 -0.8772609 2
+#> 4 1 -13.90 -2.55 -0.26040919 -0.55923959 -14.1604092 -3.1092396 2
+#> 5 1 -14.40 -5.80 5.96485406 -0.04564194 -8.4351459 -5.8456419 2
+#> 6 1 -3.60 -1.70 0.77720827 1.06356686 -2.8227917 -0.6364331 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5540 -37050 6825
+#> initial value 998.131940
+#> iter 2 value 838.484488
+#> iter 3 value 826.128444
+#> iter 4 value 823.520020
+#> iter 5 value 782.698589
+#> iter 6 value 774.543489
+#> iter 7 value 773.173324
+#> iter 8 value 773.147130
+#> iter 9 value 773.147091
+#> iter 9 value 773.147082
+#> iter 9 value 773.147078
+#> final value 773.147078
+#> converged
+#> This is Run number 64
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.9645116 0.66883180 -1.5145116 -11.9311682 1
+#> 2 1 -0.95 -2.35 1.3703464 0.50142487 0.4203464 -1.8485751 1
+#> 3 1 -6.20 -2.30 2.4423214 -0.55877465 -3.7576786 -2.8587746 2
+#> 4 1 -13.90 -2.55 0.9106932 -0.06069489 -12.9893068 -2.6106949 2
+#> 5 1 -14.40 -5.80 0.7759955 5.06427833 -13.6240045 -0.7357217 2
+#> 6 1 -3.60 -1.70 1.5890401 1.53529954 -2.0109599 -0.1647005 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6400 -38375 6575
+#> initial value 998.131940
+#> iter 2 value 821.095508
+#> iter 3 value 810.427510
+#> iter 4 value 808.992492
+#> iter 5 value 771.547059
+#> iter 6 value 763.067506
+#> iter 7 value 761.604698
+#> iter 8 value 761.571795
+#> iter 9 value 761.571730
+#> iter 9 value 761.571729
+#> iter 9 value 761.571729
+#> final value 761.571729
+#> converged
+#> This is Run number 65
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.2704263 3.37310339 0.7204263 -9.226897 1
+#> 2 1 -0.95 -2.35 -0.3886616 0.08641257 -1.3386616 -2.263587 1
+#> 3 1 -6.20 -2.30 0.9599140 0.79382039 -5.2400860 -1.506180 2
+#> 4 1 -13.90 -2.55 0.1436504 1.29666697 -13.7563496 -1.253333 2
+#> 5 1 -14.40 -5.80 1.0584448 0.70018071 -13.3415552 -5.099819 2
+#> 6 1 -3.60 -1.70 -0.9948526 3.43193013 -4.5948526 1.731930 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7500 -39325 5525
+#> initial value 998.131940
+#> iter 2 value 810.778554
+#> iter 3 value 804.127351
+#> iter 4 value 803.725034
+#> iter 5 value 768.530008
+#> iter 6 value 759.937831
+#> iter 7 value 758.112106
+#> iter 8 value 758.061529
+#> iter 9 value 758.061358
+#> iter 10 value 758.061342
+#> iter 10 value 758.061342
+#> iter 10 value 758.061336
+#> final value 758.061336
+#> converged
+#> This is Run number 66
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.94274035 1.0587750 -1.492740 -11.5412250 1
+#> 2 1 -0.95 -2.35 -0.50325596 0.5223148 -1.453256 -1.8276852 1
+#> 3 1 -6.20 -2.30 0.85593397 1.1380797 -5.344066 -1.1619203 2
+#> 4 1 -13.90 -2.55 0.90895125 0.5227077 -12.991049 -2.0272923 2
+#> 5 1 -14.40 -5.80 0.05103792 1.1640035 -14.348962 -4.6359965 2
+#> 6 1 -3.60 -1.70 -0.97035454 1.5549439 -4.570355 -0.1450561 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6340 -40375 7175
+#> initial value 998.131940
+#> iter 2 value 787.535400
+#> iter 3 value 771.277229
+#> iter 4 value 768.428218
+#> iter 5 value 737.516024
+#> iter 6 value 728.858032
+#> iter 7 value 727.703811
+#> iter 8 value 727.680519
+#> iter 9 value 727.680498
+#> iter 9 value 727.680492
+#> iter 9 value 727.680488
+#> final value 727.680488
+#> converged
+#> This is Run number 67
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.2173684 -0.3451926 1.667368 -12.945193 1
+#> 2 1 -0.95 -2.35 -0.4137732 -0.3473576 -1.363773 -2.697358 1
+#> 3 1 -6.20 -2.30 -1.0058077 0.3302565 -7.205808 -1.969743 2
+#> 4 1 -13.90 -2.55 -0.2291413 -0.4238604 -14.129141 -2.973860 2
+#> 5 1 -14.40 -5.80 -0.1175618 1.4433230 -14.517562 -4.356677 2
+#> 6 1 -3.60 -1.70 2.3114642 0.6781493 -1.288536 -1.021851 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6300 -40450 6625
+#> initial value 998.131940
+#> iter 2 value 789.365128
+#> iter 3 value 773.698035
+#> iter 4 value 769.900117
+#> iter 5 value 739.331998
+#> iter 6 value 730.592069
+#> iter 7 value 729.375716
+#> iter 8 value 729.348246
+#> iter 9 value 729.348207
+#> iter 9 value 729.348202
+#> iter 9 value 729.348197
+#> final value 729.348197
+#> converged
+#> This is Run number 68
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.9237850 0.3464801 1.373785 -12.253520 1
+#> 2 1 -0.95 -2.35 2.1097690 0.8237414 1.159769 -1.526259 1
+#> 3 1 -6.20 -2.30 0.6987535 0.4687134 -5.501246 -1.831287 2
+#> 4 1 -13.90 -2.55 2.0057769 0.9240380 -11.894223 -1.625962 2
+#> 5 1 -14.40 -5.80 -0.9823895 -0.8427107 -15.382389 -6.642711 2
+#> 6 1 -3.60 -1.70 1.4806043 -0.5814357 -2.119396 -2.281436 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5980 -37975 7475
+#> initial value 998.131940
+#> iter 2 value 822.009027
+#> iter 3 value 808.751339
+#> iter 4 value 807.252887
+#> iter 5 value 768.791592
+#> iter 6 value 760.417338
+#> iter 7 value 759.122939
+#> iter 8 value 759.098674
+#> iter 9 value 759.098642
+#> iter 10 value 759.098630
+#> iter 10 value 759.098621
+#> iter 10 value 759.098615
+#> final value 759.098615
+#> converged
+#> This is Run number 69
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.2831594 -0.1999130 -0.2668406 -12.7999130 1
+#> 2 1 -0.95 -2.35 0.4834013 -0.2763667 -0.4665987 -2.6263667 1
+#> 3 1 -6.20 -2.30 1.1292655 1.5569049 -5.0707345 -0.7430951 2
+#> 4 1 -13.90 -2.55 1.0461758 0.6917944 -12.8538242 -1.8582056 2
+#> 5 1 -14.40 -5.80 1.4374732 -1.6730457 -12.9625268 -7.4730457 2
+#> 6 1 -3.60 -1.70 1.0482825 4.2943994 -2.5517175 2.5943994 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7280 -40550 6250
+#> initial value 998.131940
+#> iter 2 value 788.693308
+#> iter 3 value 778.388955
+#> iter 4 value 777.399561
+#> iter 5 value 746.195610
+#> iter 6 value 737.380478
+#> iter 7 value 735.951866
+#> iter 8 value 735.914177
+#> iter 9 value 735.914093
+#> iter 10 value 735.914081
+#> iter 10 value 735.914076
+#> iter 10 value 735.914069
+#> final value 735.914069
+#> converged
+#> This is Run number 70
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.98806493 1.14983111 2.4380649 -11.4501689 1
+#> 2 1 -0.95 -2.35 1.31764356 0.70060328 0.3676436 -1.6493967 1
+#> 3 1 -6.20 -2.30 0.27133930 2.84941387 -5.9286607 0.5494139 2
+#> 4 1 -13.90 -2.55 -0.38386691 0.09670359 -14.2838669 -2.4532964 2
+#> 5 1 -14.40 -5.80 -0.19966443 0.67225741 -14.5996644 -5.1277426 2
+#> 6 1 -3.60 -1.70 0.05103394 0.68438236 -3.5489661 -1.0156176 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7360 -40125 5975
+#> initial value 998.131940
+#> iter 2 value 796.656315
+#> iter 3 value 787.797068
+#> iter 4 value 787.032502
+#> iter 5 value 754.410469
+#> iter 6 value 745.639165
+#> iter 7 value 744.060553
+#> iter 8 value 744.017332
+#> iter 9 value 744.017216
+#> iter 10 value 744.017202
+#> iter 10 value 744.017197
+#> iter 10 value 744.017190
+#> final value 744.017190
+#> converged
+#> This is Run number 71
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.9558678 -0.28590425 1.40586777 -12.8859043 1
+#> 2 1 -0.95 -2.35 0.9939595 -0.47121844 0.04395947 -2.8212184 1
+#> 3 1 -6.20 -2.30 1.3622489 2.04312783 -4.83775108 -0.2568722 2
+#> 4 1 -13.90 -2.55 0.8113508 6.91967651 -13.08864923 4.3696765 2
+#> 5 1 -14.40 -5.80 1.3510047 0.06870411 -13.04899526 -5.7312959 2
+#> 6 1 -3.60 -1.70 -2.0749149 -0.35809217 -5.67491489 -2.0580922 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5840 -38800 7350
+#> initial value 998.131940
+#> iter 2 value 810.909720
+#> iter 3 value 795.271293
+#> iter 4 value 792.441926
+#> iter 5 value 756.788568
+#> iter 6 value 748.279850
+#> iter 7 value 747.029721
+#> iter 8 value 747.005883
+#> iter 9 value 747.005858
+#> iter 9 value 747.005849
+#> iter 9 value 747.005844
+#> final value 747.005844
+#> converged
+#> This is Run number 72
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.68005206 0.51367898 -1.230052 -12.086321 1
+#> 2 1 -0.95 -2.35 3.89628108 -0.02885329 2.946281 -2.378853 1
+#> 3 1 -6.20 -2.30 0.62907324 -1.11398545 -5.570927 -3.413985 2
+#> 4 1 -13.90 -2.55 -1.17330829 -0.17502990 -15.073308 -2.725030 2
+#> 5 1 -14.40 -5.80 1.83859271 -0.29812469 -12.561407 -6.098125 2
+#> 6 1 -3.60 -1.70 -0.08773535 -0.55055796 -3.687735 -2.250558 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5640 -38375 7200
+#> initial value 998.131940
+#> iter 2 value 817.996336
+#> iter 3 value 802.495944
+#> iter 4 value 799.232143
+#> iter 5 value 762.401709
+#> iter 6 value 753.947707
+#> iter 7 value 752.666703
+#> iter 8 value 752.642195
+#> iter 9 value 752.642168
+#> iter 9 value 752.642159
+#> iter 9 value 752.642155
+#> final value 752.642155
+#> converged
+#> This is Run number 73
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.0637934 0.8624431 0.5137934 -11.7375569 1
+#> 2 1 -0.95 -2.35 0.6601374 -0.7218626 -0.2898626 -3.0718626 1
+#> 3 1 -6.20 -2.30 -0.8427415 0.5771343 -7.0427415 -1.7228657 2
+#> 4 1 -13.90 -2.55 1.6078021 0.4439846 -12.2921979 -2.1060154 2
+#> 5 1 -14.40 -5.80 0.1739378 -0.2364939 -14.2260622 -6.0364939 2
+#> 6 1 -3.60 -1.70 1.1675201 1.0402617 -2.4324799 -0.6597383 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6780 -38900 6825
+#> initial value 998.131940
+#> iter 2 value 811.772035
+#> iter 3 value 801.083775
+#> iter 4 value 800.422025
+#> iter 5 value 764.297307
+#> iter 6 value 755.700620
+#> iter 7 value 754.275055
+#> iter 8 value 754.242478
+#> iter 9 value 754.242413
+#> iter 10 value 754.242398
+#> iter 10 value 754.242388
+#> iter 10 value 754.242381
+#> final value 754.242381
+#> converged
+#> This is Run number 74
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.2924840 0.8739020 1.7424840 -11.726098 1
+#> 2 1 -0.95 -2.35 0.1284661 -0.1764717 -0.8215339 -2.526472 1
+#> 3 1 -6.20 -2.30 1.0086759 0.4222885 -5.1913241 -1.877712 2
+#> 4 1 -13.90 -2.55 2.2127638 0.3745331 -11.6872362 -2.175467 2
+#> 5 1 -14.40 -5.80 -0.2433684 4.5157374 -14.6433684 -1.284263 2
+#> 6 1 -3.60 -1.70 1.1963571 -0.6265572 -2.4036429 -2.326557 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -40325 5425
+#> initial value 998.131940
+#> iter 2 value 796.625937
+#> iter 3 value 785.810638
+#> iter 4 value 782.689526
+#> iter 5 value 751.417583
+#> iter 6 value 742.606890
+#> iter 7 value 741.008584
+#> iter 8 value 740.961345
+#> iter 9 value 740.961168
+#> iter 10 value 740.961150
+#> iter 10 value 740.961150
+#> iter 11 value 740.961138
+#> iter 11 value 740.961135
+#> iter 11 value 740.961133
+#> final value 740.961133
+#> converged
+#> This is Run number 75
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.7526788 0.7104879 -1.3026788 -11.889512 1
+#> 2 1 -0.95 -2.35 1.0967658 1.1902048 0.1467658 -1.159795 1
+#> 3 1 -6.20 -2.30 1.2696449 -0.8296046 -4.9303551 -3.129605 2
+#> 4 1 -13.90 -2.55 0.4102497 2.8696700 -13.4897503 0.319670 2
+#> 5 1 -14.40 -5.80 0.9725670 0.9143179 -13.4274330 -4.885682 2
+#> 6 1 -3.60 -1.70 1.5803217 -0.8893010 -2.0196783 -2.589301 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -39500 7300
+#> initial value 998.131940
+#> iter 2 value 800.275257
+#> iter 3 value 786.800005
+#> iter 4 value 785.724964
+#> iter 5 value 751.632452
+#> iter 6 value 742.982749
+#> iter 7 value 741.721943
+#> iter 8 value 741.695990
+#> iter 9 value 741.695955
+#> iter 10 value 741.695944
+#> iter 10 value 741.695935
+#> iter 10 value 741.695928
+#> final value 741.695928
+#> converged
+#> This is Run number 76
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.002203018 1.84932479 -0.5522030 -10.750675 1
+#> 2 1 -0.95 -2.35 0.055219473 0.35429777 -0.8947805 -1.995702 1
+#> 3 1 -6.20 -2.30 -0.688342460 -0.02749961 -6.8883425 -2.327500 2
+#> 4 1 -13.90 -2.55 1.096123941 0.52721483 -12.8038761 -2.022785 2
+#> 5 1 -14.40 -5.80 0.887343077 1.54773004 -13.5126569 -4.252270 2
+#> 6 1 -3.60 -1.70 0.093306994 0.19990133 -3.5066930 -1.500099 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7380 -39075 6425
+#> initial value 998.131940
+#> iter 2 value 810.468861
+#> iter 3 value 801.910484
+#> iter 4 value 801.830183
+#> iter 5 value 765.949678
+#> iter 6 value 757.354382
+#> iter 7 value 755.771362
+#> iter 8 value 755.731368
+#> iter 9 value 755.731260
+#> iter 10 value 755.731242
+#> iter 10 value 755.731234
+#> iter 10 value 755.731226
+#> final value 755.731226
+#> converged
+#> This is Run number 77
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.1461190 -0.1267509 -0.696119 -12.7267509 1
+#> 2 1 -0.95 -2.35 -0.1065639 1.4266081 -1.056564 -0.9233919 2
+#> 3 1 -6.20 -2.30 0.8214025 -0.2072795 -5.378598 -2.5072795 2
+#> 4 1 -13.90 -2.55 -1.3949348 -1.2271316 -15.294935 -3.7771316 2
+#> 5 1 -14.40 -5.80 1.0483308 0.9607808 -13.351669 -4.8392192 2
+#> 6 1 -3.60 -1.70 1.4301829 0.2960541 -2.169817 -1.4039459 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6020 -38075 7150
+#> initial value 998.131940
+#> iter 2 value 822.471399
+#> iter 3 value 809.775560
+#> iter 4 value 808.022519
+#> iter 5 value 769.885747
+#> iter 6 value 761.481827
+#> iter 7 value 760.141959
+#> iter 8 value 760.115221
+#> iter 9 value 760.115181
+#> iter 10 value 760.115169
+#> iter 10 value 760.115160
+#> iter 10 value 760.115160
+#> final value 760.115160
+#> converged
+#> This is Run number 78
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.8893032 1.9656623 -1.43930316 -10.634338 1
+#> 2 1 -0.95 -2.35 3.3472836 0.4352147 2.39728364 -1.914785 1
+#> 3 1 -6.20 -2.30 -0.4710426 -0.6388205 -6.67104263 -2.938821 2
+#> 4 1 -13.90 -2.55 0.6830566 -0.3580751 -13.21694344 -2.908075 2
+#> 5 1 -14.40 -5.80 -0.1114782 1.2884228 -14.51147819 -4.511577 2
+#> 6 1 -3.60 -1.70 3.5861732 0.1459608 -0.01382677 -1.554039 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6520 -40625 6975
+#> initial value 998.131940
+#> iter 2 value 784.520677
+#> iter 3 value 769.116361
+#> iter 4 value 766.435370
+#> iter 5 value 736.184360
+#> iter 6 value 727.483128
+#> iter 7 value 726.315096
+#> iter 8 value 726.290190
+#> iter 9 value 726.290163
+#> iter 9 value 726.290163
+#> iter 9 value 726.290163
+#> final value 726.290163
+#> converged
+#> This is Run number 79
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.1567705 -0.1169315 -0.7067705 -12.7169315 1
+#> 2 1 -0.95 -2.35 1.3874137 0.1202300 0.4374137 -2.2297700 1
+#> 3 1 -6.20 -2.30 1.0389011 4.0860144 -5.1610989 1.7860144 2
+#> 4 1 -13.90 -2.55 0.9800581 -1.1122798 -12.9199419 -3.6622798 2
+#> 5 1 -14.40 -5.80 2.8822508 1.6856565 -11.5177492 -4.1143435 2
+#> 6 1 -3.60 -1.70 -0.4873458 2.0758497 -4.0873458 0.3758497 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6280 -39675 6425
+#> initial value 998.131940
+#> iter 2 value 802.589947
+#> iter 3 value 788.890342
+#> iter 4 value 785.685694
+#> iter 5 value 752.574239
+#> iter 6 value 743.859365
+#> iter 7 value 742.502476
+#> iter 8 value 742.470541
+#> iter 9 value 742.470483
+#> iter 9 value 742.470475
+#> iter 9 value 742.470469
+#> final value 742.470469
+#> converged
+#> This is Run number 80
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.6986578 0.84202093 1.148658 -11.757979 1
+#> 2 1 -0.95 -2.35 0.6242290 -0.78962108 -0.325771 -3.139621 1
+#> 3 1 -6.20 -2.30 0.4635686 1.13209145 -5.736431 -1.167909 2
+#> 4 1 -13.90 -2.55 -0.5302197 0.16731670 -14.430220 -2.382683 2
+#> 5 1 -14.40 -5.80 1.3253005 1.37522472 -13.074700 -4.424775 2
+#> 6 1 -3.60 -1.70 0.4165892 0.03988974 -3.183411 -1.660110 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -41325 6975
+#> initial value 998.131940
+#> iter 2 value 773.106087
+#> iter 3 value 755.069418
+#> iter 4 value 750.865562
+#> iter 5 value 723.186784
+#> iter 6 value 714.574958
+#> iter 7 value 713.534303
+#> iter 8 value 713.513225
+#> iter 9 value 713.513212
+#> iter 9 value 713.513209
+#> iter 9 value 713.513206
+#> final value 713.513206
+#> converged
+#> This is Run number 81
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.8857455 0.69194360 2.335746 -11.908056 1
+#> 2 1 -0.95 -2.35 -0.4785646 0.15365553 -1.428565 -2.196344 1
+#> 3 1 -6.20 -2.30 0.6992334 0.85319884 -5.500767 -1.446801 2
+#> 4 1 -13.90 -2.55 0.5870290 0.08244343 -13.312971 -2.467557 2
+#> 5 1 -14.40 -5.80 -1.5699970 1.28708053 -15.969997 -4.512919 2
+#> 6 1 -3.60 -1.70 -0.4917272 -0.33048189 -4.091727 -2.030482 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6000 -39275 7600
+#> initial value 998.131940
+#> iter 2 value 802.288107
+#> iter 3 value 785.872757
+#> iter 4 value 783.411391
+#> iter 5 value 749.140416
+#> iter 6 value 740.601795
+#> iter 7 value 739.410538
+#> iter 8 value 739.388807
+#> iter 9 value 739.388788
+#> iter 9 value 739.388781
+#> iter 9 value 739.388780
+#> final value 739.388780
+#> converged
+#> This is Run number 82
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.6815306 -0.4990454 0.1315306 -13.09904539 1
+#> 2 1 -0.95 -2.35 -0.2967441 2.4164207 -1.2467441 0.06642072 2
+#> 3 1 -6.20 -2.30 0.1689444 0.7661130 -6.0310556 -1.53388699 2
+#> 4 1 -13.90 -2.55 0.4964737 1.8496352 -13.4035263 -0.70036480 2
+#> 5 1 -14.40 -5.80 0.8407347 1.0421646 -13.5592653 -4.75783541 2
+#> 6 1 -3.60 -1.70 -1.2571612 1.8605432 -4.8571612 0.16054320 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6900 -39150 6800
+#> initial value 998.131940
+#> iter 2 value 808.056514
+#> iter 3 value 797.396430
+#> iter 4 value 796.824326
+#> iter 5 value 761.404299
+#> iter 6 value 752.761342
+#> iter 7 value 751.337283
+#> iter 8 value 751.304138
+#> iter 9 value 751.304071
+#> iter 10 value 751.304056
+#> iter 10 value 751.304046
+#> iter 10 value 751.304039
+#> final value 751.304039
+#> converged
+#> This is Run number 83
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5597245 -1.0562157 -1.109724 -13.6562157 1
+#> 2 1 -0.95 -2.35 2.2426874 1.4630482 1.292687 -0.8869518 1
+#> 3 1 -6.20 -2.30 -0.1302133 1.6207747 -6.330213 -0.6792253 2
+#> 4 1 -13.90 -2.55 2.7377421 0.7494584 -11.162258 -1.8005416 2
+#> 5 1 -14.40 -5.80 -0.6496455 -0.6952994 -15.049646 -6.4952994 2
+#> 6 1 -3.60 -1.70 -0.4470218 0.6057720 -4.047022 -1.0942280 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6280 -38400 7275
+#> initial value 998.131940
+#> iter 2 value 816.973242
+#> iter 3 value 804.458518
+#> iter 4 value 803.292750
+#> iter 5 value 765.943703
+#> iter 6 value 757.464569
+#> iter 7 value 756.138870
+#> iter 8 value 756.112181
+#> iter 9 value 756.112140
+#> iter 10 value 756.112128
+#> iter 10 value 756.112118
+#> iter 10 value 756.112112
+#> final value 756.112112
+#> converged
+#> This is Run number 84
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.00565409 1.4715000 -0.5556541 -11.1285000 1
+#> 2 1 -0.95 -2.35 -0.86209904 -0.8104365 -1.8120990 -3.1604365 1
+#> 3 1 -6.20 -2.30 -1.23565575 0.4038228 -7.4356557 -1.8961772 2
+#> 4 1 -13.90 -2.55 -0.13403324 4.4855720 -14.0340332 1.9355720 2
+#> 5 1 -14.40 -5.80 0.02812253 2.0297037 -14.3718775 -3.7702963 2
+#> 6 1 -3.60 -1.70 -0.09737891 2.2596579 -3.6973789 0.5596579 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6620 -39675 6475
+#> initial value 998.131940
+#> iter 2 value 802.092574
+#> iter 3 value 790.123337
+#> iter 4 value 788.155126
+#> iter 5 value 754.686635
+#> iter 6 value 745.975887
+#> iter 7 value 744.577068
+#> iter 8 value 744.543447
+#> iter 9 value 744.543383
+#> iter 9 value 744.543373
+#> iter 9 value 744.543366
+#> final value 744.543366
+#> converged
+#> This is Run number 85
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.23782935 1.22338909 -0.7878293 -11.3766109 1
+#> 2 1 -0.95 -2.35 -0.89027730 0.14954986 -1.8402773 -2.2004501 1
+#> 3 1 -6.20 -2.30 0.01225359 2.07308943 -6.1877464 -0.2269106 2
+#> 4 1 -13.90 -2.55 -0.56036504 -0.07918101 -14.4603650 -2.6291810 2
+#> 5 1 -14.40 -5.80 -0.50471200 -1.03424789 -14.9047120 -6.8342479 2
+#> 6 1 -3.60 -1.70 1.39182076 4.74249936 -2.2081792 3.0424994 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -39125 5950
+#> initial value 998.131940
+#> iter 2 value 813.102193
+#> iter 3 value 802.363339
+#> iter 4 value 799.959552
+#> iter 5 value 764.939601
+#> iter 6 value 756.303575
+#> iter 7 value 754.747740
+#> iter 8 value 754.708418
+#> iter 9 value 754.708319
+#> iter 10 value 754.708306
+#> iter 10 value 754.708306
+#> iter 10 value 754.708301
+#> final value 754.708301
+#> converged
+#> This is Run number 86
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.71164782 -0.0003000682 -1.2616478 -12.600300 1
+#> 2 1 -0.95 -2.35 0.02092574 1.2677891730 -0.9290743 -1.082211 1
+#> 3 1 -6.20 -2.30 0.07405645 -0.9306325511 -6.1259435 -3.230633 2
+#> 4 1 -13.90 -2.55 -0.46904329 0.5459137931 -14.3690433 -2.004086 2
+#> 5 1 -14.40 -5.80 0.26722338 -0.1514355147 -14.1327766 -5.951436 2
+#> 6 1 -3.60 -1.70 -0.10558449 0.0898571504 -3.7055845 -1.610143 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5500 -37025 8075
+#> initial value 998.131940
+#> iter 2 value 831.429429
+#> iter 3 value 817.182107
+#> iter 4 value 815.542847
+#> iter 5 value 774.386792
+#> iter 6 value 766.259396
+#> iter 7 value 765.033427
+#> iter 8 value 765.014414
+#> iter 8 value 765.014405
+#> final value 765.014405
+#> converged
+#> This is Run number 87
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.7188451 0.2618778 -1.268845 -12.3381222 1
+#> 2 1 -0.95 -2.35 2.2075609 1.6493675 1.257561 -0.7006325 1
+#> 3 1 -6.20 -2.30 -0.8432090 2.0008099 -7.043209 -0.2991901 2
+#> 4 1 -13.90 -2.55 -0.6457151 0.1147588 -14.545715 -2.4352412 2
+#> 5 1 -14.40 -5.80 0.9222172 3.6196986 -13.477783 -2.1803014 2
+#> 6 1 -3.60 -1.70 -1.2049979 -0.9766591 -4.804998 -2.6766591 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6140 -39850 7650
+#> initial value 998.131940
+#> iter 2 value 793.110813
+#> iter 3 value 775.933356
+#> iter 4 value 773.456835
+#> iter 5 value 740.961570
+#> iter 6 value 732.397012
+#> iter 7 value 731.258090
+#> iter 8 value 731.237662
+#> iter 8 value 731.237660
+#> final value 731.237660
+#> converged
+#> This is Run number 88
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.744638159 1.03020721 1.194638 -11.569793 1
+#> 2 1 -0.95 -2.35 -0.793194933 -1.07851091 -1.743195 -3.428511 1
+#> 3 1 -6.20 -2.30 -0.007010485 0.61980791 -6.207010 -1.680192 2
+#> 4 1 -13.90 -2.55 1.177290376 0.86976812 -12.722710 -1.680232 2
+#> 5 1 -14.40 -5.80 -1.132210133 0.72612006 -15.532210 -5.073880 2
+#> 6 1 -3.60 -1.70 -0.072517801 -0.06271019 -3.672518 -1.762710 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -38175 6300
+#> initial value 998.131940
+#> iter 2 value 825.198873
+#> iter 3 value 816.019724
+#> iter 4 value 814.950279
+#> iter 5 value 776.785208
+#> iter 6 value 768.364234
+#> iter 7 value 766.812165
+#> iter 8 value 766.776137
+#> iter 9 value 766.776054
+#> iter 9 value 766.776054
+#> iter 9 value 766.776054
+#> final value 766.776054
+#> converged
+#> This is Run number 89
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.4232817 2.07696403 0.8732817 -10.523036 1
+#> 2 1 -0.95 -2.35 2.7080865 0.94286474 1.7580865 -1.407135 1
+#> 3 1 -6.20 -2.30 3.0254708 0.89297547 -3.1745292 -1.407025 2
+#> 4 1 -13.90 -2.55 -1.0799164 0.61342594 -14.9799164 -1.936574 2
+#> 5 1 -14.40 -5.80 0.8685468 0.70204311 -13.5314532 -5.097957 2
+#> 6 1 -3.60 -1.70 -0.2552806 -0.03218343 -3.8552806 -1.732183 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -39800 6050
+#> initial value 998.131940
+#> iter 2 value 802.352330
+#> iter 3 value 790.135954
+#> iter 4 value 787.157110
+#> iter 5 value 754.310293
+#> iter 6 value 745.562416
+#> iter 7 value 744.107272
+#> iter 8 value 744.070061
+#> iter 9 value 744.069972
+#> iter 9 value 744.069962
+#> iter 9 value 744.069955
+#> final value 744.069955
+#> converged
+#> This is Run number 90
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.44094030 -0.32883801 -0.9909403 -12.928838 1
+#> 2 1 -0.95 -2.35 0.87180930 0.39872858 -0.0781907 -1.951271 1
+#> 3 1 -6.20 -2.30 0.53070026 -0.31913791 -5.6692997 -2.619138 2
+#> 4 1 -13.90 -2.55 1.50135707 -0.31045543 -12.3986429 -2.860455 2
+#> 5 1 -14.40 -5.80 -0.06862105 -0.07179713 -14.4686210 -5.871797 2
+#> 6 1 -3.60 -1.70 0.23052304 5.12983842 -3.3694770 3.429838 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6140 -37325 7500
+#> initial value 998.131940
+#> iter 2 value 830.755377
+#> iter 3 value 819.355764
+#> iter 4 value 818.675097
+#> iter 5 value 778.120094
+#> iter 6 value 769.875666
+#> iter 7 value 768.553430
+#> iter 8 value 768.528831
+#> iter 9 value 768.528793
+#> iter 10 value 768.528780
+#> iter 10 value 768.528771
+#> iter 10 value 768.528764
+#> final value 768.528764
+#> converged
+#> This is Run number 91
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.8172137 2.77756144 0.2672137 -9.8224386 1
+#> 2 1 -0.95 -2.35 4.8469756 0.09810341 3.8969756 -2.2518966 1
+#> 3 1 -6.20 -2.30 0.4007139 0.84027400 -5.7992861 -1.4597260 2
+#> 4 1 -13.90 -2.55 -0.1725408 1.84094520 -14.0725408 -0.7090548 2
+#> 5 1 -14.40 -5.80 0.8811397 2.08972692 -13.5188603 -3.7102731 2
+#> 6 1 -3.60 -1.70 0.1976318 -1.13201925 -3.4023682 -2.8320192 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6400 -37850 6275
+#> initial value 998.131940
+#> iter 2 value 830.048550
+#> iter 3 value 820.774742
+#> iter 4 value 819.462971
+#> iter 5 value 780.467786
+#> iter 6 value 772.128770
+#> iter 7 value 770.585173
+#> iter 8 value 770.550348
+#> iter 9 value 770.550270
+#> iter 9 value 770.550270
+#> iter 9 value 770.550270
+#> final value 770.550270
+#> converged
+#> This is Run number 92
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.3782552 0.5277570 -0.9282552 -12.0722430 1
+#> 2 1 -0.95 -2.35 0.3848940 1.7450431 -0.5651060 -0.6049569 1
+#> 3 1 -6.20 -2.30 1.2760597 0.1427823 -4.9239403 -2.1572177 2
+#> 4 1 -13.90 -2.55 0.2774260 -0.8705159 -13.6225740 -3.4205159 2
+#> 5 1 -14.40 -5.80 -0.6837159 0.7658291 -15.0837159 -5.0341709 2
+#> 6 1 -3.60 -1.70 -0.5557368 1.8227113 -4.1557368 0.1227113 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6760 -40900 8025
+#> initial value 998.131940
+#> iter 2 value 773.525140
+#> iter 3 value 755.780727
+#> iter 4 value 754.784495
+#> iter 5 value 725.218662
+#> iter 6 value 716.705448
+#> iter 7 value 715.693984
+#> iter 8 value 715.678378
+#> iter 9 value 715.678363
+#> iter 9 value 715.678358
+#> iter 9 value 715.678358
+#> final value 715.678358
+#> converged
+#> This is Run number 93
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.42406469 -0.45506422 -0.1259353 -13.0550642 1
+#> 2 1 -0.95 -2.35 0.26999715 1.10979980 -0.6800028 -1.2402002 1
+#> 3 1 -6.20 -2.30 -0.53698555 -1.93636105 -6.7369856 -4.2363611 2
+#> 4 1 -13.90 -2.55 0.42871830 0.02752338 -13.4712817 -2.5224766 2
+#> 5 1 -14.40 -5.80 0.02837421 0.17888129 -14.3716258 -5.6211187 2
+#> 6 1 -3.60 -1.70 3.16162656 0.87174521 -0.4383734 -0.8282548 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7340 -40575 5175
+#> initial value 998.131940
+#> iter 2 value 793.018991
+#> iter 3 value 784.664339
+#> iter 4 value 782.695933
+#> iter 5 value 751.848644
+#> iter 6 value 743.072806
+#> iter 7 value 741.320183
+#> iter 8 value 741.265254
+#> iter 9 value 741.265030
+#> iter 10 value 741.265009
+#> iter 10 value 741.265009
+#> iter 11 value 741.264996
+#> iter 11 value 741.264993
+#> iter 11 value 741.264990
+#> final value 741.264990
+#> converged
+#> This is Run number 94
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.7860526 0.2175871 0.2360526 -12.382413 1
+#> 2 1 -0.95 -2.35 1.4269285 -0.3319648 0.4769285 -2.681965 1
+#> 3 1 -6.20 -2.30 1.6028516 -0.7671012 -4.5971484 -3.067101 2
+#> 4 1 -13.90 -2.55 -0.5500101 -0.6169612 -14.4500101 -3.166961 2
+#> 5 1 -14.40 -5.80 0.6854648 -0.7490042 -13.7145352 -6.549004 2
+#> 6 1 -3.60 -1.70 -1.0744341 0.6171008 -4.6744341 -1.082899 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7040 -37875 6500
+#> initial value 998.131940
+#> iter 2 value 827.873844
+#> iter 3 value 819.910406
+#> iter 4 value 819.823583
+#> iter 5 value 780.536525
+#> iter 6 value 772.212288
+#> iter 7 value 770.626266
+#> iter 8 value 770.589427
+#> iter 9 value 770.589330
+#> iter 10 value 770.589313
+#> iter 10 value 770.589304
+#> iter 10 value 770.589297
+#> final value 770.589297
+#> converged
+#> This is Run number 95
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.52030281 -1.0448761 -1.0703028 -13.644876 1
+#> 2 1 -0.95 -2.35 0.50106016 0.1937960 -0.4489398 -2.156204 1
+#> 3 1 -6.20 -2.30 1.13885214 5.1724104 -5.0611479 2.872410 2
+#> 4 1 -13.90 -2.55 0.07858258 0.4218970 -13.8214174 -2.128103 2
+#> 5 1 -14.40 -5.80 2.27074668 -0.1716853 -12.1292533 -5.971685 2
+#> 6 1 -3.60 -1.70 -1.19075772 -0.2243023 -4.7907577 -1.924302 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5840 -37925 6300
+#> initial value 998.131940
+#> iter 2 value 829.153988
+#> iter 3 value 816.959339
+#> iter 4 value 813.984339
+#> iter 5 value 775.667894
+#> iter 6 value 767.263657
+#> iter 7 value 765.802217
+#> iter 8 value 765.770403
+#> iter 9 value 765.770341
+#> iter 9 value 765.770331
+#> iter 9 value 765.770326
+#> final value 765.770326
+#> converged
+#> This is Run number 96
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.4619269 0.1830388 -0.08807309 -12.416961 1
+#> 2 1 -0.95 -2.35 -1.1055677 1.2947104 -2.05556768 -1.055290 2
+#> 3 1 -6.20 -2.30 -0.9920002 0.7381641 -7.19200015 -1.561836 2
+#> 4 1 -13.90 -2.55 1.2400074 -1.8832944 -12.65999258 -4.433294 2
+#> 5 1 -14.40 -5.80 -0.8096838 1.3550804 -15.20968378 -4.444920 2
+#> 6 1 -3.60 -1.70 1.3494219 4.5936374 -2.25057807 2.893637 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5540 -36625 7350
+#> initial value 998.131940
+#> iter 2 value 841.160825
+#> iter 3 value 829.191831
+#> iter 4 value 827.394110
+#> iter 5 value 785.186479
+#> iter 6 value 777.164053
+#> iter 7 value 775.854991
+#> iter 8 value 775.831950
+#> iter 9 value 775.831919
+#> iter 9 value 775.831908
+#> iter 9 value 775.831903
+#> final value 775.831903
+#> converged
+#> This is Run number 97
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.001834528 0.1211372 -0.5481655 -12.47886279 1
+#> 2 1 -0.95 -2.35 -0.364888939 1.0070213 -1.3148889 -1.34297872 1
+#> 3 1 -6.20 -2.30 -1.023418534 2.2813831 -7.2234185 -0.01861692 2
+#> 4 1 -13.90 -2.55 0.084338947 -0.5288091 -13.8156611 -3.07880910 2
+#> 5 1 -14.40 -5.80 1.765133967 -1.6300936 -12.6348660 -7.43009358 2
+#> 6 1 -3.60 -1.70 0.401290546 1.9348229 -3.1987095 0.23482287 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -37975 6400
+#> initial value 998.131940
+#> iter 2 value 827.830640
+#> iter 3 value 817.119439
+#> iter 4 value 815.163047
+#> iter 5 value 776.729990
+#> iter 6 value 768.343618
+#> iter 7 value 766.859410
+#> iter 8 value 766.826619
+#> iter 9 value 766.826554
+#> iter 9 value 766.826543
+#> iter 9 value 766.826537
+#> final value 766.826537
+#> converged
+#> This is Run number 98
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.2214239 0.23385145 -0.7714239 -12.3661486 1
+#> 2 1 -0.95 -2.35 0.1485121 2.05537818 -0.8014879 -0.2946218 2
+#> 3 1 -6.20 -2.30 -0.5975881 -0.08669776 -6.7975881 -2.3866978 2
+#> 4 1 -13.90 -2.55 -0.5028826 0.77572753 -14.4028826 -1.7742725 2
+#> 5 1 -14.40 -5.80 -1.0752891 -0.56008177 -15.4752891 -6.3600818 2
+#> 6 1 -3.60 -1.70 1.7581633 -0.53301247 -1.8418367 -2.2330125 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6760 -39125 7225
+#> initial value 998.131940
+#> iter 2 value 806.211272
+#> iter 3 value 794.130963
+#> iter 4 value 793.577324
+#> iter 5 value 758.186887
+#> iter 6 value 749.557951
+#> iter 7 value 748.233117
+#> iter 8 value 748.204899
+#> iter 9 value 748.204853
+#> iter 10 value 748.204839
+#> iter 10 value 748.204830
+#> iter 10 value 748.204822
+#> final value 748.204822
+#> converged
+#> This is Run number 99
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.06519970 0.2946808 0.5151997 -12.3053192 1
+#> 2 1 -0.95 -2.35 0.36221651 0.2169767 -0.5877835 -2.1330233 1
+#> 3 1 -6.20 -2.30 -0.15168121 2.4710551 -6.3516812 0.1710551 2
+#> 4 1 -13.90 -2.55 2.97693647 1.4339706 -10.9230635 -1.1160294 2
+#> 5 1 -14.40 -5.80 0.00316157 0.9153798 -14.3968384 -4.8846202 2
+#> 6 1 -3.60 -1.70 1.30588506 1.3028120 -2.2941149 -0.3971880 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5540 -37725 7425
+#> initial value 998.131940
+#> iter 2 value 825.897094
+#> iter 3 value 811.151912
+#> iter 4 value 808.437890
+#> iter 5 value 769.592293
+#> iter 6 value 761.286919
+#> iter 7 value 760.005446
+#> iter 8 value 759.982305
+#> iter 9 value 759.982279
+#> iter 9 value 759.982270
+#> iter 9 value 759.982265
+#> final value 759.982265
+#> converged
+#> This is Run number 100
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.5424929 0.8393994 -0.007507102 -11.760601 1
+#> 2 1 -0.95 -2.35 1.3364321 -0.5358660 0.386432058 -2.885866 1
+#> 3 1 -6.20 -2.30 3.2140910 -0.3558320 -2.985909045 -2.655832 2
+#> 4 1 -13.90 -2.55 -1.1102428 1.6823350 -15.010242773 -0.867665 2
+#> 5 1 -14.40 -5.80 -0.8430685 1.5801660 -15.243068486 -4.219834 2
+#> 6 1 -3.60 -1.70 -0.3074278 0.3142555 -3.907427819 -1.385744 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5860 -37450 6825
+#> initial value 998.131940
+#> iter 2 value 833.021894
+#> iter 3 value 821.415000
+#> iter 4 value 819.414169
+#> iter 5 value 779.545122
+#> iter 6 value 771.290314
+#> iter 7 value 769.895365
+#> iter 8 value 769.867357
+#> iter 9 value 769.867311
+#> iter 9 value 769.867300
+#> iter 9 value 769.867295
+#> final value 769.867295
+#> converged
+#> This is Run number 101
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.4177567 1.1234849 -0.9677567 -11.476515 1
+#> 2 1 -0.95 -2.35 -0.8108214 0.2932045 -1.7608214 -2.056796 1
+#> 3 1 -6.20 -2.30 -0.7437990 1.1748935 -6.9437990 -1.125107 2
+#> 4 1 -13.90 -2.55 -0.2841491 -0.5240037 -14.1841491 -3.074004 2
+#> 5 1 -14.40 -5.80 2.0962448 1.6465735 -12.3037552 -4.153427 2
+#> 6 1 -3.60 -1.70 0.5646285 0.9756100 -3.0353715 -0.724390 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6180 -40125 7000
+#> initial value 998.131940
+#> iter 2 value 792.574507
+#> iter 3 value 776.314691
+#> iter 4 value 772.897455
+#> iter 5 value 741.332557
+#> iter 6 value 732.660217
+#> iter 7 value 731.467736
+#> iter 8 value 731.442932
+#> iter 9 value 731.442906
+#> iter 9 value 731.442900
+#> iter 9 value 731.442896
+#> final value 731.442896
+#> converged
+#> This is Run number 102
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.1628389 -1.1173058 -0.3871611 -13.717306 1
+#> 2 1 -0.95 -2.35 0.4535009 1.3115566 -0.4964991 -1.038443 1
+#> 3 1 -6.20 -2.30 1.8628134 -0.1766261 -4.3371866 -2.476626 2
+#> 4 1 -13.90 -2.55 -0.3649576 0.4817129 -14.2649576 -2.068287 2
+#> 5 1 -14.40 -5.80 2.8226493 -0.7196365 -11.5773507 -6.519637 2
+#> 6 1 -3.60 -1.70 0.9927357 0.1253296 -2.6072643 -1.574670 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5440 -37450 8125
+#> initial value 998.131940
+#> iter 2 value 825.356584
+#> iter 3 value 809.639500
+#> iter 4 value 807.503829
+#> iter 5 value 767.735343
+#> iter 6 value 759.529343
+#> iter 7 value 758.317293
+#> iter 8 value 758.298615
+#> iter 9 value 758.298600
+#> iter 9 value 758.298598
+#> iter 10 value 758.298587
+#> iter 10 value 758.298579
+#> iter 10 value 758.298579
+#> final value 758.298579
+#> converged
+#> This is Run number 103
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.07796849 1.3753498 -0.4720315 -11.224650 1
+#> 2 1 -0.95 -2.35 -0.06360688 0.9425686 -1.0136069 -1.407431 1
+#> 3 1 -6.20 -2.30 0.08685488 -0.6554985 -6.1131451 -2.955499 2
+#> 4 1 -13.90 -2.55 -0.66296248 1.3728537 -14.5629625 -1.177146 2
+#> 5 1 -14.40 -5.80 1.67964597 2.4150648 -12.7203540 -3.384935 2
+#> 6 1 -3.60 -1.70 0.09866260 0.5150201 -3.5013374 -1.184980 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7180 -40400 6400
+#> initial value 998.131940
+#> iter 2 value 790.484082
+#> iter 3 value 779.725808
+#> iter 4 value 778.723689
+#> iter 5 value 747.099805
+#> iter 6 value 738.300139
+#> iter 7 value 736.900041
+#> iter 8 value 736.864265
+#> iter 9 value 736.864191
+#> iter 10 value 736.864179
+#> iter 10 value 736.864173
+#> iter 10 value 736.864166
+#> final value 736.864166
+#> converged
+#> This is Run number 104
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.5828111 -0.53231778 1.032811 -13.132318 1
+#> 2 1 -0.95 -2.35 -0.2370028 0.52920908 -1.187003 -1.820791 1
+#> 3 1 -6.20 -2.30 0.5973776 3.61496297 -5.602622 1.314963 2
+#> 4 1 -13.90 -2.55 -0.1884095 -0.31090653 -14.088409 -2.860907 2
+#> 5 1 -14.40 -5.80 1.1612007 -0.06128768 -13.238799 -5.861288 2
+#> 6 1 -3.60 -1.70 0.6454892 -0.80832087 -2.954511 -2.508321 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5620 -38275 7525
+#> initial value 998.131940
+#> iter 2 value 817.536131
+#> iter 3 value 801.675184
+#> iter 4 value 798.781680
+#> iter 5 value 761.613672
+#> iter 6 value 753.209023
+#> iter 7 value 751.960521
+#> iter 8 value 751.938043
+#> iter 9 value 751.938021
+#> iter 9 value 751.938013
+#> iter 9 value 751.938008
+#> final value 751.938008
+#> converged
+#> This is Run number 105
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.40524442 -0.5430965 0.8552444 -13.143097 1
+#> 2 1 -0.95 -2.35 0.06301837 -0.4978175 -0.8869816 -2.847817 1
+#> 3 1 -6.20 -2.30 -0.27339252 -0.8589458 -6.4733925 -3.158946 2
+#> 4 1 -13.90 -2.55 0.40597044 -0.3665527 -13.4940296 -2.916553 2
+#> 5 1 -14.40 -5.80 0.99030336 -1.0762871 -13.4096966 -6.876287 2
+#> 6 1 -3.60 -1.70 0.14650550 -0.7617994 -3.4534945 -2.461799 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6960 -40425 5050
+#> initial value 998.131940
+#> iter 2 value 796.402308
+#> iter 3 value 786.462839
+#> iter 4 value 783.330902
+#> iter 5 value 752.354794
+#> iter 6 value 743.546725
+#> iter 7 value 741.822076
+#> iter 8 value 741.766938
+#> iter 9 value 741.766669
+#> iter 10 value 741.766643
+#> iter 10 value 741.766642
+#> iter 11 value 741.766625
+#> iter 11 value 741.766619
+#> iter 11 value 741.766616
+#> final value 741.766616
+#> converged
+#> This is Run number 106
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.3706653 -0.6501890 -0.1793347 -13.25018899 1
+#> 2 1 -0.95 -2.35 -0.1868625 2.7003048 -1.1368625 0.35030479 2
+#> 3 1 -6.20 -2.30 2.2690864 4.4052166 -3.9309136 2.10521657 2
+#> 4 1 -13.90 -2.55 4.6366917 2.5933194 -9.2633083 0.04331944 2
+#> 5 1 -14.40 -5.80 -0.2063270 0.5632061 -14.6063270 -5.23679388 2
+#> 6 1 -3.60 -1.70 0.1576100 -0.2597351 -3.4423900 -1.95973514 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5960 -38625 7950
+#> initial value 998.131940
+#> iter 2 value 809.775970
+#> iter 3 value 793.933928
+#> iter 4 value 792.285217
+#> iter 5 value 755.875833
+#> iter 6 value 747.431923
+#> iter 7 value 746.237832
+#> iter 8 value 746.217828
+#> iter 9 value 746.217812
+#> iter 9 value 746.217809
+#> iter 10 value 746.217797
+#> iter 10 value 746.217788
+#> iter 10 value 746.217786
+#> final value 746.217786
+#> converged
+#> This is Run number 107
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.4762951 -0.6836320 0.9262951 -13.2836320 1
+#> 2 1 -0.95 -2.35 -0.4807399 1.0827014 -1.4307399 -1.2672986 2
+#> 3 1 -6.20 -2.30 0.6813360 1.5812004 -5.5186640 -0.7187996 2
+#> 4 1 -13.90 -2.55 1.7734735 2.1870237 -12.1265265 -0.3629763 2
+#> 5 1 -14.40 -5.80 -0.9053541 0.3587707 -15.3053541 -5.4412293 2
+#> 6 1 -3.60 -1.70 1.4485602 4.7696816 -2.1514398 3.0696816 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -38575 7450
+#> initial value 998.131940
+#> iter 2 value 813.171740
+#> iter 3 value 800.922688
+#> iter 4 value 800.432948
+#> iter 5 value 763.447755
+#> iter 6 value 754.915769
+#> iter 7 value 753.606315
+#> iter 8 value 753.580189
+#> iter 9 value 753.580148
+#> iter 10 value 753.580135
+#> iter 10 value 753.580126
+#> iter 10 value 753.580118
+#> final value 753.580118
+#> converged
+#> This is Run number 108
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.2464269 2.4212451 0.6964269 -10.178755 1
+#> 2 1 -0.95 -2.35 4.4072346 -1.4690220 3.4572346 -3.819022 1
+#> 3 1 -6.20 -2.30 1.2752983 0.6047428 -4.9247017 -1.695257 2
+#> 4 1 -13.90 -2.55 1.0704427 -0.1757256 -12.8295573 -2.725726 2
+#> 5 1 -14.40 -5.80 1.0463270 -0.1008591 -13.3536730 -5.900859 2
+#> 6 1 -3.60 -1.70 0.2063991 7.3843605 -3.3936009 5.684360 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -39800 6925
+#> initial value 998.131940
+#> iter 2 value 797.959726
+#> iter 3 value 783.718605
+#> iter 4 value 781.325700
+#> iter 5 value 748.458307
+#> iter 6 value 739.776260
+#> iter 7 value 738.507520
+#> iter 8 value 738.479953
+#> iter 9 value 738.479915
+#> iter 9 value 738.479907
+#> iter 9 value 738.479901
+#> final value 738.479901
+#> converged
+#> This is Run number 109
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.39172647 -0.05203641 -0.1582735 -12.6520364 1
+#> 2 1 -0.95 -2.35 0.35006235 0.18508616 -0.5999376 -2.1649138 1
+#> 3 1 -6.20 -2.30 -0.10029407 2.41787591 -6.3002941 0.1178759 2
+#> 4 1 -13.90 -2.55 1.26744572 3.91574939 -12.6325543 1.3657494 2
+#> 5 1 -14.40 -5.80 -1.26637011 -0.98797537 -15.6663701 -6.7879754 2
+#> 6 1 -3.60 -1.70 0.03827256 1.82511702 -3.5617274 0.1251170 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6040 -39400 6775
+#> initial value 998.131940
+#> iter 2 value 805.087619
+#> iter 3 value 790.091283
+#> iter 4 value 786.704589
+#> iter 5 value 752.878187
+#> iter 6 value 744.227483
+#> iter 7 value 742.932781
+#> iter 8 value 742.904817
+#> iter 9 value 742.904778
+#> iter 9 value 742.904770
+#> iter 9 value 742.904766
+#> final value 742.904766
+#> converged
+#> This is Run number 110
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.0910901 0.90853720 -1.6410901 -11.6914628 1
+#> 2 1 -0.95 -2.35 1.3017514 -1.00060731 0.3517514 -3.3506073 1
+#> 3 1 -6.20 -2.30 1.2648228 -0.05677941 -4.9351772 -2.3567794 2
+#> 4 1 -13.90 -2.55 0.3140348 1.90530349 -13.5859652 -0.6446965 2
+#> 5 1 -14.40 -5.80 0.2810206 0.57483531 -14.1189794 -5.2251647 2
+#> 6 1 -3.60 -1.70 0.7601856 0.34027990 -2.8398144 -1.3597201 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5940 -38125 6575
+#> initial value 998.131940
+#> iter 2 value 824.912812
+#> iter 3 value 812.553499
+#> iter 4 value 809.950878
+#> iter 5 value 772.140296
+#> iter 6 value 763.706414
+#> iter 7 value 762.287589
+#> iter 8 value 762.257174
+#> iter 9 value 762.257121
+#> iter 9 value 762.257111
+#> iter 9 value 762.257106
+#> final value 762.257106
+#> converged
+#> This is Run number 111
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.8058212 0.5478766 -2.35582117 -12.052123 1
+#> 2 1 -0.95 -2.35 0.8956382 3.9970831 -0.05436175 1.647083 2
+#> 3 1 -6.20 -2.30 -1.0416625 1.2273396 -7.24166246 -1.072660 2
+#> 4 1 -13.90 -2.55 1.2373552 0.3883678 -12.66264480 -2.161632 2
+#> 5 1 -14.40 -5.80 2.2001644 1.0020730 -12.19983560 -4.797927 2
+#> 6 1 -3.60 -1.70 0.3534812 0.4687166 -3.24651883 -1.231283 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6680 -39400 6700
+#> initial value 998.131940
+#> iter 2 value 805.065551
+#> iter 3 value 793.444220
+#> iter 4 value 792.117019
+#> iter 5 value 757.657785
+#> iter 6 value 748.986708
+#> iter 7 value 747.595235
+#> iter 8 value 747.562878
+#> iter 9 value 747.562819
+#> iter 10 value 747.562807
+#> iter 10 value 747.562799
+#> iter 10 value 747.562793
+#> final value 747.562793
+#> converged
+#> This is Run number 112
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.3826689 -1.24161744 0.8326689 -13.8416174 1
+#> 2 1 -0.95 -2.35 0.3772576 3.33768768 -0.5727424 0.9876877 2
+#> 3 1 -6.20 -2.30 0.2983948 -0.67344002 -5.9016052 -2.9734400 2
+#> 4 1 -13.90 -2.55 -0.0890675 3.88421060 -13.9890675 1.3342106 2
+#> 5 1 -14.40 -5.80 3.0158876 -0.62171061 -11.3841124 -6.4217106 2
+#> 6 1 -3.60 -1.70 0.9935424 -0.08074774 -2.6064576 -1.7807477 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6260 -39875 7375
+#> initial value 998.131940
+#> iter 2 value 794.308919
+#> iter 3 value 778.338280
+#> iter 4 value 775.959628
+#> iter 5 value 743.431949
+#> iter 6 value 734.810346
+#> iter 7 value 733.630021
+#> iter 8 value 733.607087
+#> iter 9 value 733.607066
+#> iter 9 value 733.607059
+#> iter 9 value 733.607058
+#> final value 733.607058
+#> converged
+#> This is Run number 113
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.3519052 -0.22087558 -0.1980948 -12.8208756 1
+#> 2 1 -0.95 -2.35 1.2378199 -0.07860796 0.2878199 -2.4286080 1
+#> 3 1 -6.20 -2.30 0.4250086 2.64291920 -5.7749914 0.3429192 2
+#> 4 1 -13.90 -2.55 0.6505979 -0.56735223 -13.2494021 -3.1173522 2
+#> 5 1 -14.40 -5.80 0.8804580 -0.51777450 -13.5195420 -6.3177745 2
+#> 6 1 -3.60 -1.70 0.2589436 -0.02692288 -3.3410564 -1.7269229 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6620 -39150 6775
+#> initial value 998.131940
+#> iter 2 value 808.487918
+#> iter 3 value 796.925104
+#> iter 4 value 795.689517
+#> iter 5 value 760.472944
+#> iter 6 value 751.841719
+#> iter 7 value 750.448134
+#> iter 8 value 750.416367
+#> iter 9 value 750.416309
+#> iter 10 value 750.416297
+#> iter 10 value 750.416288
+#> iter 10 value 750.416282
+#> final value 750.416282
+#> converged
+#> This is Run number 114
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.603536490 4.4812340 -1.1535365 -8.11876598 1
+#> 2 1 -0.95 -2.35 1.290789430 2.2773126 0.3407894 -0.07268735 1
+#> 3 1 -6.20 -2.30 0.003402257 5.9140531 -6.1965977 3.61405310 2
+#> 4 1 -13.90 -2.55 2.397009249 0.9084427 -11.5029908 -1.64155726 2
+#> 5 1 -14.40 -5.80 0.742565603 -0.4794452 -13.6574344 -6.27944515 2
+#> 6 1 -3.60 -1.70 1.486062314 -0.2661207 -2.1139377 -1.96612070 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -37400 6925
+#> initial value 998.131940
+#> iter 2 value 832.765736
+#> iter 3 value 823.424745
+#> iter 4 value 823.020686
+#> iter 5 value 782.559148
+#> iter 6 value 774.309776
+#> iter 7 value 772.861929
+#> iter 8 value 772.831602
+#> iter 9 value 772.831539
+#> iter 10 value 772.831523
+#> iter 10 value 772.831513
+#> iter 10 value 772.831508
+#> final value 772.831508
+#> converged
+#> This is Run number 115
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.5331682 1.3911256 -0.0168318 -11.208874 1
+#> 2 1 -0.95 -2.35 -1.3483805 1.1460807 -2.2983805 -1.203919 2
+#> 3 1 -6.20 -2.30 -0.6134916 0.0323085 -6.8134916 -2.267692 2
+#> 4 1 -13.90 -2.55 1.9731837 1.1929599 -11.9268163 -1.357040 2
+#> 5 1 -14.40 -5.80 -0.1644487 3.4581791 -14.5644487 -2.341821 2
+#> 6 1 -3.60 -1.70 1.6290556 0.4892958 -1.9709444 -1.210704 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6320 -37250 6025
+#> initial value 998.131940
+#> iter 2 value 839.546954
+#> iter 3 value 831.298995
+#> iter 4 value 830.002911
+#> iter 5 value 789.364037
+#> iter 6 value 781.212880
+#> iter 7 value 779.624756
+#> iter 8 value 779.589912
+#> iter 9 value 779.589831
+#> iter 9 value 779.589820
+#> iter 9 value 779.589816
+#> final value 779.589816
+#> converged
+#> This is Run number 116
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.06747118 -1.0469348 -0.4825288 -13.646935 1
+#> 2 1 -0.95 -2.35 2.01765020 0.5799595 1.0676502 -1.770041 1
+#> 3 1 -6.20 -2.30 -0.75327868 1.0381586 -6.9532787 -1.261841 2
+#> 4 1 -13.90 -2.55 0.66372100 1.4667980 -13.2362790 -1.083202 2
+#> 5 1 -14.40 -5.80 1.91002904 3.0442269 -12.4899710 -2.755773 2
+#> 6 1 -3.60 -1.70 1.64466850 -0.5971875 -1.9553315 -2.297188 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6680 -38775 6900
+#> initial value 998.131940
+#> iter 2 value 813.306633
+#> iter 3 value 802.338936
+#> iter 4 value 801.590755
+#> iter 5 value 765.141387
+#> iter 6 value 756.570232
+#> iter 7 value 755.161933
+#> iter 8 value 755.130457
+#> iter 9 value 755.130397
+#> iter 10 value 755.130382
+#> iter 10 value 755.130372
+#> iter 10 value 755.130365
+#> final value 755.130365
+#> converged
+#> This is Run number 117
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.4045822 0.4387684 0.8545822 -12.161232 1
+#> 2 1 -0.95 -2.35 1.3983074 3.4322257 0.4483074 1.082226 2
+#> 3 1 -6.20 -2.30 -1.3395984 0.9512213 -7.5395984 -1.348779 2
+#> 4 1 -13.90 -2.55 -0.4738667 -0.5406114 -14.3738667 -3.090611 2
+#> 5 1 -14.40 -5.80 -0.6829639 2.0351891 -15.0829639 -3.764811 2
+#> 6 1 -3.60 -1.70 1.6339875 3.2106441 -1.9660125 1.510644 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7100 -39175 6575
+#> initial value 998.131940
+#> iter 2 value 808.623354
+#> iter 3 value 799.000421
+#> iter 4 value 798.628478
+#> iter 5 value 763.169641
+#> iter 6 value 754.523404
+#> iter 7 value 753.024454
+#> iter 8 value 752.987845
+#> iter 9 value 752.987760
+#> iter 10 value 752.987743
+#> iter 10 value 752.987734
+#> iter 10 value 752.987727
+#> final value 752.987727
+#> converged
+#> This is Run number 118
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.6235698 -0.1444569 -1.1735698 -12.744457 1
+#> 2 1 -0.95 -2.35 0.5702282 -0.8272312 -0.3797718 -3.177231 1
+#> 3 1 -6.20 -2.30 -0.7591878 4.6361855 -6.9591878 2.336186 2
+#> 4 1 -13.90 -2.55 -0.1806253 0.7253241 -14.0806253 -1.824676 2
+#> 5 1 -14.40 -5.80 -0.2472027 2.1010108 -14.6472027 -3.698989 2
+#> 6 1 -3.60 -1.70 -0.7508465 -0.4454714 -4.3508465 -2.145471 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6000 -38475 7200
+#> initial value 998.131940
+#> iter 2 value 816.471785
+#> iter 3 value 802.714777
+#> iter 4 value 800.600099
+#> iter 5 value 763.746666
+#> iter 6 value 755.268351
+#> iter 7 value 753.960391
+#> iter 8 value 753.934366
+#> iter 9 value 753.934331
+#> iter 9 value 753.934320
+#> iter 9 value 753.934315
+#> final value 753.934315
+#> converged
+#> This is Run number 119
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.73532364 0.5536026 0.1853236 -12.0463974 1
+#> 2 1 -0.95 -2.35 1.06250084 -0.8391651 0.1125008 -3.1891651 1
+#> 3 1 -6.20 -2.30 0.13021923 -0.7465294 -6.0697808 -3.0465294 2
+#> 4 1 -13.90 -2.55 1.61984241 0.1540740 -12.2801576 -2.3959260 2
+#> 5 1 -14.40 -5.80 -0.01241165 4.5142412 -14.4124117 -1.2857588 2
+#> 6 1 -3.60 -1.70 -0.76568476 0.9609069 -4.3656848 -0.7390931 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6900 -40675 6575
+#> initial value 998.131940
+#> iter 2 value 785.510710
+#> iter 3 value 772.756777
+#> iter 4 value 770.895300
+#> iter 5 value 740.440300
+#> iter 6 value 731.657421
+#> iter 7 value 730.378372
+#> iter 8 value 730.347558
+#> iter 9 value 730.347508
+#> iter 9 value 730.347507
+#> iter 9 value 730.347507
+#> final value 730.347507
+#> converged
+#> This is Run number 120
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.01594104 4.1415568 -0.5659410 -8.458443 1
+#> 2 1 -0.95 -2.35 1.34969009 0.1006979 0.3996901 -2.249302 1
+#> 3 1 -6.20 -2.30 -0.82920188 -1.0474885 -7.0292019 -3.347488 2
+#> 4 1 -13.90 -2.55 -0.54090910 0.2416173 -14.4409091 -2.308383 2
+#> 5 1 -14.40 -5.80 0.03498942 -0.2569341 -14.3650106 -6.056934 2
+#> 6 1 -3.60 -1.70 1.45119880 1.4463160 -2.1488012 -0.253684 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5880 -37025 6550
+#> initial value 998.131940
+#> iter 2 value 840.204456
+#> iter 3 value 829.913440
+#> iter 4 value 828.081264
+#> iter 5 value 786.992376
+#> iter 6 value 778.866204
+#> iter 7 value 777.423344
+#> iter 8 value 777.394222
+#> iter 9 value 777.394169
+#> iter 9 value 777.394167
+#> iter 9 value 777.394167
+#> final value 777.394167
+#> converged
+#> This is Run number 121
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.007398645 -0.6456223 -0.5573986 -13.2456223 1
+#> 2 1 -0.95 -2.35 2.755982139 -1.4123493 1.8059821 -3.7623493 1
+#> 3 1 -6.20 -2.30 -0.962504418 1.8263480 -7.1625044 -0.4736520 2
+#> 4 1 -13.90 -2.55 -0.738591477 -0.4129857 -14.6385915 -2.9629857 2
+#> 5 1 -14.40 -5.80 0.921618417 3.8217972 -13.4783816 -1.9782028 2
+#> 6 1 -3.60 -1.70 0.368379844 1.0427421 -3.2316202 -0.6572579 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6620 -39000 6425
+#> initial value 998.131940
+#> iter 2 value 812.553482
+#> iter 3 value 801.917743
+#> iter 4 value 800.469960
+#> iter 5 value 764.820947
+#> iter 6 value 756.213543
+#> iter 7 value 754.735317
+#> iter 8 value 754.700099
+#> iter 9 value 754.700025
+#> iter 10 value 754.700013
+#> iter 10 value 754.700006
+#> iter 10 value 754.700006
+#> final value 754.700006
+#> converged
+#> This is Run number 122
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.1044082 -1.0239845 0.5544082 -13.6239845 1
+#> 2 1 -0.95 -2.35 1.8460893 -0.3844123 0.8960893 -2.7344123 1
+#> 3 1 -6.20 -2.30 4.6929555 0.2772338 -1.5070445 -2.0227662 1
+#> 4 1 -13.90 -2.55 -0.6429437 1.7768983 -14.5429437 -0.7731017 2
+#> 5 1 -14.40 -5.80 0.1151027 -1.2141846 -14.2848973 -7.0141846 2
+#> 6 1 -3.60 -1.70 2.2423465 0.3866359 -1.3576535 -1.3133641 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6680 -39975 6725
+#> initial value 998.131940
+#> iter 2 value 796.078869
+#> iter 3 value 783.337508
+#> iter 4 value 781.563694
+#> iter 5 value 748.983905
+#> iter 6 value 740.254234
+#> iter 7 value 738.934391
+#> iter 8 value 738.903793
+#> iter 9 value 738.903743
+#> iter 9 value 738.903743
+#> iter 9 value 738.903743
+#> final value 738.903743
+#> converged
+#> This is Run number 123
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.4958699 0.4953689 -1.0458699 -12.1046311 1
+#> 2 1 -0.95 -2.35 0.8843669 2.6466201 -0.0656331 0.2966201 2
+#> 3 1 -6.20 -2.30 -0.7861591 0.7865901 -6.9861591 -1.5134099 2
+#> 4 1 -13.90 -2.55 -0.8921643 1.7033495 -14.7921643 -0.8466505 2
+#> 5 1 -14.40 -5.80 1.3302444 -1.3219559 -13.0697556 -7.1219559 2
+#> 6 1 -3.60 -1.70 0.1916989 -0.4053545 -3.4083011 -2.1053545 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6260 -38575 5850
+#> initial value 998.131940
+#> iter 2 value 821.834037
+#> iter 3 value 811.011828
+#> iter 4 value 808.291189
+#> iter 5 value 771.753259
+#> iter 6 value 763.214772
+#> iter 7 value 761.632365
+#> iter 8 value 761.593493
+#> iter 9 value 761.593391
+#> iter 10 value 761.593378
+#> iter 10 value 761.593377
+#> iter 10 value 761.593372
+#> final value 761.593372
+#> converged
+#> This is Run number 124
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.2104237 0.09877969 -0.7604237 -12.5012203 1
+#> 2 1 -0.95 -2.35 2.0589260 1.08507825 1.1089260 -1.2649218 1
+#> 3 1 -6.20 -2.30 3.1514716 -0.68329469 -3.0485284 -2.9832947 2
+#> 4 1 -13.90 -2.55 1.1270583 -0.62843630 -12.7729417 -3.1784363 2
+#> 5 1 -14.40 -5.80 1.4032159 -0.33711845 -12.9967841 -6.1371184 2
+#> 6 1 -3.60 -1.70 -0.7215012 1.10637593 -4.3215012 -0.5936241 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5880 -39100 7250
+#> initial value 998.131940
+#> iter 2 value 807.024467
+#> iter 3 value 791.045094
+#> iter 4 value 787.929812
+#> iter 5 value 753.234479
+#> iter 6 value 744.677040
+#> iter 7 value 743.436278
+#> iter 8 value 743.412094
+#> iter 9 value 743.412068
+#> iter 9 value 743.412061
+#> iter 9 value 743.412056
+#> final value 743.412056
+#> converged
+#> This is Run number 125
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.28295939 1.4161426 -0.2670406 -11.1838574 1
+#> 2 1 -0.95 -2.35 2.29162878 1.4828809 1.3416288 -0.8671191 1
+#> 3 1 -6.20 -2.30 0.13773400 1.0801234 -6.0622660 -1.2198766 2
+#> 4 1 -13.90 -2.55 -1.10820683 0.2308282 -15.0082068 -2.3191718 2
+#> 5 1 -14.40 -5.80 -0.02794952 -0.2549103 -14.4279495 -6.0549103 2
+#> 6 1 -3.60 -1.70 2.24755125 -1.0006981 -1.3524487 -2.7006981 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5960 -38700 6875
+#> initial value 998.131940
+#> iter 2 value 815.023033
+#> iter 3 value 801.068300
+#> iter 4 value 798.261613
+#> iter 5 value 762.216639
+#> iter 6 value 753.678486
+#> iter 7 value 752.342646
+#> iter 8 value 752.314655
+#> iter 9 value 752.314615
+#> iter 9 value 752.314606
+#> iter 9 value 752.314601
+#> final value 752.314601
+#> converged
+#> This is Run number 126
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 3.1859691 -0.8381323 2.6359691 -13.4381323 1
+#> 2 1 -0.95 -2.35 1.1883152 -0.8078310 0.2383152 -3.1578310 1
+#> 3 1 -6.20 -2.30 0.7620435 3.6183367 -5.4379565 1.3183367 2
+#> 4 1 -13.90 -2.55 1.0069732 1.9725617 -12.8930268 -0.5774383 2
+#> 5 1 -14.40 -5.80 -0.2800473 1.2369484 -14.6800473 -4.5630516 2
+#> 6 1 -3.60 -1.70 4.4138473 3.1231985 0.8138473 1.4231985 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6100 -38775 6575
+#> initial value 998.131940
+#> iter 2 value 815.460942
+#> iter 3 value 802.537169
+#> iter 4 value 799.819079
+#> iter 5 value 763.925311
+#> iter 6 value 755.356496
+#> iter 7 value 753.959953
+#> iter 8 value 753.928901
+#> iter 9 value 753.928847
+#> iter 9 value 753.928837
+#> iter 9 value 753.928832
+#> final value 753.928832
+#> converged
+#> This is Run number 127
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.4704153 1.705396125 -0.07958474 -10.8946039 1
+#> 2 1 -0.95 -2.35 0.2806316 0.007796026 -0.66936843 -2.3422040 1
+#> 3 1 -6.20 -2.30 0.6016990 1.967345465 -5.59830097 -0.3326545 2
+#> 4 1 -13.90 -2.55 0.6087371 0.352152908 -13.29126289 -2.1978471 2
+#> 5 1 -14.40 -5.80 1.9502347 0.965958981 -12.44976534 -4.8340410 2
+#> 6 1 -3.60 -1.70 -0.9923503 -0.619029628 -4.59235026 -2.3190296 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -39575 7700
+#> initial value 998.131940
+#> iter 2 value 796.921234
+#> iter 3 value 781.307460
+#> iter 4 value 779.870670
+#> iter 5 value 746.228503
+#> iter 6 value 737.641984
+#> iter 7 value 736.469027
+#> iter 8 value 736.447753
+#> iter 8 value 736.447749
+#> final value 736.447749
+#> converged
+#> This is Run number 128
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.6155602 0.30384009 1.0655602 -12.2961599 1
+#> 2 1 -0.95 -2.35 0.7574315 -0.61876202 -0.1925685 -2.9687620 1
+#> 3 1 -6.20 -2.30 1.9302551 2.70334303 -4.2697449 0.4033430 2
+#> 4 1 -13.90 -2.55 0.5040528 0.10378346 -13.3959472 -2.4462165 2
+#> 5 1 -14.40 -5.80 0.6823083 0.04999199 -13.7176917 -5.7500080 2
+#> 6 1 -3.60 -1.70 0.2407718 1.10703430 -3.3592282 -0.5929657 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -37950 5925
+#> initial value 998.131940
+#> iter 2 value 830.175463
+#> iter 3 value 821.900026
+#> iter 4 value 820.671042
+#> iter 5 value 781.912269
+#> iter 6 value 773.571604
+#> iter 7 value 771.931159
+#> iter 8 value 771.892446
+#> iter 9 value 771.892347
+#> iter 10 value 771.892335
+#> iter 10 value 771.892331
+#> iter 10 value 771.892327
+#> final value 771.892327
+#> converged
+#> This is Run number 129
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.013257058 0.6146410 -0.5367429 -11.9853590 1
+#> 2 1 -0.95 -2.35 -0.007590402 -0.2269947 -0.9575904 -2.5769947 1
+#> 3 1 -6.20 -2.30 -0.129764150 -0.4604442 -6.3297641 -2.7604442 2
+#> 4 1 -13.90 -2.55 -0.826629694 0.6566235 -14.7266297 -1.8933765 2
+#> 5 1 -14.40 -5.80 0.925438344 -0.3550511 -13.4745617 -6.1550511 2
+#> 6 1 -3.60 -1.70 0.523862051 1.2371312 -3.0761379 -0.4628688 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -38925 6375
+#> initial value 998.131940
+#> iter 2 value 813.935764
+#> iter 3 value 803.434884
+#> iter 4 value 801.941989
+#> iter 5 value 766.082142
+#> iter 6 value 757.489358
+#> iter 7 value 755.997046
+#> iter 8 value 755.961420
+#> iter 9 value 755.961344
+#> iter 10 value 755.961332
+#> iter 10 value 755.961325
+#> iter 10 value 755.961325
+#> final value 755.961325
+#> converged
+#> This is Run number 130
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.28706691 0.08503725 -0.8370669 -12.5149627 1
+#> 2 1 -0.95 -2.35 0.72972559 1.68337268 -0.2202744 -0.6666273 1
+#> 3 1 -6.20 -2.30 1.29963033 -0.42474723 -4.9003697 -2.7247472 2
+#> 4 1 -13.90 -2.55 1.16782494 4.82519673 -12.7321751 2.2751967 2
+#> 5 1 -14.40 -5.80 -0.03524421 -0.37960836 -14.4352442 -6.1796084 2
+#> 6 1 -3.60 -1.70 -0.63969585 -0.34121831 -4.2396959 -2.0412183 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6280 -38225 6475
+#> initial value 998.131940
+#> iter 2 value 823.840237
+#> iter 3 value 813.092715
+#> iter 4 value 811.346496
+#> iter 5 value 773.561946
+#> iter 6 value 765.116619
+#> iter 7 value 763.642130
+#> iter 8 value 763.609118
+#> iter 9 value 763.609052
+#> iter 9 value 763.609052
+#> iter 9 value 763.609052
+#> final value 763.609052
+#> converged
+#> This is Run number 131
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.3165315 1.524189532 -0.8665315 -11.075810 1
+#> 2 1 -0.95 -2.35 1.3164826 0.652308434 0.3664826 -1.697692 1
+#> 3 1 -6.20 -2.30 -1.4117486 -0.016456106 -7.6117486 -2.316456 2
+#> 4 1 -13.90 -2.55 -0.2352694 -0.080260767 -14.1352694 -2.630261 2
+#> 5 1 -14.40 -5.80 0.6037892 0.500541109 -13.7962108 -5.299459 2
+#> 6 1 -3.60 -1.70 0.4378517 -0.009254014 -3.1621483 -1.709254 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5580 -39075 8575
+#> initial value 998.131940
+#> iter 2 value 799.060048
+#> iter 3 value 778.598971
+#> iter 4 value 775.824969
+#> iter 5 value 741.258481
+#> iter 6 value 732.942168
+#> iter 7 value 731.848667
+#> iter 8 value 731.833511
+#> iter 9 value 731.833497
+#> iter 9 value 731.833494
+#> iter 9 value 731.833494
+#> final value 731.833494
+#> converged
+#> This is Run number 132
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5196768 0.5890659 -1.0696768 -12.01093412 1
+#> 2 1 -0.95 -2.35 0.8236607 -0.2641049 -0.1263393 -2.61410492 1
+#> 3 1 -6.20 -2.30 4.4109768 -0.1255354 -1.7890232 -2.42553541 1
+#> 4 1 -13.90 -2.55 -0.7794212 0.3924532 -14.6794212 -2.15754678 2
+#> 5 1 -14.40 -5.80 1.3540949 0.4193582 -13.0459051 -5.38064184 2
+#> 6 1 -3.60 -1.70 1.4265360 1.6007162 -2.1734640 -0.09928384 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5720 -36525 7175
+#> initial value 998.131940
+#> iter 2 value 843.439420
+#> iter 3 value 832.706472
+#> iter 4 value 831.328997
+#> iter 5 value 788.744654
+#> iter 6 value 780.755104
+#> iter 7 value 779.414690
+#> iter 8 value 779.390285
+#> iter 9 value 779.390248
+#> iter 10 value 779.390236
+#> iter 10 value 779.390225
+#> iter 10 value 779.390220
+#> final value 779.390220
+#> converged
+#> This is Run number 133
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.6985852 -0.3486969 -1.2485852 -12.9486969 1
+#> 2 1 -0.95 -2.35 0.3226493 -0.5028395 -0.6273507 -2.8528395 1
+#> 3 1 -6.20 -2.30 3.4734443 0.4955129 -2.7265557 -1.8044871 2
+#> 4 1 -13.90 -2.55 0.2666107 0.7923951 -13.6333893 -1.7576049 2
+#> 5 1 -14.40 -5.80 1.4734701 4.4063127 -12.9265299 -1.3936873 2
+#> 6 1 -3.60 -1.70 -0.1324955 1.1545845 -3.7324955 -0.5454155 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5340 -36175 7200
+#> initial value 998.131940
+#> iter 2 value 847.822259
+#> iter 3 value 836.129674
+#> iter 4 value 834.008898
+#> iter 5 value 790.676626
+#> iter 6 value 782.794608
+#> iter 7 value 781.486977
+#> iter 8 value 781.464486
+#> iter 9 value 781.464457
+#> iter 9 value 781.464447
+#> iter 9 value 781.464442
+#> final value 781.464442
+#> converged
+#> This is Run number 134
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.87286352 -0.6392067 0.3228635 -13.239207 1
+#> 2 1 -0.95 -2.35 1.75347823 -0.2807660 0.8034782 -2.630766 1
+#> 3 1 -6.20 -2.30 0.52224873 1.0334426 -5.6777513 -1.266557 2
+#> 4 1 -13.90 -2.55 -0.78541897 -1.0078416 -14.6854190 -3.557842 2
+#> 5 1 -14.40 -5.80 -0.54515703 1.2838356 -14.9451570 -4.516164 2
+#> 6 1 -3.60 -1.70 0.02167894 -1.7751504 -3.5783211 -3.475150 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5840 -36525 7650
+#> initial value 998.131940
+#> iter 2 value 840.601584
+#> iter 3 value 829.543291
+#> iter 4 value 828.768332
+#> iter 5 value 785.997373
+#> iter 6 value 777.977331
+#> iter 7 value 776.688733
+#> iter 8 value 776.666672
+#> iter 9 value 776.666641
+#> iter 9 value 776.666629
+#> iter 9 value 776.666624
+#> final value 776.666624
+#> converged
+#> This is Run number 135
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.8856850 -0.41886283 0.335685 -13.0188628 1
+#> 2 1 -0.95 -2.35 -0.7252232 0.51405599 -1.675223 -1.8359440 1
+#> 3 1 -6.20 -2.30 0.3163594 0.41299380 -5.883641 -1.8870062 2
+#> 4 1 -13.90 -2.55 1.9515774 -0.08487522 -11.948423 -2.6348752 2
+#> 5 1 -14.40 -5.80 1.2379621 -0.57006197 -13.162038 -6.3700620 2
+#> 6 1 -3.60 -1.70 0.3179838 2.16273940 -3.282016 0.4627394 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5980 -37075 6825
+#> initial value 998.131940
+#> iter 2 value 838.047265
+#> iter 3 value 827.742923
+#> iter 4 value 826.366996
+#> iter 5 value 785.280305
+#> iter 6 value 777.135385
+#> iter 7 value 775.723808
+#> iter 8 value 775.695699
+#> iter 9 value 775.695649
+#> iter 9 value 775.695649
+#> iter 9 value 775.695649
+#> final value 775.695649
+#> converged
+#> This is Run number 136
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.23167818 2.42646006 1.681678 -10.1735399 1
+#> 2 1 -0.95 -2.35 2.01476686 0.47271232 1.064767 -1.8772877 1
+#> 3 1 -6.20 -2.30 -0.20470875 0.05081534 -6.404709 -2.2491847 2
+#> 4 1 -13.90 -2.55 2.29210249 -0.08752552 -11.607898 -2.6375255 2
+#> 5 1 -14.40 -5.80 0.64678624 -0.08449036 -13.753214 -5.8844904 2
+#> 6 1 -3.60 -1.70 -0.09931459 1.05061407 -3.699315 -0.6493859 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5900 -38825 8150
+#> initial value 998.131940
+#> iter 2 value 805.572942
+#> iter 3 value 788.489731
+#> iter 4 value 786.670826
+#> iter 5 value 750.959618
+#> iter 6 value 742.528961
+#> iter 7 value 741.373855
+#> iter 8 value 741.355702
+#> iter 9 value 741.355687
+#> iter 9 value 741.355684
+#> iter 9 value 741.355675
+#> final value 741.355675
+#> converged
+#> This is Run number 137
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.8511228 -0.02889434 0.30112281 -12.628894 1
+#> 2 1 -0.95 -2.35 0.9178843 -0.43448110 -0.03211565 -2.784481 1
+#> 3 1 -6.20 -2.30 -0.7812737 0.33578475 -6.98127367 -1.964215 2
+#> 4 1 -13.90 -2.55 1.1838083 0.12798655 -12.71619170 -2.422013 2
+#> 5 1 -14.40 -5.80 1.4619885 1.73312689 -12.93801148 -4.066873 2
+#> 6 1 -3.60 -1.70 -0.5712750 2.11494896 -4.17127502 0.414949 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -38925 7200
+#> initial value 998.131940
+#> iter 2 value 809.612017
+#> iter 3 value 796.934252
+#> iter 4 value 795.808298
+#> iter 5 value 759.981885
+#> iter 6 value 751.403569
+#> iter 7 value 750.085991
+#> iter 8 value 750.058522
+#> iter 9 value 750.058480
+#> iter 10 value 750.058468
+#> iter 10 value 750.058458
+#> iter 10 value 750.058452
+#> final value 750.058452
+#> converged
+#> This is Run number 138
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.8205621 0.3040667 0.2705621 -12.2959333 1
+#> 2 1 -0.95 -2.35 0.6763085 2.0613613 -0.2736915 -0.2886387 1
+#> 3 1 -6.20 -2.30 1.1298120 -0.1978730 -5.0701880 -2.4978730 2
+#> 4 1 -13.90 -2.55 -0.9525673 0.1635724 -14.8525673 -2.3864276 2
+#> 5 1 -14.40 -5.80 -0.1402400 0.8233854 -14.5402400 -4.9766146 2
+#> 6 1 -3.60 -1.70 -0.6453974 0.0574075 -4.2453974 -1.6425925 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7020 -39900 7525
+#> initial value 998.131940
+#> iter 2 value 792.314353
+#> iter 3 value 778.832828
+#> iter 4 value 778.545369
+#> iter 5 value 745.526780
+#> iter 6 value 736.825756
+#> iter 7 value 735.615245
+#> iter 8 value 735.591317
+#> iter 9 value 735.591286
+#> iter 9 value 735.591278
+#> iter 9 value 735.591276
+#> final value 735.591276
+#> converged
+#> This is Run number 139
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.58365874 -0.09696646 0.03365874 -12.6969665 1
+#> 2 1 -0.95 -2.35 -0.97517770 0.86955234 -1.92517770 -1.4804477 2
+#> 3 1 -6.20 -2.30 -1.63648937 1.65310178 -7.83648937 -0.6468982 2
+#> 4 1 -13.90 -2.55 -0.02224711 -0.20563262 -13.92224711 -2.7556326 2
+#> 5 1 -14.40 -5.80 4.36404999 1.41800687 -10.03595001 -4.3819931 2
+#> 6 1 -3.60 -1.70 2.28158734 -1.17624436 -1.31841266 -2.8762444 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5880 -38400 8225
+#> initial value 998.131940
+#> iter 2 value 811.283694
+#> iter 3 value 794.969622
+#> iter 4 value 793.501579
+#> iter 5 value 756.400747
+#> iter 6 value 748.013795
+#> iter 7 value 746.843840
+#> iter 8 value 746.825819
+#> iter 9 value 746.825806
+#> iter 9 value 746.825803
+#> iter 9 value 746.825792
+#> final value 746.825792
+#> converged
+#> This is Run number 140
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.1195485 -0.99575207 -0.4304515 -13.595752 1
+#> 2 1 -0.95 -2.35 -1.0843589 -0.52583176 -2.0343589 -2.875832 1
+#> 3 1 -6.20 -2.30 1.9381947 -0.71982923 -4.2618053 -3.019829 2
+#> 4 1 -13.90 -2.55 0.1439180 0.52312576 -13.7560820 -2.026874 2
+#> 5 1 -14.40 -5.80 -0.2379121 -0.05483515 -14.6379121 -5.854835 2
+#> 6 1 -3.60 -1.70 -0.5339392 -0.27023570 -4.1339392 -1.970236 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -35975 6100
+#> initial value 998.131940
+#> iter 2 value 855.726129
+#> iter 3 value 849.449133
+#> iter 4 value 848.985625
+#> iter 5 value 804.812668
+#> iter 6 value 797.105243
+#> iter 7 value 795.568336
+#> iter 8 value 795.538065
+#> iter 9 value 795.537995
+#> iter 9 value 795.537989
+#> iter 9 value 795.537989
+#> final value 795.537989
+#> converged
+#> This is Run number 141
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.5204681 -0.8373088 -0.02953187 -13.437309 1
+#> 2 1 -0.95 -2.35 0.8694662 0.3745249 -0.08053376 -1.975475 1
+#> 3 1 -6.20 -2.30 2.4218607 -0.4524521 -3.77813930 -2.752452 2
+#> 4 1 -13.90 -2.55 0.1557874 1.0736752 -13.74421264 -1.476325 2
+#> 5 1 -14.40 -5.80 -1.2387726 0.7329548 -15.63877263 -5.067045 2
+#> 6 1 -3.60 -1.70 2.2043552 -0.4960609 -1.39564481 -2.196061 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -38050 6325
+#> initial value 998.131940
+#> iter 2 value 827.024049
+#> iter 3 value 817.163741
+#> iter 4 value 815.642434
+#> iter 5 value 777.278519
+#> iter 6 value 768.882294
+#> iter 7 value 767.360503
+#> iter 8 value 767.326015
+#> iter 9 value 767.325941
+#> iter 10 value 767.325929
+#> iter 10 value 767.325922
+#> iter 10 value 767.325917
+#> final value 767.325917
+#> converged
+#> This is Run number 142
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.9356484 1.3688998 0.3856484 -11.2311002 1
+#> 2 1 -0.95 -2.35 2.0059175 2.6400638 1.0559175 0.2900638 1
+#> 3 1 -6.20 -2.30 0.2949954 -0.4800333 -5.9050046 -2.7800333 2
+#> 4 1 -13.90 -2.55 -1.2173447 2.3460072 -15.1173447 -0.2039928 2
+#> 5 1 -14.40 -5.80 -0.4629034 1.3966766 -14.8629034 -4.4033234 2
+#> 6 1 -3.60 -1.70 0.1672113 0.6482633 -3.4327887 -1.0517367 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6340 -38125 6775
+#> initial value 998.131940
+#> iter 2 value 823.649927
+#> iter 3 value 812.860074
+#> iter 4 value 811.623783
+#> iter 5 value 773.423588
+#> iter 6 value 764.999157
+#> iter 7 value 763.567407
+#> iter 8 value 763.536394
+#> iter 9 value 763.536335
+#> iter 10 value 763.536322
+#> iter 10 value 763.536312
+#> iter 10 value 763.536308
+#> final value 763.536308
+#> converged
+#> This is Run number 143
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.01623733 4.4900386 -0.5662373 -8.1099614 1
+#> 2 1 -0.95 -2.35 0.14646683 -0.1479136 -0.8035332 -2.4979136 1
+#> 3 1 -6.20 -2.30 0.55993888 0.2951670 -5.6400611 -2.0048330 2
+#> 4 1 -13.90 -2.55 1.57540644 1.7172438 -12.3245936 -0.8327562 2
+#> 5 1 -14.40 -5.80 0.61582758 4.2606734 -13.7841724 -1.5393266 2
+#> 6 1 -3.60 -1.70 0.06077692 2.0014828 -3.5392231 0.3014828 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6080 -38850 8000
+#> initial value 998.131940
+#> iter 2 value 806.102722
+#> iter 3 value 790.137963
+#> iter 4 value 788.714221
+#> iter 5 value 752.930872
+#> iter 6 value 744.455297
+#> iter 7 value 743.278152
+#> iter 8 value 743.258637
+#> iter 9 value 743.258617
+#> iter 9 value 743.258613
+#> iter 9 value 743.258606
+#> final value 743.258606
+#> converged
+#> This is Run number 144
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.02540204 0.08516046 -0.5754020 -12.5148395 1
+#> 2 1 -0.95 -2.35 0.12932325 -0.08493782 -0.8206767 -2.4349378 1
+#> 3 1 -6.20 -2.30 0.94974298 -0.92341321 -5.2502570 -3.2234132 2
+#> 4 1 -13.90 -2.55 5.45093184 0.97000046 -8.4490682 -1.5799995 2
+#> 5 1 -14.40 -5.80 0.68751333 -0.09983055 -13.7124867 -5.8998306 2
+#> 6 1 -3.60 -1.70 1.06535369 0.74274411 -2.5346463 -0.9572559 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -39550 7625
+#> initial value 998.131940
+#> iter 2 value 797.674010
+#> iter 3 value 782.801550
+#> iter 4 value 781.654072
+#> iter 5 value 747.826941
+#> iter 6 value 739.216033
+#> iter 7 value 738.022354
+#> iter 8 value 738.000025
+#> iter 9 value 738.000002
+#> iter 9 value 737.999994
+#> iter 9 value 737.999991
+#> final value 737.999991
+#> converged
+#> This is Run number 145
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.1425866 1.0008970 -0.4074134 -11.5991030 1
+#> 2 1 -0.95 -2.35 -1.1802779 1.6102184 -2.1302779 -0.7397816 2
+#> 3 1 -6.20 -2.30 0.7753154 -0.2292162 -5.4246846 -2.5292162 2
+#> 4 1 -13.90 -2.55 -1.2358724 0.9545549 -15.1358724 -1.5954451 2
+#> 5 1 -14.40 -5.80 -0.9534038 2.0717363 -15.3534038 -3.7282637 2
+#> 6 1 -3.60 -1.70 1.8562992 -0.3633814 -1.7437008 -2.0633814 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5900 -39275 6850
+#> initial value 998.131940
+#> iter 2 value 806.619959
+#> iter 3 value 790.947770
+#> iter 4 value 787.259675
+#> iter 5 value 753.144637
+#> iter 6 value 744.515946
+#> iter 7 value 743.238137
+#> iter 8 value 743.211328
+#> iter 9 value 743.211293
+#> iter 9 value 743.211286
+#> iter 9 value 743.211281
+#> final value 743.211281
+#> converged
+#> This is Run number 146
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.2867370 -0.9313730 -0.83673697 -13.531373 1
+#> 2 1 -0.95 -2.35 0.8640782 0.5480416 -0.08592184 -1.801958 1
+#> 3 1 -6.20 -2.30 -1.4136972 0.6295673 -7.61369720 -1.670433 2
+#> 4 1 -13.90 -2.55 1.1147061 0.4361971 -12.78529389 -2.113803 2
+#> 5 1 -14.40 -5.80 2.4387189 0.3467111 -11.96128112 -5.453289 2
+#> 6 1 -3.60 -1.70 0.6153004 -0.8356694 -2.98469961 -2.535669 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -38000 6950
+#> initial value 998.131940
+#> iter 2 value 824.432157
+#> iter 3 value 813.690608
+#> iter 4 value 812.771878
+#> iter 5 value 774.140127
+#> iter 6 value 765.740075
+#> iter 7 value 764.328791
+#> iter 8 value 764.298907
+#> iter 9 value 764.298852
+#> iter 10 value 764.298837
+#> iter 10 value 764.298827
+#> iter 10 value 764.298824
+#> final value 764.298824
+#> converged
+#> This is Run number 147
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.24351930 2.14403611 -1.793519 -10.4559639 1
+#> 2 1 -0.95 -2.35 2.90579605 -0.09093662 1.955796 -2.4409366 1
+#> 3 1 -6.20 -2.30 0.69668368 0.41219840 -5.503316 -1.8878016 2
+#> 4 1 -13.90 -2.55 0.05818041 0.10300689 -13.841820 -2.4469931 2
+#> 5 1 -14.40 -5.80 -1.29087069 -0.81303065 -15.690871 -6.6130307 2
+#> 6 1 -3.60 -1.70 1.35727580 1.41340633 -2.242724 -0.2865937 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6320 -39350 7225
+#> initial value 998.131940
+#> iter 2 value 803.207714
+#> iter 3 value 789.025029
+#> iter 4 value 787.183568
+#> iter 5 value 752.857580
+#> iter 6 value 744.242693
+#> iter 7 value 742.980120
+#> iter 8 value 742.954307
+#> iter 9 value 742.954274
+#> iter 9 value 742.954264
+#> iter 9 value 742.954258
+#> final value 742.954258
+#> converged
+#> This is Run number 148
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.19733318 0.51077804 0.6473332 -12.0892220 1
+#> 2 1 -0.95 -2.35 -0.52125916 2.13107625 -1.4712592 -0.2189238 2
+#> 3 1 -6.20 -2.30 -0.18981702 -0.03074734 -6.3898170 -2.3307473 2
+#> 4 1 -13.90 -2.55 1.64015825 3.01803842 -12.2598417 0.4680384 2
+#> 5 1 -14.40 -5.80 0.03052362 -0.57099509 -14.3694764 -6.3709951 2
+#> 6 1 -3.60 -1.70 1.33886210 -0.39531734 -2.2611379 -2.0953173 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5620 -37600 8125
+#> initial value 998.131940
+#> iter 2 value 823.285079
+#> iter 3 value 808.031135
+#> iter 4 value 806.333951
+#> iter 5 value 766.884280
+#> iter 6 value 758.633079
+#> iter 7 value 757.422678
+#> iter 8 value 757.403788
+#> iter 9 value 757.403772
+#> iter 9 value 757.403772
+#> iter 9 value 757.403766
+#> final value 757.403766
+#> converged
+#> This is Run number 149
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.43609393 0.7013268 -0.1139061 -11.8986732 1
+#> 2 1 -0.95 -2.35 -1.11922853 3.1194979 -2.0692285 0.7694979 2
+#> 3 1 -6.20 -2.30 0.06393889 1.0611855 -6.1360611 -1.2388145 2
+#> 4 1 -13.90 -2.55 0.79532654 3.7323890 -13.1046735 1.1823890 2
+#> 5 1 -14.40 -5.80 -1.15528773 0.2589116 -15.5552877 -5.5410884 2
+#> 6 1 -3.60 -1.70 2.16473543 1.4874184 -1.4352646 -0.2125816 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5320 -35950 6950
+#> initial value 998.131940
+#> iter 2 value 852.058458
+#> iter 3 value 841.022494
+#> iter 4 value 838.842118
+#> iter 5 value 794.959638
+#> iter 6 value 787.156416
+#> iter 7 value 785.830916
+#> iter 8 value 785.807907
+#> iter 9 value 785.807875
+#> iter 9 value 785.807866
+#> iter 9 value 785.807862
+#> final value 785.807862
+#> converged
+#> This is Run number 150
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.1925067 2.04015897 -0.7425067 -10.5598410 1
+#> 2 1 -0.95 -2.35 0.1776420 0.05961709 -0.7723580 -2.2903829 1
+#> 3 1 -6.20 -2.30 1.7347755 -0.47444233 -4.4652245 -2.7744423 2
+#> 4 1 -13.90 -2.55 -0.3297786 1.79303070 -14.2297786 -0.7569693 2
+#> 5 1 -14.40 -5.80 0.7295488 0.46424627 -13.6704512 -5.3357537 2
+#> 6 1 -3.60 -1.70 -0.3886173 0.29899326 -3.9886173 -1.4010067 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6440 -38450 6275
+#> initial value 998.131940
+#> iter 2 value 821.505696
+#> iter 3 value 811.331868
+#> iter 4 value 809.670627
+#> iter 5 value 772.483885
+#> iter 6 value 763.991729
+#> iter 7 value 762.467864
+#> iter 8 value 762.432221
+#> iter 9 value 762.432143
+#> iter 10 value 762.432131
+#> iter 10 value 762.432125
+#> iter 10 value 762.432123
+#> final value 762.432123
+#> converged
+#> This is Run number 151
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5600606 1.33529786 -1.1100606 -11.264702 1
+#> 2 1 -0.95 -2.35 2.4614802 0.16456444 1.5114802 -2.185436 1
+#> 3 1 -6.20 -2.30 -0.6452466 -1.11798262 -6.8452466 -3.417983 2
+#> 4 1 -13.90 -2.55 -0.2636248 -0.79869186 -14.1636248 -3.348692 2
+#> 5 1 -14.40 -5.80 -0.2024300 2.80931145 -14.6024300 -2.990689 2
+#> 6 1 -3.60 -1.70 2.7816691 -0.07894998 -0.8183309 -1.778950 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6260 -38025 6725
+#> initial value 998.131940
+#> iter 2 value 825.384958
+#> iter 3 value 814.547207
+#> iter 4 value 813.129980
+#> iter 5 value 774.696324
+#> iter 6 value 766.297102
+#> iter 7 value 764.861318
+#> iter 8 value 764.830368
+#> iter 9 value 764.830311
+#> iter 9 value 764.830311
+#> iter 9 value 764.830311
+#> final value 764.830311
+#> converged
+#> This is Run number 152
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.6250066 0.2262293 -1.175007 -12.3737707 1
+#> 2 1 -0.95 -2.35 3.3231726 -0.6459198 2.373173 -2.9959198 1
+#> 3 1 -6.20 -2.30 -0.5017023 1.5260813 -6.701702 -0.7739187 2
+#> 4 1 -13.90 -2.55 0.5679645 0.1826057 -13.332035 -2.3673943 2
+#> 5 1 -14.40 -5.80 0.9951574 -0.4104710 -13.404843 -6.2104710 2
+#> 6 1 -3.60 -1.70 1.8083609 -1.3865536 -1.791639 -3.0865536 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4860 -35025 6700
+#> initial value 998.131940
+#> iter 2 value 864.561788
+#> iter 3 value 853.366007
+#> iter 4 value 850.618570
+#> iter 5 value 804.486120
+#> iter 6 value 796.982491
+#> iter 7 value 795.705861
+#> iter 8 value 795.685667
+#> iter 9 value 795.685642
+#> iter 9 value 795.685636
+#> iter 9 value 795.685633
+#> final value 795.685633
+#> converged
+#> This is Run number 153
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.2870767 -0.02050144 -0.8370767 -12.620501 1
+#> 2 1 -0.95 -2.35 0.1221351 1.23251082 -0.8278649 -1.117489 1
+#> 3 1 -6.20 -2.30 1.0288343 0.70349491 -5.1711657 -1.596505 2
+#> 4 1 -13.90 -2.55 -0.7415543 0.29205276 -14.6415543 -2.257947 2
+#> 5 1 -14.40 -5.80 -0.5924580 -0.16841918 -14.9924580 -5.968419 2
+#> 6 1 -3.60 -1.70 -1.3418374 -0.60850812 -4.9418374 -2.308508 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5380 -36925 7325
+#> initial value 998.131940
+#> iter 2 value 837.353294
+#> iter 3 value 823.886922
+#> iter 4 value 821.325484
+#> iter 5 value 780.150321
+#> iter 6 value 772.039706
+#> iter 7 value 770.738327
+#> iter 8 value 770.715401
+#> iter 9 value 770.715374
+#> iter 9 value 770.715364
+#> iter 9 value 770.715359
+#> final value 770.715359
+#> converged
+#> This is Run number 154
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.53920613 0.4633758 0.9892061 -12.1366242 1
+#> 2 1 -0.95 -2.35 1.71380230 -0.4433767 0.7638023 -2.7933767 1
+#> 3 1 -6.20 -2.30 0.03696869 1.8820436 -6.1630313 -0.4179564 2
+#> 4 1 -13.90 -2.55 0.19547196 6.2942176 -13.7045280 3.7442176 2
+#> 5 1 -14.40 -5.80 -0.88588605 -0.7344021 -15.2858860 -6.5344021 2
+#> 6 1 -3.60 -1.70 0.65747306 -0.3554803 -2.9425269 -2.0554803 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6880 -37700 5775
+#> initial value 998.131940
+#> iter 2 value 834.023460
+#> iter 3 value 827.284290
+#> iter 4 value 826.728475
+#> iter 5 value 787.034662
+#> iter 6 value 778.799035
+#> iter 7 value 777.075526
+#> iter 8 value 777.034725
+#> iter 9 value 777.034609
+#> iter 10 value 777.034597
+#> iter 10 value 777.034592
+#> iter 10 value 777.034587
+#> final value 777.034587
+#> converged
+#> This is Run number 155
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.9846353 2.0813401 -1.5346353 -10.518660 1
+#> 2 1 -0.95 -2.35 0.3228183 -1.2500166 -0.6271817 -3.600017 1
+#> 3 1 -6.20 -2.30 1.3564790 -0.5968467 -4.8435210 -2.896847 2
+#> 4 1 -13.90 -2.55 0.3135420 -0.1155842 -13.5864580 -2.665584 2
+#> 5 1 -14.40 -5.80 1.5523309 0.1802541 -12.8476691 -5.619746 2
+#> 6 1 -3.60 -1.70 1.4359782 -1.2105459 -2.1640218 -2.910546 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6760 -39075 7000
+#> initial value 998.131940
+#> iter 2 value 808.235077
+#> iter 3 value 796.796033
+#> iter 4 value 796.120122
+#> iter 5 value 760.557113
+#> iter 6 value 751.932193
+#> iter 7 value 750.559096
+#> iter 8 value 750.528560
+#> iter 9 value 750.528505
+#> iter 10 value 750.528490
+#> iter 10 value 750.528480
+#> iter 10 value 750.528473
+#> final value 750.528473
+#> converged
+#> This is Run number 156
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.3284442 -0.8323573 0.7784442 -13.432357 1
+#> 2 1 -0.95 -2.35 -0.2553660 -0.1226016 -1.2053660 -2.472602 1
+#> 3 1 -6.20 -2.30 0.9513305 2.0407260 -5.2486695 -0.259274 2
+#> 4 1 -13.90 -2.55 1.8509883 1.2119672 -12.0490117 -1.338033 2
+#> 5 1 -14.40 -5.80 0.2170416 0.6717132 -14.1829584 -5.128287 2
+#> 6 1 -3.60 -1.70 -0.5796611 0.1742366 -4.1796611 -1.525763 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6520 -38875 7475
+#> initial value 998.131940
+#> iter 2 value 808.688095
+#> iter 3 value 795.657059
+#> iter 4 value 794.915069
+#> iter 5 value 758.892339
+#> iter 6 value 750.324033
+#> iter 7 value 749.044868
+#> iter 8 value 749.019613
+#> iter 9 value 749.019578
+#> iter 10 value 749.019566
+#> iter 10 value 749.019557
+#> iter 10 value 749.019549
+#> final value 749.019549
+#> converged
+#> This is Run number 157
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.1196599 0.3701395 -0.4303401 -12.22986050 1
+#> 2 1 -0.95 -2.35 1.8375022 2.0634689 0.8875022 -0.28653107 1
+#> 3 1 -6.20 -2.30 -0.2368146 0.5991558 -6.4368146 -1.70084418 2
+#> 4 1 -13.90 -2.55 -0.7280566 1.1624193 -14.6280566 -1.38758066 2
+#> 5 1 -14.40 -5.80 1.6802103 -0.1810604 -12.7197897 -5.98106041 2
+#> 6 1 -3.60 -1.70 -0.1156988 1.7546507 -3.7156988 0.05465075 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7160 -40075 5850
+#> initial value 998.131940
+#> iter 2 value 798.311202
+#> iter 3 value 789.045381
+#> iter 4 value 787.698957
+#> iter 5 value 755.128609
+#> iter 6 value 746.366016
+#> iter 7 value 744.780987
+#> iter 8 value 744.737392
+#> iter 9 value 744.737272
+#> iter 10 value 744.737259
+#> iter 10 value 744.737259
+#> iter 10 value 744.737252
+#> final value 744.737252
+#> converged
+#> This is Run number 158
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.01687771 -0.1186750 -0.5668777 -12.718675 1
+#> 2 1 -0.95 -2.35 -0.31483839 1.2810316 -1.2648384 -1.068968 2
+#> 3 1 -6.20 -2.30 1.48161290 0.6009233 -4.7183871 -1.699077 2
+#> 4 1 -13.90 -2.55 -0.34127499 0.5603407 -14.2412750 -1.989659 2
+#> 5 1 -14.40 -5.80 -0.85863450 -1.4289316 -15.2586345 -7.228932 2
+#> 6 1 -3.60 -1.70 -0.69124424 0.3564565 -4.2912442 -1.343544 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5580 -37725 6075
+#> initial value 998.131940
+#> iter 2 value 833.062560
+#> iter 3 value 819.839446
+#> iter 4 value 816.162791
+#> iter 5 value 777.306314
+#> iter 6 value 768.889047
+#> iter 7 value 767.425852
+#> iter 8 value 767.394077
+#> iter 9 value 767.394008
+#> iter 9 value 767.393996
+#> iter 9 value 767.393991
+#> final value 767.393991
+#> converged
+#> This is Run number 159
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.6252827 1.56392814 1.0752827 -11.036072 1
+#> 2 1 -0.95 -2.35 1.6101609 -0.70950821 0.6601609 -3.059508 1
+#> 3 1 -6.20 -2.30 0.3404632 1.94502896 -5.8595368 -0.354971 2
+#> 4 1 -13.90 -2.55 1.7445505 -0.45246603 -12.1554495 -3.002466 2
+#> 5 1 -14.40 -5.80 2.3145823 3.10005494 -12.0854177 -2.699945 2
+#> 6 1 -3.60 -1.70 -0.3846931 -0.07749941 -3.9846931 -1.777499 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -38825 7325
+#> initial value 998.131940
+#> iter 2 value 810.565721
+#> iter 3 value 796.559650
+#> iter 4 value 794.769234
+#> iter 5 value 758.876864
+#> iter 6 value 750.342003
+#> iter 7 value 749.063438
+#> iter 8 value 749.038146
+#> iter 9 value 749.038114
+#> iter 9 value 749.038104
+#> iter 9 value 749.038098
+#> final value 749.038098
+#> converged
+#> This is Run number 160
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.1534838 0.1509388 -0.7034838 -12.449061 1
+#> 2 1 -0.95 -2.35 -0.7931639 -1.1335804 -1.7431639 -3.483580 1
+#> 3 1 -6.20 -2.30 0.1991533 -0.9363168 -6.0008467 -3.236317 2
+#> 4 1 -13.90 -2.55 0.1736630 0.5310906 -13.7263370 -2.018909 2
+#> 5 1 -14.40 -5.80 0.9010981 0.2076687 -13.4989019 -5.592331 2
+#> 6 1 -3.60 -1.70 0.4056225 -0.4256635 -3.1943775 -2.125664 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6720 -40200 6725
+#> initial value 998.131940
+#> iter 2 value 792.504082
+#> iter 3 value 779.511942
+#> iter 4 value 777.665254
+#> iter 5 value 745.791488
+#> iter 6 value 737.045892
+#> iter 7 value 735.750623
+#> iter 8 value 735.720557
+#> iter 9 value 735.720510
+#> iter 9 value 735.720509
+#> iter 9 value 735.720509
+#> final value 735.720509
+#> converged
+#> This is Run number 161
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 3.8941682 -0.09420352 3.3441682 -12.6942035 1
+#> 2 1 -0.95 -2.35 0.4358084 -0.64355644 -0.5141916 -2.9935564 1
+#> 3 1 -6.20 -2.30 0.8005120 1.02216237 -5.3994880 -1.2778376 2
+#> 4 1 -13.90 -2.55 1.1187836 1.30594143 -12.7812164 -1.2440586 2
+#> 5 1 -14.40 -5.80 1.9581834 -0.51155744 -12.4418166 -6.3115574 2
+#> 6 1 -3.60 -1.70 -0.1522272 0.90016952 -3.7522272 -0.7998305 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6180 -39575 6800
+#> initial value 998.131940
+#> iter 2 value 802.223079
+#> iter 3 value 787.609132
+#> iter 4 value 784.579141
+#> iter 5 value 751.191393
+#> iter 6 value 742.524072
+#> iter 7 value 741.233800
+#> iter 8 value 741.205637
+#> iter 9 value 741.205597
+#> iter 9 value 741.205590
+#> iter 9 value 741.205585
+#> final value 741.205585
+#> converged
+#> This is Run number 162
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.4024772 2.2065009 -0.1475228 -10.393499 1
+#> 2 1 -0.95 -2.35 1.9501775 -0.6720595 1.0001775 -3.022059 1
+#> 3 1 -6.20 -2.30 2.4944470 1.1268340 -3.7055530 -1.173166 2
+#> 4 1 -13.90 -2.55 1.0818204 -0.3008397 -12.8181796 -2.850840 2
+#> 5 1 -14.40 -5.80 0.3670193 0.7052709 -14.0329807 -5.094729 2
+#> 6 1 -3.60 -1.70 0.7669320 0.5907449 -2.8330680 -1.109255 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -38400 6425
+#> initial value 998.131940
+#> iter 2 value 821.459643
+#> iter 3 value 811.235144
+#> iter 4 value 809.808167
+#> iter 5 value 772.414800
+#> iter 6 value 763.932312
+#> iter 7 value 762.433650
+#> iter 8 value 762.399186
+#> iter 9 value 762.399114
+#> iter 9 value 762.399113
+#> iter 9 value 762.399113
+#> final value 762.399113
+#> converged
+#> This is Run number 163
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.8459106 0.2562057 -1.3959106 -12.34379426 1
+#> 2 1 -0.95 -2.35 1.8055598 -0.2288344 0.8555598 -2.57883441 1
+#> 3 1 -6.20 -2.30 1.8646730 2.2020751 -4.3353270 -0.09792495 2
+#> 4 1 -13.90 -2.55 0.8799374 -0.5573151 -13.0200626 -3.10731515 2
+#> 5 1 -14.40 -5.80 4.7217307 0.2221229 -9.6782693 -5.57787711 2
+#> 6 1 -3.60 -1.70 0.4361255 -0.8619898 -3.1638745 -2.56198977 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -39225 7050
+#> initial value 998.131940
+#> iter 2 value 805.972527
+#> iter 3 value 793.127502
+#> iter 4 value 791.702106
+#> iter 5 value 756.829082
+#> iter 6 value 748.203899
+#> iter 7 value 746.884422
+#> iter 8 value 746.856053
+#> iter 9 value 746.856009
+#> iter 10 value 746.855998
+#> iter 10 value 746.855989
+#> iter 10 value 746.855983
+#> final value 746.855983
+#> converged
+#> This is Run number 164
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.35174017 -0.2326349 0.8017402 -12.8326349 1
+#> 2 1 -0.95 -2.35 0.04486872 0.4759409 -0.9051313 -1.8740591 1
+#> 3 1 -6.20 -2.30 0.76992536 0.3174228 -5.4300746 -1.9825772 2
+#> 4 1 -13.90 -2.55 -0.60627405 1.6330446 -14.5062740 -0.9169554 2
+#> 5 1 -14.40 -5.80 -1.34156099 -0.7300498 -15.7415610 -6.5300498 2
+#> 6 1 -3.60 -1.70 4.19109845 -0.5847035 0.5910984 -2.2847035 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7340 -40925 6625
+#> initial value 998.131940
+#> iter 2 value 780.605962
+#> iter 3 value 769.056220
+#> iter 4 value 768.294039
+#> iter 5 value 738.250872
+#> iter 6 value 729.435459
+#> iter 7 value 728.148023
+#> iter 8 value 728.116321
+#> iter 9 value 728.116266
+#> iter 10 value 728.116255
+#> iter 10 value 728.116248
+#> iter 10 value 728.116241
+#> final value 728.116241
+#> converged
+#> This is Run number 165
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.4828286 -0.77702401 0.9328286 -13.377024 1
+#> 2 1 -0.95 -2.35 -0.1076765 0.28578178 -1.0576765 -2.064218 1
+#> 3 1 -6.20 -2.30 1.5515890 -1.37701768 -4.6484110 -3.677018 2
+#> 4 1 -13.90 -2.55 0.7053390 0.04244316 -13.1946610 -2.507557 2
+#> 5 1 -14.40 -5.80 -0.3282014 4.34726022 -14.7282014 -1.452740 2
+#> 6 1 -3.60 -1.70 1.5438018 -0.65594209 -2.0561982 -2.355942 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -39450 7250
+#> initial value 998.131940
+#> iter 2 value 801.327289
+#> iter 3 value 788.069927
+#> iter 4 value 786.986615
+#> iter 5 value 752.732022
+#> iter 6 value 744.083323
+#> iter 7 value 742.808823
+#> iter 8 value 742.782266
+#> iter 9 value 742.782229
+#> iter 10 value 742.782218
+#> iter 10 value 742.782208
+#> iter 10 value 742.782202
+#> final value 742.782202
+#> converged
+#> This is Run number 166
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 3.2470518 -1.5662488 2.6970518 -14.166249 1
+#> 2 1 -0.95 -2.35 1.5102476 0.5018118 0.5602476 -1.848188 1
+#> 3 1 -6.20 -2.30 0.7285373 -0.9111377 -5.4714627 -3.211138 2
+#> 4 1 -13.90 -2.55 1.0032664 0.5799024 -12.8967336 -1.970098 2
+#> 5 1 -14.40 -5.80 -1.0072278 2.3951188 -15.4072278 -3.404881 2
+#> 6 1 -3.60 -1.70 -0.5007747 -0.1459498 -4.1007747 -1.845950 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6020 -37850 6450
+#> initial value 998.131940
+#> iter 2 value 829.396853
+#> iter 3 value 818.195621
+#> iter 4 value 815.979070
+#> iter 5 value 777.273101
+#> iter 6 value 768.912330
+#> iter 7 value 767.450212
+#> iter 8 value 767.418620
+#> iter 9 value 767.418560
+#> iter 9 value 767.418550
+#> iter 9 value 767.418544
+#> final value 767.418544
+#> converged
+#> This is Run number 167
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 6.210010956 0.9690609 5.6600110 -11.6309391 1
+#> 2 1 -0.95 -2.35 0.128578778 1.5716314 -0.8214212 -0.7783686 2
+#> 3 1 -6.20 -2.30 4.427367559 -0.7495352 -1.7726324 -3.0495352 1
+#> 4 1 -13.90 -2.55 -0.432867145 0.8710364 -14.3328671 -1.6789636 2
+#> 5 1 -14.40 -5.80 0.002340605 0.9181577 -14.3976594 -4.8818423 2
+#> 6 1 -3.60 -1.70 -0.442111183 -0.2147327 -4.0421112 -1.9147327 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6260 -38350 7200
+#> initial value 998.131940
+#> iter 2 value 818.137327
+#> iter 3 value 805.799048
+#> iter 4 value 804.553795
+#> iter 5 value 767.069334
+#> iter 6 value 758.599634
+#> iter 7 value 757.260562
+#> iter 8 value 757.233309
+#> iter 9 value 757.233267
+#> iter 10 value 757.233254
+#> iter 10 value 757.233244
+#> iter 10 value 757.233238
+#> final value 757.233238
+#> converged
+#> This is Run number 168
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.16828034 -0.19179388 -0.7182803 -12.791794 1
+#> 2 1 -0.95 -2.35 -0.01768426 -0.95595519 -0.9676843 -3.305955 1
+#> 3 1 -6.20 -2.30 1.07361811 0.12428209 -5.1263819 -2.175718 2
+#> 4 1 -13.90 -2.55 -1.48609969 0.04991446 -15.3860997 -2.500086 2
+#> 5 1 -14.40 -5.80 0.56137385 3.00713266 -13.8386262 -2.792867 2
+#> 6 1 -3.60 -1.70 0.51907780 -0.28979636 -3.0809222 -1.989796 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5800 -36425 6625
+#> initial value 998.131940
+#> iter 2 value 847.707465
+#> iter 3 value 838.185997
+#> iter 4 value 836.660612
+#> iter 5 value 793.887708
+#> iter 6 value 785.953742
+#> iter 7 value 784.537768
+#> iter 8 value 784.510629
+#> iter 9 value 784.510581
+#> iter 9 value 784.510578
+#> iter 9 value 784.510578
+#> final value 784.510578
+#> converged
+#> This is Run number 169
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 4.4480199 -0.75530324 3.8980199 -13.3553032 1
+#> 2 1 -0.95 -2.35 0.8271159 1.36319291 -0.1228841 -0.9868071 1
+#> 3 1 -6.20 -2.30 2.9929490 5.74847339 -3.2070510 3.4484734 2
+#> 4 1 -13.90 -2.55 -1.2897084 2.81034097 -15.1897084 0.2603410 2
+#> 5 1 -14.40 -5.80 0.6008244 0.72731480 -13.7991756 -5.0726852 2
+#> 6 1 -3.60 -1.70 0.5481241 -0.06931992 -3.0518759 -1.7693199 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7360 -39400 6650
+#> initial value 998.131940
+#> iter 2 value 804.455522
+#> iter 3 value 794.918487
+#> iter 4 value 794.819545
+#> iter 5 value 759.968614
+#> iter 6 value 751.295296
+#> iter 7 value 749.801974
+#> iter 8 value 749.764962
+#> iter 9 value 749.764873
+#> iter 10 value 749.764854
+#> iter 10 value 749.764846
+#> iter 10 value 749.764837
+#> final value 749.764837
+#> converged
+#> This is Run number 170
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.18507888 0.16385218 -0.3649211 -12.436148 1
+#> 2 1 -0.95 -2.35 0.39011929 0.91902517 -0.5598807 -1.430975 1
+#> 3 1 -6.20 -2.30 0.21859640 -0.55904567 -5.9814036 -2.859046 2
+#> 4 1 -13.90 -2.55 -1.12228819 -0.38246311 -15.0222882 -2.932463 2
+#> 5 1 -14.40 -5.80 0.07611045 1.03420648 -14.3238895 -4.765794 2
+#> 6 1 -3.60 -1.70 0.29273584 0.03752286 -3.3072642 -1.662477 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -38725 6925
+#> initial value 998.131940
+#> iter 2 value 814.132713
+#> iter 3 value 802.258990
+#> iter 4 value 800.931184
+#> iter 5 value 764.520624
+#> iter 6 value 755.970302
+#> iter 7 value 754.592956
+#> iter 8 value 754.563019
+#> iter 9 value 754.562967
+#> iter 10 value 754.562955
+#> iter 10 value 754.562945
+#> iter 10 value 754.562945
+#> final value 754.562945
+#> converged
+#> This is Run number 171
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.38130658 1.0115170 -0.1686934 -11.588483 1
+#> 2 1 -0.95 -2.35 0.01982722 1.2410011 -0.9301728 -1.108999 1
+#> 3 1 -6.20 -2.30 0.77813010 -0.7520586 -5.4218699 -3.052059 2
+#> 4 1 -13.90 -2.55 0.49137246 -0.7456776 -13.4086275 -3.295678 2
+#> 5 1 -14.40 -5.80 1.00506794 -0.6362403 -13.3949321 -6.436240 2
+#> 6 1 -3.60 -1.70 -0.91253799 0.1935483 -4.5125380 -1.506452 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6860 -40575 6875
+#> initial value 998.131940
+#> iter 2 value 785.566447
+#> iter 3 value 772.155593
+#> iter 4 value 770.588870
+#> iter 5 value 739.805612
+#> iter 6 value 731.052874
+#> iter 7 value 729.821595
+#> iter 8 value 729.793782
+#> iter 9 value 729.793744
+#> iter 9 value 729.793735
+#> iter 9 value 729.793729
+#> final value 729.793729
+#> converged
+#> This is Run number 172
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.4409470 -0.7932469 -0.99094698 -13.393247 1
+#> 2 1 -0.95 -2.35 0.9145395 -0.3289082 -0.03546045 -2.678908 1
+#> 3 1 -6.20 -2.30 1.1574568 -0.7803319 -5.04254318 -3.080332 2
+#> 4 1 -13.90 -2.55 -0.6775352 -0.5768270 -14.57753519 -3.126827 2
+#> 5 1 -14.40 -5.80 0.7977654 -0.2551995 -13.60223459 -6.055199 2
+#> 6 1 -3.60 -1.70 -1.0778157 0.3826733 -4.67781574 -1.317327 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5900 -39625 6850
+#> initial value 998.131940
+#> iter 2 value 801.282254
+#> iter 3 value 784.716401
+#> iter 4 value 780.606245
+#> iter 5 value 747.641999
+#> iter 6 value 738.977177
+#> iter 7 value 737.740404
+#> iter 8 value 737.714532
+#> iter 9 value 737.714500
+#> iter 9 value 737.714494
+#> iter 9 value 737.714490
+#> final value 737.714490
+#> converged
+#> This is Run number 173
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.421346074 0.4893955 0.8713461 -12.1106045 1
+#> 2 1 -0.95 -2.35 2.216092730 3.1490119 1.2660927 0.7990119 1
+#> 3 1 -6.20 -2.30 1.900551535 1.4918179 -4.2994485 -0.8081821 2
+#> 4 1 -13.90 -2.55 1.063080893 1.1520007 -12.8369191 -1.3979993 2
+#> 5 1 -14.40 -5.80 -0.003249443 1.4609062 -14.4032494 -4.3390938 2
+#> 6 1 -3.60 -1.70 1.932355926 0.7714596 -1.6676441 -0.9285404 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6020 -37375 6250
+#> initial value 998.131940
+#> iter 2 value 836.943545
+#> iter 3 value 826.925249
+#> iter 4 value 824.938504
+#> iter 5 value 784.846526
+#> iter 6 value 776.624489
+#> iter 7 value 775.116530
+#> iter 8 value 775.084256
+#> iter 9 value 775.084190
+#> iter 9 value 775.084180
+#> iter 9 value 775.084175
+#> final value 775.084175
+#> converged
+#> This is Run number 174
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.31013417 -0.2115279 -0.8601342 -12.8115279 1
+#> 2 1 -0.95 -2.35 -0.53787463 -0.3893213 -1.4878746 -2.7393213 1
+#> 3 1 -6.20 -2.30 0.04893292 -0.3078683 -6.1510671 -2.6078683 2
+#> 4 1 -13.90 -2.55 -0.28150001 1.6459548 -14.1815000 -0.9040452 2
+#> 5 1 -14.40 -5.80 1.56821981 1.8214466 -12.8317802 -3.9785534 2
+#> 6 1 -3.60 -1.70 -0.35828502 2.0678416 -3.9582850 0.3678416 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6080 -39400 7425
+#> initial value 998.131940
+#> iter 2 value 801.411006
+#> iter 3 value 785.492116
+#> iter 4 value 782.999205
+#> iter 5 value 749.073145
+#> iter 6 value 740.496753
+#> iter 7 value 739.288779
+#> iter 8 value 739.265701
+#> iter 9 value 739.265679
+#> iter 9 value 739.265672
+#> iter 9 value 739.265666
+#> final value 739.265666
+#> converged
+#> This is Run number 175
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.8872974 0.12341300 0.3372974 -12.4765870 1
+#> 2 1 -0.95 -2.35 1.6189959 1.68494407 0.6689959 -0.6650559 1
+#> 3 1 -6.20 -2.30 1.8328573 -0.34986021 -4.3671427 -2.6498602 2
+#> 4 1 -13.90 -2.55 0.3975676 -0.46245576 -13.5024324 -3.0124558 2
+#> 5 1 -14.40 -5.80 0.3211577 -0.06038181 -14.0788423 -5.8603818 2
+#> 6 1 -3.60 -1.70 -1.0312273 -1.01319438 -4.6312273 -2.7131944 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5720 -37425 8125
+#> initial value 998.131940
+#> iter 2 value 825.669270
+#> iter 3 value 811.266908
+#> iter 4 value 809.984140
+#> iter 5 value 769.899215
+#> iter 6 value 761.667549
+#> iter 7 value 760.451298
+#> iter 8 value 760.432272
+#> iter 9 value 760.432257
+#> iter 9 value 760.432255
+#> iter 10 value 760.432241
+#> iter 10 value 760.432231
+#> iter 10 value 760.432231
+#> final value 760.432231
+#> converged
+#> This is Run number 176
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 3.3745435 -0.29377364 2.8245435 -12.893774 1
+#> 2 1 -0.95 -2.35 -0.5793627 0.32469731 -1.5293627 -2.025303 1
+#> 3 1 -6.20 -2.30 -0.8267588 -1.55561020 -7.0267588 -3.855610 2
+#> 4 1 -13.90 -2.55 1.1583074 -0.05119815 -12.7416926 -2.601198 2
+#> 5 1 -14.40 -5.80 0.9096218 0.31094409 -13.4903782 -5.489056 2
+#> 6 1 -3.60 -1.70 3.2312005 -0.13720072 -0.3687995 -1.837201 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6960 -40275 7050
+#> initial value 998.131940
+#> iter 2 value 789.275549
+#> iter 3 value 776.363160
+#> iter 4 value 775.464621
+#> iter 5 value 743.600302
+#> iter 6 value 734.854965
+#> iter 7 value 733.603681
+#> iter 8 value 733.576007
+#> iter 9 value 733.575967
+#> iter 10 value 733.575956
+#> iter 10 value 733.575947
+#> iter 10 value 733.575940
+#> final value 733.575940
+#> converged
+#> This is Run number 177
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.174721419 0.2918176 1.6247214 -12.3081824 1
+#> 2 1 -0.95 -2.35 1.541069712 0.4410086 0.5910697 -1.9089914 1
+#> 3 1 -6.20 -2.30 -1.090772027 1.9146486 -7.2907720 -0.3853514 2
+#> 4 1 -13.90 -2.55 0.377090608 -0.9893143 -13.5229094 -3.5393143 2
+#> 5 1 -14.40 -5.80 -0.919079935 -0.7391974 -15.3190799 -6.5391974 2
+#> 6 1 -3.60 -1.70 0.001740311 1.1685960 -3.5982597 -0.5314040 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -38825 6750
+#> initial value 998.131940
+#> iter 2 value 813.643151
+#> iter 3 value 801.736130
+#> iter 4 value 800.051369
+#> iter 5 value 764.017687
+#> iter 6 value 755.447785
+#> iter 7 value 754.051034
+#> iter 8 value 754.019933
+#> iter 9 value 754.019878
+#> iter 10 value 754.019866
+#> iter 10 value 754.019858
+#> iter 10 value 754.019857
+#> final value 754.019857
+#> converged
+#> This is Run number 178
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.157130763 2.14610729 -0.7071308 -10.4538927 1
+#> 2 1 -0.95 -2.35 -1.577677435 0.07339648 -2.5276774 -2.2766035 2
+#> 3 1 -6.20 -2.30 -0.003356045 -0.17701049 -6.2033560 -2.4770105 2
+#> 4 1 -13.90 -2.55 1.337153663 -0.22073210 -12.5628463 -2.7707321 2
+#> 5 1 -14.40 -5.80 1.206183765 -0.88403495 -13.1938162 -6.6840350 2
+#> 6 1 -3.60 -1.70 1.164644577 2.39105834 -2.4353554 0.6910583 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -39225 7500
+#> initial value 998.131940
+#> iter 2 value 803.573969
+#> iter 3 value 788.306160
+#> iter 4 value 786.339931
+#> iter 5 value 751.742337
+#> iter 6 value 743.178570
+#> iter 7 value 741.958460
+#> iter 8 value 741.935311
+#> iter 9 value 741.935288
+#> iter 9 value 741.935279
+#> iter 9 value 741.935273
+#> final value 741.935273
+#> converged
+#> This is Run number 179
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.36614924 0.3678008 -1.916149 -12.232199 1
+#> 2 1 -0.95 -2.35 -0.09774777 0.4061983 -1.047748 -1.943802 1
+#> 3 1 -6.20 -2.30 -1.38289196 0.1333675 -7.582892 -2.166633 2
+#> 4 1 -13.90 -2.55 -0.60933313 -0.3739232 -14.509333 -2.923923 2
+#> 5 1 -14.40 -5.80 1.08012001 2.0695022 -13.319880 -3.730498 2
+#> 6 1 -3.60 -1.70 1.76909512 -0.6888554 -1.830905 -2.388855 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5380 -38450 8225
+#> initial value 998.131940
+#> iter 2 value 810.608798
+#> iter 3 value 791.580833
+#> iter 4 value 788.319662
+#> iter 5 value 751.898298
+#> iter 6 value 743.572566
+#> iter 7 value 742.413209
+#> iter 8 value 742.395716
+#> iter 8 value 742.395707
+#> final value 742.395707
+#> converged
+#> This is Run number 180
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.42984402 1.15624238 -1.979844 -11.4437576 1
+#> 2 1 -0.95 -2.35 0.47558499 1.25333024 -0.474415 -1.0966698 1
+#> 3 1 -6.20 -2.30 0.92039109 0.23790478 -5.279609 -2.0620952 2
+#> 4 1 -13.90 -2.55 0.11262462 3.27760830 -13.787375 0.7276083 2
+#> 5 1 -14.40 -5.80 -0.08676749 0.61826096 -14.486767 -5.1817390 2
+#> 6 1 -3.60 -1.70 0.63872769 0.04009302 -2.961272 -1.6599070 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5860 -37675 7550
+#> initial value 998.131940
+#> iter 2 value 825.792327
+#> iter 3 value 812.538935
+#> iter 4 value 810.995136
+#> iter 5 value 771.683888
+#> iter 6 value 763.380591
+#> iter 7 value 762.092411
+#> iter 8 value 762.069000
+#> iter 9 value 762.068970
+#> iter 9 value 762.068959
+#> iter 9 value 762.068953
+#> final value 762.068953
+#> converged
+#> This is Run number 181
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.5501851 -1.44881516 1.851489e-04 -14.048815 1
+#> 2 1 -0.95 -2.35 -0.9403997 2.01401200 -1.890400e+00 -0.335988 2
+#> 3 1 -6.20 -2.30 3.2561479 0.02313325 -2.943852e+00 -2.276867 2
+#> 4 1 -13.90 -2.55 -0.6795747 0.93851184 -1.457957e+01 -1.611488 2
+#> 5 1 -14.40 -5.80 3.2273245 2.75636301 -1.117268e+01 -3.043637 2
+#> 6 1 -3.60 -1.70 1.3287723 0.62510498 -2.271228e+00 -1.074895 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -37525 7050
+#> initial value 998.131940
+#> iter 2 value 830.623869
+#> iter 3 value 819.786132
+#> iter 4 value 818.726984
+#> iter 5 value 778.803378
+#> iter 6 value 770.524132
+#> iter 7 value 769.135738
+#> iter 8 value 769.107769
+#> iter 9 value 769.107721
+#> iter 10 value 769.107707
+#> iter 10 value 769.107696
+#> iter 10 value 769.107692
+#> final value 769.107692
+#> converged
+#> This is Run number 182
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.3877798 1.5985972 0.8377798 -11.0014028 1
+#> 2 1 -0.95 -2.35 -0.7188988 -0.9631932 -1.6688988 -3.3131932 1
+#> 3 1 -6.20 -2.30 0.9125603 -0.1913886 -5.2874397 -2.4913886 2
+#> 4 1 -13.90 -2.55 2.4980210 -1.3445891 -11.4019790 -3.8945891 2
+#> 5 1 -14.40 -5.80 -1.2407653 0.8945358 -15.6407653 -4.9054642 2
+#> 6 1 -3.60 -1.70 2.6447546 1.3720081 -0.9552454 -0.3279919 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6700 -39350 7025
+#> initial value 998.131940
+#> iter 2 value 804.029515
+#> iter 3 value 791.861529
+#> iter 4 value 790.907386
+#> iter 5 value 756.253960
+#> iter 6 value 747.596710
+#> iter 7 value 746.261089
+#> iter 8 value 746.231653
+#> iter 9 value 746.231605
+#> iter 10 value 746.231591
+#> iter 10 value 746.231582
+#> iter 10 value 746.231575
+#> final value 746.231575
+#> converged
+#> This is Run number 183
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.80651529 -0.8156940 0.2565153 -13.415694 1
+#> 2 1 -0.95 -2.35 -0.06376154 0.9184796 -1.0137615 -1.431520 1
+#> 3 1 -6.20 -2.30 -0.16201991 0.3479954 -6.3620199 -1.952005 2
+#> 4 1 -13.90 -2.55 -0.34846009 0.1217536 -14.2484601 -2.428246 2
+#> 5 1 -14.40 -5.80 -0.63207541 -0.3123931 -15.0320754 -6.112393 2
+#> 6 1 -3.60 -1.70 1.88403816 2.0195630 -1.7159618 0.319563 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6280 -37550 6825
+#> initial value 998.131940
+#> iter 2 value 831.441654
+#> iter 3 value 821.382124
+#> iter 4 value 820.418177
+#> iter 5 value 780.517258
+#> iter 6 value 772.236743
+#> iter 7 value 770.800043
+#> iter 8 value 770.769984
+#> iter 9 value 770.769926
+#> iter 10 value 770.769912
+#> iter 10 value 770.769902
+#> iter 10 value 770.769895
+#> final value 770.769895
+#> converged
+#> This is Run number 184
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5336898 0.01430224 -1.0836898 -12.585698 1
+#> 2 1 -0.95 -2.35 0.5064921 -0.80267268 -0.4435079 -3.152673 1
+#> 3 1 -6.20 -2.30 0.7161820 0.93388315 -5.4838180 -1.366117 2
+#> 4 1 -13.90 -2.55 1.8915819 -0.08514197 -12.0084181 -2.635142 2
+#> 5 1 -14.40 -5.80 6.7373003 0.54983778 -7.6626997 -5.250162 2
+#> 6 1 -3.60 -1.70 -0.7919913 -0.13593672 -4.3919913 -1.835937 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6720 -39750 6125
+#> initial value 998.131940
+#> iter 2 value 802.582106
+#> iter 3 value 791.516142
+#> iter 4 value 789.415144
+#> iter 5 value 756.164762
+#> iter 6 value 747.435155
+#> iter 7 value 745.952436
+#> iter 8 value 745.914516
+#> iter 9 value 745.914429
+#> iter 9 value 745.914418
+#> iter 9 value 745.914411
+#> final value 745.914411
+#> converged
+#> This is Run number 185
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.15265139 2.2761791 0.6026514 -10.32382089 1
+#> 2 1 -0.95 -2.35 -0.30652863 -0.3118787 -1.2565286 -2.66187870 1
+#> 3 1 -6.20 -2.30 -0.41694314 1.1836174 -6.6169431 -1.11638259 2
+#> 4 1 -13.90 -2.55 0.41632608 2.6217143 -13.4836739 0.07171428 2
+#> 5 1 -14.40 -5.80 -0.03841894 1.2841927 -14.4384189 -4.51580730 2
+#> 6 1 -3.60 -1.70 -0.50718130 -0.5421385 -4.1071813 -2.24213851 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6320 -37575 6500
+#> initial value 998.131940
+#> iter 2 value 832.782799
+#> iter 3 value 823.351503
+#> iter 4 value 822.216163
+#> iter 5 value 782.414388
+#> iter 6 value 774.140895
+#> iter 7 value 772.643795
+#> iter 8 value 772.611360
+#> iter 9 value 772.611293
+#> iter 9 value 772.611291
+#> iter 9 value 772.611291
+#> final value 772.611291
+#> converged
+#> This is Run number 186
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.31849409 -1.1475188 -0.2315059 -13.7475188 1
+#> 2 1 -0.95 -2.35 -0.22081305 1.6985502 -1.1708130 -0.6514498 2
+#> 3 1 -6.20 -2.30 0.05877666 0.1210087 -6.1412233 -2.1789913 2
+#> 4 1 -13.90 -2.55 0.40693132 -0.3927151 -13.4930687 -2.9427151 2
+#> 5 1 -14.40 -5.80 0.83378602 0.9974509 -13.5662140 -4.8025491 2
+#> 6 1 -3.60 -1.70 2.03295389 0.9473908 -1.5670461 -0.7526092 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -37500 6275
+#> initial value 998.131940
+#> iter 2 value 834.726166
+#> iter 3 value 826.636796
+#> iter 4 value 825.947470
+#> iter 5 value 785.782981
+#> iter 6 value 777.551282
+#> iter 7 value 775.976183
+#> iter 8 value 775.941005
+#> iter 9 value 775.940921
+#> iter 9 value 775.940919
+#> iter 9 value 775.940919
+#> final value 775.940919
+#> converged
+#> This is Run number 187
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.1768436 -0.4033544 0.6268436 -13.0033544 1
+#> 2 1 -0.95 -2.35 1.7434304 3.3584012 0.7934304 1.0084012 2
+#> 3 1 -6.20 -2.30 0.4410919 -0.9225754 -5.7589081 -3.2225754 2
+#> 4 1 -13.90 -2.55 0.9139621 -0.4707154 -12.9860379 -3.0207154 2
+#> 5 1 -14.40 -5.80 1.8159705 -0.3670249 -12.5840295 -6.1670249 2
+#> 6 1 -3.60 -1.70 -0.1686814 2.1369949 -3.7686814 0.4369949 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6280 -37975 6525
+#> initial value 998.131940
+#> iter 2 value 827.122648
+#> iter 3 value 816.774891
+#> iter 4 value 815.272899
+#> iter 5 value 776.706030
+#> iter 6 value 768.322593
+#> iter 7 value 766.846473
+#> iter 8 value 766.813985
+#> iter 9 value 766.813920
+#> iter 9 value 766.813920
+#> iter 9 value 766.813920
+#> final value 766.813920
+#> converged
+#> This is Run number 188
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.0338425 0.8205150 1.483843 -11.7794850 1
+#> 2 1 -0.95 -2.35 -0.8180443 -0.8602384 -1.768044 -3.2102384 1
+#> 3 1 -6.20 -2.30 0.6849739 -0.3229602 -5.515026 -2.6229602 2
+#> 4 1 -13.90 -2.55 0.3239195 1.8556292 -13.576080 -0.6943708 2
+#> 5 1 -14.40 -5.80 -0.7300829 -0.2151003 -15.130083 -6.0151003 2
+#> 6 1 -3.60 -1.70 1.4884202 -0.5213997 -2.111580 -2.2213997 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5840 -36775 6075
+#> initial value 998.131940
+#> iter 2 value 845.878251
+#> iter 3 value 836.328672
+#> iter 4 value 834.205564
+#> iter 5 value 792.548050
+#> iter 6 value 784.507969
+#> iter 7 value 782.994471
+#> iter 8 value 782.963394
+#> iter 9 value 782.963331
+#> iter 9 value 782.963321
+#> iter 9 value 782.963317
+#> final value 782.963317
+#> converged
+#> This is Run number 189
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.4316206 2.0186043 -0.9816206 -10.581396 1
+#> 2 1 -0.95 -2.35 -0.9205920 0.9624501 -1.8705920 -1.387550 2
+#> 3 1 -6.20 -2.30 -1.0869945 0.3877159 -7.2869945 -1.912284 2
+#> 4 1 -13.90 -2.55 2.7058583 1.2630219 -11.1941417 -1.286978 2
+#> 5 1 -14.40 -5.80 -0.1632859 -0.3171861 -14.5632859 -6.117186 2
+#> 6 1 -3.60 -1.70 0.7129282 0.3385117 -2.8870718 -1.361488 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -38400 6275
+#> initial value 998.131940
+#> iter 2 value 822.177848
+#> iter 3 value 812.347784
+#> iter 4 value 810.892362
+#> iter 5 value 773.494169
+#> iter 6 value 765.015975
+#> iter 7 value 763.480907
+#> iter 8 value 763.444953
+#> iter 9 value 763.444873
+#> iter 10 value 763.444861
+#> iter 10 value 763.444854
+#> iter 10 value 763.444851
+#> final value 763.444851
+#> converged
+#> This is Run number 190
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.8669391 1.2829662 0.3169391 -11.3170338 1
+#> 2 1 -0.95 -2.35 -0.4963417 1.0327632 -1.4463417 -1.3172368 2
+#> 3 1 -6.20 -2.30 -0.1639651 2.4129229 -6.3639651 0.1129229 2
+#> 4 1 -13.90 -2.55 2.1850226 -0.4910186 -11.7149774 -3.0410186 2
+#> 5 1 -14.40 -5.80 0.4407121 0.6021247 -13.9592879 -5.1978753 2
+#> 6 1 -3.60 -1.70 1.5326628 2.8870041 -2.0673372 1.1870041 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7420 -40625 4875
+#> initial value 998.131940
+#> iter 2 value 793.259227
+#> iter 3 value 785.481207
+#> iter 4 value 783.382954
+#> iter 5 value 752.757599
+#> iter 6 value 744.010708
+#> iter 7 value 742.141658
+#> iter 8 value 742.079824
+#> iter 9 value 742.079515
+#> iter 10 value 742.079487
+#> iter 10 value 742.079486
+#> iter 11 value 742.079468
+#> iter 11 value 742.079462
+#> iter 11 value 742.079459
+#> final value 742.079459
+#> converged
+#> This is Run number 191
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.04740747 -0.21692241 -0.5974075 -12.81692241 1
+#> 2 1 -0.95 -2.35 1.50952731 -0.55648315 0.5595273 -2.90648315 1
+#> 3 1 -6.20 -2.30 0.59228059 -0.18472714 -5.6077194 -2.48472714 2
+#> 4 1 -13.90 -2.55 0.69356433 0.02821362 -13.2064357 -2.52178638 2
+#> 5 1 -14.40 -5.80 -0.15262047 1.87286297 -14.5526205 -3.92713703 2
+#> 6 1 -3.60 -1.70 0.38306370 1.61245394 -3.2169363 -0.08754606 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6000 -38250 6925
+#> initial value 998.131940
+#> iter 2 value 821.246532
+#> iter 3 value 808.446353
+#> iter 4 value 806.263232
+#> iter 5 value 768.732781
+#> iter 6 value 760.285536
+#> iter 7 value 758.922635
+#> iter 8 value 758.894445
+#> iter 9 value 758.894402
+#> iter 9 value 758.894392
+#> iter 9 value 758.894386
+#> final value 758.894386
+#> converged
+#> This is Run number 192
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.77438849 0.3426618 2.224388 -12.257338 1
+#> 2 1 -0.95 -2.35 3.31776593 0.4104071 2.367766 -1.939593 1
+#> 3 1 -6.20 -2.30 -0.01538850 -1.3005204 -6.215388 -3.600520 2
+#> 4 1 -13.90 -2.55 0.05183684 -1.0913297 -13.848163 -3.641330 2
+#> 5 1 -14.40 -5.80 -0.54034107 0.2902806 -14.940341 -5.509719 2
+#> 6 1 -3.60 -1.70 1.39107077 -0.6858458 -2.208929 -2.385846 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6440 -38950 5975
+#> initial value 998.131940
+#> iter 2 value 815.636264
+#> iter 3 value 804.901308
+#> iter 4 value 802.500386
+#> iter 5 value 766.969640
+#> iter 6 value 758.365476
+#> iter 7 value 756.809996
+#> iter 8 value 756.771283
+#> iter 9 value 756.771187
+#> iter 10 value 756.771175
+#> iter 10 value 756.771175
+#> iter 10 value 756.771170
+#> final value 756.771170
+#> converged
+#> This is Run number 193
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.23681938 4.23561905 1.6868194 -8.364381 1
+#> 2 1 -0.95 -2.35 0.62215365 -0.08347456 -0.3278463 -2.433475 1
+#> 3 1 -6.20 -2.30 3.33367967 -0.82596626 -2.8663203 -3.125966 1
+#> 4 1 -13.90 -2.55 -0.60050490 1.25185987 -14.5005049 -1.298140 2
+#> 5 1 -14.40 -5.80 -1.04581477 -0.79087053 -15.4458148 -6.590871 2
+#> 6 1 -3.60 -1.70 0.04483899 -0.13272195 -3.5551610 -1.832722 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5680 -38450 6875
+#> initial value 998.131940
+#> iter 2 value 818.718002
+#> iter 3 value 803.697893
+#> iter 4 value 800.168359
+#> iter 5 value 763.562357
+#> iter 6 value 755.061158
+#> iter 7 value 753.740804
+#> iter 8 value 753.714085
+#> iter 9 value 753.714049
+#> iter 9 value 753.714041
+#> iter 9 value 753.714036
+#> final value 753.714036
+#> converged
+#> This is Run number 194
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.2685430 -0.4870776 -0.8185430 -13.087078 1
+#> 2 1 -0.95 -2.35 0.8251384 0.2982941 -0.1248616 -2.051706 1
+#> 3 1 -6.20 -2.30 -0.4028685 0.1790501 -6.6028685 -2.120950 2
+#> 4 1 -13.90 -2.55 0.2935466 -1.3087466 -13.6064534 -3.858747 2
+#> 5 1 -14.40 -5.80 0.5960075 2.7431325 -13.8039925 -3.056868 2
+#> 6 1 -3.60 -1.70 0.5781135 1.4689670 -3.0218865 -0.231033 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6960 -41000 6825
+#> initial value 998.131940
+#> iter 2 value 778.809209
+#> iter 3 value 765.158628
+#> iter 4 value 763.484505
+#> iter 5 value 734.027050
+#> iter 6 value 725.271131
+#> iter 7 value 724.083866
+#> iter 8 value 724.056948
+#> iter 9 value 724.056913
+#> iter 9 value 724.056912
+#> iter 9 value 724.056912
+#> final value 724.056912
+#> converged
+#> This is Run number 195
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.8492848 -0.53395365 2.2992848 -13.1339536 1
+#> 2 1 -0.95 -2.35 0.3839092 1.63353669 -0.5660908 -0.7164633 1
+#> 3 1 -6.20 -2.30 -0.5999922 -0.02843212 -6.7999922 -2.3284321 2
+#> 4 1 -13.90 -2.55 -0.1481716 -1.16700661 -14.0481716 -3.7170066 2
+#> 5 1 -14.40 -5.80 -0.1826396 0.62942178 -14.5826396 -5.1705782 2
+#> 6 1 -3.60 -1.70 -0.3461750 0.92165860 -3.9461750 -0.7783414 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6920 -38300 7675
+#> initial value 998.131940
+#> iter 2 value 815.378508
+#> iter 3 value 803.595570
+#> iter 4 value 803.587425
+#> iter 5 value 765.383725
+#> iter 6 value 757.202761
+#> iter 7 value 755.994848
+#> iter 8 value 755.973212
+#> iter 9 value 755.973177
+#> iter 9 value 755.973170
+#> iter 9 value 755.973160
+#> final value 755.973160
+#> converged
+#> This is Run number 196
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.2584187 1.27538370 -0.2915813 -11.3246163 1
+#> 2 1 -0.95 -2.35 -1.1944636 1.60267970 -2.1444636 -0.7473203 2
+#> 3 1 -6.20 -2.30 0.3963088 0.04613938 -5.8036912 -2.2538606 2
+#> 4 1 -13.90 -2.55 1.2945879 -1.05373477 -12.6054121 -3.6037348 2
+#> 5 1 -14.40 -5.80 0.7435609 1.86424057 -13.6564391 -3.9357594 2
+#> 6 1 -3.60 -1.70 -0.7769179 0.82060087 -4.3769179 -0.8793991 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6860 -40000 6125
+#> initial value 998.131940
+#> iter 2 value 798.553892
+#> iter 3 value 787.687845
+#> iter 4 value 785.804415
+#> iter 5 value 753.230464
+#> iter 6 value 744.470930
+#> iter 7 value 742.997792
+#> iter 8 value 742.959543
+#> iter 9 value 742.959455
+#> iter 9 value 742.959444
+#> iter 9 value 742.959437
+#> final value 742.959437
+#> converged
+#> This is Run number 197
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.1795092 0.1768442 0.6295092 -12.4231558 1
+#> 2 1 -0.95 -2.35 0.4985522 2.6045716 -0.4514478 0.2545716 2
+#> 3 1 -6.20 -2.30 -1.2315964 0.9454194 -7.4315964 -1.3545806 2
+#> 4 1 -13.90 -2.55 -0.3435481 1.3788827 -14.2435481 -1.1711173 2
+#> 5 1 -14.40 -5.80 3.7034150 -0.3254818 -10.6965850 -6.1254818 2
+#> 6 1 -3.60 -1.70 2.0566962 3.7886589 -1.5433038 2.0886589 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -40725 7125
+#> initial value 998.131940
+#> iter 2 value 781.788472
+#> iter 3 value 767.303168
+#> iter 4 value 765.751687
+#> iter 5 value 735.496737
+#> iter 6 value 726.782344
+#> iter 7 value 725.620422
+#> iter 8 value 725.595971
+#> iter 9 value 725.595944
+#> iter 9 value 725.595937
+#> iter 9 value 725.595936
+#> final value 725.595936
+#> converged
+#> This is Run number 198
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.676615 -0.4508708 2.1266146 -13.050871 1
+#> 2 1 -0.95 -2.35 1.159416 -0.5837382 0.2094159 -2.933738 1
+#> 3 1 -6.20 -2.30 1.261371 -0.7553756 -4.9386295 -3.055376 2
+#> 4 1 -13.90 -2.55 2.460986 -0.4025537 -11.4390143 -2.952554 2
+#> 5 1 -14.40 -5.80 0.898933 2.3905539 -13.5010670 -3.409446 2
+#> 6 1 -3.60 -1.70 -1.191725 0.2209825 -4.7917249 -1.479018 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6640 -40000 7100
+#> initial value 998.131940
+#> iter 2 value 793.663299
+#> iter 3 value 779.872106
+#> iter 4 value 778.346302
+#> iter 5 value 745.856404
+#> iter 6 value 737.157314
+#> iter 7 value 735.913605
+#> iter 8 value 735.886988
+#> iter 9 value 735.886953
+#> iter 9 value 735.886943
+#> iter 9 value 735.886936
+#> final value 735.886936
+#> converged
+#> This is Run number 199
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5658026 0.1511926 -1.11580255 -12.4488074 1
+#> 2 1 -0.95 -2.35 0.8758248 1.6622111 -0.07417522 -0.6877889 1
+#> 3 1 -6.20 -2.30 -0.1747381 1.3247372 -6.37473815 -0.9752628 2
+#> 4 1 -13.90 -2.55 -0.6417134 1.1229533 -14.54171342 -1.4270467 2
+#> 5 1 -14.40 -5.80 1.6665734 -0.2648074 -12.73342657 -6.0648074 2
+#> 6 1 -3.60 -1.70 -0.2353709 0.8166244 -3.83537086 -0.8833756 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6340 -39625 6575
+#> initial value 998.131940
+#> iter 2 value 802.556116
+#> iter 3 value 789.091674
+#> iter 4 value 786.330848
+#> iter 5 value 752.974064
+#> iter 6 value 744.278695
+#> iter 7 value 742.933661
+#> iter 8 value 742.902636
+#> iter 9 value 742.902584
+#> iter 9 value 742.902575
+#> iter 9 value 742.902570
+#> final value 742.902570
+#> converged
+#> This is Run number 200
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.74858405 -0.5936579 0.1985841 -13.19365786 1
+#> 2 1 -0.95 -2.35 -0.50898491 0.2072589 -1.4589849 -2.14274111 1
+#> 3 1 -6.20 -2.30 2.07503380 3.9442964 -4.1249662 1.64429640 2
+#> 4 1 -13.90 -2.55 -0.08858795 2.1107706 -13.9885880 -0.43922944 2
+#> 5 1 -14.40 -5.80 0.76113817 -0.5174640 -13.6388618 -6.31746397 2
+#> 6 1 -3.60 -1.70 -0.70785248 1.7888556 -4.3078525 0.08885562 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5920 -38250 7125
+#> initial value 998.131940
+#> iter 2 value 820.162332
+#> iter 3 value 806.641201
+#> iter 4 value 804.398536
+#> iter 5 value 766.912473
+#> iter 6 value 758.474755
+#> iter 7 value 757.149550
+#> iter 8 value 757.123155
+#> iter 9 value 757.123118
+#> iter 9 value 757.123108
+#> iter 9 value 757.123102
+#> final value 757.123102
+#> converged
+#> This is Run number 201
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.7083281 -0.23988548 -1.258328e+00 -12.839885 1
+#> 2 1 -0.95 -2.35 0.9506646 -0.50004482 6.645586e-04 -2.850045 1
+#> 3 1 -6.20 -2.30 -0.1447649 -0.03361594 -6.344765e+00 -2.333616 2
+#> 4 1 -13.90 -2.55 5.9692551 -1.35843711 -7.930745e+00 -3.908437 2
+#> 5 1 -14.40 -5.80 -0.6342011 2.02312797 -1.503420e+01 -3.776872 2
+#> 6 1 -3.60 -1.70 -0.3238174 -0.69004692 -3.923817e+00 -2.390047 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -39875 5950
+#> initial value 998.131940
+#> iter 2 value 801.375294
+#> iter 3 value 790.814640
+#> iter 4 value 788.724097
+#> iter 5 value 755.826632
+#> iter 6 value 747.081158
+#> iter 7 value 745.554604
+#> iter 8 value 745.514137
+#> iter 9 value 745.514034
+#> iter 10 value 745.514022
+#> iter 10 value 745.514022
+#> iter 10 value 745.514016
+#> final value 745.514016
+#> converged
+#> This is Run number 202
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.5697809 -0.7909869 0.01978094 -13.3909869 1
+#> 2 1 -0.95 -2.35 2.4273928 1.6648303 1.47739277 -0.6851697 1
+#> 3 1 -6.20 -2.30 1.4611589 0.3452577 -4.73884110 -1.9547423 2
+#> 4 1 -13.90 -2.55 -0.8986482 0.3966028 -14.79864816 -2.1533972 2
+#> 5 1 -14.40 -5.80 -1.2740867 0.3010369 -15.67408671 -5.4989631 2
+#> 6 1 -3.60 -1.70 1.5582558 -1.1247511 -2.04174419 -2.8247511 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -37450 6125
+#> initial value 998.131940
+#> iter 2 value 836.231956
+#> iter 3 value 828.120323
+#> iter 4 value 827.144406
+#> iter 5 value 786.934084
+#> iter 6 value 778.723677
+#> iter 7 value 777.133218
+#> iter 8 value 777.097716
+#> iter 9 value 777.097631
+#> iter 9 value 777.097630
+#> iter 9 value 777.097630
+#> final value 777.097630
+#> converged
+#> This is Run number 203
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.97575981 1.77107368 -1.525760 -10.828926 1
+#> 2 1 -0.95 -2.35 -0.47955729 -0.02563109 -1.429557 -2.375631 1
+#> 3 1 -6.20 -2.30 -0.11500065 0.24392994 -6.315001 -2.056070 2
+#> 4 1 -13.90 -2.55 -0.32306038 1.25897720 -14.223060 -1.291023 2
+#> 5 1 -14.40 -5.80 0.07754566 -0.51699646 -14.322454 -6.316996 2
+#> 6 1 -3.60 -1.70 -1.26012197 -0.26795801 -4.860122 -1.967958 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5540 -37525 7425
+#> initial value 998.131940
+#> iter 2 value 828.662301
+#> iter 3 value 814.421967
+#> iter 4 value 811.902972
+#> iter 5 value 772.426458
+#> iter 6 value 764.166167
+#> iter 7 value 762.877585
+#> iter 8 value 762.854421
+#> iter 9 value 762.854394
+#> iter 9 value 762.854384
+#> iter 9 value 762.854379
+#> final value 762.854379
+#> converged
+#> This is Run number 204
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.82756837 0.9945737 2.2775684 -11.605426 1
+#> 2 1 -0.95 -2.35 0.02854267 -0.2602364 -0.9214573 -2.610236 1
+#> 3 1 -6.20 -2.30 0.98715561 1.1569931 -5.2128444 -1.143007 2
+#> 4 1 -13.90 -2.55 0.03342283 1.0614358 -13.8665772 -1.488564 2
+#> 5 1 -14.40 -5.80 -0.01490610 -0.1229999 -14.4149061 -5.923000 2
+#> 6 1 -3.60 -1.70 3.19890631 0.3938729 -0.4010937 -1.306127 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5640 -36900 7025
+#> initial value 998.131940
+#> iter 2 value 839.381554
+#> iter 3 value 827.670726
+#> iter 4 value 825.665146
+#> iter 5 value 784.278678
+#> iter 6 value 776.177329
+#> iter 7 value 774.822840
+#> iter 8 value 774.797450
+#> iter 9 value 774.797412
+#> iter 9 value 774.797401
+#> iter 9 value 774.797396
+#> final value 774.797396
+#> converged
+#> This is Run number 205
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.6653152 0.2775223 -1.215315 -12.322478 1
+#> 2 1 -0.95 -2.35 -0.3506892 0.9136511 -1.300689 -1.436349 1
+#> 3 1 -6.20 -2.30 -0.3339382 4.8395650 -6.533938 2.539565 2
+#> 4 1 -13.90 -2.55 0.6295637 1.0879722 -13.270436 -1.462028 2
+#> 5 1 -14.40 -5.80 -0.4716169 -0.4118703 -14.871617 -6.211870 2
+#> 6 1 -3.60 -1.70 0.1401795 -1.1066294 -3.459821 -2.806629 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6720 -38450 6425
+#> initial value 998.131940
+#> iter 2 value 820.500551
+#> iter 3 value 811.148662
+#> iter 4 value 810.325943
+#> iter 5 value 772.873807
+#> iter 6 value 764.382310
+#> iter 7 value 762.850214
+#> iter 8 value 762.814215
+#> iter 9 value 762.814132
+#> iter 10 value 762.814118
+#> iter 10 value 762.814109
+#> iter 10 value 762.814105
+#> final value 762.814105
+#> converged
+#> This is Run number 206
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.00562084 1.3004540 0.4556208 -11.299546 1
+#> 2 1 -0.95 -2.35 1.35113052 0.5180916 0.4011305 -1.831908 1
+#> 3 1 -6.20 -2.30 0.69321991 0.2222753 -5.5067801 -2.077725 2
+#> 4 1 -13.90 -2.55 -0.53267292 -0.1220737 -14.4326729 -2.672074 2
+#> 5 1 -14.40 -5.80 2.19095060 0.5133671 -12.2090494 -5.286633 2
+#> 6 1 -3.60 -1.70 -0.01871406 0.5301702 -3.6187141 -1.169830 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6640 -38975 8000
+#> initial value 998.131940
+#> iter 2 value 803.832796
+#> iter 3 value 789.484828
+#> iter 4 value 789.203618
+#> iter 5 value 753.507337
+#> iter 6 value 744.940445
+#> iter 7 value 743.754970
+#> iter 8 value 743.734896
+#> iter 9 value 743.734873
+#> iter 9 value 743.734867
+#> iter 9 value 743.734863
+#> final value 743.734863
+#> converged
+#> This is Run number 207
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.79827061 -1.0301249 1.248271 -13.63012489 1
+#> 2 1 -0.95 -2.35 -0.70996696 1.7787087 -1.659967 -0.57129125 2
+#> 3 1 -6.20 -2.30 -0.69222404 0.1297352 -6.892224 -2.17026482 2
+#> 4 1 -13.90 -2.55 1.28727624 2.4872409 -12.612724 -0.06275913 2
+#> 5 1 -14.40 -5.80 -0.85938065 -0.8659836 -15.259381 -6.66598355 2
+#> 6 1 -3.60 -1.70 0.09647942 -0.4644043 -3.503521 -2.16440430 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5460 -39225 7775
+#> initial value 998.131940
+#> iter 2 value 802.031969
+#> iter 3 value 782.092187
+#> iter 4 value 777.723227
+#> iter 5 value 743.861703
+#> iter 6 value 735.404082
+#> iter 7 value 734.264279
+#> iter 8 value 734.245285
+#> iter 8 value 734.245277
+#> final value 734.245277
+#> converged
+#> This is Run number 208
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.474340733 1.7911282 -0.07565927 -10.8088718 1
+#> 2 1 -0.95 -2.35 -0.556423489 2.9628059 -1.50642349 0.6128059 2
+#> 3 1 -6.20 -2.30 -1.296550267 0.3542291 -7.49655027 -1.9457709 2
+#> 4 1 -13.90 -2.55 -0.832512501 0.1800411 -14.73251250 -2.3699589 2
+#> 5 1 -14.40 -5.80 0.008062101 -0.1892226 -14.39193790 -5.9892226 2
+#> 6 1 -3.60 -1.70 0.300677695 -0.3856469 -3.29932230 -2.0856469 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7160 -38275 5350
+#> initial value 998.131940
+#> iter 2 value 827.439670
+#> iter 3 value 821.366945
+#> iter 4 value 820.756337
+#> iter 5 value 782.650249
+#> iter 6 value 774.309125
+#> iter 7 value 772.441022
+#> iter 8 value 772.393038
+#> iter 9 value 772.392877
+#> iter 10 value 772.392863
+#> iter 10 value 772.392863
+#> iter 10 value 772.392859
+#> final value 772.392859
+#> converged
+#> This is Run number 209
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.8225040 -0.1780247 0.272504 -12.7780247 1
+#> 2 1 -0.95 -2.35 2.0999462 1.6790221 1.149946 -0.6709779 1
+#> 3 1 -6.20 -2.30 1.2541799 3.1807898 -4.945820 0.8807898 2
+#> 4 1 -13.90 -2.55 -1.1655911 0.1878590 -15.065591 -2.3621410 2
+#> 5 1 -14.40 -5.80 -0.5826035 1.2253266 -14.982604 -4.5746734 2
+#> 6 1 -3.60 -1.70 1.6363569 0.9918696 -1.963643 -0.7081304 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6080 -38725 7000
+#> initial value 998.131940
+#> iter 2 value 813.924157
+#> iter 3 value 800.358844
+#> iter 4 value 798.069634
+#> iter 5 value 761.970917
+#> iter 6 value 753.435851
+#> iter 7 value 752.107717
+#> iter 8 value 752.080088
+#> iter 9 value 752.080048
+#> iter 9 value 752.080038
+#> iter 9 value 752.080032
+#> final value 752.080032
+#> converged
+#> This is Run number 210
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.0804471 1.6148739 -1.6304471 -10.9851261 1
+#> 2 1 -0.95 -2.35 1.7314486 0.4688926 0.7814486 -1.8811074 1
+#> 3 1 -6.20 -2.30 1.5239115 0.2387191 -4.6760885 -2.0612809 2
+#> 4 1 -13.90 -2.55 -0.5629955 1.8695882 -14.4629955 -0.6804118 2
+#> 5 1 -14.40 -5.80 -0.1106001 -0.1239423 -14.5106001 -5.9239423 2
+#> 6 1 -3.60 -1.70 0.8496519 -0.3173498 -2.7503481 -2.0173498 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -38525 5900
+#> initial value 998.131940
+#> iter 2 value 822.255128
+#> iter 3 value 812.118377
+#> iter 4 value 809.853369
+#> iter 5 value 773.052328
+#> iter 6 value 764.541898
+#> iter 7 value 762.948070
+#> iter 8 value 762.909123
+#> iter 9 value 762.909023
+#> iter 10 value 762.909011
+#> iter 10 value 762.909011
+#> iter 10 value 762.909006
+#> final value 762.909006
+#> converged
+#> This is Run number 211
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.7381860 2.3702811 -1.288186 -10.229719 1
+#> 2 1 -0.95 -2.35 -1.0710475 -0.3180330 -2.021048 -2.668033 1
+#> 3 1 -6.20 -2.30 -0.1021724 0.1380649 -6.302172 -2.161935 2
+#> 4 1 -13.90 -2.55 3.2012258 1.2632025 -10.698774 -1.286798 2
+#> 5 1 -14.40 -5.80 0.3240949 -0.5851632 -14.075905 -6.385163 2
+#> 6 1 -3.60 -1.70 -0.6865354 -1.2800631 -4.286535 -2.980063 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5640 -38125 7800
+#> initial value 998.131940
+#> iter 2 value 817.997227
+#> iter 3 value 802.145859
+#> iter 4 value 799.752160
+#> iter 5 value 762.038148
+#> iter 6 value 753.679818
+#> iter 7 value 752.452537
+#> iter 8 value 752.431655
+#> iter 9 value 752.431635
+#> iter 9 value 752.431629
+#> iter 9 value 752.431629
+#> final value 752.431629
+#> converged
+#> This is Run number 212
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5518995 0.7412249 -1.101900 -11.858775 1
+#> 2 1 -0.95 -2.35 -1.2393277 -0.3694231 -2.189328 -2.719423 1
+#> 3 1 -6.20 -2.30 2.7140459 0.6899771 -3.485954 -1.610023 2
+#> 4 1 -13.90 -2.55 0.5622765 0.9551819 -13.337723 -1.594818 2
+#> 5 1 -14.40 -5.80 -0.3327129 -0.1355594 -14.732713 -5.935559 2
+#> 6 1 -3.60 -1.70 0.3038434 -1.2381983 -3.296157 -2.938198 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -39400 5850
+#> initial value 998.131940
+#> iter 2 value 809.433833
+#> iter 3 value 798.150084
+#> iter 4 value 795.306960
+#> iter 5 value 761.213008
+#> iter 6 value 752.519260
+#> iter 7 value 750.971687
+#> iter 8 value 750.931472
+#> iter 9 value 750.931362
+#> iter 10 value 750.931350
+#> iter 10 value 750.931349
+#> iter 10 value 750.931343
+#> final value 750.931343
+#> converged
+#> This is Run number 213
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.8397235 0.8683139 0.2897235 -11.7316861 1
+#> 2 1 -0.95 -2.35 -0.5890346 0.9158195 -1.5390346 -1.4341805 2
+#> 3 1 -6.20 -2.30 2.0217331 0.8086952 -4.1782669 -1.4913048 2
+#> 4 1 -13.90 -2.55 -1.1671817 0.2152469 -15.0671817 -2.3347531 2
+#> 5 1 -14.40 -5.80 0.6411148 0.3520927 -13.7588852 -5.4479073 2
+#> 6 1 -3.60 -1.70 0.1473700 1.2898364 -3.4526300 -0.4101636 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5560 -35925 6275
+#> initial value 998.131940
+#> iter 2 value 855.875285
+#> iter 3 value 846.557284
+#> iter 4 value 844.541095
+#> iter 5 value 800.651093
+#> iter 6 value 792.889076
+#> iter 7 value 791.466039
+#> iter 8 value 791.439678
+#> iter 9 value 791.439632
+#> iter 9 value 791.439631
+#> iter 9 value 791.439631
+#> final value 791.439631
+#> converged
+#> This is Run number 214
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.5880903 1.72894066 0.03809032 -10.871059 1
+#> 2 1 -0.95 -2.35 -1.3183744 0.02608701 -2.26837443 -2.323913 1
+#> 3 1 -6.20 -2.30 -0.5867485 -0.76564477 -6.78674846 -3.065645 2
+#> 4 1 -13.90 -2.55 2.5043098 0.68273099 -11.39569015 -1.867269 2
+#> 5 1 -14.40 -5.80 3.0882450 -1.53274335 -11.31175496 -7.332743 2
+#> 6 1 -3.60 -1.70 -1.2458252 -0.81017421 -4.84582520 -2.510174 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -38750 7775
+#> initial value 998.131940
+#> iter 2 value 808.808801
+#> iter 3 value 794.775476
+#> iter 4 value 794.006426
+#> iter 5 value 757.686181
+#> iter 6 value 749.161460
+#> iter 7 value 747.932226
+#> iter 8 value 747.910021
+#> iter 9 value 747.909995
+#> iter 9 value 747.909988
+#> iter 9 value 747.909986
+#> final value 747.909986
+#> converged
+#> This is Run number 215
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.09169008 -0.1369218 -0.4583099 -12.7369218 1
+#> 2 1 -0.95 -2.35 -0.09315536 -0.6526726 -1.0431554 -3.0026726 1
+#> 3 1 -6.20 -2.30 -0.45936153 3.2561633 -6.6593615 0.9561633 2
+#> 4 1 -13.90 -2.55 -0.26124703 -0.3651859 -14.1612470 -2.9151859 2
+#> 5 1 -14.40 -5.80 1.02114270 1.0287486 -13.3788573 -4.7712514 2
+#> 6 1 -3.60 -1.70 -0.30273714 0.8162572 -3.9027371 -0.8837428 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6000 -39350 7125
+#> initial value 998.131940
+#> iter 2 value 803.935733
+#> iter 3 value 788.262130
+#> iter 4 value 785.181803
+#> iter 5 value 751.201637
+#> iter 6 value 742.598680
+#> iter 7 value 741.353379
+#> iter 8 value 741.328242
+#> iter 9 value 741.328214
+#> iter 9 value 741.328206
+#> iter 9 value 741.328201
+#> final value 741.328201
+#> converged
+#> This is Run number 216
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.2066983 2.6146710 -0.7566983 -9.9853290 1
+#> 2 1 -0.95 -2.35 0.3564629 1.9682892 -0.5935371 -0.3817108 2
+#> 3 1 -6.20 -2.30 1.0512524 1.6769366 -5.1487476 -0.6230634 2
+#> 4 1 -13.90 -2.55 2.0165478 0.8636186 -11.8834522 -1.6863814 2
+#> 5 1 -14.40 -5.80 1.2738111 0.2055095 -13.1261889 -5.5944905 2
+#> 6 1 -3.60 -1.70 -0.4822271 -0.4540221 -4.0822271 -2.1540221 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5720 -37900 7275
+#> initial value 998.131940
+#> iter 2 value 824.311550
+#> iter 3 value 810.335267
+#> iter 4 value 807.912021
+#> iter 5 value 769.479035
+#> iter 6 value 761.124843
+#> iter 7 value 759.819415
+#> iter 8 value 759.794711
+#> iter 9 value 759.794680
+#> iter 9 value 759.794670
+#> iter 9 value 759.794665
+#> final value 759.794665
+#> converged
+#> This is Run number 217
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.9269806 -0.4281532 0.3769806 -13.028153 1
+#> 2 1 -0.95 -2.35 1.9402842 -0.3252042 0.9902842 -2.675204 1
+#> 3 1 -6.20 -2.30 3.3392293 0.3297800 -2.8607707 -1.970220 2
+#> 4 1 -13.90 -2.55 1.6926674 -0.6094662 -12.2073326 -3.159466 2
+#> 5 1 -14.40 -5.80 3.9327639 -0.1386314 -10.4672361 -5.938631 2
+#> 6 1 -3.60 -1.70 1.6349908 -1.3948699 -1.9650092 -3.094870 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5900 -39075 7025
+#> initial value 998.131940
+#> iter 2 value 808.666363
+#> iter 3 value 793.236179
+#> iter 4 value 789.971672
+#> iter 5 value 755.191358
+#> iter 6 value 746.609712
+#> iter 7 value 745.335143
+#> iter 8 value 745.309189
+#> iter 9 value 745.309157
+#> iter 9 value 745.309150
+#> iter 9 value 745.309145
+#> final value 745.309145
+#> converged
+#> This is Run number 218
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.16000160 -0.03526239 -1.710002 -12.63526239 1
+#> 2 1 -0.95 -2.35 -0.89423071 -0.64229143 -1.844231 -2.99229143 1
+#> 3 1 -6.20 -2.30 -1.17382981 0.14981155 -7.373830 -2.15018845 2
+#> 4 1 -13.90 -2.55 0.22575472 -0.32449013 -13.674245 -2.87449013 2
+#> 5 1 -14.40 -5.80 -0.03684955 0.32234712 -14.436850 -5.47765288 2
+#> 6 1 -3.60 -1.70 0.28921266 1.60723484 -3.310787 -0.09276516 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5920 -38300 7725
+#> initial value 998.131940
+#> iter 2 value 815.900592
+#> iter 3 value 801.140831
+#> iter 4 value 799.430577
+#> iter 5 value 762.025225
+#> iter 6 value 753.610059
+#> iter 7 value 752.369440
+#> iter 8 value 752.347448
+#> iter 9 value 752.347424
+#> iter 9 value 752.347416
+#> iter 9 value 752.347410
+#> final value 752.347410
+#> converged
+#> This is Run number 219
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.91658657 3.91101543 -1.4665866 -8.688985 1
+#> 2 1 -0.95 -2.35 0.08912086 0.07344246 -0.8608791 -2.276558 1
+#> 3 1 -6.20 -2.30 1.74606889 0.59702546 -4.4539311 -1.702975 2
+#> 4 1 -13.90 -2.55 2.04921261 0.42832508 -11.8507874 -2.121675 2
+#> 5 1 -14.40 -5.80 1.52153305 -0.40264686 -12.8784670 -6.202647 2
+#> 6 1 -3.60 -1.70 0.54033159 -0.86860529 -3.0596684 -2.568605 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -38650 6850
+#> initial value 998.131940
+#> iter 2 value 815.638568
+#> iter 3 value 804.051855
+#> iter 4 value 802.712554
+#> iter 5 value 766.072786
+#> iter 6 value 757.535318
+#> iter 7 value 756.138987
+#> iter 8 value 756.108346
+#> iter 9 value 756.108292
+#> iter 10 value 756.108279
+#> iter 10 value 756.108270
+#> iter 10 value 756.108268
+#> final value 756.108268
+#> converged
+#> This is Run number 220
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.0654828 0.6547639 -1.6154828 -11.94523608 1
+#> 2 1 -0.95 -2.35 0.3993259 0.3562450 -0.5506741 -1.99375501 1
+#> 3 1 -6.20 -2.30 2.7682318 1.1207055 -3.4317682 -1.17929447 2
+#> 4 1 -13.90 -2.55 1.0575306 1.3948554 -12.8424694 -1.15514458 2
+#> 5 1 -14.40 -5.80 2.4069026 0.2330548 -11.9930974 -5.56694521 2
+#> 6 1 -3.60 -1.70 -1.1249150 1.7991393 -4.7249150 0.09913926 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5820 -37775 7350
+#> initial value 998.131940
+#> iter 2 value 825.601490
+#> iter 3 value 812.297340
+#> iter 4 value 810.377079
+#> iter 5 value 771.446108
+#> iter 6 value 763.119233
+#> iter 7 value 761.810783
+#> iter 8 value 761.786157
+#> iter 9 value 761.786125
+#> iter 9 value 761.786114
+#> iter 9 value 761.786108
+#> final value 761.786108
+#> converged
+#> This is Run number 221
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.9000783 -0.004409697 0.3500783 -12.604410 1
+#> 2 1 -0.95 -2.35 -0.4800878 0.563000045 -1.4300878 -1.787000 1
+#> 3 1 -6.20 -2.30 0.4041835 0.605752274 -5.7958165 -1.694248 2
+#> 4 1 -13.90 -2.55 -0.7918820 0.761345481 -14.6918820 -1.788655 2
+#> 5 1 -14.40 -5.80 0.8632203 0.200058745 -13.5367797 -5.599941 2
+#> 6 1 -3.60 -1.70 0.8651042 0.042409954 -2.7348958 -1.657590 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -39000 7225
+#> initial value 998.131940
+#> iter 2 value 808.253020
+#> iter 3 value 795.813338
+#> iter 4 value 794.951389
+#> iter 5 value 759.274754
+#> iter 6 value 750.677054
+#> iter 7 value 749.358660
+#> iter 8 value 749.331012
+#> iter 9 value 749.330969
+#> iter 10 value 749.330956
+#> iter 10 value 749.330946
+#> iter 10 value 749.330939
+#> final value 749.330939
+#> converged
+#> This is Run number 222
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5974888 0.7207872 -1.147489 -11.8792128 1
+#> 2 1 -0.95 -2.35 2.4177932 1.2107015 1.467793 -1.1392985 1
+#> 3 1 -6.20 -2.30 -0.9147225 0.8125029 -7.114723 -1.4874971 2
+#> 4 1 -13.90 -2.55 0.9994110 2.1232375 -12.900589 -0.4267625 2
+#> 5 1 -14.40 -5.80 -1.0913688 4.5534294 -15.491369 -1.2465706 2
+#> 6 1 -3.60 -1.70 -0.0112052 -0.3993452 -3.611205 -2.0993452 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6680 -38075 7100
+#> initial value 998.131940
+#> iter 2 value 822.261078
+#> iter 3 value 811.942835
+#> iter 4 value 811.632289
+#> iter 5 value 773.078012
+#> iter 6 value 764.644017
+#> iter 7 value 763.231041
+#> iter 8 value 763.200911
+#> iter 9 value 763.200851
+#> iter 10 value 763.200835
+#> iter 10 value 763.200825
+#> iter 10 value 763.200818
+#> final value 763.200818
+#> converged
+#> This is Run number 223
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.8476100 1.3207487 1.297610 -11.279251334 1
+#> 2 1 -0.95 -2.35 -0.8531956 2.3562997 -1.803196 0.006299748 2
+#> 3 1 -6.20 -2.30 1.3090482 -1.4392946 -4.890952 -3.739294611 2
+#> 4 1 -13.90 -2.55 0.7109863 1.2417223 -13.189014 -1.308277719 2
+#> 5 1 -14.40 -5.80 2.1710187 0.4505619 -12.228981 -5.349438056 2
+#> 6 1 -3.60 -1.70 -1.3060764 -0.1635694 -4.906076 -1.863569387 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6280 -37325 6150
+#> initial value 998.131940
+#> iter 2 value 837.964233
+#> iter 3 value 829.286267
+#> iter 4 value 827.941315
+#> iter 5 value 787.517484
+#> iter 6 value 779.333333
+#> iter 7 value 777.774281
+#> iter 8 value 777.740246
+#> iter 9 value 777.740170
+#> iter 9 value 777.740170
+#> iter 9 value 777.740170
+#> final value 777.740170
+#> converged
+#> This is Run number 224
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.1452453 0.13098693 -1.6952453 -12.4690131 1
+#> 2 1 -0.95 -2.35 0.3876162 0.77493437 -0.5623838 -1.5750656 1
+#> 3 1 -6.20 -2.30 1.6711713 0.74241078 -4.5288287 -1.5575892 2
+#> 4 1 -13.90 -2.55 -0.7816148 1.76706709 -14.6816148 -0.7829329 2
+#> 5 1 -14.40 -5.80 0.4505547 -0.46879084 -13.9494453 -6.2687908 2
+#> 6 1 -3.60 -1.70 0.3612035 0.07746109 -3.2387965 -1.6225389 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5960 -36850 6500
+#> initial value 998.131940
+#> iter 2 value 842.752952
+#> iter 3 value 833.218933
+#> iter 4 value 831.692715
+#> iter 5 value 790.047163
+#> iter 6 value 781.982992
+#> iter 7 value 780.525025
+#> iter 8 value 780.495636
+#> iter 9 value 780.495581
+#> iter 9 value 780.495578
+#> iter 9 value 780.495578
+#> final value 780.495578
+#> converged
+#> This is Run number 225
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5534737 0.51978165 -1.103474 -12.080218 1
+#> 2 1 -0.95 -2.35 2.2873416 0.72168668 1.337342 -1.628313 1
+#> 3 1 -6.20 -2.30 2.7367478 0.46097836 -3.463252 -1.839022 2
+#> 4 1 -13.90 -2.55 2.6558252 -0.38613520 -11.244175 -2.936135 2
+#> 5 1 -14.40 -5.80 3.9567387 -0.21961638 -10.443261 -6.019616 2
+#> 6 1 -3.60 -1.70 2.2565819 -0.01522072 -1.343418 -1.715221 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -38975 8025
+#> initial value 998.131940
+#> iter 2 value 804.001710
+#> iter 3 value 788.334758
+#> iter 4 value 787.279503
+#> iter 5 value 751.775799
+#> iter 6 value 743.269799
+#> iter 7 value 742.099602
+#> iter 8 value 742.080249
+#> iter 9 value 742.080228
+#> iter 9 value 742.080220
+#> iter 9 value 742.080216
+#> final value 742.080216
+#> converged
+#> This is Run number 226
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.7441052 0.2947034 1.194105 -12.30529658 1
+#> 2 1 -0.95 -2.35 -0.7036946 -1.5217352 -1.653695 -3.87173525 1
+#> 3 1 -6.20 -2.30 0.6120319 1.3815294 -5.587968 -0.91847058 2
+#> 4 1 -13.90 -2.55 0.9700783 2.5828218 -12.929922 0.03282182 2
+#> 5 1 -14.40 -5.80 0.2687309 2.1144806 -14.131269 -3.68551941 2
+#> 6 1 -3.60 -1.70 -1.2389821 0.4902838 -4.838982 -1.20971616 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7160 -38425 5725
+#> initial value 998.131940
+#> iter 2 value 823.668463
+#> iter 3 value 816.850808
+#> iter 4 value 816.408532
+#> iter 5 value 778.669920
+#> iter 6 value 770.251297
+#> iter 7 value 768.484599
+#> iter 8 value 768.439764
+#> iter 9 value 768.439627
+#> iter 10 value 768.439613
+#> iter 10 value 768.439609
+#> iter 10 value 768.439606
+#> final value 768.439606
+#> converged
+#> This is Run number 227
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 3.4441583 2.6284613 2.894158 -9.9715387 1
+#> 2 1 -0.95 -2.35 -1.0597370 0.4807928 -2.009737 -1.8692072 2
+#> 3 1 -6.20 -2.30 0.2773811 2.1961445 -5.922619 -0.1038555 2
+#> 4 1 -13.90 -2.55 -0.8482658 1.0370210 -14.748266 -1.5129790 2
+#> 5 1 -14.40 -5.80 0.1758028 -0.3642346 -14.224197 -6.1642346 2
+#> 6 1 -3.60 -1.70 1.4461426 0.4603274 -2.153857 -1.2396726 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6220 -36625 5775
+#> initial value 998.131940
+#> iter 2 value 849.049071
+#> iter 3 value 841.696413
+#> iter 4 value 840.394412
+#> iter 5 value 798.144243
+#> iter 6 value 790.213110
+#> iter 7 value 788.605465
+#> iter 8 value 788.571698
+#> iter 9 value 788.571618
+#> iter 9 value 788.571608
+#> iter 9 value 788.571604
+#> final value 788.571604
+#> converged
+#> This is Run number 228
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.0447475 -0.40380582 -0.5052525 -13.0038058 1
+#> 2 1 -0.95 -2.35 3.5619603 1.67717616 2.6119603 -0.6728238 1
+#> 3 1 -6.20 -2.30 0.7238402 3.03673666 -5.4761598 0.7367367 2
+#> 4 1 -13.90 -2.55 0.7806459 -0.08152807 -13.1193541 -2.6315281 2
+#> 5 1 -14.40 -5.80 0.9494378 1.00268280 -13.4505622 -4.7973172 2
+#> 6 1 -3.60 -1.70 -0.5529688 0.98569664 -4.1529688 -0.7143034 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5500 -36900 7075
+#> initial value 998.131940
+#> iter 2 value 839.113520
+#> iter 3 value 826.637404
+#> iter 4 value 824.257472
+#> iter 5 value 782.968090
+#> iter 6 value 774.862478
+#> iter 7 value 773.525022
+#> iter 8 value 773.500427
+#> iter 9 value 773.500393
+#> iter 9 value 773.500383
+#> iter 9 value 773.500378
+#> final value 773.500378
+#> converged
+#> This is Run number 229
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.9852670 2.5355131 1.4352670 -10.0644869 1
+#> 2 1 -0.95 -2.35 1.1320253 1.9968171 0.1820253 -0.3531829 1
+#> 3 1 -6.20 -2.30 -0.6673611 -1.0597203 -6.8673611 -3.3597203 2
+#> 4 1 -13.90 -2.55 1.0495013 1.3418826 -12.8504987 -1.2081174 2
+#> 5 1 -14.40 -5.80 -0.8831389 0.1121219 -15.2831389 -5.6878781 2
+#> 6 1 -3.60 -1.70 1.0609421 2.1497227 -2.5390579 0.4497227 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6120 -37525 7850
+#> initial value 998.131940
+#> iter 2 value 825.892580
+#> iter 3 value 813.272609
+#> iter 4 value 812.660445
+#> iter 5 value 772.686939
+#> iter 6 value 764.388726
+#> iter 7 value 763.125869
+#> iter 8 value 763.104057
+#> iter 9 value 763.104028
+#> iter 9 value 763.104020
+#> iter 9 value 763.104012
+#> final value 763.104012
+#> converged
+#> This is Run number 230
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.03255199 2.7785120 -0.517448 -9.8214880 1
+#> 2 1 -0.95 -2.35 2.77938134 1.2514665 1.829381 -1.0985335 1
+#> 3 1 -6.20 -2.30 -0.21063749 -0.5963459 -6.410637 -2.8963459 2
+#> 4 1 -13.90 -2.55 1.91723859 3.5261275 -11.982761 0.9761275 2
+#> 5 1 -14.40 -5.80 0.72171373 0.8986288 -13.678286 -4.9013712 2
+#> 6 1 -3.60 -1.70 0.61462267 0.4009530 -2.985377 -1.2990470 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5860 -38025 8150
+#> initial value 998.131940
+#> iter 2 value 817.132946
+#> iter 3 value 801.813499
+#> iter 4 value 800.504616
+#> iter 5 value 762.214966
+#> iter 6 value 753.869159
+#> iter 7 value 752.672882
+#> iter 8 value 752.654045
+#> iter 9 value 752.654027
+#> iter 9 value 752.654020
+#> iter 9 value 752.654016
+#> final value 752.654016
+#> converged
+#> This is Run number 231
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.73531656 -1.530465749 -1.285317 -14.1304657 1
+#> 2 1 -0.95 -2.35 -0.48852775 2.150363214 -1.438528 -0.1996368 2
+#> 3 1 -6.20 -2.30 0.10929049 -0.962438246 -6.090710 -3.2624382 2
+#> 4 1 -13.90 -2.55 0.11701363 -1.239015260 -13.782986 -3.7890153 2
+#> 5 1 -14.40 -5.80 -0.35429037 0.002149594 -14.754290 -5.7978504 2
+#> 6 1 -3.60 -1.70 -0.05224961 2.132736925 -3.652250 0.4327369 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -39450 7575
+#> initial value 998.131940
+#> iter 2 value 799.503982
+#> iter 3 value 784.965112
+#> iter 4 value 783.844908
+#> iter 5 value 749.690918
+#> iter 6 value 741.080205
+#> iter 7 value 739.869311
+#> iter 8 value 739.846278
+#> iter 9 value 739.846252
+#> iter 9 value 739.846244
+#> iter 9 value 739.846243
+#> final value 739.846243
+#> converged
+#> This is Run number 232
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.8773840 -0.03556040 -1.4273840 -12.6355604 1
+#> 2 1 -0.95 -2.35 1.5218759 3.73471566 0.5718759 1.3847157 2
+#> 3 1 -6.20 -2.30 -0.7278281 -0.01909818 -6.9278281 -2.3190982 2
+#> 4 1 -13.90 -2.55 1.0088512 0.66409343 -12.8911488 -1.8859066 2
+#> 5 1 -14.40 -5.80 3.3750571 0.66021795 -11.0249429 -5.1397820 2
+#> 6 1 -3.60 -1.70 0.3978376 1.34839978 -3.2021624 -0.3516002 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6260 -38800 6175
+#> initial value 998.131940
+#> iter 2 value 817.016408
+#> iter 3 value 805.408360
+#> iter 4 value 802.782092
+#> iter 5 value 766.891990
+#> iter 6 value 758.309422
+#> iter 7 value 756.814807
+#> iter 8 value 756.779226
+#> iter 9 value 756.779148
+#> iter 9 value 756.779137
+#> iter 9 value 756.779131
+#> final value 756.779131
+#> converged
+#> This is Run number 233
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.48119914 0.7116074 -1.031199 -11.8883926 1
+#> 2 1 -0.95 -2.35 -0.44626121 0.1265621 -1.396261 -2.2234379 1
+#> 3 1 -6.20 -2.30 0.08820424 0.6102511 -6.111796 -1.6897489 2
+#> 4 1 -13.90 -2.55 0.58974194 -1.2617690 -13.310258 -3.8117690 2
+#> 5 1 -14.40 -5.80 -0.15078747 4.0017594 -14.550787 -1.7982406 2
+#> 6 1 -3.60 -1.70 2.03602961 1.5876173 -1.563970 -0.1123827 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -39025 6975
+#> initial value 998.131940
+#> iter 2 value 809.472073
+#> iter 3 value 796.658382
+#> iter 4 value 794.968249
+#> iter 5 value 759.567558
+#> iter 6 value 750.973226
+#> iter 7 value 749.635459
+#> iter 8 value 749.606661
+#> iter 9 value 749.606616
+#> iter 10 value 749.606605
+#> iter 10 value 749.606597
+#> iter 10 value 749.606591
+#> final value 749.606591
+#> converged
+#> This is Run number 234
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.20312965 -0.4369401 -0.7531296 -13.036940 1
+#> 2 1 -0.95 -2.35 1.58038645 -0.5655113 0.6303864 -2.915511 1
+#> 3 1 -6.20 -2.30 0.68258610 -0.3409222 -5.5174139 -2.640922 2
+#> 4 1 -13.90 -2.55 1.08750589 -0.4550891 -12.8124941 -3.005089 2
+#> 5 1 -14.40 -5.80 -0.09852209 -1.1345732 -14.4985221 -6.934573 2
+#> 6 1 -3.60 -1.70 -0.64938331 -1.0224924 -4.2493833 -2.722492 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6620 -40700 6375
+#> initial value 998.131940
+#> iter 2 value 786.396879
+#> iter 3 value 772.502015
+#> iter 4 value 769.353571
+#> iter 5 value 739.332176
+#> iter 6 value 730.547941
+#> iter 7 value 729.276095
+#> iter 8 value 729.245000
+#> iter 9 value 729.244945
+#> iter 9 value 729.244939
+#> iter 9 value 729.244933
+#> final value 729.244933
+#> converged
+#> This is Run number 235
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.80982266 1.4263786 -1.3598227 -11.173621 1
+#> 2 1 -0.95 -2.35 1.27694536 0.9225383 0.3269454 -1.427462 1
+#> 3 1 -6.20 -2.30 2.98622402 -0.3988181 -3.2137760 -2.698818 2
+#> 4 1 -13.90 -2.55 -0.36101653 0.3252803 -14.2610165 -2.224720 2
+#> 5 1 -14.40 -5.80 -0.07688913 0.3382052 -14.4768891 -5.461795 2
+#> 6 1 -3.60 -1.70 -0.33120811 0.2577318 -3.9312081 -1.442268 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5980 -38925 7200
+#> initial value 998.131940
+#> iter 2 value 809.888783
+#> iter 3 value 794.990142
+#> iter 4 value 792.372727
+#> iter 5 value 757.001830
+#> iter 6 value 748.455523
+#> iter 7 value 747.182970
+#> iter 8 value 747.157635
+#> iter 9 value 747.157605
+#> iter 9 value 747.157596
+#> iter 9 value 747.157591
+#> final value 747.157591
+#> converged
+#> This is Run number 236
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.7965914 -0.04870332 1.246591 -12.6487033 1
+#> 2 1 -0.95 -2.35 -0.3530705 -0.35677258 -1.303071 -2.7067726 1
+#> 3 1 -6.20 -2.30 0.6195920 -0.69061997 -5.580408 -2.9906200 2
+#> 4 1 -13.90 -2.55 0.6252621 1.19040595 -13.274738 -1.3595940 2
+#> 5 1 -14.40 -5.80 0.5936413 -0.27481174 -13.806359 -6.0748117 2
+#> 6 1 -3.60 -1.70 -0.5563107 2.55929414 -4.156311 0.8592941 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5900 -38250 7375
+#> initial value 998.131940
+#> iter 2 value 818.729364
+#> iter 3 value 804.677775
+#> iter 4 value 802.616641
+#> iter 5 value 765.113626
+#> iter 6 value 756.689200
+#> iter 7 value 755.400449
+#> iter 8 value 755.375906
+#> iter 9 value 755.375875
+#> iter 9 value 755.375865
+#> iter 9 value 755.375859
+#> final value 755.375859
+#> converged
+#> This is Run number 237
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.00448599 0.5773295 -1.554486 -12.02267052 1
+#> 2 1 -0.95 -2.35 -1.05295748 2.4025245 -2.002957 0.05252447 2
+#> 3 1 -6.20 -2.30 -0.17379317 4.6904100 -6.373793 2.39041002 2
+#> 4 1 -13.90 -2.55 0.08746244 -0.7566977 -13.812538 -3.30669772 2
+#> 5 1 -14.40 -5.80 0.30851843 1.6665333 -14.091482 -4.13346667 2
+#> 6 1 -3.60 -1.70 0.53126972 0.2393648 -3.068730 -1.46063515 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -39125 7100
+#> initial value 998.131940
+#> iter 2 value 807.356921
+#> iter 3 value 793.531199
+#> iter 4 value 791.502450
+#> iter 5 value 756.531381
+#> iter 6 value 747.937458
+#> iter 7 value 746.641842
+#> iter 8 value 746.614866
+#> iter 9 value 746.614830
+#> iter 9 value 746.614820
+#> iter 9 value 746.614814
+#> final value 746.614814
+#> converged
+#> This is Run number 238
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.8405225 1.2268711 0.2905225 -11.3731289 1
+#> 2 1 -0.95 -2.35 -0.1030576 0.2193215 -1.0530576 -2.1306785 1
+#> 3 1 -6.20 -2.30 0.6144532 1.3732119 -5.5855468 -0.9267881 2
+#> 4 1 -13.90 -2.55 -0.2888606 -0.9605566 -14.1888606 -3.5105566 2
+#> 5 1 -14.40 -5.80 0.2597323 2.3425253 -14.1402677 -3.4574747 2
+#> 6 1 -3.60 -1.70 -0.6243951 0.1923333 -4.2243951 -1.5076667 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6260 -38050 6900
+#> initial value 998.131940
+#> iter 2 value 824.087932
+#> iter 3 value 812.903341
+#> iter 4 value 811.618463
+#> iter 5 value 773.234850
+#> iter 6 value 764.827717
+#> iter 7 value 763.423150
+#> iter 8 value 763.393480
+#> iter 9 value 763.393428
+#> iter 10 value 763.393414
+#> iter 10 value 763.393404
+#> iter 10 value 763.393400
+#> final value 763.393400
+#> converged
+#> This is Run number 239
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 3.1772484 0.2126690 2.6272484 -12.387331 1
+#> 2 1 -0.95 -2.35 0.0816046 0.2679445 -0.8683954 -2.082055 1
+#> 3 1 -6.20 -2.30 -0.2190574 0.3126964 -6.4190574 -1.987304 2
+#> 4 1 -13.90 -2.55 0.9748933 1.1207130 -12.9251067 -1.429287 2
+#> 5 1 -14.40 -5.80 2.5001654 0.1922016 -11.8998346 -5.607798 2
+#> 6 1 -3.60 -1.70 0.2016867 -0.2987466 -3.3983133 -1.998747 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6560 -39400 6925
+#> initial value 998.131940
+#> iter 2 value 803.957698
+#> iter 3 value 791.377019
+#> iter 4 value 789.925105
+#> iter 5 value 755.555420
+#> iter 6 value 746.898259
+#> iter 7 value 745.564684
+#> iter 8 value 745.535133
+#> iter 9 value 745.535085
+#> iter 10 value 745.535074
+#> iter 10 value 745.535065
+#> iter 10 value 745.535060
+#> final value 745.535060
+#> converged
+#> This is Run number 240
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 5.0093042 1.02414952 4.459304 -11.57585048 1
+#> 2 1 -0.95 -2.35 3.3717477 0.58398147 2.421748 -1.76601853 1
+#> 3 1 -6.20 -2.30 -0.5433670 2.35125957 -6.743367 0.05125957 2
+#> 4 1 -13.90 -2.55 0.4631510 0.70165006 -13.436849 -1.84834994 2
+#> 5 1 -14.40 -5.80 0.4880912 0.03061548 -13.911909 -5.76938452 2
+#> 6 1 -3.60 -1.70 1.9404469 0.27519715 -1.659553 -1.42480285 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6700 -38775 7350
+#> initial value 998.131940
+#> iter 2 value 810.726593
+#> iter 3 value 798.730358
+#> iter 4 value 798.302582
+#> iter 5 value 761.871486
+#> iter 6 value 753.298017
+#> iter 7 value 751.974126
+#> iter 8 value 751.946825
+#> iter 9 value 751.946781
+#> iter 10 value 751.946766
+#> iter 10 value 751.946757
+#> iter 10 value 751.946749
+#> final value 751.946749
+#> converged
+#> This is Run number 241
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.31016368 0.8647829 -0.8601637 -11.7352171 1
+#> 2 1 -0.95 -2.35 1.11268413 3.9797480 0.1626841 1.6297480 2
+#> 3 1 -6.20 -2.30 0.35103620 0.9718929 -5.8489638 -1.3281071 2
+#> 4 1 -13.90 -2.55 -0.52632554 -0.3870442 -14.4263255 -2.9370442 2
+#> 5 1 -14.40 -5.80 -0.01124584 -0.2165955 -14.4112458 -6.0165955 2
+#> 6 1 -3.60 -1.70 -0.87348806 1.3790042 -4.4734881 -0.3209958 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6720 -40375 6750
+#> initial value 998.131940
+#> iter 2 value 789.591202
+#> iter 3 value 776.204988
+#> iter 4 value 774.224881
+#> iter 5 value 742.933012
+#> iter 6 value 734.183495
+#> iter 7 value 732.917333
+#> iter 8 value 732.888181
+#> iter 9 value 732.888137
+#> iter 9 value 732.888137
+#> iter 9 value 732.888137
+#> final value 732.888137
+#> converged
+#> This is Run number 242
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.6494390 1.54342819 0.09943900 -11.0565718 1
+#> 2 1 -0.95 -2.35 1.0192253 0.08960209 0.06922532 -2.2603979 1
+#> 3 1 -6.20 -2.30 -0.3140770 2.96674827 -6.51407703 0.6667483 2
+#> 4 1 -13.90 -2.55 -0.3208263 2.28910240 -14.22082633 -0.2608976 2
+#> 5 1 -14.40 -5.80 1.5841395 -0.17950177 -12.81586051 -5.9795018 2
+#> 6 1 -3.60 -1.70 0.5659185 -0.62849461 -3.03408154 -2.3284946 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -37400 6400
+#> initial value 998.131940
+#> iter 2 value 835.178170
+#> iter 3 value 827.635495
+#> iter 4 value 827.446241
+#> iter 5 value 786.873888
+#> iter 6 value 778.675208
+#> iter 7 value 777.085423
+#> iter 8 value 777.049741
+#> iter 9 value 777.049650
+#> iter 10 value 777.049634
+#> iter 10 value 777.049625
+#> iter 10 value 777.049616
+#> final value 777.049616
+#> converged
+#> This is Run number 243
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.4805062 3.0838861 1.93050618 -9.516114 1
+#> 2 1 -0.95 -2.35 1.0495383 -0.1520628 0.09953833 -2.502063 1
+#> 3 1 -6.20 -2.30 1.9789513 -0.7203178 -4.22104871 -3.020318 2
+#> 4 1 -13.90 -2.55 0.8635060 0.1326368 -13.03649397 -2.417363 2
+#> 5 1 -14.40 -5.80 0.2057064 2.3673315 -14.19429357 -3.432668 2
+#> 6 1 -3.60 -1.70 0.3295832 -0.4042369 -3.27041683 -2.104237 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6400 -38850 6225
+#> initial value 998.131940
+#> iter 2 value 815.947555
+#> iter 3 value 804.900656
+#> iter 4 value 802.724024
+#> iter 5 value 766.852562
+#> iter 6 value 758.269569
+#> iter 7 value 756.768084
+#> iter 8 value 756.732173
+#> iter 9 value 756.732095
+#> iter 9 value 756.732084
+#> iter 9 value 756.732078
+#> final value 756.732078
+#> converged
+#> This is Run number 244
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.655043227 1.22161720 0.1050432 -11.3783828 1
+#> 2 1 -0.95 -2.35 -0.002454318 -0.24362416 -0.9524543 -2.5936242 1
+#> 3 1 -6.20 -2.30 -1.006912432 -0.09113768 -7.2069124 -2.3911377 2
+#> 4 1 -13.90 -2.55 -0.549814037 3.38010125 -14.4498140 0.8301013 2
+#> 5 1 -14.40 -5.80 1.731383699 1.19105735 -12.6686163 -4.6089427 2
+#> 6 1 -3.60 -1.70 -0.477807517 1.59538957 -4.0778075 -0.1046104 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6120 -38175 7600
+#> initial value 998.131940
+#> iter 2 value 818.360246
+#> iter 3 value 804.983630
+#> iter 4 value 803.822680
+#> iter 5 value 765.866144
+#> iter 6 value 757.446109
+#> iter 7 value 756.170251
+#> iter 8 value 756.146611
+#> iter 9 value 756.146580
+#> iter 9 value 756.146569
+#> iter 9 value 756.146563
+#> final value 756.146563
+#> converged
+#> This is Run number 245
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.8445037 0.4627549 2.294504 -12.1372451 1
+#> 2 1 -0.95 -2.35 -0.1232785 0.0791009 -1.073279 -2.2708991 1
+#> 3 1 -6.20 -2.30 0.5272793 -1.0085839 -5.672721 -3.3085839 2
+#> 4 1 -13.90 -2.55 1.9527666 -0.9632221 -11.947233 -3.5132221 2
+#> 5 1 -14.40 -5.80 0.9935716 2.0774481 -13.406428 -3.7225519 2
+#> 6 1 -3.60 -1.70 1.8113113 1.1359141 -1.788689 -0.5640859 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5860 -36750 6000
+#> initial value 998.131940
+#> iter 2 value 846.554042
+#> iter 3 value 837.205108
+#> iter 4 value 835.097604
+#> iter 5 value 793.376229
+#> iter 6 value 785.348486
+#> iter 7 value 783.819987
+#> iter 8 value 783.788448
+#> iter 9 value 783.788381
+#> iter 9 value 783.788372
+#> iter 9 value 783.788368
+#> final value 783.788368
+#> converged
+#> This is Run number 246
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.1947171 1.2179700 1.6447171 -11.3820300 1
+#> 2 1 -0.95 -2.35 1.2186088 1.7841259 0.2686088 -0.5658741 1
+#> 3 1 -6.20 -2.30 1.4122247 0.9045920 -4.7877753 -1.3954080 2
+#> 4 1 -13.90 -2.55 0.1791404 -0.5492948 -13.7208596 -3.0992948 2
+#> 5 1 -14.40 -5.80 1.6302392 1.9455393 -12.7697608 -3.8544607 2
+#> 6 1 -3.60 -1.70 -0.9766555 0.2611104 -4.5766555 -1.4388896 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6680 -38300 6525
+#> initial value 998.131940
+#> iter 2 value 822.181386
+#> iter 3 value 812.747373
+#> iter 4 value 811.998231
+#> iter 5 value 774.108233
+#> iter 6 value 765.647492
+#> iter 7 value 764.133339
+#> iter 8 value 764.098441
+#> iter 9 value 764.098363
+#> iter 10 value 764.098348
+#> iter 10 value 764.098338
+#> iter 10 value 764.098333
+#> final value 764.098333
+#> converged
+#> This is Run number 247
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.2088165 0.5931075 0.6588165 -12.006892 1
+#> 2 1 -0.95 -2.35 0.4808139 -1.0211328 -0.4691861 -3.371133 1
+#> 3 1 -6.20 -2.30 3.5088141 0.4158355 -2.6911859 -1.884164 2
+#> 4 1 -13.90 -2.55 0.8408609 -0.0235867 -13.0591391 -2.573587 2
+#> 5 1 -14.40 -5.80 -0.5046380 -0.7710901 -14.9046380 -6.571090 2
+#> 6 1 -3.60 -1.70 2.1141948 -0.7719867 -1.4858052 -2.471987 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6180 -38200 6125
+#> initial value 998.131940
+#> iter 2 value 825.987177
+#> iter 3 value 815.241085
+#> iter 4 value 812.885430
+#> iter 5 value 775.191752
+#> iter 6 value 766.746118
+#> iter 7 value 765.214787
+#> iter 8 value 765.179433
+#> iter 9 value 765.179354
+#> iter 9 value 765.179343
+#> iter 9 value 765.179338
+#> final value 765.179338
+#> converged
+#> This is Run number 248
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.02810859 -0.61540022 -0.5218914 -13.2154002 1
+#> 2 1 -0.95 -2.35 -1.27613975 0.54502206 -2.2261397 -1.8049779 2
+#> 3 1 -6.20 -2.30 0.14504544 0.40146568 -6.0549546 -1.8985343 2
+#> 4 1 -13.90 -2.55 2.08761878 0.05451075 -11.8123812 -2.4954893 2
+#> 5 1 -14.40 -5.80 1.33323333 0.58618945 -13.0667667 -5.2138106 2
+#> 6 1 -3.60 -1.70 0.42835266 2.52480226 -3.1716473 0.8248023 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6680 -40875 6800
+#> initial value 998.131940
+#> iter 2 value 781.280346
+#> iter 3 value 766.563653
+#> iter 4 value 763.997399
+#> iter 5 value 734.433159
+#> iter 6 value 725.700456
+#> iter 7 value 724.523136
+#> iter 8 value 724.496845
+#> iter 9 value 724.496813
+#> iter 9 value 724.496812
+#> iter 9 value 724.496812
+#> final value 724.496812
+#> converged
+#> This is Run number 249
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.6333742 -0.7362471 -2.1833742 -13.3362471 1
+#> 2 1 -0.95 -2.35 -0.7205674 0.5910431 -1.6705674 -1.7589569 1
+#> 3 1 -6.20 -2.30 0.4194497 3.6669410 -5.7805503 1.3669410 2
+#> 4 1 -13.90 -2.55 0.8342635 2.3644905 -13.0657365 -0.1855095 2
+#> 5 1 -14.40 -5.80 -0.4914265 0.7035326 -14.8914265 -5.0964674 2
+#> 6 1 -3.60 -1.70 4.4156025 1.8720871 0.8156025 0.1720871 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6200 -36725 6500
+#> initial value 998.131940
+#> iter 2 value 844.266208
+#> iter 3 value 835.862053
+#> iter 4 value 834.980809
+#> iter 5 value 792.810447
+#> iter 6 value 784.796024
+#> iter 7 value 783.312871
+#> iter 8 value 783.282686
+#> iter 9 value 783.282623
+#> iter 9 value 783.282619
+#> iter 9 value 783.282619
+#> final value 783.282619
+#> converged
+#> This is Run number 250
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.7381788 1.5872388 1.188179 -11.0127612 1
+#> 2 1 -0.95 -2.35 -0.7568609 2.6698661 -1.706861 0.3198661 2
+#> 3 1 -6.20 -2.30 2.1164821 0.8411596 -4.083518 -1.4588404 2
+#> 4 1 -13.90 -2.55 0.3853132 1.0538036 -13.514687 -1.4961964 2
+#> 5 1 -14.40 -5.80 0.5614486 -0.2464262 -13.838551 -6.0464262 2
+#> 6 1 -3.60 -1.70 -0.2661704 0.8739728 -3.866170 -0.8260272 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5760 -36625 6350
+#> initial value 998.131940
+#> iter 2 value 846.527470
+#> iter 3 value 836.680841
+#> iter 4 value 834.681412
+#> iter 5 value 792.580035
+#> iter 6 value 784.580769
+#> iter 7 value 783.124309
+#> iter 8 value 783.095515
+#> iter 9 value 783.095462
+#> iter 9 value 783.095461
+#> iter 9 value 783.095461
+#> final value 783.095461
+#> converged
+#> This is Run number 251
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.1561369 0.7081376 -1.7061369 -11.8918624 1
+#> 2 1 -0.95 -2.35 1.4298268 5.7933276 0.4798268 3.4433276 2
+#> 3 1 -6.20 -2.30 2.3851884 -0.8059106 -3.8148116 -3.1059106 2
+#> 4 1 -13.90 -2.55 -0.8106951 1.2064598 -14.7106951 -1.3435402 2
+#> 5 1 -14.40 -5.80 -0.8619319 1.3703933 -15.2619319 -4.4296067 2
+#> 6 1 -3.60 -1.70 0.4952075 2.3965973 -3.1047925 0.6965973 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6140 -38150 6675
+#> initial value 998.131940
+#> iter 2 value 823.951017
+#> iter 3 value 812.417941
+#> iter 4 value 810.512955
+#> iter 5 value 772.582669
+#> iter 6 value 764.152880
+#> iter 7 value 762.728128
+#> iter 8 value 762.697398
+#> iter 9 value 762.697342
+#> iter 9 value 762.697342
+#> iter 9 value 762.697342
+#> final value 762.697342
+#> converged
+#> This is Run number 252
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.5596742 0.55386934 2.009674 -12.0461307 1
+#> 2 1 -0.95 -2.35 -0.2015699 2.93604776 -1.151570 0.5860478 2
+#> 3 1 -6.20 -2.30 -0.1707201 -0.07179202 -6.370720 -2.3717920 2
+#> 4 1 -13.90 -2.55 -0.1397897 0.04092373 -14.039790 -2.5090763 2
+#> 5 1 -14.40 -5.80 -0.3211993 2.73792648 -14.721199 -3.0620735 2
+#> 6 1 -3.60 -1.70 0.3891829 1.58555717 -3.210817 -0.1144428 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6180 -39125 6675
+#> initial value 998.131940
+#> iter 2 value 809.707936
+#> iter 3 value 796.307177
+#> iter 4 value 793.614386
+#> iter 5 value 758.761945
+#> iter 6 value 750.140558
+#> iter 7 value 748.781748
+#> iter 8 value 748.751536
+#> iter 9 value 748.751486
+#> iter 9 value 748.751477
+#> iter 9 value 748.751472
+#> final value 748.751472
+#> converged
+#> This is Run number 253
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.6197171 0.999364053 -1.169717 -11.600636 1
+#> 2 1 -0.95 -2.35 1.1803660 0.557361371 0.230366 -1.792639 1
+#> 3 1 -6.20 -2.30 2.7702375 -0.938393045 -3.429762 -3.238393 2
+#> 4 1 -13.90 -2.55 -1.0333665 0.000621511 -14.933366 -2.549378 2
+#> 5 1 -14.40 -5.80 5.6772584 0.337473267 -8.722742 -5.462527 2
+#> 6 1 -3.60 -1.70 0.7180809 -1.523482153 -2.881919 -3.223482 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6700 -40025 7325
+#> initial value 998.131940
+#> iter 2 value 791.919262
+#> iter 3 value 777.766786
+#> iter 4 value 776.609688
+#> iter 5 value 744.145843
+#> iter 6 value 735.460709
+#> iter 7 value 734.252548
+#> iter 8 value 734.227952
+#> iter 9 value 734.227923
+#> iter 9 value 734.227913
+#> iter 9 value 734.227906
+#> final value 734.227906
+#> converged
+#> This is Run number 254
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 4.1904158 2.59241227 3.6404158 -10.0075877 1
+#> 2 1 -0.95 -2.35 0.6318071 2.14138571 -0.3181929 -0.2086143 2
+#> 3 1 -6.20 -2.30 -0.4486886 0.32046953 -6.6486886 -1.9795305 2
+#> 4 1 -13.90 -2.55 3.4114280 0.03430246 -10.4885720 -2.5156975 2
+#> 5 1 -14.40 -5.80 -0.7089325 2.62019631 -15.1089325 -3.1798037 2
+#> 6 1 -3.60 -1.70 6.6011162 -0.72163302 3.0011162 -2.4216330 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -38750 7500
+#> initial value 998.131940
+#> iter 2 value 810.634163
+#> iter 3 value 796.418401
+#> iter 4 value 794.857008
+#> iter 5 value 758.707181
+#> iter 6 value 750.192886
+#> iter 7 value 748.934718
+#> iter 8 value 748.910741
+#> iter 9 value 748.910713
+#> iter 9 value 748.910703
+#> iter 9 value 748.910696
+#> final value 748.910696
+#> converged
+#> This is Run number 255
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.4402523 -0.9887353 -0.1097477 -13.5887353 1
+#> 2 1 -0.95 -2.35 1.5494531 2.8822533 0.5994531 0.5322533 1
+#> 3 1 -6.20 -2.30 0.7975385 -0.4613180 -5.4024615 -2.7613180 2
+#> 4 1 -13.90 -2.55 0.8567760 -0.9043923 -13.0432240 -3.4543923 2
+#> 5 1 -14.40 -5.80 0.2642116 -0.6270664 -14.1357884 -6.4270664 2
+#> 6 1 -3.60 -1.70 0.4927658 1.8388325 -3.1072342 0.1388325 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6660 -39125 6500
+#> initial value 998.131940
+#> iter 2 value 810.270795
+#> iter 3 value 799.443926
+#> iter 4 value 798.081893
+#> iter 5 value 762.782520
+#> iter 6 value 754.152172
+#> iter 7 value 752.695273
+#> iter 8 value 752.660657
+#> iter 9 value 752.660586
+#> iter 10 value 752.660574
+#> iter 10 value 752.660567
+#> iter 10 value 752.660561
+#> final value 752.660561
+#> converged
+#> This is Run number 256
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.2436453 1.18896074 -0.7936453 -11.411039 1
+#> 2 1 -0.95 -2.35 2.2454091 -0.11922326 1.2954091 -2.469223 1
+#> 3 1 -6.20 -2.30 -0.2637810 0.42521340 -6.4637810 -1.874787 2
+#> 4 1 -13.90 -2.55 -0.5819784 2.42218098 -14.4819784 -0.127819 2
+#> 5 1 -14.40 -5.80 4.0508737 -0.01946365 -10.3491263 -5.819464 2
+#> 6 1 -3.60 -1.70 1.3757228 2.77810478 -2.2242772 1.078105 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6100 -40625 8150
+#> initial value 998.131940
+#> iter 2 value 777.662101
+#> iter 3 value 757.006316
+#> iter 4 value 754.138877
+#> iter 5 value 724.325319
+#> iter 6 value 715.943653
+#> iter 7 value 714.935922
+#> iter 8 value 714.920615
+#> iter 9 value 714.920604
+#> iter 9 value 714.920598
+#> iter 9 value 714.920598
+#> final value 714.920598
+#> converged
+#> This is Run number 257
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.27071338 -0.3540568 0.7207134 -12.9540568 1
+#> 2 1 -0.95 -2.35 0.07494138 0.4708555 -0.8750586 -1.8791445 1
+#> 3 1 -6.20 -2.30 1.49787382 1.5970045 -4.7021262 -0.7029955 2
+#> 4 1 -13.90 -2.55 0.04792892 -0.3201371 -13.8520711 -2.8701371 2
+#> 5 1 -14.40 -5.80 0.50897854 0.7292844 -13.8910215 -5.0707156 2
+#> 6 1 -3.60 -1.70 0.36966777 -0.3580409 -3.2303322 -2.0580409 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7040 -39325 6300
+#> initial value 998.131940
+#> iter 2 value 807.854068
+#> iter 3 value 798.454167
+#> iter 4 value 797.719068
+#> iter 5 value 762.759881
+#> iter 6 value 754.095581
+#> iter 7 value 752.556624
+#> iter 8 value 752.517842
+#> iter 9 value 752.517749
+#> iter 10 value 752.517734
+#> iter 10 value 752.517727
+#> iter 10 value 752.517720
+#> final value 752.517720
+#> converged
+#> This is Run number 258
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.33196803 2.0588522 -0.2180320 -10.541148 1
+#> 2 1 -0.95 -2.35 0.12840013 -0.2039175 -0.8215999 -2.553917 1
+#> 3 1 -6.20 -2.30 -0.08936058 0.1248208 -6.2893606 -2.175179 2
+#> 4 1 -13.90 -2.55 0.89975357 0.4167752 -13.0002464 -2.133225 2
+#> 5 1 -14.40 -5.80 -0.44046379 -0.2346377 -14.8404638 -6.034638 2
+#> 6 1 -3.60 -1.70 0.52815807 0.3637958 -3.0718419 -1.336204 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6040 -38150 6875
+#> initial value 998.131940
+#> iter 2 value 822.927788
+#> iter 3 value 810.617600
+#> iter 4 value 808.600803
+#> iter 5 value 770.726039
+#> iter 6 value 762.298998
+#> iter 7 value 760.918630
+#> iter 8 value 760.889857
+#> iter 9 value 760.889811
+#> iter 9 value 760.889800
+#> iter 9 value 760.889794
+#> final value 760.889794
+#> converged
+#> This is Run number 259
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.8780564 2.20764333 -1.428056 -10.392357 1
+#> 2 1 -0.95 -2.35 1.4397950 -1.50001471 0.489795 -3.850015 1
+#> 3 1 -6.20 -2.30 -0.2169486 -0.91174839 -6.416949 -3.211748 2
+#> 4 1 -13.90 -2.55 -0.1822472 -0.09998267 -14.082247 -2.649983 2
+#> 5 1 -14.40 -5.80 0.6001515 -0.08210979 -13.799849 -5.882110 2
+#> 6 1 -3.60 -1.70 1.7128590 -1.49172820 -1.887141 -3.191728 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -40025 7825
+#> initial value 998.131940
+#> iter 2 value 789.078234
+#> iter 3 value 772.664622
+#> iter 4 value 771.347166
+#> iter 5 value 739.089936
+#> iter 6 value 730.502929
+#> iter 7 value 729.385127
+#> iter 8 value 729.365821
+#> iter 9 value 729.365800
+#> iter 9 value 729.365792
+#> iter 9 value 729.365786
+#> final value 729.365786
+#> converged
+#> This is Run number 260
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.2026689 -0.2758724 0.6526689 -12.8758724 1
+#> 2 1 -0.95 -2.35 -1.5887154 3.0894023 -2.5387154 0.7394023 2
+#> 3 1 -6.20 -2.30 1.0129490 -0.3665425 -5.1870510 -2.6665425 2
+#> 4 1 -13.90 -2.55 2.8700788 0.7383350 -11.0299212 -1.8116650 2
+#> 5 1 -14.40 -5.80 3.1028744 -0.5085462 -11.2971256 -6.3085462 2
+#> 6 1 -3.60 -1.70 0.0027649 0.4068498 -3.5972351 -1.2931502 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5680 -37750 7200
+#> initial value 998.131940
+#> iter 2 value 826.843666
+#> iter 3 value 813.126525
+#> iter 4 value 810.641819
+#> iter 5 value 771.784682
+#> iter 6 value 763.460592
+#> iter 7 value 762.142673
+#> iter 8 value 762.117632
+#> iter 9 value 762.117600
+#> iter 9 value 762.117590
+#> iter 9 value 762.117585
+#> final value 762.117585
+#> converged
+#> This is Run number 261
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.03938052 1.1927672 -0.5893805 -11.4072328 1
+#> 2 1 -0.95 -2.35 3.13432496 0.2028294 2.1843250 -2.1471706 1
+#> 3 1 -6.20 -2.30 -0.42791980 0.1915672 -6.6279198 -2.1084328 2
+#> 4 1 -13.90 -2.55 2.85895386 -0.5962267 -11.0410461 -3.1462267 2
+#> 5 1 -14.40 -5.80 -0.93648301 -1.1104720 -15.3364830 -6.9104720 2
+#> 6 1 -3.60 -1.70 0.08913710 1.0899383 -3.5108629 -0.6100617 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5360 -37550 7425
+#> initial value 998.131940
+#> iter 2 value 828.307070
+#> iter 3 value 812.975935
+#> iter 4 value 809.816103
+#> iter 5 value 770.574733
+#> iter 6 value 762.307716
+#> iter 7 value 761.032284
+#> iter 8 value 761.009774
+#> iter 9 value 761.009751
+#> iter 9 value 761.009742
+#> iter 9 value 761.009738
+#> final value 761.009738
+#> converged
+#> This is Run number 262
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.1425067 -1.4406223 -0.4074933 -14.04062235 1
+#> 2 1 -0.95 -2.35 0.1678418 1.3499121 -0.7821582 -1.00008795 1
+#> 3 1 -6.20 -2.30 -0.1230280 -0.6759555 -6.3230280 -2.97595551 2
+#> 4 1 -13.90 -2.55 2.4721228 2.4826997 -11.4278772 -0.06730028 2
+#> 5 1 -14.40 -5.80 0.5183590 -0.4281362 -13.8816410 -6.22813621 2
+#> 6 1 -3.60 -1.70 -0.4999486 1.1265143 -4.0999486 -0.57348566 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -38925 7800
+#> initial value 998.131940
+#> iter 2 value 806.010915
+#> iter 3 value 791.830837
+#> iter 4 value 791.153079
+#> iter 5 value 755.342687
+#> iter 6 value 746.791024
+#> iter 7 value 745.574160
+#> iter 8 value 745.552279
+#> iter 8 value 745.552272
+#> final value 745.552272
+#> converged
+#> This is Run number 263
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.6377269 -0.50416279 0.08772691 -13.104163 1
+#> 2 1 -0.95 -2.35 -0.5738979 -0.01040989 -1.52389790 -2.360410 1
+#> 3 1 -6.20 -2.30 1.0005281 -0.16308516 -5.19947187 -2.463085 2
+#> 4 1 -13.90 -2.55 0.7276166 0.29187939 -13.17238336 -2.258121 2
+#> 5 1 -14.40 -5.80 2.3134102 3.51299710 -12.08658979 -2.287003 2
+#> 6 1 -3.60 -1.70 1.7366259 -0.12815988 -1.86337412 -1.828160 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5920 -37100 6550
+#> initial value 998.131940
+#> iter 2 value 839.187781
+#> iter 3 value 828.928431
+#> iter 4 value 827.146195
+#> iter 5 value 786.245981
+#> iter 6 value 778.098462
+#> iter 7 value 776.651350
+#> iter 8 value 776.621914
+#> iter 9 value 776.621860
+#> iter 9 value 776.621858
+#> iter 9 value 776.621858
+#> final value 776.621858
+#> converged
+#> This is Run number 264
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.6209664 0.6631102 0.07096643 -11.9368898 1
+#> 2 1 -0.95 -2.35 0.8757897 -1.5785130 -0.07421032 -3.9285130 1
+#> 3 1 -6.20 -2.30 -0.5101587 3.4580951 -6.71015870 1.1580951 2
+#> 4 1 -13.90 -2.55 -0.2240903 0.8752780 -14.12409029 -1.6747220 2
+#> 5 1 -14.40 -5.80 0.9276813 3.3713160 -13.47231873 -2.4286840 2
+#> 6 1 -3.60 -1.70 -0.1044358 1.1091605 -3.70443581 -0.5908395 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6020 -37825 7100
+#> initial value 998.131940
+#> iter 2 value 826.266903
+#> iter 3 value 814.185859
+#> iter 4 value 812.588821
+#> iter 5 value 773.680367
+#> iter 6 value 765.331249
+#> iter 7 value 763.973071
+#> iter 8 value 763.945951
+#> iter 9 value 763.945909
+#> iter 10 value 763.945897
+#> iter 10 value 763.945887
+#> iter 10 value 763.945885
+#> final value 763.945885
+#> converged
+#> This is Run number 265
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.2552601 -0.08744323 -0.8052601 -12.687443 1
+#> 2 1 -0.95 -2.35 -0.8589044 1.28768019 -1.8089044 -1.062320 2
+#> 3 1 -6.20 -2.30 0.9168319 0.22914383 -5.2831681 -2.070856 2
+#> 4 1 -13.90 -2.55 0.5863428 0.47770852 -13.3136572 -2.072291 2
+#> 5 1 -14.40 -5.80 -1.8810551 -0.27699357 -16.2810551 -6.076994 2
+#> 6 1 -3.60 -1.70 2.2326590 -0.95832001 -1.3673410 -2.658320 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6320 -38000 7000
+#> initial value 998.131940
+#> iter 2 value 824.199771
+#> iter 3 value 813.149956
+#> iter 4 value 812.129540
+#> iter 5 value 773.535088
+#> iter 6 value 765.136071
+#> iter 7 value 763.739798
+#> iter 8 value 763.710586
+#> iter 9 value 763.710534
+#> iter 10 value 763.710520
+#> iter 10 value 763.710509
+#> iter 10 value 763.710507
+#> final value 763.710507
+#> converged
+#> This is Run number 266
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.5521719 2.1162354 0.002171926 -10.483765 1
+#> 2 1 -0.95 -2.35 0.9513936 -0.7059960 0.001393558 -3.055996 1
+#> 3 1 -6.20 -2.30 1.0143771 1.0757955 -5.185622869 -1.224204 2
+#> 4 1 -13.90 -2.55 1.4865684 -0.3557861 -12.413431599 -2.905786 2
+#> 5 1 -14.40 -5.80 0.3326057 0.8715644 -14.067394292 -4.928436 2
+#> 6 1 -3.60 -1.70 -0.5109481 0.1392917 -4.110948112 -1.560708 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -37575 7950
+#> initial value 998.131940
+#> iter 2 value 824.547919
+#> iter 3 value 811.706234
+#> iter 4 value 811.198739
+#> iter 5 value 771.355225
+#> iter 6 value 763.040429
+#> iter 7 value 761.793135
+#> iter 8 value 761.772096
+#> iter 8 value 761.772095
+#> final value 761.772095
+#> converged
+#> This is Run number 267
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 3.6418425 1.1239771 3.09184245 -11.4760229 1
+#> 2 1 -0.95 -2.35 0.9290501 -0.5259110 -0.02094991 -2.8759110 1
+#> 3 1 -6.20 -2.30 1.8655929 1.3855948 -4.33440705 -0.9144052 2
+#> 4 1 -13.90 -2.55 0.6335735 4.4043032 -13.26642652 1.8543032 2
+#> 5 1 -14.40 -5.80 1.3032937 0.4693574 -13.09670632 -5.3306426 2
+#> 6 1 -3.60 -1.70 -1.5845678 3.6242659 -5.18456785 1.9242659 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7080 -38775 6875
+#> initial value 998.131940
+#> iter 2 value 812.963624
+#> iter 3 value 803.078116
+#> iter 4 value 802.940144
+#> iter 5 value 766.323858
+#> iter 6 value 757.748867
+#> iter 7 value 756.287536
+#> iter 8 value 756.253636
+#> iter 9 value 756.253561
+#> iter 10 value 756.253542
+#> iter 10 value 756.253533
+#> iter 10 value 756.253525
+#> final value 756.253525
+#> converged
+#> This is Run number 268
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.85863948 -0.4506675 1.3086395 -13.050668 1
+#> 2 1 -0.95 -2.35 0.04596431 -1.5868603 -0.9040357 -3.936860 1
+#> 3 1 -6.20 -2.30 -1.23894270 0.2192232 -7.4389427 -2.080777 2
+#> 4 1 -13.90 -2.55 -1.77185545 -0.4983418 -15.6718554 -3.048342 2
+#> 5 1 -14.40 -5.80 -0.40853453 0.2119774 -14.8085345 -5.588023 2
+#> 6 1 -3.60 -1.70 0.50957777 -0.4919903 -3.0904222 -2.191990 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -39725 5950
+#> initial value 998.131940
+#> iter 2 value 803.676913
+#> iter 3 value 793.477023
+#> iter 4 value 791.586709
+#> iter 5 value 758.173955
+#> iter 6 value 749.450544
+#> iter 7 value 747.901674
+#> iter 8 value 747.860808
+#> iter 9 value 747.860704
+#> iter 10 value 747.860691
+#> iter 10 value 747.860691
+#> iter 10 value 747.860685
+#> final value 747.860685
+#> converged
+#> This is Run number 269
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.7718741 -0.3199869 0.2218741 -12.9199869 1
+#> 2 1 -0.95 -2.35 -0.3593836 -0.6087115 -1.3093836 -2.9587115 1
+#> 3 1 -6.20 -2.30 -0.2082694 0.4688898 -6.4082694 -1.8311102 2
+#> 4 1 -13.90 -2.55 1.1035857 0.4758437 -12.7964143 -2.0741563 2
+#> 5 1 -14.40 -5.80 1.2532171 2.1069011 -13.1467829 -3.6930989 2
+#> 6 1 -3.60 -1.70 0.1925566 1.2763763 -3.4074434 -0.4236237 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6400 -38225 6325
+#> initial value 998.131940
+#> iter 2 value 824.513406
+#> iter 3 value 814.505051
+#> iter 4 value 812.957506
+#> iter 5 value 775.096424
+#> iter 6 value 766.656763
+#> iter 7 value 765.137024
+#> iter 8 value 765.102162
+#> iter 9 value 765.102086
+#> iter 10 value 765.102074
+#> iter 10 value 765.102068
+#> iter 10 value 765.102064
+#> final value 765.102064
+#> converged
+#> This is Run number 270
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.60425824 0.3128764 1.0542582 -12.287124 1
+#> 2 1 -0.95 -2.35 0.07235627 3.5707550 -0.8776437 1.220755 2
+#> 3 1 -6.20 -2.30 0.96356455 -0.1455178 -5.2364354 -2.445518 2
+#> 4 1 -13.90 -2.55 1.17866977 0.7324385 -12.7213302 -1.817561 2
+#> 5 1 -14.40 -5.80 0.68413629 0.6136341 -13.7158637 -5.186366 2
+#> 6 1 -3.60 -1.70 -0.25629799 -0.1790901 -3.8562980 -1.879090 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6320 -38800 6125
+#> initial value 998.131940
+#> iter 2 value 817.221522
+#> iter 3 value 805.990434
+#> iter 4 value 803.505758
+#> iter 5 value 767.572377
+#> iter 6 value 758.993323
+#> iter 7 value 757.478627
+#> iter 8 value 757.442193
+#> iter 9 value 757.442111
+#> iter 9 value 757.442100
+#> iter 9 value 757.442094
+#> final value 757.442094
+#> converged
+#> This is Run number 271
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.3979533 -0.3033646 0.8479533 -12.9033646 1
+#> 2 1 -0.95 -2.35 1.2403548 -0.1480009 0.2903548 -2.4980009 1
+#> 3 1 -6.20 -2.30 0.0979576 -0.4825124 -6.1020424 -2.7825124 2
+#> 4 1 -13.90 -2.55 -0.5131946 2.7826686 -14.4131946 0.2326686 2
+#> 5 1 -14.40 -5.80 1.4826828 0.8766343 -12.9173172 -4.9233657 2
+#> 6 1 -3.60 -1.70 0.7357638 1.2998386 -2.8642362 -0.4001614 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6140 -38450 7975
+#> initial value 998.131940
+#> iter 2 value 812.070245
+#> iter 3 value 797.297561
+#> iter 4 value 796.294107
+#> iter 5 value 759.173788
+#> iter 6 value 750.725941
+#> iter 7 value 749.518966
+#> iter 8 value 749.498661
+#> iter 9 value 749.498644
+#> iter 9 value 749.498641
+#> iter 10 value 749.498626
+#> iter 10 value 749.498616
+#> iter 10 value 749.498614
+#> final value 749.498614
+#> converged
+#> This is Run number 272
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.2048856 0.7941502 -0.3451144 -11.8058498 1
+#> 2 1 -0.95 -2.35 1.4538246 1.3645683 0.5038246 -0.9854317 1
+#> 3 1 -6.20 -2.30 1.7738528 0.3578582 -4.4261472 -1.9421418 2
+#> 4 1 -13.90 -2.55 1.4193496 2.0273056 -12.4806504 -0.5226944 2
+#> 5 1 -14.40 -5.80 -0.4247481 3.9689190 -14.8247481 -1.8310810 2
+#> 6 1 -3.60 -1.70 4.8461607 -0.4444106 1.2461607 -2.1444106 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -38625 7300
+#> initial value 998.131940
+#> iter 2 value 813.436569
+#> iter 3 value 801.091505
+#> iter 4 value 800.236617
+#> iter 5 value 763.462989
+#> iter 6 value 754.932131
+#> iter 7 value 753.609375
+#> iter 8 value 753.582383
+#> iter 9 value 753.582341
+#> iter 10 value 753.582327
+#> iter 10 value 753.582318
+#> iter 10 value 753.582311
+#> final value 753.582311
+#> converged
+#> This is Run number 273
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.2631006 -0.4689069 -1.813101 -13.068907 1
+#> 2 1 -0.95 -2.35 -1.1052696 0.4636591 -2.055270 -1.886341 2
+#> 3 1 -6.20 -2.30 -0.4097308 -0.2536360 -6.609731 -2.553636 2
+#> 4 1 -13.90 -2.55 -0.7447861 4.4598698 -14.644786 1.909870 2
+#> 5 1 -14.40 -5.80 2.4652082 -0.6402120 -11.934792 -6.440212 2
+#> 6 1 -3.60 -1.70 -0.9450787 -0.2502349 -4.545079 -1.950235 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -36225 6400
+#> initial value 998.131940
+#> iter 2 value 850.892455
+#> iter 3 value 844.306361
+#> iter 4 value 844.158057
+#> iter 5 value 800.508369
+#> iter 6 value 792.693377
+#> iter 7 value 791.161015
+#> iter 8 value 791.129950
+#> iter 9 value 791.129874
+#> iter 9 value 791.129871
+#> iter 9 value 791.129871
+#> final value 791.129871
+#> converged
+#> This is Run number 274
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.77612950 -0.3865490 -1.3261295 -12.9865490 1
+#> 2 1 -0.95 -2.35 0.05689359 0.3934569 -0.8931064 -1.9565431 1
+#> 3 1 -6.20 -2.30 0.70066342 -0.8065447 -5.4993366 -3.1065447 2
+#> 4 1 -13.90 -2.55 -0.86424704 -1.6095553 -14.7642470 -4.1595553 2
+#> 5 1 -14.40 -5.80 1.63653758 1.2759479 -12.7634624 -4.5240521 2
+#> 6 1 -3.60 -1.70 1.39532466 2.5278723 -2.2046753 0.8278723 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -39600 7900
+#> initial value 998.131940
+#> iter 2 value 795.211057
+#> iter 3 value 779.397964
+#> iter 4 value 778.392022
+#> iter 5 value 744.756702
+#> iter 6 value 736.178833
+#> iter 7 value 735.032101
+#> iter 8 value 735.012473
+#> iter 9 value 735.012451
+#> iter 9 value 735.012444
+#> iter 9 value 735.012435
+#> final value 735.012435
+#> converged
+#> This is Run number 275
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.16437206 2.3694129 -0.3856279 -10.230587 1
+#> 2 1 -0.95 -2.35 0.07988825 -0.3717487 -0.8701117 -2.721749 1
+#> 3 1 -6.20 -2.30 0.26699233 -0.4774439 -5.9330077 -2.777444 2
+#> 4 1 -13.90 -2.55 1.86501522 -0.3565152 -12.0349848 -2.906515 2
+#> 5 1 -14.40 -5.80 -1.77503947 -0.3541150 -16.1750395 -6.154115 2
+#> 6 1 -3.60 -1.70 -1.63781093 -0.5333874 -5.2378109 -2.233387 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6940 -40675 8075
+#> initial value 998.131940
+#> iter 2 value 776.661939
+#> iter 3 value 759.798327
+#> iter 4 value 759.358912
+#> iter 5 value 728.963762
+#> iter 6 value 720.395247
+#> iter 7 value 719.362215
+#> iter 8 value 719.346455
+#> iter 9 value 719.346436
+#> iter 9 value 719.346435
+#> iter 9 value 719.346435
+#> final value 719.346435
+#> converged
+#> This is Run number 276
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.9293992 -0.2619156 0.3793992 -12.8619156 1
+#> 2 1 -0.95 -2.35 -1.4085752 -0.4011672 -2.3585752 -2.7511672 1
+#> 3 1 -6.20 -2.30 0.8568314 -0.6484953 -5.3431686 -2.9484953 2
+#> 4 1 -13.90 -2.55 -0.8541278 -0.6760779 -14.7541278 -3.2260779 2
+#> 5 1 -14.40 -5.80 1.8478614 3.4641571 -12.5521386 -2.3358429 2
+#> 6 1 -3.60 -1.70 2.4065746 1.1664569 -1.1934254 -0.5335431 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -39175 6475
+#> initial value 998.131940
+#> iter 2 value 809.508874
+#> iter 3 value 799.180322
+#> iter 4 value 798.126497
+#> iter 5 value 762.865888
+#> iter 6 value 754.225102
+#> iter 7 value 752.747693
+#> iter 8 value 752.712040
+#> iter 9 value 752.711963
+#> iter 10 value 752.711950
+#> iter 10 value 752.711942
+#> iter 10 value 752.711936
+#> final value 752.711936
+#> converged
+#> This is Run number 277
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.9055812 0.1417301 -1.455581 -12.4582699 1
+#> 2 1 -0.95 -2.35 1.9247040 -0.2951434 0.974704 -2.6451434 1
+#> 3 1 -6.20 -2.30 1.3158075 -1.4302361 -4.884192 -3.7302361 2
+#> 4 1 -13.90 -2.55 1.0070552 0.8472370 -12.892945 -1.7027630 2
+#> 5 1 -14.40 -5.80 -0.6332324 -0.7995667 -15.033232 -6.5995667 2
+#> 6 1 -3.60 -1.70 0.6365395 0.9161157 -2.963460 -0.7838843 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6120 -37225 6350
+#> initial value 998.131940
+#> iter 2 value 838.431526
+#> iter 3 value 829.040606
+#> iter 4 value 827.527501
+#> iter 5 value 786.886136
+#> iter 6 value 778.715630
+#> iter 7 value 777.212920
+#> iter 8 value 777.181141
+#> iter 9 value 777.181076
+#> iter 9 value 777.181074
+#> iter 9 value 777.181074
+#> final value 777.181074
+#> converged
+#> This is Run number 278
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.001524013 0.6411316 -0.5515240 -11.9588684 1
+#> 2 1 -0.95 -2.35 0.750347116 1.0546986 -0.1996529 -1.2953014 1
+#> 3 1 -6.20 -2.30 0.466137457 1.2934910 -5.7338625 -1.0065090 2
+#> 4 1 -13.90 -2.55 -0.556914859 1.0221688 -14.4569149 -1.5278312 2
+#> 5 1 -14.40 -5.80 0.531830013 2.6158880 -13.8681700 -3.1841120 2
+#> 6 1 -3.60 -1.70 0.340057256 2.2176824 -3.2599427 0.5176824 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6660 -39800 6675
+#> initial value 998.131940
+#> iter 2 value 799.085962
+#> iter 3 value 786.689506
+#> iter 4 value 784.952572
+#> iter 5 value 751.821650
+#> iter 6 value 743.104778
+#> iter 7 value 741.755967
+#> iter 8 value 741.724457
+#> iter 9 value 741.724402
+#> iter 9 value 741.724402
+#> iter 9 value 741.724402
+#> final value 741.724402
+#> converged
+#> This is Run number 279
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.7837237 1.5654851 2.233724 -11.0345149 1
+#> 2 1 -0.95 -2.35 -0.7079730 -0.2799493 -1.657973 -2.6299493 1
+#> 3 1 -6.20 -2.30 2.0591468 1.3507134 -4.140853 -0.9492866 2
+#> 4 1 -13.90 -2.55 -0.2930431 0.4137083 -14.193043 -2.1362917 2
+#> 5 1 -14.40 -5.80 0.6432261 2.3224831 -13.756774 -3.4775169 2
+#> 6 1 -3.60 -1.70 -1.0362391 0.1764486 -4.636239 -1.5235514 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6700 -38250 7300
+#> initial value 998.131940
+#> iter 2 value 818.607814
+#> iter 3 value 807.576347
+#> iter 4 value 807.320138
+#> iter 5 value 769.300237
+#> iter 6 value 760.820854
+#> iter 7 value 759.453848
+#> iter 8 value 759.425536
+#> iter 9 value 759.425485
+#> iter 10 value 759.425469
+#> iter 10 value 759.425460
+#> iter 10 value 759.425452
+#> final value 759.425452
+#> converged
+#> This is Run number 280
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.4847143 -0.9930409 -1.034714 -13.5930409 1
+#> 2 1 -0.95 -2.35 -1.3183224 0.3057531 -2.268322 -2.0442469 2
+#> 3 1 -6.20 -2.30 1.3990523 0.8340658 -4.800948 -1.4659342 2
+#> 4 1 -13.90 -2.55 2.1841161 -0.6417372 -11.715884 -3.1917372 2
+#> 5 1 -14.40 -5.80 1.5175532 -0.9624980 -12.882447 -6.7624980 2
+#> 6 1 -3.60 -1.70 0.2836440 1.9346242 -3.316356 0.2346242 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5980 -38650 7725
+#> initial value 998.131940
+#> iter 2 value 810.814263
+#> iter 3 value 795.516409
+#> iter 4 value 793.698524
+#> iter 5 value 757.372226
+#> iter 6 value 748.904535
+#> iter 7 value 747.681931
+#> iter 8 value 747.660163
+#> iter 9 value 747.660142
+#> iter 9 value 747.660134
+#> iter 9 value 747.660134
+#> final value 747.660134
+#> converged
+#> This is Run number 281
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.90509759 0.1638638 0.3550976 -12.436136228 1
+#> 2 1 -0.95 -2.35 -0.71653521 0.9526180 -1.6665352 -1.397382042 2
+#> 3 1 -6.20 -2.30 0.13383855 -0.8447082 -6.0661614 -3.144708183 2
+#> 4 1 -13.90 -2.55 -0.11044502 5.0615541 -14.0104450 2.511554103 2
+#> 5 1 -14.40 -5.80 -0.38939275 1.1222731 -14.7893928 -4.677726854 2
+#> 6 1 -3.60 -1.70 -0.06628418 1.7069123 -3.6662842 0.006912299 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6680 -38650 6825
+#> initial value 998.131940
+#> iter 2 value 815.542924
+#> iter 3 value 804.944413
+#> iter 4 value 804.212859
+#> iter 5 value 767.377801
+#> iter 6 value 758.831194
+#> iter 7 value 757.398925
+#> iter 8 value 757.366657
+#> iter 9 value 757.366593
+#> iter 10 value 757.366578
+#> iter 10 value 757.366568
+#> iter 10 value 757.366567
+#> final value 757.366567
+#> converged
+#> This is Run number 282
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.2013878 0.5743022 -0.3486122 -12.025698 1
+#> 2 1 -0.95 -2.35 1.2066503 0.4031522 0.2566503 -1.946848 1
+#> 3 1 -6.20 -2.30 -0.5835865 0.4178137 -6.7835865 -1.882186 2
+#> 4 1 -13.90 -2.55 4.6214791 -0.2441506 -9.2785209 -2.794151 2
+#> 5 1 -14.40 -5.80 1.0993522 0.5707295 -13.3006478 -5.229271 2
+#> 6 1 -3.60 -1.70 -0.4120859 0.1823609 -4.0120859 -1.517639 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6260 -38850 7175
+#> initial value 998.131940
+#> iter 2 value 811.005481
+#> iter 3 value 797.705430
+#> iter 4 value 796.054238
+#> iter 5 value 760.162451
+#> iter 6 value 751.608600
+#> iter 7 value 750.299799
+#> iter 8 value 750.272891
+#> iter 9 value 750.272853
+#> iter 10 value 750.272842
+#> iter 10 value 750.272833
+#> iter 10 value 750.272827
+#> final value 750.272827
+#> converged
+#> This is Run number 283
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.00819158 -1.13168941 0.4581916 -13.731689 1
+#> 2 1 -0.95 -2.35 0.42936756 4.24022332 -0.5206324 1.890223 2
+#> 3 1 -6.20 -2.30 -0.55317758 0.92729462 -6.7531776 -1.372705 2
+#> 4 1 -13.90 -2.55 1.10763434 -0.04370111 -12.7923657 -2.593701 2
+#> 5 1 -14.40 -5.80 -0.00558303 0.48576025 -14.4055830 -5.314240 2
+#> 6 1 -3.60 -1.70 0.25969910 4.65542024 -3.3403009 2.955420 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6280 -38475 6700
+#> initial value 998.131940
+#> iter 2 value 819.081953
+#> iter 3 value 807.501082
+#> iter 4 value 805.762303
+#> iter 5 value 768.718316
+#> iter 6 value 760.217025
+#> iter 7 value 758.798340
+#> iter 8 value 758.767109
+#> iter 9 value 758.767052
+#> iter 9 value 758.767052
+#> iter 9 value 758.767052
+#> final value 758.767052
+#> converged
+#> This is Run number 284
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.36788545 1.52636031 -0.9178854 -11.0736397 1
+#> 2 1 -0.95 -2.35 0.63709467 0.70875165 -0.3129053 -1.6412484 1
+#> 3 1 -6.20 -2.30 1.17739812 3.10833616 -5.0226019 0.8083362 2
+#> 4 1 -13.90 -2.55 -0.09264853 0.33344740 -13.9926485 -2.2165526 2
+#> 5 1 -14.40 -5.80 0.74080958 0.46590215 -13.6591904 -5.3340978 2
+#> 6 1 -3.60 -1.70 0.08153080 0.09503826 -3.5184692 -1.6049617 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -38725 6100
+#> initial value 998.131940
+#> iter 2 value 818.228753
+#> iter 3 value 808.503501
+#> iter 4 value 806.905439
+#> iter 5 value 770.473138
+#> iter 6 value 761.927271
+#> iter 7 value 760.358929
+#> iter 8 value 760.320643
+#> iter 9 value 760.320551
+#> iter 10 value 760.320539
+#> iter 10 value 760.320535
+#> iter 10 value 760.320530
+#> final value 760.320530
+#> converged
+#> This is Run number 285
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.6022371 -1.2033874 -1.1522371 -13.8033874 1
+#> 2 1 -0.95 -2.35 1.8182032 -0.5521168 0.8682032 -2.9021168 1
+#> 3 1 -6.20 -2.30 0.5816969 -0.4030901 -5.6183031 -2.7030901 2
+#> 4 1 -13.90 -2.55 -0.6125738 1.9198178 -14.5125738 -0.6301822 2
+#> 5 1 -14.40 -5.80 0.2860004 2.7830409 -14.1139996 -3.0169591 2
+#> 6 1 -3.60 -1.70 -0.3261783 -0.8303205 -3.9261783 -2.5303205 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -39500 7625
+#> initial value 998.131940
+#> iter 2 value 798.351681
+#> iter 3 value 783.950087
+#> iter 4 value 783.086683
+#> iter 5 value 749.024474
+#> iter 6 value 740.402224
+#> iter 7 value 739.197563
+#> iter 8 value 739.174837
+#> iter 9 value 739.174811
+#> iter 9 value 739.174804
+#> iter 9 value 739.174801
+#> final value 739.174801
+#> converged
+#> This is Run number 286
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.1905537 2.18196627 0.6405537 -10.4180337 1
+#> 2 1 -0.95 -2.35 0.5388286 -0.27934489 -0.4111714 -2.6293449 1
+#> 3 1 -6.20 -2.30 -0.2610999 0.26879412 -6.4610999 -2.0312059 2
+#> 4 1 -13.90 -2.55 0.9420888 -0.17029248 -12.9579112 -2.7202925 2
+#> 5 1 -14.40 -5.80 0.1548488 0.06150118 -14.2451512 -5.7384988 2
+#> 6 1 -3.60 -1.70 -0.1984917 0.95709282 -3.7984917 -0.7429072 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6180 -40400 7475
+#> initial value 998.131940
+#> iter 2 value 785.470845
+#> iter 3 value 767.570924
+#> iter 4 value 764.434163
+#> iter 5 value 733.773438
+#> iter 6 value 725.191845
+#> iter 7 value 724.092364
+#> iter 8 value 724.072099
+#> iter 9 value 724.072087
+#> iter 9 value 724.072083
+#> iter 9 value 724.072080
+#> final value 724.072080
+#> converged
+#> This is Run number 287
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.5076248 0.98609725 -0.04237522 -11.6139028 1
+#> 2 1 -0.95 -2.35 1.3573293 0.03920183 0.40732928 -2.3107982 1
+#> 3 1 -6.20 -2.30 -0.3641849 2.01204306 -6.56418492 -0.2879569 2
+#> 4 1 -13.90 -2.55 -0.1267031 4.96725074 -14.02670315 2.4172507 2
+#> 5 1 -14.40 -5.80 0.2795242 1.54785148 -14.12047585 -4.2521485 2
+#> 6 1 -3.60 -1.70 0.6619803 1.37428527 -2.93801969 -0.3257147 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -39850 6600
+#> initial value 998.131940
+#> iter 2 value 798.567507
+#> iter 3 value 786.834120
+#> iter 4 value 785.399487
+#> iter 5 value 752.302906
+#> iter 6 value 743.571146
+#> iter 7 value 742.194513
+#> iter 8 value 742.161541
+#> iter 9 value 742.161480
+#> iter 10 value 742.161469
+#> iter 10 value 742.161462
+#> iter 10 value 742.161456
+#> final value 742.161456
+#> converged
+#> This is Run number 288
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.65580316 -0.4708927 1.1058032 -13.070893 1
+#> 2 1 -0.95 -2.35 0.77763706 -0.2816477 -0.1723629 -2.631648 1
+#> 3 1 -6.20 -2.30 0.68765278 -0.6020579 -5.5123472 -2.902058 2
+#> 4 1 -13.90 -2.55 -0.04588102 0.1147279 -13.9458810 -2.435272 2
+#> 5 1 -14.40 -5.80 0.08748400 1.7322508 -14.3125160 -4.067749 2
+#> 6 1 -3.60 -1.70 -0.37499139 0.2620016 -3.9749914 -1.437998 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -38850 6600
+#> initial value 998.131940
+#> iter 2 value 814.007535
+#> iter 3 value 802.666717
+#> iter 4 value 801.050467
+#> iter 5 value 765.044212
+#> iter 6 value 756.466101
+#> iter 7 value 755.032867
+#> iter 8 value 755.000046
+#> iter 9 value 754.999983
+#> iter 9 value 754.999983
+#> iter 9 value 754.999983
+#> final value 754.999983
+#> converged
+#> This is Run number 289
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.6011042 -0.6826234 0.05110418 -13.282623 1
+#> 2 1 -0.95 -2.35 -0.1339453 -0.6745897 -1.08394527 -3.024590 1
+#> 3 1 -6.20 -2.30 1.2313434 -0.1002653 -4.96865656 -2.400265 2
+#> 4 1 -13.90 -2.55 -0.1695969 0.6437505 -14.06959694 -1.906249 2
+#> 5 1 -14.40 -5.80 -0.2062934 0.8690371 -14.60629341 -4.930963 2
+#> 6 1 -3.60 -1.70 -0.8048178 -0.4197297 -4.40481781 -2.119730 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7100 -41100 6375
+#> initial value 998.131940
+#> iter 2 value 779.349120
+#> iter 3 value 767.145852
+#> iter 4 value 765.318087
+#> iter 5 value 736.111955
+#> iter 6 value 727.303168
+#> iter 7 value 726.024776
+#> iter 8 value 725.992472
+#> iter 9 value 725.992415
+#> iter 9 value 725.992414
+#> iter 9 value 725.992414
+#> final value 725.992414
+#> converged
+#> This is Run number 290
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.008949155 1.6955392 -0.5410508 -10.9044608 1
+#> 2 1 -0.95 -2.35 1.311077425 0.1578775 0.3610774 -2.1921225 1
+#> 3 1 -6.20 -2.30 -0.300495483 -0.8522437 -6.5004955 -3.1522437 2
+#> 4 1 -13.90 -2.55 3.281663352 0.8756732 -10.6183366 -1.6743268 2
+#> 5 1 -14.40 -5.80 -0.523778478 1.6556789 -14.9237785 -4.1443211 2
+#> 6 1 -3.60 -1.70 0.390782230 2.4784976 -3.2092178 0.7784976 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6780 -40425 7250
+#> initial value 998.131940
+#> iter 2 value 785.945036
+#> iter 3 value 771.545249
+#> iter 4 value 770.243577
+#> iter 5 value 739.026683
+#> iter 6 value 730.323080
+#> iter 7 value 729.144734
+#> iter 8 value 729.120485
+#> iter 9 value 729.120458
+#> iter 9 value 729.120450
+#> iter 9 value 729.120449
+#> final value 729.120449
+#> converged
+#> This is Run number 291
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.9916452 -0.1556574 -1.5416452 -12.7556574 1
+#> 2 1 -0.95 -2.35 0.4452418 -0.8554306 -0.5047582 -3.2054306 1
+#> 3 1 -6.20 -2.30 1.6855650 -0.6379268 -4.5144350 -2.9379268 2
+#> 4 1 -13.90 -2.55 2.1738105 2.1950055 -11.7261895 -0.3549945 2
+#> 5 1 -14.40 -5.80 -0.5885028 1.6089816 -14.9885028 -4.1910184 2
+#> 6 1 -3.60 -1.70 -0.1394898 0.1004576 -3.7394898 -1.5995424 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5900 -38650 7450
+#> initial value 998.131940
+#> iter 2 value 812.506146
+#> iter 3 value 797.376118
+#> iter 4 value 795.017916
+#> iter 5 value 758.800075
+#> iter 6 value 750.317222
+#> iter 7 value 749.063814
+#> iter 8 value 749.040236
+#> iter 9 value 749.040210
+#> iter 9 value 749.040201
+#> iter 9 value 749.040196
+#> final value 749.040196
+#> converged
+#> This is Run number 292
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.60597228 -0.94821184 -1.1559723 -13.5482118 1
+#> 2 1 -0.95 -2.35 0.12246990 0.18554587 -0.8275301 -2.1644541 1
+#> 3 1 -6.20 -2.30 -1.07231477 -0.17785620 -7.2723148 -2.4778562 2
+#> 4 1 -13.90 -2.55 0.04241251 0.06740511 -13.8575875 -2.4825949 2
+#> 5 1 -14.40 -5.80 2.04608595 5.22571290 -12.3539141 -0.5742871 2
+#> 6 1 -3.60 -1.70 -0.11791534 -1.01692523 -3.7179153 -2.7169252 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -39250 7300
+#> initial value 998.131940
+#> iter 2 value 804.182615
+#> iter 3 value 790.644777
+#> iter 4 value 789.374218
+#> iter 5 value 754.587770
+#> iter 6 value 745.974760
+#> iter 7 value 744.702271
+#> iter 8 value 744.676314
+#> iter 9 value 744.676279
+#> iter 10 value 744.676268
+#> iter 10 value 744.676259
+#> iter 10 value 744.676253
+#> final value 744.676253
+#> converged
+#> This is Run number 293
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.029249747 0.3062264 0.4792497 -12.2937736 1
+#> 2 1 -0.95 -2.35 0.514623864 -1.8646259 -0.4353761 -4.2146259 1
+#> 3 1 -6.20 -2.30 -0.448628938 -0.2372209 -6.6486289 -2.5372209 2
+#> 4 1 -13.90 -2.55 0.001758364 -1.0346977 -13.8982416 -3.5846977 2
+#> 5 1 -14.40 -5.80 2.537414429 -0.6550224 -11.8625856 -6.4550224 2
+#> 6 1 -3.60 -1.70 0.715012376 1.1727556 -2.8849876 -0.5272444 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6340 -39650 8000
+#> initial value 998.131940
+#> iter 2 value 793.893537
+#> iter 3 value 777.214278
+#> iter 4 value 775.934878
+#> iter 5 value 742.562318
+#> iter 6 value 734.018357
+#> iter 7 value 732.894443
+#> iter 8 value 732.875967
+#> iter 9 value 732.875950
+#> iter 9 value 732.875947
+#> iter 9 value 732.875938
+#> final value 732.875938
+#> converged
+#> This is Run number 294
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.4373996 0.1241813 -0.1126004 -12.475819 1
+#> 2 1 -0.95 -2.35 -0.5165349 1.0056473 -1.4665349 -1.344353 2
+#> 3 1 -6.20 -2.30 2.0784907 1.2938491 -4.1215093 -1.006151 2
+#> 4 1 -13.90 -2.55 1.7012782 0.6811564 -12.1987218 -1.868844 2
+#> 5 1 -14.40 -5.80 0.1512028 -0.5688786 -14.2487972 -6.368879 2
+#> 6 1 -3.60 -1.70 0.9094314 -0.7829091 -2.6905686 -2.482909 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6620 -37150 6000
+#> initial value 998.131940
+#> iter 2 value 840.750672
+#> iter 3 value 833.693096
+#> iter 4 value 833.079268
+#> iter 5 value 791.941793
+#> iter 6 value 783.843641
+#> iter 7 value 782.210124
+#> iter 8 value 782.173958
+#> iter 9 value 782.173866
+#> iter 9 value 782.173864
+#> iter 9 value 782.173864
+#> final value 782.173864
+#> converged
+#> This is Run number 295
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.7938052 -0.9760831 -1.343805 -13.5760831 1
+#> 2 1 -0.95 -2.35 -1.0282976 2.0448155 -1.978298 -0.3051845 2
+#> 3 1 -6.20 -2.30 1.9459048 1.2208429 -4.254095 -1.0791571 2
+#> 4 1 -13.90 -2.55 -0.6605715 1.6678608 -14.560571 -0.8821392 2
+#> 5 1 -14.40 -5.80 -0.3434108 -1.1886303 -14.743411 -6.9886303 2
+#> 6 1 -3.60 -1.70 2.3465152 -0.2127604 -1.253485 -1.9127604 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6940 -39775 6500
+#> initial value 998.131940
+#> iter 2 value 800.092343
+#> iter 3 value 789.243112
+#> iter 4 value 788.152435
+#> iter 5 value 754.693154
+#> iter 6 value 745.961532
+#> iter 7 value 744.534405
+#> iter 8 value 744.499295
+#> iter 9 value 744.499223
+#> iter 10 value 744.499211
+#> iter 10 value 744.499204
+#> iter 10 value 744.499197
+#> final value 744.499197
+#> converged
+#> This is Run number 296
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.7061212 -0.6689785 -1.256121 -13.2689785 1
+#> 2 1 -0.95 -2.35 -1.1758519 0.9209812 -2.125852 -1.4290188 2
+#> 3 1 -6.20 -2.30 3.2063767 2.0893906 -2.993623 -0.2106094 2
+#> 4 1 -13.90 -2.55 2.5097990 1.7489708 -11.390201 -0.8010292 2
+#> 5 1 -14.40 -5.80 1.2575136 -1.2619651 -13.142486 -7.0619651 2
+#> 6 1 -3.60 -1.70 2.3667859 0.5637031 -1.233214 -1.1362969 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7040 -40525 7075
+#> initial value 998.131940
+#> iter 2 value 785.046841
+#> iter 3 value 771.923139
+#> iter 4 value 771.078567
+#> iter 5 value 739.970771
+#> iter 6 value 731.217083
+#> iter 7 value 729.996208
+#> iter 8 value 729.969426
+#> iter 9 value 729.969390
+#> iter 9 value 729.969380
+#> iter 9 value 729.969372
+#> final value 729.969372
+#> converged
+#> This is Run number 297
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.14881095 0.9628600 -0.6988109 -11.6371400 1
+#> 2 1 -0.95 -2.35 -1.14492168 1.2328233 -2.0949217 -1.1171767 2
+#> 3 1 -6.20 -2.30 -0.24911549 2.4536071 -6.4491155 0.1536071 2
+#> 4 1 -13.90 -2.55 1.80287760 -0.6935562 -12.0971224 -3.2435562 2
+#> 5 1 -14.40 -5.80 0.54510694 -0.0591580 -13.8548931 -5.8591580 2
+#> 6 1 -3.60 -1.70 0.06751875 -1.2220161 -3.5324813 -2.9220161 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6980 -38725 5425
+#> initial value 998.131940
+#> iter 2 value 820.869048
+#> iter 3 value 813.534167
+#> iter 4 value 812.315178
+#> iter 5 value 775.724510
+#> iter 6 value 767.240817
+#> iter 7 value 765.437546
+#> iter 8 value 765.389753
+#> iter 9 value 765.389596
+#> iter 10 value 765.389580
+#> iter 10 value 765.389580
+#> iter 10 value 765.389574
+#> final value 765.389574
+#> converged
+#> This is Run number 298
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.9067815 0.8753344 0.3567815 -11.7246656 1
+#> 2 1 -0.95 -2.35 -0.3677609 1.2240229 -1.3177609 -1.1259771 2
+#> 3 1 -6.20 -2.30 0.1482319 2.6328132 -6.0517681 0.3328132 2
+#> 4 1 -13.90 -2.55 -0.3982143 0.3043862 -14.2982143 -2.2456138 2
+#> 5 1 -14.40 -5.80 0.1167783 -0.4050884 -14.2832217 -6.2050884 2
+#> 6 1 -3.60 -1.70 1.0130777 -0.6064547 -2.5869223 -2.3064547 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5500 -37825 7150
+#> initial value 998.131940
+#> iter 2 value 826.089012
+#> iter 3 value 811.223275
+#> iter 4 value 808.003946
+#> iter 5 value 769.543490
+#> iter 6 value 761.194658
+#> iter 7 value 759.889914
+#> iter 8 value 759.865375
+#> iter 9 value 759.865346
+#> iter 9 value 759.865338
+#> iter 9 value 759.865333
+#> final value 759.865333
+#> converged
+#> This is Run number 299
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.5361188 1.2465345 0.98611875 -11.3534655 1
+#> 2 1 -0.95 -2.35 0.9603229 1.8858991 0.01032288 -0.4641009 1
+#> 3 1 -6.20 -2.30 2.0126352 0.6903366 -4.18736484 -1.6096634 2
+#> 4 1 -13.90 -2.55 1.8404572 0.6342280 -12.05954279 -1.9157720 2
+#> 5 1 -14.40 -5.80 -0.5978029 1.4999378 -14.99780294 -4.3000622 2
+#> 6 1 -3.60 -1.70 -0.1646452 1.9801847 -3.76464524 0.2801847 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6540 -41075 7775
+#> initial value 998.131940
+#> iter 2 value 772.434527
+#> iter 3 value 754.113941
+#> iter 4 value 752.026103
+#> iter 5 value 723.240968
+#> iter 6 value 714.741473
+#> iter 7 value 713.732106
+#> iter 8 value 713.715280
+#> iter 8 value 713.715275
+#> final value 713.715275
+#> converged
+#> This is Run number 300
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.15985898 -0.538808880 1.6098590 -13.138809 1
+#> 2 1 -0.95 -2.35 1.37166454 0.356914519 0.4216645 -1.993085 1
+#> 3 1 -6.20 -2.30 -0.16082264 0.429795970 -6.3608226 -1.870204 2
+#> 4 1 -13.90 -2.55 -0.29086665 0.002522419 -14.1908667 -2.547478 2
+#> 5 1 -14.40 -5.80 0.06632225 -0.550516303 -14.3336778 -6.350516 2
+#> 6 1 -3.60 -1.70 0.64579898 0.110839458 -2.9542010 -1.589161 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6720 -37775 6125
+#> initial value 998.131940
+#> iter 2 value 831.530493
+#> iter 3 value 823.698904
+#> iter 4 value 823.037123
+#> iter 5 value 783.604943
+#> iter 6 value 775.308642
+#> iter 7 value 773.686855
+#> iter 8 value 773.649295
+#> iter 9 value 773.649199
+#> iter 9 value 773.649198
+#> iter 9 value 773.649198
+#> final value 773.649198
+#> converged
+#> This is Run number 301
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.0314769 0.50718647 -1.581477 -12.092814 1
+#> 2 1 -0.95 -2.35 -0.2983395 -0.09345339 -1.248339 -2.443453 1
+#> 3 1 -6.20 -2.30 0.9058604 0.56780467 -5.294140 -1.732195 2
+#> 4 1 -13.90 -2.55 -0.5552764 0.32242730 -14.455276 -2.227573 2
+#> 5 1 -14.40 -5.80 -0.7087601 1.05892282 -15.108760 -4.741077 2
+#> 6 1 -3.60 -1.70 0.7342840 0.61491542 -2.865716 -1.085085 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -40400 7550
+#> initial value 998.131940
+#> iter 2 value 784.501724
+#> iter 3 value 769.537085
+#> iter 4 value 768.676956
+#> iter 5 value 737.349320
+#> iter 6 value 728.676280
+#> iter 7 value 727.538787
+#> iter 8 value 727.517249
+#> iter 8 value 727.517240
+#> final value 727.517240
+#> converged
+#> This is Run number 302
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.094580 -0.6039929 -1.6445796 -13.203993 1
+#> 2 1 -0.95 -2.35 1.314734 -0.3358880 0.3647341 -2.685888 1
+#> 3 1 -6.20 -2.30 -1.225248 -0.2580781 -7.4252477 -2.558078 2
+#> 4 1 -13.90 -2.55 1.266008 0.1781303 -12.6339917 -2.371870 2
+#> 5 1 -14.40 -5.80 1.150231 1.1993404 -13.2497691 -4.600660 2
+#> 6 1 -3.60 -1.70 4.937996 -0.9948892 1.3379958 -2.694889 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6760 -36475 5975
+#> initial value 998.131940
+#> iter 2 value 849.574907
+#> iter 3 value 843.707622
+#> iter 4 value 843.532292
+#> iter 5 value 800.514690
+#> iter 6 value 792.666006
+#> iter 7 value 791.027325
+#> iter 8 value 790.992729
+#> iter 9 value 790.992636
+#> iter 9 value 790.992632
+#> iter 9 value 790.992632
+#> final value 790.992632
+#> converged
+#> This is Run number 303
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.40590684 1.5524560 -0.9559068 -11.04754398 1
+#> 2 1 -0.95 -2.35 -0.33068900 2.2673515 -1.2806890 -0.08264855 2
+#> 3 1 -6.20 -2.30 -0.38422678 0.1304595 -6.5842268 -2.16954055 2
+#> 4 1 -13.90 -2.55 -0.57065640 1.7052237 -14.4706564 -0.84477627 2
+#> 5 1 -14.40 -5.80 -0.02260589 -1.0794134 -14.4226059 -6.87941340 2
+#> 6 1 -3.60 -1.70 0.06341166 0.3808744 -3.5365883 -1.31912564 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -39500 6275
+#> initial value 998.131940
+#> iter 2 value 805.562955
+#> iter 3 value 795.221860
+#> iter 4 value 793.854560
+#> iter 5 value 759.629597
+#> iter 6 value 750.937319
+#> iter 7 value 749.441954
+#> iter 8 value 749.404488
+#> iter 9 value 749.404404
+#> iter 10 value 749.404392
+#> iter 10 value 749.404386
+#> iter 10 value 749.404380
+#> final value 749.404380
+#> converged
+#> This is Run number 304
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.1941545 3.4089685 -0.7441545 -9.191032 1
+#> 2 1 -0.95 -2.35 -1.0789333 0.6011597 -2.0289333 -1.748840 2
+#> 3 1 -6.20 -2.30 1.6960547 0.6016739 -4.5039453 -1.698326 2
+#> 4 1 -13.90 -2.55 0.6120742 -0.2948327 -13.2879258 -2.844833 2
+#> 5 1 -14.40 -5.80 0.3942412 2.4759091 -14.0057588 -3.324091 2
+#> 6 1 -3.60 -1.70 3.2190117 0.2208039 -0.3809883 -1.479196 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7220 -41850 6450
+#> initial value 998.131940
+#> iter 2 value 766.187794
+#> iter 3 value 753.018139
+#> iter 4 value 750.972112
+#> iter 5 value 724.162974
+#> iter 6 value 715.413173
+#> iter 7 value 714.273728
+#> iter 8 value 714.246030
+#> iter 9 value 714.245992
+#> iter 9 value 714.245991
+#> iter 9 value 714.245991
+#> final value 714.245991
+#> converged
+#> This is Run number 305
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.3478016 1.7110517 -0.2021984 -10.8889483 1
+#> 2 1 -0.95 -2.35 -0.2451101 1.3942342 -1.1951101 -0.9557658 2
+#> 3 1 -6.20 -2.30 0.6828095 0.2478457 -5.5171905 -2.0521543 2
+#> 4 1 -13.90 -2.55 3.0780664 -0.1979902 -10.8219336 -2.7479902 2
+#> 5 1 -14.40 -5.80 -0.1020145 1.6251434 -14.5020145 -4.1748566 2
+#> 6 1 -3.60 -1.70 -0.8691831 4.7392815 -4.4691831 3.0392815 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6280 -38800 6375
+#> initial value 998.131940
+#> iter 2 value 816.019245
+#> iter 3 value 804.269008
+#> iter 4 value 801.912782
+#> iter 5 value 765.964753
+#> iter 6 value 757.389612
+#> iter 7 value 755.932605
+#> iter 8 value 755.898783
+#> iter 9 value 755.898716
+#> iter 9 value 755.898705
+#> iter 9 value 755.898700
+#> final value 755.898700
+#> converged
+#> This is Run number 306
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 3.7118829 0.4204475 3.1618829 -12.1795525 1
+#> 2 1 -0.95 -2.35 1.7955725 1.7363490 0.8455725 -0.6136510 1
+#> 3 1 -6.20 -2.30 0.4305091 -0.5401033 -5.7694909 -2.8401033 2
+#> 4 1 -13.90 -2.55 -0.7927717 2.4304739 -14.6927717 -0.1195261 2
+#> 5 1 -14.40 -5.80 1.2183661 4.1554752 -13.1816339 -1.6445248 2
+#> 6 1 -3.60 -1.70 0.3869888 -0.2138273 -3.2130112 -1.9138273 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6340 -37525 6700
+#> initial value 998.131940
+#> iter 2 value 832.410565
+#> iter 3 value 822.815260
+#> iter 4 value 821.909317
+#> iter 5 value 781.911301
+#> iter 6 value 773.642775
+#> iter 7 value 772.177353
+#> iter 8 value 772.146191
+#> iter 9 value 772.146128
+#> iter 10 value 772.146114
+#> iter 10 value 772.146103
+#> iter 10 value 772.146095
+#> final value 772.146095
+#> converged
+#> This is Run number 307
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.58356302 1.27763642 0.03356302 -11.322364 1
+#> 2 1 -0.95 -2.35 -0.12069215 -0.14483300 -1.07069215 -2.494833 1
+#> 3 1 -6.20 -2.30 0.01304100 0.06300025 -6.18695900 -2.237000 2
+#> 4 1 -13.90 -2.55 0.04833979 -0.72771657 -13.85166021 -3.277717 2
+#> 5 1 -14.40 -5.80 -0.31499846 -1.20290065 -14.71499846 -7.002901 2
+#> 6 1 -3.60 -1.70 0.84668095 0.03858374 -2.75331905 -1.661416 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5400 -36175 7525
+#> initial value 998.131940
+#> iter 2 value 845.930639
+#> iter 3 value 834.155696
+#> iter 4 value 832.456199
+#> iter 5 value 788.977059
+#> iter 6 value 781.089171
+#> iter 7 value 779.810499
+#> iter 8 value 779.789297
+#> iter 9 value 779.789270
+#> iter 9 value 779.789260
+#> iter 9 value 779.789255
+#> final value 779.789255
+#> converged
+#> This is Run number 308
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.08226743 1.7623610 -0.6322674 -10.8376390 1
+#> 2 1 -0.95 -2.35 0.37250021 -1.2937515 -0.5774998 -3.6437515 1
+#> 3 1 -6.20 -2.30 1.58191587 2.0350729 -4.6180841 -0.2649271 2
+#> 4 1 -13.90 -2.55 0.79278414 -0.2474368 -13.1072159 -2.7974368 2
+#> 5 1 -14.40 -5.80 1.31923177 1.1375148 -13.0807682 -4.6624852 2
+#> 6 1 -3.60 -1.70 1.29156677 -0.4790823 -2.3084332 -2.1790823 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6020 -38025 7200
+#> initial value 998.131940
+#> iter 2 value 822.892938
+#> iter 3 value 810.215793
+#> iter 4 value 808.549339
+#> iter 5 value 770.248237
+#> iter 6 value 761.855908
+#> iter 7 value 760.521086
+#> iter 8 value 760.494689
+#> iter 9 value 760.494651
+#> iter 10 value 760.494639
+#> iter 10 value 760.494629
+#> iter 10 value 760.494624
+#> final value 760.494624
+#> converged
+#> This is Run number 309
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.50480533 1.801557091 0.9548053 -10.7984429 1
+#> 2 1 -0.95 -2.35 0.16168568 0.003540297 -0.7883143 -2.3464597 1
+#> 3 1 -6.20 -2.30 0.12520410 4.131404980 -6.0747959 1.8314050 2
+#> 4 1 -13.90 -2.55 -0.18819509 4.846869497 -14.0881951 2.2968695 2
+#> 5 1 -14.40 -5.80 -0.00632819 -0.379901772 -14.4063282 -6.1799018 2
+#> 6 1 -3.60 -1.70 -1.24212465 1.303711640 -4.8421246 -0.3962884 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6540 -38800 7075
+#> initial value 998.131940
+#> iter 2 value 812.098544
+#> iter 3 value 800.225868
+#> iter 4 value 799.278769
+#> iter 5 value 763.000301
+#> iter 6 value 754.432559
+#> iter 7 value 753.074910
+#> iter 8 value 753.045765
+#> iter 9 value 753.045716
+#> iter 10 value 753.045703
+#> iter 10 value 753.045693
+#> iter 10 value 753.045686
+#> final value 753.045686
+#> converged
+#> This is Run number 310
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.7958703 -0.7509965 1.245870 -13.350997 1
+#> 2 1 -0.95 -2.35 -0.3219374 0.8200184 -1.271937 -1.529982 1
+#> 3 1 -6.20 -2.30 1.3087280 -1.1667017 -4.891272 -3.466702 2
+#> 4 1 -13.90 -2.55 -0.4568792 -0.3408168 -14.356879 -2.890817 2
+#> 5 1 -14.40 -5.80 1.2741497 -0.2701575 -13.125850 -6.070158 2
+#> 6 1 -3.60 -1.70 0.2961015 0.5498952 -3.303898 -1.150105 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5640 -36525 7050
+#> initial value 998.131940
+#> iter 2 value 844.159748
+#> iter 3 value 833.248612
+#> iter 4 value 831.564070
+#> iter 5 value 789.071110
+#> iter 6 value 781.085447
+#> iter 7 value 779.735822
+#> iter 8 value 779.711083
+#> iter 9 value 779.711045
+#> iter 9 value 779.711034
+#> iter 9 value 779.711029
+#> final value 779.711029
+#> converged
+#> This is Run number 311
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.9673955 0.3836809 2.4173955 -12.216319 1
+#> 2 1 -0.95 -2.35 -0.8194546 -1.5325756 -1.7694546 -3.882576 1
+#> 3 1 -6.20 -2.30 1.8328013 0.1247555 -4.3671987 -2.175245 2
+#> 4 1 -13.90 -2.55 -0.4657669 -1.0624877 -14.3657669 -3.612488 2
+#> 5 1 -14.40 -5.80 -1.0640077 0.8685816 -15.4640077 -4.931418 2
+#> 6 1 -3.60 -1.70 4.4382296 -0.4285952 0.8382296 -2.128595 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6520 -40750 6825
+#> initial value 998.131940
+#> iter 2 value 783.314945
+#> iter 3 value 767.935947
+#> iter 4 value 764.921868
+#> iter 5 value 735.113853
+#> iter 6 value 726.395622
+#> iter 7 value 725.223427
+#> iter 8 value 725.197690
+#> iter 9 value 725.197660
+#> iter 9 value 725.197660
+#> iter 9 value 725.197660
+#> final value 725.197660
+#> converged
+#> This is Run number 312
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.7598337 2.1988437 0.2098337 -10.4011563 1
+#> 2 1 -0.95 -2.35 1.6586575 -0.5472722 0.7086575 -2.8972722 1
+#> 3 1 -6.20 -2.30 0.7093915 -0.4065676 -5.4906085 -2.7065676 2
+#> 4 1 -13.90 -2.55 -0.2951693 2.2431632 -14.1951693 -0.3068368 2
+#> 5 1 -14.40 -5.80 0.5099310 -0.7741198 -13.8900690 -6.5741198 2
+#> 6 1 -3.60 -1.70 2.7061986 0.5877788 -0.8938014 -1.1122212 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -38850 7250
+#> initial value 998.131940
+#> iter 2 value 810.587099
+#> iter 3 value 797.044385
+#> iter 4 value 795.405145
+#> iter 5 value 759.525050
+#> iter 6 value 750.976376
+#> iter 7 value 749.681323
+#> iter 8 value 749.655125
+#> iter 9 value 749.655089
+#> iter 10 value 749.655078
+#> iter 10 value 749.655069
+#> iter 10 value 749.655064
+#> final value 749.655064
+#> converged
+#> This is Run number 313
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.4312399 1.98602725 -0.9812399 -10.613973 1
+#> 2 1 -0.95 -2.35 -0.2212085 -0.04895586 -1.1712085 -2.398956 1
+#> 3 1 -6.20 -2.30 0.4556414 0.24529476 -5.7443586 -2.054705 2
+#> 4 1 -13.90 -2.55 0.6738632 0.73677725 -13.2261368 -1.813223 2
+#> 5 1 -14.40 -5.80 -0.3985851 0.52918028 -14.7985851 -5.270820 2
+#> 6 1 -3.60 -1.70 -0.6329371 -0.09286154 -4.2329371 -1.792862 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7160 -39975 6350
+#> initial value 998.131940
+#> iter 2 value 797.469323
+#> iter 3 value 787.397342
+#> iter 4 value 786.580313
+#> iter 5 value 753.596279
+#> iter 6 value 744.835139
+#> iter 7 value 743.365620
+#> iter 8 value 743.327936
+#> iter 9 value 743.327850
+#> iter 10 value 743.327837
+#> iter 10 value 743.327830
+#> iter 10 value 743.327823
+#> final value 743.327823
+#> converged
+#> This is Run number 314
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.07219961 -0.1886265 -0.4778004 -12.788627 1
+#> 2 1 -0.95 -2.35 -0.32335231 -0.4993384 -1.2733523 -2.849338 1
+#> 3 1 -6.20 -2.30 0.41933730 -0.6681020 -5.7806627 -2.968102 2
+#> 4 1 -13.90 -2.55 0.54981169 -0.1217973 -13.3501883 -2.671797 2
+#> 5 1 -14.40 -5.80 1.39773965 0.1849908 -13.0022603 -5.615009 2
+#> 6 1 -3.60 -1.70 -0.30607395 -0.3337629 -3.9060740 -2.033763 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6080 -38600 6325
+#> initial value 998.131940
+#> iter 2 value 819.297768
+#> iter 3 value 806.952963
+#> iter 4 value 804.090450
+#> iter 5 value 767.693466
+#> iter 6 value 759.146204
+#> iter 7 value 757.693663
+#> iter 8 value 757.660495
+#> iter 9 value 757.660429
+#> iter 9 value 757.660419
+#> iter 9 value 757.660414
+#> final value 757.660414
+#> converged
+#> This is Run number 315
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.36654271 -0.2614218 -0.9165427 -12.8614218 1
+#> 2 1 -0.95 -2.35 0.55885513 0.1550267 -0.3911449 -2.1949733 1
+#> 3 1 -6.20 -2.30 -0.88384255 -0.9596687 -7.0838425 -3.2596687 2
+#> 4 1 -13.90 -2.55 -0.01315882 3.2964378 -13.9131588 0.7464378 2
+#> 5 1 -14.40 -5.80 0.62881653 0.1870362 -13.7711835 -5.6129638 2
+#> 6 1 -3.60 -1.70 0.38536530 -0.1703279 -3.2146347 -1.8703279 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6540 -39750 7725
+#> initial value 998.131940
+#> iter 2 value 793.933463
+#> iter 3 value 778.614151
+#> iter 4 value 777.570860
+#> iter 5 value 744.354542
+#> iter 6 value 735.740694
+#> iter 7 value 734.578079
+#> iter 8 value 734.557033
+#> iter 9 value 734.557019
+#> iter 9 value 734.557015
+#> iter 10 value 734.556999
+#> iter 10 value 734.556990
+#> iter 10 value 734.556986
+#> final value 734.556986
+#> converged
+#> This is Run number 316
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.629480 -0.33385311 1.0794796 -12.933853 1
+#> 2 1 -0.95 -2.35 1.845130 0.53983855 0.8951301 -1.810161 1
+#> 3 1 -6.20 -2.30 3.448022 -0.06794323 -2.7519780 -2.367943 2
+#> 4 1 -13.90 -2.55 -1.364370 1.35255294 -15.2643703 -1.197447 2
+#> 5 1 -14.40 -5.80 -1.718977 0.50819185 -16.1189767 -5.291808 2
+#> 6 1 -3.60 -1.70 -1.538403 -0.60846442 -5.1384034 -2.308464 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6120 -38600 8500
+#> initial value 998.131940
+#> iter 2 value 806.427929
+#> iter 3 value 789.825732
+#> iter 4 value 789.050460
+#> iter 5 value 752.407194
+#> iter 6 value 743.990863
+#> iter 7 value 742.866716
+#> iter 8 value 742.850945
+#> iter 9 value 742.850927
+#> iter 9 value 742.850920
+#> iter 9 value 742.850916
+#> final value 742.850916
+#> converged
+#> This is Run number 317
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.06908058 -0.3912956 -0.6190806 -12.991296 1
+#> 2 1 -0.95 -2.35 -0.78614594 -0.9567659 -1.7361459 -3.306766 1
+#> 3 1 -6.20 -2.30 -0.28215590 0.6953846 -6.4821559 -1.604615 2
+#> 4 1 -13.90 -2.55 0.95008130 -1.2485916 -12.9499187 -3.798592 2
+#> 5 1 -14.40 -5.80 0.52450917 -0.4985620 -13.8754908 -6.298562 2
+#> 6 1 -3.60 -1.70 0.60343276 0.5020075 -2.9965672 -1.197993 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5980 -37250 6725
+#> initial value 998.131940
+#> iter 2 value 836.230660
+#> iter 3 value 825.718979
+#> iter 4 value 824.131617
+#> iter 5 value 783.584732
+#> iter 6 value 775.390734
+#> iter 7 value 773.965346
+#> iter 8 value 773.936417
+#> iter 9 value 773.936366
+#> iter 9 value 773.936364
+#> iter 9 value 773.936364
+#> final value 773.936364
+#> converged
+#> This is Run number 318
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.1591665 -0.1564187 0.60916653 -12.7564187 1
+#> 2 1 -0.95 -2.35 1.0152183 -0.8295712 0.06521828 -3.1795712 1
+#> 3 1 -6.20 -2.30 0.6550211 -0.4054553 -5.54497890 -2.7054553 2
+#> 4 1 -13.90 -2.55 0.7746068 0.6274750 -13.12539321 -1.9225250 2
+#> 5 1 -14.40 -5.80 0.2259394 0.3745007 -14.17406059 -5.4254993 2
+#> 6 1 -3.60 -1.70 1.7145243 1.1914711 -1.88547574 -0.5085289 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7020 -39825 7100
+#> initial value 998.131940
+#> iter 2 value 795.970683
+#> iter 3 value 783.852889
+#> iter 4 value 783.366889
+#> iter 5 value 750.028053
+#> iter 6 value 741.302728
+#> iter 7 value 739.998851
+#> iter 8 value 739.969869
+#> iter 9 value 739.969822
+#> iter 10 value 739.969808
+#> iter 10 value 739.969799
+#> iter 10 value 739.969791
+#> final value 739.969791
+#> converged
+#> This is Run number 319
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.0473500 0.2164144 0.4973500 -12.383586 1
+#> 2 1 -0.95 -2.35 0.5382308 0.6379600 -0.4117692 -1.712040 1
+#> 3 1 -6.20 -2.30 0.9016668 -0.1106530 -5.2983332 -2.410653 2
+#> 4 1 -13.90 -2.55 0.6270367 0.3556341 -13.2729633 -2.194366 2
+#> 5 1 -14.40 -5.80 4.8086493 1.1028323 -9.5913507 -4.697168 2
+#> 6 1 -3.60 -1.70 -0.2528278 -0.6407626 -3.8528278 -2.340763 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6960 -39200 6250
+#> initial value 998.131940
+#> iter 2 value 810.082501
+#> iter 3 value 800.706271
+#> iter 4 value 799.829969
+#> iter 5 value 764.543425
+#> iter 6 value 755.903049
+#> iter 7 value 754.352693
+#> iter 8 value 754.313796
+#> iter 9 value 754.313702
+#> iter 10 value 754.313688
+#> iter 10 value 754.313681
+#> iter 10 value 754.313674
+#> final value 754.313674
+#> converged
+#> This is Run number 320
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.62147554 -1.25170625 0.07147554 -13.8517062 1
+#> 2 1 -0.95 -2.35 -0.02247538 -0.32550634 -0.97247538 -2.6755063 1
+#> 3 1 -6.20 -2.30 0.41162730 2.79392450 -5.78837270 0.4939245 2
+#> 4 1 -13.90 -2.55 -0.03282543 -0.06878074 -13.93282543 -2.6187807 2
+#> 5 1 -14.40 -5.80 -0.62926088 0.88401003 -15.02926088 -4.9159900 2
+#> 6 1 -3.60 -1.70 0.84006966 -0.03880140 -2.75993034 -1.7388014 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -38950 7050
+#> initial value 998.131940
+#> iter 2 value 810.245376
+#> iter 3 value 796.889710
+#> iter 4 value 794.966932
+#> iter 5 value 759.431501
+#> iter 6 value 750.857944
+#> iter 7 value 749.539050
+#> iter 8 value 749.511355
+#> iter 9 value 749.511315
+#> iter 9 value 749.511304
+#> iter 9 value 749.511298
+#> final value 749.511298
+#> converged
+#> This is Run number 321
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.47064696 0.5297818 -2.020647 -12.070218 1
+#> 2 1 -0.95 -2.35 -0.20229351 3.4539031 -1.152294 1.103903 2
+#> 3 1 -6.20 -2.30 -0.46642555 0.9638335 -6.666426 -1.336167 2
+#> 4 1 -13.90 -2.55 0.21087505 -0.1197997 -13.689125 -2.669800 2
+#> 5 1 -14.40 -5.80 -0.04661594 1.1393276 -14.446616 -4.660672 2
+#> 6 1 -3.60 -1.70 -0.21215975 -0.3721022 -3.812160 -2.072102 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7020 -39400 6275
+#> initial value 998.131940
+#> iter 2 value 806.870198
+#> iter 3 value 797.345698
+#> iter 4 value 796.502692
+#> iter 5 value 761.797805
+#> iter 6 value 753.121303
+#> iter 7 value 751.587291
+#> iter 8 value 751.548489
+#> iter 9 value 751.548396
+#> iter 10 value 751.548382
+#> iter 10 value 751.548375
+#> iter 10 value 751.548368
+#> final value 751.548368
+#> converged
+#> This is Run number 322
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.78701341 1.5295592 -1.3370134 -11.0704408 1
+#> 2 1 -0.95 -2.35 1.74620565 0.2455997 0.7962057 -2.1044003 1
+#> 3 1 -6.20 -2.30 -0.07882724 1.1717892 -6.2788272 -1.1282108 2
+#> 4 1 -13.90 -2.55 0.55789649 2.1511872 -13.3421035 -0.3988128 2
+#> 5 1 -14.40 -5.80 -0.30563354 -0.8423720 -14.7056335 -6.6423720 2
+#> 6 1 -3.60 -1.70 1.39817121 -1.5852613 -2.2018288 -3.2852613 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6320 -38950 5950
+#> initial value 998.131940
+#> iter 2 value 815.832647
+#> iter 3 value 804.480538
+#> iter 4 value 801.674112
+#> iter 5 value 766.251827
+#> iter 6 value 757.634826
+#> iter 7 value 756.094215
+#> iter 8 value 756.055958
+#> iter 9 value 756.055861
+#> iter 10 value 756.055849
+#> iter 10 value 756.055849
+#> iter 10 value 756.055844
+#> final value 756.055844
+#> converged
+#> This is Run number 323
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.38205614 0.37708040 -1.9320561 -12.22291960 1
+#> 2 1 -0.95 -2.35 1.51015207 -0.01738002 0.5601521 -2.36738002 1
+#> 3 1 -6.20 -2.30 2.11443822 2.35480584 -4.0855618 0.05480584 2
+#> 4 1 -13.90 -2.55 -0.63516341 2.27650377 -14.5351634 -0.27349623 2
+#> 5 1 -14.40 -5.80 0.21084765 -0.62198258 -14.1891524 -6.42198258 2
+#> 6 1 -3.60 -1.70 -0.01578352 0.79606526 -3.6157835 -0.90393474 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5940 -37500 6425
+#> initial value 998.131940
+#> iter 2 value 834.398041
+#> iter 3 value 823.553041
+#> iter 4 value 821.385339
+#> iter 5 value 781.688435
+#> iter 6 value 773.421222
+#> iter 7 value 771.955222
+#> iter 8 value 771.924271
+#> iter 9 value 771.924212
+#> iter 9 value 771.924202
+#> iter 9 value 771.924197
+#> final value 771.924197
+#> converged
+#> This is Run number 324
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.46787091 1.0533915 -0.08212909 -11.5466085 1
+#> 2 1 -0.95 -2.35 -0.46529368 -0.5091562 -1.41529368 -2.8591562 1
+#> 3 1 -6.20 -2.30 0.26367336 -1.5893438 -5.93632664 -3.8893438 2
+#> 4 1 -13.90 -2.55 1.97487699 -0.1982987 -11.92512301 -2.7482987 2
+#> 5 1 -14.40 -5.80 0.07546907 0.4870631 -14.32453093 -5.3129369 2
+#> 6 1 -3.60 -1.70 -0.04707616 0.7349967 -3.64707616 -0.9650033 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5860 -37075 7250
+#> initial value 998.131940
+#> iter 2 value 835.724851
+#> iter 3 value 824.291326
+#> iter 4 value 822.944198
+#> iter 5 value 781.856856
+#> iter 6 value 773.701367
+#> iter 7 value 772.359923
+#> iter 8 value 772.334779
+#> iter 9 value 772.334741
+#> iter 10 value 772.334728
+#> iter 10 value 772.334718
+#> iter 10 value 772.334717
+#> final value 772.334717
+#> converged
+#> This is Run number 325
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.8914225 -0.0459648 1.341423 -12.6459648 1
+#> 2 1 -0.95 -2.35 -0.6912446 -0.3965918 -1.641245 -2.7465918 1
+#> 3 1 -6.20 -2.30 -0.7232214 -0.4788291 -6.923221 -2.7788291 2
+#> 4 1 -13.90 -2.55 -1.1017164 2.1832367 -15.001716 -0.3667633 2
+#> 5 1 -14.40 -5.80 -0.4048291 -0.8246345 -14.804829 -6.6246345 2
+#> 6 1 -3.60 -1.70 -0.8388993 0.7410073 -4.438899 -0.9589927 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -38525 7200
+#> initial value 998.131940
+#> iter 2 value 815.626289
+#> iter 3 value 802.856747
+#> iter 4 value 801.428395
+#> iter 5 value 764.512520
+#> iter 6 value 756.012573
+#> iter 7 value 754.686210
+#> iter 8 value 754.659194
+#> iter 9 value 754.659154
+#> iter 10 value 754.659142
+#> iter 10 value 754.659132
+#> iter 10 value 754.659127
+#> final value 754.659127
+#> converged
+#> This is Run number 326
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.9457421 0.01379859 0.3957421 -12.5862014 1
+#> 2 1 -0.95 -2.35 -0.5945031 2.98566041 -1.5445031 0.6356604 2
+#> 3 1 -6.20 -2.30 -0.2877314 3.83116242 -6.4877314 1.5311624 2
+#> 4 1 -13.90 -2.55 1.1321191 2.43504301 -12.7678809 -0.1149570 2
+#> 5 1 -14.40 -5.80 0.3785449 0.51901195 -14.0214551 -5.2809881 2
+#> 6 1 -3.60 -1.70 0.3515232 -0.25457716 -3.2484768 -1.9545772 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5940 -38375 6850
+#> initial value 998.131940
+#> iter 2 value 819.883974
+#> iter 3 value 806.603552
+#> iter 4 value 804.030163
+#> iter 5 value 766.964926
+#> iter 6 value 758.487525
+#> iter 7 value 757.127083
+#> iter 8 value 757.098719
+#> iter 9 value 757.098676
+#> iter 9 value 757.098667
+#> iter 9 value 757.098661
+#> final value 757.098661
+#> converged
+#> This is Run number 327
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.0577793 0.8791231 0.5077793 -11.7208769 1
+#> 2 1 -0.95 -2.35 5.0438882 0.9149064 4.0938882 -1.4350936 1
+#> 3 1 -6.20 -2.30 -1.5418716 1.9689192 -7.7418716 -0.3310808 2
+#> 4 1 -13.90 -2.55 -1.5791201 1.0168672 -15.4791201 -1.5331328 2
+#> 5 1 -14.40 -5.80 -0.1454676 0.1607948 -14.5454676 -5.6392052 2
+#> 6 1 -3.60 -1.70 -0.6114485 0.7155251 -4.2114485 -0.9844749 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -39775 7275
+#> initial value 998.131940
+#> iter 2 value 795.976941
+#> iter 3 value 782.847966
+#> iter 4 value 782.105967
+#> iter 5 value 748.740736
+#> iter 6 value 740.047123
+#> iter 7 value 738.791162
+#> iter 8 value 738.764807
+#> iter 9 value 738.764770
+#> iter 10 value 738.764758
+#> iter 10 value 738.764749
+#> iter 10 value 738.764742
+#> final value 738.764742
+#> converged
+#> This is Run number 328
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.6164419 -0.55315774 0.06644195 -13.153158 1
+#> 2 1 -0.95 -2.35 -1.1933987 0.87491435 -2.14339874 -1.475086 2
+#> 3 1 -6.20 -2.30 2.0312490 -0.39272183 -4.16875101 -2.692722 2
+#> 4 1 -13.90 -2.55 0.3600632 1.21118110 -13.53993684 -1.338819 2
+#> 5 1 -14.40 -5.80 1.5030814 0.04612378 -12.89691861 -5.753876 2
+#> 6 1 -3.60 -1.70 -0.6303895 -1.10337349 -4.23038950 -2.803373 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6720 -39575 7650
+#> initial value 998.131940
+#> iter 2 value 796.916369
+#> iter 3 value 782.767329
+#> iter 4 value 782.181793
+#> iter 5 value 748.280607
+#> iter 6 value 739.638262
+#> iter 7 value 738.436342
+#> iter 8 value 738.413678
+#> iter 8 value 738.413678
+#> final value 738.413678
+#> converged
+#> This is Run number 329
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.63345292 -0.03478091 -1.1834529 -12.634781 1
+#> 2 1 -0.95 -2.35 -0.02588636 1.05382460 -0.9758864 -1.296175 1
+#> 3 1 -6.20 -2.30 1.57338664 -0.49584678 -4.6266134 -2.795847 2
+#> 4 1 -13.90 -2.55 0.40664092 -0.86091031 -13.4933591 -3.410910 2
+#> 5 1 -14.40 -5.80 0.61196773 0.85964961 -13.7880323 -4.940350 2
+#> 6 1 -3.60 -1.70 1.03426258 1.26900504 -2.5657374 -0.430995 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5520 -36575 8450
+#> initial value 998.131940
+#> iter 2 value 834.882150
+#> iter 3 value 821.124482
+#> iter 4 value 820.117962
+#> iter 5 value 777.433798
+#> iter 6 value 769.398374
+#> iter 7 value 768.214596
+#> iter 8 value 768.198228
+#> iter 8 value 768.198224
+#> final value 768.198224
+#> converged
+#> This is Run number 330
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.2014078 -0.7721612 1.6514078 -13.372161 1
+#> 2 1 -0.95 -2.35 1.3805602 -0.3667444 0.4305602 -2.716744 1
+#> 3 1 -6.20 -2.30 0.3148464 -1.3149346 -5.8851536 -3.614935 2
+#> 4 1 -13.90 -2.55 1.4536262 -1.5521222 -12.4463738 -4.102122 2
+#> 5 1 -14.40 -5.80 0.5691426 -0.4494811 -13.8308574 -6.249481 2
+#> 6 1 -3.60 -1.70 -0.1372707 0.2990096 -3.7372707 -1.400990 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6660 -40100 6075
+#> initial value 998.131940
+#> iter 2 value 797.419252
+#> iter 3 value 785.442034
+#> iter 4 value 782.733413
+#> iter 5 value 750.717645
+#> iter 6 value 741.943265
+#> iter 7 value 740.506463
+#> iter 8 value 740.469232
+#> iter 9 value 740.469146
+#> iter 9 value 740.469136
+#> iter 9 value 740.469129
+#> final value 740.469129
+#> converged
+#> This is Run number 331
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.498349 4.0480043 -1.0483490 -8.551996 1
+#> 2 1 -0.95 -2.35 1.124881 0.4956368 0.1748814 -1.854363 1
+#> 3 1 -6.20 -2.30 1.480164 1.0776677 -4.7198361 -1.222332 2
+#> 4 1 -13.90 -2.55 1.052400 0.5539734 -12.8475997 -1.996027 2
+#> 5 1 -14.40 -5.80 1.328359 1.1621677 -13.0716409 -4.637832 2
+#> 6 1 -3.60 -1.70 1.113688 0.5633360 -2.4863120 -1.136664 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6340 -39150 6550
+#> initial value 998.131940
+#> iter 2 value 809.894170
+#> iter 3 value 797.476439
+#> iter 4 value 795.166803
+#> iter 5 value 760.255640
+#> iter 6 value 751.624165
+#> iter 7 value 750.223422
+#> iter 8 value 750.191202
+#> iter 9 value 750.191144
+#> iter 9 value 750.191134
+#> iter 9 value 750.191128
+#> final value 750.191128
+#> converged
+#> This is Run number 332
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.3830268 -0.1846500 1.833027 -12.7846500 1
+#> 2 1 -0.95 -2.35 -0.4897286 1.5980095 -1.439729 -0.7519905 2
+#> 3 1 -6.20 -2.30 1.2550224 0.9405607 -4.944978 -1.3594393 2
+#> 4 1 -13.90 -2.55 -1.1909683 0.6612989 -15.090968 -1.8887011 2
+#> 5 1 -14.40 -5.80 2.9816990 2.2632610 -11.418301 -3.5367390 2
+#> 6 1 -3.60 -1.70 1.6000323 -0.2105599 -1.999968 -1.9105599 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6220 -39375 6400
+#> initial value 998.131940
+#> iter 2 value 807.335537
+#> iter 3 value 793.988764
+#> iter 4 value 790.869914
+#> iter 5 value 756.832940
+#> iter 6 value 748.153759
+#> iter 7 value 746.766114
+#> iter 8 value 746.733642
+#> iter 9 value 746.733581
+#> iter 9 value 746.733572
+#> iter 9 value 746.733567
+#> final value 746.733567
+#> converged
+#> This is Run number 333
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.0589620 -0.15474069 -1.60896196 -12.75474069 1
+#> 2 1 -0.95 -2.35 -0.3511384 0.01170706 -1.30113837 -2.33829294 1
+#> 3 1 -6.20 -2.30 0.5861452 2.33444235 -5.61385479 0.03444235 2
+#> 4 1 -13.90 -2.55 -0.4451951 0.34134033 -14.34519513 -2.20865967 2
+#> 5 1 -14.40 -5.80 1.2166667 4.20368226 -13.18333330 -1.59631774 2
+#> 6 1 -3.60 -1.70 3.5658421 2.79183590 -0.03415792 1.09183590 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -37475 6425
+#> initial value 998.131940
+#> iter 2 value 834.458349
+#> iter 3 value 825.663412
+#> iter 4 value 824.762800
+#> iter 5 value 784.607062
+#> iter 6 value 776.368431
+#> iter 7 value 774.843259
+#> iter 8 value 774.809969
+#> iter 9 value 774.809896
+#> iter 9 value 774.809894
+#> iter 9 value 774.809894
+#> final value 774.809894
+#> converged
+#> This is Run number 334
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.9370693 1.1731714 1.387069 -11.426829 1
+#> 2 1 -0.95 -2.35 -0.1109525 -0.5582708 -1.060953 -2.908271 1
+#> 3 1 -6.20 -2.30 1.1757224 -0.1306707 -5.024278 -2.430671 2
+#> 4 1 -13.90 -2.55 0.7755591 1.3042647 -13.124441 -1.245735 2
+#> 5 1 -14.40 -5.80 3.8068524 3.3777310 -10.593148 -2.422269 2
+#> 6 1 -3.60 -1.70 -0.3400079 -0.5529537 -3.940008 -2.252954 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -39975 7375
+#> initial value 998.131940
+#> iter 2 value 792.600854
+#> iter 3 value 777.487972
+#> iter 4 value 775.768040
+#> iter 5 value 743.341727
+#> iter 6 value 734.691219
+#> iter 7 value 733.503723
+#> iter 8 value 733.480264
+#> iter 9 value 733.480240
+#> iter 9 value 733.480232
+#> iter 9 value 733.480231
+#> final value 733.480231
+#> converged
+#> This is Run number 335
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.17450730 0.06087795 1.6245073 -12.5391221 1
+#> 2 1 -0.95 -2.35 0.78615543 1.94370318 -0.1638446 -0.4062968 1
+#> 3 1 -6.20 -2.30 -0.35607041 0.49310307 -6.5560704 -1.8068969 2
+#> 4 1 -13.90 -2.55 2.49375070 -0.96443223 -11.4062493 -3.5144322 2
+#> 5 1 -14.40 -5.80 0.06726243 -0.25792727 -14.3327376 -6.0579273 2
+#> 6 1 -3.60 -1.70 0.07467203 0.21506193 -3.5253280 -1.4849381 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6780 -39175 6275
+#> initial value 998.131940
+#> iter 2 value 810.537920
+#> iter 3 value 800.503656
+#> iter 4 value 799.218868
+#> iter 5 value 764.005789
+#> iter 6 value 755.368255
+#> iter 7 value 753.849154
+#> iter 8 value 753.811648
+#> iter 9 value 753.811562
+#> iter 10 value 753.811549
+#> iter 10 value 753.811544
+#> iter 10 value 753.811538
+#> final value 753.811538
+#> converged
+#> This is Run number 336
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.9344689 -0.1999444 -1.484469 -12.7999444 1
+#> 2 1 -0.95 -2.35 -0.2264984 -0.4230930 -1.176498 -2.7730930 1
+#> 3 1 -6.20 -2.30 -0.3654192 1.6548446 -6.565419 -0.6451554 2
+#> 4 1 -13.90 -2.55 0.3353433 0.6751990 -13.564657 -1.8748010 2
+#> 5 1 -14.40 -5.80 3.1321961 1.2437724 -11.267804 -4.5562276 2
+#> 6 1 -3.60 -1.70 0.1995289 0.7236368 -3.400471 -0.9763632 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -37575 7425
+#> initial value 998.131940
+#> iter 2 value 827.724970
+#> iter 3 value 816.322784
+#> iter 4 value 815.665436
+#> iter 5 value 775.809336
+#> iter 6 value 767.501065
+#> iter 7 value 766.166077
+#> iter 8 value 766.140486
+#> iter 9 value 766.140445
+#> iter 10 value 766.140431
+#> iter 10 value 766.140421
+#> iter 10 value 766.140415
+#> final value 766.140415
+#> converged
+#> This is Run number 337
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.19867472 0.08149714 -0.7486747 -12.51850286 1
+#> 2 1 -0.95 -2.35 2.34185369 0.35699970 1.3918537 -1.99300030 1
+#> 3 1 -6.20 -2.30 -0.07446225 -0.10584834 -6.2744622 -2.40584834 2
+#> 4 1 -13.90 -2.55 1.29217815 -0.26625308 -12.6078218 -2.81625308 2
+#> 5 1 -14.40 -5.80 0.06267331 0.48748990 -14.3373267 -5.31251010 2
+#> 6 1 -3.60 -1.70 -1.20717399 1.71801337 -4.8071740 0.01801337 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -37325 7150
+#> initial value 998.131940
+#> iter 2 value 832.593680
+#> iter 3 value 822.704872
+#> iter 4 value 822.319291
+#> iter 5 value 781.668776
+#> iter 6 value 773.426751
+#> iter 7 value 772.024920
+#> iter 8 value 771.996651
+#> iter 9 value 771.996597
+#> iter 10 value 771.996581
+#> iter 10 value 771.996571
+#> iter 10 value 771.996565
+#> final value 771.996565
+#> converged
+#> This is Run number 338
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 3.8362462 -0.1823339 3.286246 -12.782334 1
+#> 2 1 -0.95 -2.35 -0.6571561 0.5452190 -1.607156 -1.804781 1
+#> 3 1 -6.20 -2.30 2.3490039 -1.6625787 -3.850996 -3.962579 1
+#> 4 1 -13.90 -2.55 2.8095248 0.4908367 -11.090475 -2.059163 2
+#> 5 1 -14.40 -5.80 -0.7897648 -0.4467115 -15.189765 -6.246712 2
+#> 6 1 -3.60 -1.70 2.1597726 -0.7062147 -1.440227 -2.406215 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5820 -38150 6775
+#> initial value 998.131940
+#> iter 2 value 823.538814
+#> iter 3 value 810.213233
+#> iter 4 value 807.387565
+#> iter 5 value 769.727475
+#> iter 6 value 761.291007
+#> iter 7 value 759.919689
+#> iter 8 value 759.891325
+#> iter 9 value 759.891282
+#> iter 9 value 759.891272
+#> iter 9 value 759.891267
+#> final value 759.891267
+#> converged
+#> This is Run number 339
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.3524023 -0.9301874 1.802402 -13.5301874 1
+#> 2 1 -0.95 -2.35 0.5030850 3.4490365 -0.446915 1.0990365 2
+#> 3 1 -6.20 -2.30 -0.4448381 1.6999167 -6.644838 -0.6000833 2
+#> 4 1 -13.90 -2.55 0.8116578 1.3919652 -13.088342 -1.1580348 2
+#> 5 1 -14.40 -5.80 -0.6964294 -1.1663204 -15.096429 -6.9663204 2
+#> 6 1 -3.60 -1.70 2.4871416 0.2208575 -1.112858 -1.4791425 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -37250 6350
+#> initial value 998.131940
+#> iter 2 value 837.889089
+#> iter 3 value 829.568678
+#> iter 4 value 828.744820
+#> iter 5 value 787.951013
+#> iter 6 value 779.784982
+#> iter 7 value 778.244580
+#> iter 8 value 778.211266
+#> iter 9 value 778.211191
+#> iter 9 value 778.211188
+#> iter 9 value 778.211188
+#> final value 778.211188
+#> converged
+#> This is Run number 340
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.72489900 0.3149005 2.1748990 -12.28509945 1
+#> 2 1 -0.95 -2.35 0.02140309 1.8697448 -0.9285969 -0.48025524 2
+#> 3 1 -6.20 -2.30 2.10168021 -0.3444461 -4.0983198 -2.64444611 2
+#> 4 1 -13.90 -2.55 -1.01255683 1.3334944 -14.9125568 -1.21650560 2
+#> 5 1 -14.40 -5.80 1.39672169 1.6207472 -13.0032783 -4.17925276 2
+#> 6 1 -3.60 -1.70 0.18949537 1.7284294 -3.4105046 0.02842944 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5880 -37125 7150
+#> initial value 998.131940
+#> iter 2 value 835.619342
+#> iter 3 value 824.321636
+#> iter 4 value 822.911472
+#> iter 5 value 781.978888
+#> iter 6 value 773.811433
+#> iter 7 value 772.455440
+#> iter 8 value 772.429577
+#> iter 9 value 772.429536
+#> iter 10 value 772.429524
+#> iter 10 value 772.429514
+#> iter 10 value 772.429510
+#> final value 772.429510
+#> converged
+#> This is Run number 341
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.7428068 2.2897717 0.1928068 -10.310228 1
+#> 2 1 -0.95 -2.35 0.8053019 -1.6774258 -0.1446981 -4.027426 1
+#> 3 1 -6.20 -2.30 -1.3720056 -0.5339634 -7.5720056 -2.833963 2
+#> 4 1 -13.90 -2.55 -0.1080168 3.0104230 -14.0080168 0.460423 2
+#> 5 1 -14.40 -5.80 -0.9774153 2.2464676 -15.3774153 -3.553532 2
+#> 6 1 -3.60 -1.70 1.4997238 0.1296843 -2.1002762 -1.570316 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6700 -39225 7250
+#> initial value 998.131940
+#> iter 2 value 804.631655
+#> iter 3 value 792.132029
+#> iter 4 value 791.422984
+#> iter 5 value 756.381034
+#> iter 6 value 747.745656
+#> iter 7 value 746.440289
+#> iter 8 value 746.412789
+#> iter 9 value 746.412747
+#> iter 10 value 746.412734
+#> iter 10 value 746.412724
+#> iter 10 value 746.412717
+#> final value 746.412717
+#> converged
+#> This is Run number 342
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.840371383 -1.144275520 1.290371 -13.7442755 1
+#> 2 1 -0.95 -2.35 -0.180659912 0.006129065 -1.130660 -2.3438709 1
+#> 3 1 -6.20 -2.30 0.169224400 -0.777003133 -6.030776 -3.0770031 2
+#> 4 1 -13.90 -2.55 0.828893820 -0.117982112 -13.071106 -2.6679821 2
+#> 5 1 -14.40 -5.80 0.752175670 -0.180421255 -13.647824 -5.9804213 2
+#> 6 1 -3.60 -1.70 0.005402943 2.129517292 -3.594597 0.4295173 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6180 -38625 6825
+#> initial value 998.131940
+#> iter 2 value 816.294918
+#> iter 3 value 803.736142
+#> iter 4 value 801.684681
+#> iter 5 value 765.192114
+#> iter 6 value 756.664611
+#> iter 7 value 755.289655
+#> iter 8 value 755.260043
+#> iter 9 value 755.259994
+#> iter 9 value 755.259984
+#> iter 9 value 755.259977
+#> final value 755.259977
+#> converged
+#> This is Run number 343
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.02531463 0.1906863 -0.5753146 -12.409314 1
+#> 2 1 -0.95 -2.35 -0.61876090 0.4279317 -1.5687609 -1.922068 1
+#> 3 1 -6.20 -2.30 0.18000464 -1.5466374 -6.0199954 -3.846637 2
+#> 4 1 -13.90 -2.55 0.95573340 -0.3893291 -12.9442666 -2.939329 2
+#> 5 1 -14.40 -5.80 5.78483356 -0.1020647 -8.6151664 -5.902065 2
+#> 6 1 -3.60 -1.70 1.73463023 -0.7188000 -1.8653698 -2.418800 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7040 -41025 7575
+#> initial value 998.131940
+#> iter 2 value 773.979879
+#> iter 3 value 758.499143
+#> iter 4 value 757.747071
+#> iter 5 value 728.330119
+#> iter 6 value 719.680609
+#> iter 7 value 718.612603
+#> iter 8 value 718.593152
+#> iter 9 value 718.593129
+#> iter 9 value 718.593122
+#> iter 9 value 718.593116
+#> final value 718.593116
+#> converged
+#> This is Run number 344
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.7692084 0.7352012 0.2192084 -11.8647988 1
+#> 2 1 -0.95 -2.35 -1.8969808 1.2309850 -2.8469808 -1.1190150 2
+#> 3 1 -6.20 -2.30 -0.2699617 3.1934366 -6.4699617 0.8934366 2
+#> 4 1 -13.90 -2.55 0.3955223 -0.9354481 -13.5044777 -3.4854481 2
+#> 5 1 -14.40 -5.80 0.2868132 1.3083763 -14.1131868 -4.4916237 2
+#> 6 1 -3.60 -1.70 2.9389821 0.2635140 -0.6610179 -1.4364860 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6620 -40675 7025
+#> initial value 998.131940
+#> iter 2 value 783.352827
+#> iter 3 value 768.259852
+#> iter 4 value 765.961852
+#> iter 5 value 735.760448
+#> iter 6 value 727.056498
+#> iter 7 value 725.892092
+#> iter 8 value 725.867364
+#> iter 9 value 725.867338
+#> iter 9 value 725.867331
+#> iter 9 value 725.867326
+#> final value 725.867326
+#> converged
+#> This is Run number 345
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.03910911 1.6391779 -0.5891091 -10.9608221 1
+#> 2 1 -0.95 -2.35 0.31517967 2.0893938 -0.6348203 -0.2606062 2
+#> 3 1 -6.20 -2.30 -0.12868398 1.2851888 -6.3286840 -1.0148112 2
+#> 4 1 -13.90 -2.55 -0.69674029 0.3612209 -14.5967403 -2.1887791 2
+#> 5 1 -14.40 -5.80 1.60706151 0.1813545 -12.7929385 -5.6186455 2
+#> 6 1 -3.60 -1.70 -1.33724400 0.0639025 -4.9372440 -1.6360975 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7100 -40200 6400
+#> initial value 998.131940
+#> iter 2 value 793.765130
+#> iter 3 value 783.031321
+#> iter 4 value 781.963710
+#> iter 5 value 749.755901
+#> iter 6 value 740.974387
+#> iter 7 value 739.556976
+#> iter 8 value 739.520995
+#> iter 9 value 739.520919
+#> iter 10 value 739.520907
+#> iter 10 value 739.520901
+#> iter 10 value 739.520894
+#> final value 739.520894
+#> converged
+#> This is Run number 346
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.1421221 0.08251169 -0.6921221 -12.517488 1
+#> 2 1 -0.95 -2.35 0.8369211 0.80858431 -0.1130789 -1.541416 1
+#> 3 1 -6.20 -2.30 2.8699339 -1.02739652 -3.3300661 -3.327397 2
+#> 4 1 -13.90 -2.55 1.2357735 -1.31597203 -12.6642265 -3.865972 2
+#> 5 1 -14.40 -5.80 -0.9792634 -0.70896788 -15.3792634 -6.508968 2
+#> 6 1 -3.60 -1.70 4.3953201 0.30450941 0.7953201 -1.395491 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6560 -39100 5150
+#> initial value 998.131940
+#> iter 2 value 816.875929
+#> iter 3 value 807.145751
+#> iter 4 value 804.227240
+#> iter 5 value 769.235821
+#> iter 6 value 760.606304
+#> iter 7 value 758.824920
+#> iter 8 value 758.773957
+#> iter 9 value 758.773733
+#> iter 10 value 758.773706
+#> iter 10 value 758.773706
+#> iter 11 value 758.773694
+#> iter 11 value 758.773691
+#> iter 11 value 758.773689
+#> final value 758.773689
+#> converged
+#> This is Run number 347
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.4963171 1.54776181 -1.046317 -11.052238 1
+#> 2 1 -0.95 -2.35 -0.4092942 -0.73490196 -1.359294 -3.084902 1
+#> 3 1 -6.20 -2.30 0.9007669 0.06077286 -5.299233 -2.239227 2
+#> 4 1 -13.90 -2.55 -1.1846619 0.96892488 -15.084662 -1.581075 2
+#> 5 1 -14.40 -5.80 0.1620215 -1.08171979 -14.237979 -6.881720 2
+#> 6 1 -3.60 -1.70 1.9468417 -1.12592985 -1.653158 -2.825930 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6280 -39225 7225
+#> initial value 998.131940
+#> iter 2 value 805.120005
+#> iter 3 value 791.017050
+#> iter 4 value 789.157742
+#> iter 5 value 754.461374
+#> iter 6 value 745.862181
+#> iter 7 value 744.591508
+#> iter 8 value 744.565599
+#> iter 9 value 744.565566
+#> iter 9 value 744.565556
+#> iter 9 value 744.565550
+#> final value 744.565550
+#> converged
+#> This is Run number 348
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.1070251 1.3735966 -0.4429749 -11.226403 1
+#> 2 1 -0.95 -2.35 2.5382252 -1.2283300 1.5882252 -3.578330 1
+#> 3 1 -6.20 -2.30 0.3895258 0.2032263 -5.8104742 -2.096774 2
+#> 4 1 -13.90 -2.55 -1.2189927 -0.1188508 -15.1189927 -2.668851 2
+#> 5 1 -14.40 -5.80 2.6274349 0.1071135 -11.7725651 -5.692886 2
+#> 6 1 -3.60 -1.70 2.2582843 -0.6188796 -1.3417157 -2.318880 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7020 -39425 5650
+#> initial value 998.131940
+#> iter 2 value 809.422403
+#> iter 3 value 800.910052
+#> iter 4 value 799.485381
+#> iter 5 value 765.000282
+#> iter 6 value 756.347193
+#> iter 7 value 754.653113
+#> iter 8 value 754.607029
+#> iter 9 value 754.606889
+#> iter 10 value 754.606874
+#> iter 10 value 754.606874
+#> iter 10 value 754.606868
+#> final value 754.606868
+#> converged
+#> This is Run number 349
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.01433267 1.6887938 -0.5643327 -10.9112062 1
+#> 2 1 -0.95 -2.35 0.31574402 1.2191064 -0.6342560 -1.1308936 1
+#> 3 1 -6.20 -2.30 -0.06492914 0.3449202 -6.2649291 -1.9550798 2
+#> 4 1 -13.90 -2.55 3.02505611 0.3281834 -10.8749439 -2.2218166 2
+#> 5 1 -14.40 -5.80 -0.62320971 0.3506439 -15.0232097 -5.4493561 2
+#> 6 1 -3.60 -1.70 -0.16654804 2.6227382 -3.7665480 0.9227382 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6780 -38625 6300
+#> initial value 998.131940
+#> iter 2 value 818.532458
+#> iter 3 value 809.335732
+#> iter 4 value 808.445193
+#> iter 5 value 771.500496
+#> iter 6 value 762.974936
+#> iter 7 value 761.417934
+#> iter 8 value 761.380454
+#> iter 9 value 761.380365
+#> iter 10 value 761.380351
+#> iter 10 value 761.380344
+#> iter 10 value 761.380340
+#> final value 761.380340
+#> converged
+#> This is Run number 350
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 4.0230003 0.833798587 3.473000 -11.766201 1
+#> 2 1 -0.95 -2.35 -1.4871632 -0.615569238 -2.437163 -2.965569 1
+#> 3 1 -6.20 -2.30 -1.0053340 1.572916981 -7.205334 -0.727083 2
+#> 4 1 -13.90 -2.55 1.3485823 -1.433612543 -12.551418 -3.983613 2
+#> 5 1 -14.40 -5.80 1.6443260 -0.004162723 -12.755674 -5.804163 2
+#> 6 1 -3.60 -1.70 -0.7486553 -0.173373405 -4.348655 -1.873373 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -40575 6550
+#> initial value 998.131940
+#> iter 2 value 787.340478
+#> iter 3 value 774.450360
+#> iter 4 value 772.385245
+#> iter 5 value 741.686081
+#> iter 6 value 732.908298
+#> iter 7 value 731.619766
+#> iter 8 value 731.588727
+#> iter 9 value 731.588675
+#> iter 9 value 731.588675
+#> iter 9 value 731.588675
+#> final value 731.588675
+#> converged
+#> This is Run number 351
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -1.0231889 -0.01071702 -1.573189 -12.610717 1
+#> 2 1 -0.95 -2.35 1.9699135 4.06919077 1.019913 1.719191 2
+#> 3 1 -6.20 -2.30 0.5046416 -0.95647561 -5.695358 -3.256476 2
+#> 4 1 -13.90 -2.55 0.8071614 0.44074450 -13.092839 -2.109255 2
+#> 5 1 -14.40 -5.80 0.6271912 -0.35827125 -13.772809 -6.158271 2
+#> 6 1 -3.60 -1.70 2.3725348 -0.35232170 -1.227465 -2.052322 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6320 -40575 7550
+#> initial value 998.131940
+#> iter 2 value 782.134675
+#> iter 3 value 764.430684
+#> iter 4 value 761.753671
+#> iter 5 value 731.521445
+#> iter 6 value 722.946360
+#> iter 7 value 721.865700
+#> iter 8 value 721.846121
+#> iter 8 value 721.846115
+#> final value 721.846115
+#> converged
+#> This is Run number 352
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.1767934 -1.7626297 -0.7267934 -14.3626297 1
+#> 2 1 -0.95 -2.35 4.1777955 1.8719151 3.2277955 -0.4780849 1
+#> 3 1 -6.20 -2.30 2.0225471 1.1616393 -4.1774529 -1.1383607 2
+#> 4 1 -13.90 -2.55 -0.3668602 0.1575424 -14.2668602 -2.3924576 2
+#> 5 1 -14.40 -5.80 -0.4243312 1.9044261 -14.8243312 -3.8955739 2
+#> 6 1 -3.60 -1.70 0.7445153 3.8724074 -2.8554847 2.1724074 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -40350 7950
+#> initial value 998.131940
+#> iter 2 value 783.234317
+#> iter 3 value 765.200002
+#> iter 4 value 763.358892
+#> iter 5 value 732.308498
+#> iter 6 value 723.787577
+#> iter 7 value 722.723758
+#> iter 8 value 722.706459
+#> iter 8 value 722.706452
+#> final value 722.706452
+#> converged
+#> This is Run number 353
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5889278 1.4076894 -1.138928 -11.192311 1
+#> 2 1 -0.95 -2.35 -0.6842479 -0.5114510 -1.634248 -2.861451 1
+#> 3 1 -6.20 -2.30 0.4429901 -0.5546245 -5.757010 -2.854624 2
+#> 4 1 -13.90 -2.55 -0.5745614 0.3328260 -14.474561 -2.217174 2
+#> 5 1 -14.40 -5.80 -0.9843947 -1.1808871 -15.384395 -6.980887 2
+#> 6 1 -3.60 -1.70 1.4004910 0.1947095 -2.199509 -1.505290 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -39075 7150
+#> initial value 998.131940
+#> iter 2 value 807.730018
+#> iter 3 value 794.545094
+#> iter 4 value 793.043329
+#> iter 5 value 757.769096
+#> iter 6 value 749.174792
+#> iter 7 value 747.869024
+#> iter 8 value 747.841730
+#> iter 9 value 747.841691
+#> iter 10 value 747.841680
+#> iter 10 value 747.841671
+#> iter 10 value 747.841665
+#> final value 747.841665
+#> converged
+#> This is Run number 354
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.4956821 0.03096127 -1.045682 -12.569039 1
+#> 2 1 -0.95 -2.35 -0.1474271 -0.19864114 -1.097427 -2.548641 1
+#> 3 1 -6.20 -2.30 1.3401975 0.68786517 -4.859803 -1.612135 2
+#> 4 1 -13.90 -2.55 1.7107599 1.14629727 -12.189240 -1.403703 2
+#> 5 1 -14.40 -5.80 -0.4163354 -1.05937308 -14.816335 -6.859373 2
+#> 6 1 -3.60 -1.70 -0.7355363 -0.33361057 -4.335536 -2.033611 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -38425 6625
+#> initial value 998.131940
+#> iter 2 value 820.035676
+#> iter 3 value 809.586530
+#> iter 4 value 808.421991
+#> iter 5 value 771.038591
+#> iter 6 value 762.546780
+#> iter 7 value 761.083672
+#> iter 8 value 761.050621
+#> iter 9 value 761.050554
+#> iter 10 value 761.050541
+#> iter 10 value 761.050532
+#> iter 10 value 761.050528
+#> final value 761.050528
+#> converged
+#> This is Run number 355
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.1647103 0.07930866 -0.3852897 -12.520691341 1
+#> 2 1 -0.95 -2.35 -0.1424667 0.09561892 -1.0924667 -2.254381083 1
+#> 3 1 -6.20 -2.30 0.1453071 2.29248432 -6.0546929 -0.007515684 2
+#> 4 1 -13.90 -2.55 0.2810925 0.06856221 -13.6189075 -2.481437787 2
+#> 5 1 -14.40 -5.80 0.2624897 0.28416731 -14.1375103 -5.515832692 2
+#> 6 1 -3.60 -1.70 0.1326678 0.87133245 -3.4673322 -0.828667548 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5800 -38275 7200
+#> initial value 998.131940
+#> iter 2 value 819.411201
+#> iter 3 value 805.080679
+#> iter 4 value 802.488279
+#> iter 5 value 765.186242
+#> iter 6 value 756.750302
+#> iter 7 value 755.447849
+#> iter 8 value 755.422520
+#> iter 9 value 755.422489
+#> iter 9 value 755.422479
+#> iter 9 value 755.422474
+#> final value 755.422474
+#> converged
+#> This is Run number 356
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 3.1639730 2.2700330 2.6139730 -10.329967 1
+#> 2 1 -0.95 -2.35 1.9268195 -0.5313038 0.9768195 -2.881304 1
+#> 3 1 -6.20 -2.30 -1.2520206 0.4916557 -7.4520206 -1.808344 2
+#> 4 1 -13.90 -2.55 0.7966865 -0.2261394 -13.1033135 -2.776139 2
+#> 5 1 -14.40 -5.80 0.9265471 -0.9538936 -13.4734529 -6.753894 2
+#> 6 1 -3.60 -1.70 1.3908764 -0.4156827 -2.2091236 -2.115683 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6960 -39750 5700
+#> initial value 998.131940
+#> iter 2 value 804.298384
+#> iter 3 value 794.943756
+#> iter 4 value 793.129145
+#> iter 5 value 759.748662
+#> iter 6 value 751.032268
+#> iter 7 value 749.398314
+#> iter 8 value 749.353398
+#> iter 9 value 749.353266
+#> iter 10 value 749.353252
+#> iter 10 value 749.353252
+#> iter 10 value 749.353245
+#> final value 749.353245
+#> converged
+#> This is Run number 357
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.2163244 2.0755156 -0.7663244 -10.524484 1
+#> 2 1 -0.95 -2.35 0.1444617 2.7800720 -0.8055383 0.430072 2
+#> 3 1 -6.20 -2.30 4.1538867 1.2051474 -2.0461133 -1.094853 2
+#> 4 1 -13.90 -2.55 0.1143133 0.2053682 -13.7856867 -2.344632 2
+#> 5 1 -14.40 -5.80 0.2530071 -0.7430220 -14.1469929 -6.543022 2
+#> 6 1 -3.60 -1.70 -0.4340374 -0.4435678 -4.0340374 -2.143568 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7540 -37625 5175
+#> initial value 998.131940
+#> iter 2 value 836.630691
+#> iter 3 value 832.151170
+#> iter 4 value 832.119520
+#> iter 5 value 791.884196
+#> iter 6 value 783.886878
+#> iter 7 value 781.937015
+#> iter 8 value 781.889829
+#> iter 9 value 781.889663
+#> iter 9 value 781.889653
+#> iter 9 value 781.889648
+#> final value 781.889648
+#> converged
+#> This is Run number 358
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.06739831 0.69529612 -0.6173983 -11.9047039 1
+#> 2 1 -0.95 -2.35 0.81668059 -0.03531337 -0.1333194 -2.3853134 1
+#> 3 1 -6.20 -2.30 0.72046779 0.85285334 -5.4795322 -1.4471467 2
+#> 4 1 -13.90 -2.55 -0.15622525 0.10450807 -14.0562253 -2.4454919 2
+#> 5 1 -14.40 -5.80 -0.90321422 0.52869760 -15.3032142 -5.2713024 2
+#> 6 1 -3.60 -1.70 1.58720911 2.46149805 -2.0127909 0.7614981 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6760 -38125 6750
+#> initial value 998.131940
+#> iter 2 value 823.398595
+#> iter 3 value 813.994851
+#> iter 4 value 813.612432
+#> iter 5 value 775.153250
+#> iter 6 value 766.723202
+#> iter 7 value 765.234403
+#> iter 8 value 765.200888
+#> iter 9 value 765.200814
+#> iter 10 value 765.200797
+#> iter 10 value 765.200787
+#> iter 10 value 765.200783
+#> final value 765.200783
+#> converged
+#> This is Run number 359
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.6188256 -0.06815642 0.06882556 -12.668156 1
+#> 2 1 -0.95 -2.35 0.5141668 0.12498910 -0.43583323 -2.225011 1
+#> 3 1 -6.20 -2.30 0.3418607 -0.47637036 -5.85813935 -2.776370 2
+#> 4 1 -13.90 -2.55 0.7931820 -1.18340333 -13.10681803 -3.733403 2
+#> 5 1 -14.40 -5.80 0.3194183 0.43100700 -14.08058172 -5.368993 2
+#> 6 1 -3.60 -1.70 0.8196028 -1.63211592 -2.78039724 -3.332116 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -39150 7150
+#> initial value 998.131940
+#> iter 2 value 806.579370
+#> iter 3 value 793.414178
+#> iter 4 value 791.969250
+#> iter 5 value 756.901162
+#> iter 6 value 748.294456
+#> iter 7 value 746.991423
+#> iter 8 value 746.964086
+#> iter 9 value 746.964047
+#> iter 10 value 746.964035
+#> iter 10 value 746.964026
+#> iter 10 value 746.964021
+#> final value 746.964021
+#> converged
+#> This is Run number 360
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.45632825 0.4773167 -1.006328 -12.1226833 1
+#> 2 1 -0.95 -2.35 1.41010702 -0.1876814 0.460107 -2.5376814 1
+#> 3 1 -6.20 -2.30 0.52837584 -0.2807183 -5.671624 -2.5807183 2
+#> 4 1 -13.90 -2.55 1.14854173 3.1284415 -12.751458 0.5784415 2
+#> 5 1 -14.40 -5.80 0.19964892 0.4862284 -14.200351 -5.3137716 2
+#> 6 1 -3.60 -1.70 0.07946421 -0.2202404 -3.520536 -1.9202404 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -36775 6425
+#> initial value 998.131940
+#> iter 2 value 843.966177
+#> iter 3 value 835.715227
+#> iter 4 value 834.837824
+#> iter 5 value 792.798838
+#> iter 6 value 784.774229
+#> iter 7 value 783.273462
+#> iter 8 value 783.242586
+#> iter 9 value 783.242520
+#> iter 9 value 783.242516
+#> iter 9 value 783.242516
+#> final value 783.242516
+#> converged
+#> This is Run number 361
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.51498132 2.4538083 -0.03501868 -10.1461917 1
+#> 2 1 -0.95 -2.35 -0.71842931 -0.9474839 -1.66842931 -3.2974839 1
+#> 3 1 -6.20 -2.30 0.05002474 -0.6330070 -6.14997526 -2.9330070 2
+#> 4 1 -13.90 -2.55 0.16714203 -0.3488155 -13.73285797 -2.8988155 2
+#> 5 1 -14.40 -5.80 1.91759542 0.6568617 -12.48240458 -5.1431383 2
+#> 6 1 -3.60 -1.70 0.66187875 1.3674711 -2.93812125 -0.3325289 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6080 -38875 7300
+#> initial value 998.131940
+#> iter 2 value 810.012725
+#> iter 3 value 795.563277
+#> iter 4 value 793.445374
+#> iter 5 value 757.797076
+#> iter 6 value 749.259800
+#> iter 7 value 747.988233
+#> iter 8 value 747.963147
+#> iter 9 value 747.963116
+#> iter 9 value 747.963106
+#> iter 9 value 747.963101
+#> final value 747.963101
+#> converged
+#> This is Run number 362
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.23390383 -0.1052986 -0.7839038 -12.7052986 1
+#> 2 1 -0.95 -2.35 -0.08126034 1.6060861 -1.0312603 -0.7439139 2
+#> 3 1 -6.20 -2.30 0.51963484 5.4460350 -5.6803652 3.1460350 2
+#> 4 1 -13.90 -2.55 1.09290992 0.7979132 -12.8070901 -1.7520868 2
+#> 5 1 -14.40 -5.80 0.04661247 1.5709687 -14.3533875 -4.2290313 2
+#> 6 1 -3.60 -1.70 1.93927856 -0.5402503 -1.6607214 -2.2402503 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -37025 6000
+#> initial value 998.131940
+#> iter 2 value 842.458362
+#> iter 3 value 835.460265
+#> iter 4 value 834.835288
+#> iter 5 value 793.373097
+#> iter 6 value 785.313892
+#> iter 7 value 783.688344
+#> iter 8 value 783.652790
+#> iter 9 value 783.652701
+#> iter 9 value 783.652699
+#> iter 9 value 783.652699
+#> final value 783.652699
+#> converged
+#> This is Run number 363
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.4375808 2.5347218 -0.9875808 -10.065278 1
+#> 2 1 -0.95 -2.35 0.4008422 -0.5472970 -0.5491578 -2.897297 1
+#> 3 1 -6.20 -2.30 0.4459111 0.0593896 -5.7540889 -2.240610 2
+#> 4 1 -13.90 -2.55 1.4093182 0.4646540 -12.4906818 -2.085346 2
+#> 5 1 -14.40 -5.80 -0.5070267 3.3176282 -14.9070267 -2.482372 2
+#> 6 1 -3.60 -1.70 0.4878147 -0.3172919 -3.1121853 -2.017292 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6220 -39075 7825
+#> initial value 998.131940
+#> iter 2 value 803.797170
+#> iter 3 value 788.358299
+#> iter 4 value 787.012756
+#> iter 5 value 751.851182
+#> iter 6 value 743.322542
+#> iter 7 value 742.132008
+#> iter 8 value 742.111126
+#> iter 8 value 742.111115
+#> final value 742.111115
+#> converged
+#> This is Run number 364
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.01995143 0.53422335 -0.5300486 -12.065777 1
+#> 2 1 -0.95 -2.35 -0.62971605 0.06020800 -1.5797160 -2.289792 1
+#> 3 1 -6.20 -2.30 0.60995632 0.08139514 -5.5900437 -2.218605 2
+#> 4 1 -13.90 -2.55 1.60937819 0.61695081 -12.2906218 -1.933049 2
+#> 5 1 -14.40 -5.80 -0.40124867 0.31516816 -14.8012487 -5.484832 2
+#> 6 1 -3.60 -1.70 2.24563245 -0.54011054 -1.3543676 -2.240111 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7060 -40475 6650
+#> initial value 998.131940
+#> iter 2 value 788.148555
+#> iter 3 value 776.257903
+#> iter 4 value 775.121898
+#> iter 5 value 743.831508
+#> iter 6 value 735.044632
+#> iter 7 value 733.728957
+#> iter 8 value 733.697153
+#> iter 9 value 733.697098
+#> iter 9 value 733.697087
+#> iter 9 value 733.697079
+#> final value 733.697079
+#> converged
+#> This is Run number 365
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.8751368 -0.9911158 0.3251368 -13.591116 1
+#> 2 1 -0.95 -2.35 0.1464418 3.5580936 -0.8035582 1.208094 2
+#> 3 1 -6.20 -2.30 -1.1980566 -0.1028167 -7.3980566 -2.402817 2
+#> 4 1 -13.90 -2.55 2.7824423 -0.6203856 -11.1175577 -3.170386 2
+#> 5 1 -14.40 -5.80 -0.3606440 0.6812046 -14.7606440 -5.118795 2
+#> 6 1 -3.60 -1.70 0.8549905 2.9972896 -2.7450095 1.297290 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6540 -38900 6550
+#> initial value 998.131940
+#> iter 2 value 813.464444
+#> iter 3 value 802.458650
+#> iter 4 value 800.983558
+#> iter 5 value 765.069570
+#> iter 6 value 756.481052
+#> iter 7 value 755.031367
+#> iter 8 value 754.997685
+#> iter 9 value 754.997618
+#> iter 10 value 754.997606
+#> iter 10 value 754.997598
+#> iter 10 value 754.997597
+#> final value 754.997597
+#> converged
+#> This is Run number 366
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.5695015 0.20727390 0.01950149 -12.3927261 1
+#> 2 1 -0.95 -2.35 0.2393554 0.29883996 -0.71064464 -2.0511600 1
+#> 3 1 -6.20 -2.30 2.1657006 -0.19050295 -4.03429936 -2.4905029 2
+#> 4 1 -13.90 -2.55 1.4067805 0.63720574 -12.49321950 -1.9127943 2
+#> 5 1 -14.40 -5.80 0.6878175 -0.06525298 -13.71218248 -5.8652530 2
+#> 6 1 -3.60 -1.70 0.4342491 1.46327143 -3.16575094 -0.2367286 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6080 -37950 6125
+#> initial value 998.131940
+#> iter 2 value 829.572433
+#> iter 3 value 818.815599
+#> iter 4 value 816.389203
+#> iter 5 value 778.008470
+#> iter 6 value 769.620999
+#> iter 7 value 768.093586
+#> iter 8 value 768.059064
+#> iter 9 value 768.058989
+#> iter 9 value 768.058978
+#> iter 9 value 768.058973
+#> final value 768.058973
+#> converged
+#> This is Run number 367
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.1874893 -1.2087198 -0.737489278 -13.8087198 1
+#> 2 1 -0.95 -2.35 0.9526646 0.1423270 0.002664623 -2.2076730 1
+#> 3 1 -6.20 -2.30 1.8403500 1.8578535 -4.359649967 -0.4421465 2
+#> 4 1 -13.90 -2.55 2.8530679 -0.2822310 -11.046932091 -2.8322310 2
+#> 5 1 -14.40 -5.80 -0.8516124 2.7621652 -15.251612433 -3.0378348 2
+#> 6 1 -3.60 -1.70 6.3520478 0.9184675 2.752047773 -0.7815325 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6400 -39375 7975
+#> initial value 998.131940
+#> iter 2 value 798.210136
+#> iter 3 value 782.427358
+#> iter 4 value 781.475501
+#> iter 5 value 747.154833
+#> iter 6 value 738.600097
+#> iter 7 value 737.447510
+#> iter 8 value 737.428186
+#> iter 9 value 737.428165
+#> iter 9 value 737.428157
+#> iter 9 value 737.428148
+#> final value 737.428148
+#> converged
+#> This is Run number 368
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.4062999 2.8343699 -0.1437001 -9.765630 1
+#> 2 1 -0.95 -2.35 1.5973706 -1.5884579 0.6473706 -3.938458 1
+#> 3 1 -6.20 -2.30 0.3456394 -0.4764808 -5.8543606 -2.776481 2
+#> 4 1 -13.90 -2.55 -0.8083315 -0.6385367 -14.7083315 -3.188537 2
+#> 5 1 -14.40 -5.80 1.0850059 0.1068061 -13.3149941 -5.693194 2
+#> 6 1 -3.60 -1.70 0.5018938 3.3553942 -3.0981062 1.655394 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5580 -37275 7000
+#> initial value 998.131940
+#> iter 2 value 834.499348
+#> iter 3 value 821.640321
+#> iter 4 value 819.097887
+#> iter 5 value 778.892110
+#> iter 6 value 770.679340
+#> iter 7 value 769.330882
+#> iter 8 value 769.305245
+#> iter 9 value 769.305209
+#> iter 9 value 769.305199
+#> iter 9 value 769.305194
+#> final value 769.305194
+#> converged
+#> This is Run number 369
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.7902159 -0.8189835 -1.340216 -13.4189835 1
+#> 2 1 -0.95 -2.35 -0.3906358 -0.4260556 -1.340636 -2.7760556 1
+#> 3 1 -6.20 -2.30 1.0894944 1.7445495 -5.110506 -0.5554505 2
+#> 4 1 -13.90 -2.55 -0.1850612 0.6815254 -14.085061 -1.8684746 2
+#> 5 1 -14.40 -5.80 0.6805067 2.3398522 -13.719493 -3.4601478 2
+#> 6 1 -3.60 -1.70 0.5428826 -0.7067463 -3.057117 -2.4067463 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -39800 7750
+#> initial value 998.131940
+#> iter 2 value 792.951216
+#> iter 3 value 777.683514
+#> iter 4 value 776.777968
+#> iter 5 value 743.683178
+#> iter 6 value 735.062785
+#> iter 7 value 733.905691
+#> iter 8 value 733.884880
+#> iter 9 value 733.884862
+#> iter 9 value 733.884859
+#> iter 10 value 733.884845
+#> iter 10 value 733.884836
+#> iter 10 value 733.884834
+#> final value 733.884834
+#> converged
+#> This is Run number 370
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.3909281 -0.6072395 -0.9409281 -13.2072395 1
+#> 2 1 -0.95 -2.35 -0.3691396 1.6925847 -1.3191396 -0.6574153 2
+#> 3 1 -6.20 -2.30 0.3141480 2.4939592 -5.8858520 0.1939592 2
+#> 4 1 -13.90 -2.55 1.6185558 -0.6706478 -12.2814442 -3.2206478 2
+#> 5 1 -14.40 -5.80 2.6666213 -1.3239352 -11.7333787 -7.1239352 2
+#> 6 1 -3.60 -1.70 -0.3682570 -0.4843449 -3.9682570 -2.1843449 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -39150 6975
+#> initial value 998.131940
+#> iter 2 value 807.500091
+#> iter 3 value 795.041824
+#> iter 4 value 793.660719
+#> iter 5 value 758.533229
+#> iter 6 value 749.913357
+#> iter 7 value 748.571412
+#> iter 8 value 748.542120
+#> iter 9 value 748.542073
+#> iter 10 value 748.542061
+#> iter 10 value 748.542052
+#> iter 10 value 748.542046
+#> final value 748.542046
+#> converged
+#> This is Run number 371
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.8273588 1.1024889 2.277359 -11.4975111 1
+#> 2 1 -0.95 -2.35 -0.2498194 -0.4256222 -1.199819 -2.7756222 1
+#> 3 1 -6.20 -2.30 0.8873638 -0.1677692 -5.312636 -2.4677692 2
+#> 4 1 -13.90 -2.55 1.0876094 -0.6882743 -12.812391 -3.2382743 2
+#> 5 1 -14.40 -5.80 -0.9126750 0.8517798 -15.312675 -4.9482202 2
+#> 6 1 -3.60 -1.70 -0.7615486 1.0037164 -4.361549 -0.6962836 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6000 -39000 7725
+#> initial value 998.131940
+#> iter 2 value 805.646106
+#> iter 3 value 789.618798
+#> iter 4 value 787.555409
+#> iter 5 value 752.359711
+#> iter 6 value 743.855228
+#> iter 7 value 742.656718
+#> iter 8 value 742.635422
+#> iter 9 value 742.635403
+#> iter 9 value 742.635397
+#> iter 9 value 742.635394
+#> final value 742.635394
+#> converged
+#> This is Run number 372
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.2984392 2.4489337 -0.8484392 -10.1510663 1
+#> 2 1 -0.95 -2.35 -0.4680845 -0.1391742 -1.4180845 -2.4891742 1
+#> 3 1 -6.20 -2.30 0.8443279 -1.0376599 -5.3556721 -3.3376599 2
+#> 4 1 -13.90 -2.55 -0.8184065 3.0300119 -14.7184065 0.4800119 2
+#> 5 1 -14.40 -5.80 -1.3966762 0.2316948 -15.7966762 -5.5683052 2
+#> 6 1 -3.60 -1.70 -0.8443892 0.8223841 -4.4443892 -0.8776159 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6980 -38750 6975
+#> initial value 998.131940
+#> iter 2 value 812.911051
+#> iter 3 value 802.599545
+#> iter 4 value 802.398700
+#> iter 5 value 765.749538
+#> iter 6 value 757.173248
+#> iter 7 value 755.743221
+#> iter 8 value 755.710822
+#> iter 9 value 755.710754
+#> iter 10 value 755.710736
+#> iter 10 value 755.710727
+#> iter 10 value 755.710719
+#> final value 755.710719
+#> converged
+#> This is Run number 373
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.40311048 0.6188739 -0.1468895 -11.98112608 1
+#> 2 1 -0.95 -2.35 -0.07586796 3.8948570 -1.0258680 1.54485697 2
+#> 3 1 -6.20 -2.30 0.26682261 2.3918669 -5.9331774 0.09186686 2
+#> 4 1 -13.90 -2.55 -0.57302935 1.1657545 -14.4730293 -1.38424551 2
+#> 5 1 -14.40 -5.80 -1.04429617 0.3873057 -15.4442962 -5.41269430 2
+#> 6 1 -3.60 -1.70 -0.07368434 -0.8095394 -3.6736843 -2.50953943 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6560 -38525 6175
+#> initial value 998.131940
+#> iter 2 value 820.813180
+#> iter 3 value 811.159712
+#> iter 4 value 809.679208
+#> iter 5 value 772.638315
+#> iter 6 value 764.135057
+#> iter 7 value 762.576863
+#> iter 8 value 762.539612
+#> iter 9 value 762.539525
+#> iter 10 value 762.539513
+#> iter 10 value 762.539507
+#> iter 10 value 762.539505
+#> final value 762.539505
+#> converged
+#> This is Run number 374
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.0094982 1.0977488 0.4594982 -11.502251 1
+#> 2 1 -0.95 -2.35 0.1242718 -0.1444734 -0.8257282 -2.494473 1
+#> 3 1 -6.20 -2.30 2.6413519 -0.6005646 -3.5586481 -2.900565 2
+#> 4 1 -13.90 -2.55 3.2114058 0.8292145 -10.6885942 -1.720785 2
+#> 5 1 -14.40 -5.80 -0.9376428 1.5703528 -15.3376428 -4.229647 2
+#> 6 1 -3.60 -1.70 0.9083187 1.2261480 -2.6916813 -0.473852 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5680 -38625 6800
+#> initial value 998.131940
+#> iter 2 value 816.578230
+#> iter 3 value 801.196248
+#> iter 4 value 797.396418
+#> iter 5 value 761.347269
+#> iter 6 value 752.802784
+#> iter 7 value 751.486929
+#> iter 8 value 751.459930
+#> iter 9 value 751.459893
+#> iter 9 value 751.459885
+#> iter 9 value 751.459881
+#> final value 751.459881
+#> converged
+#> This is Run number 375
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.8416216 0.4739841 0.2916216 -12.1260159 1
+#> 2 1 -0.95 -2.35 0.7674261 1.9003111 -0.1825739 -0.4496889 1
+#> 3 1 -6.20 -2.30 -0.1642891 0.5924705 -6.3642891 -1.7075295 2
+#> 4 1 -13.90 -2.55 -1.2235572 0.3337879 -15.1235572 -2.2162121 2
+#> 5 1 -14.40 -5.80 1.9947066 3.4438550 -12.4052934 -2.3561450 2
+#> 6 1 -3.60 -1.70 0.4160676 -0.4382540 -3.1839324 -2.1382540 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5680 -37725 6675
+#> initial value 998.131940
+#> iter 2 value 830.066285
+#> iter 3 value 817.050882
+#> iter 4 value 814.099169
+#> iter 5 value 775.240155
+#> iter 6 value 766.894687
+#> iter 7 value 765.505296
+#> iter 8 value 765.477041
+#> iter 9 value 765.476996
+#> iter 9 value 765.476987
+#> iter 9 value 765.476983
+#> final value 765.476983
+#> converged
+#> This is Run number 376
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.6336797 0.3933123 0.08367973 -12.2066877 1
+#> 2 1 -0.95 -2.35 0.8934883 1.6525625 -0.05651167 -0.6974375 1
+#> 3 1 -6.20 -2.30 1.9000939 0.8107729 -4.29990613 -1.4892271 2
+#> 4 1 -13.90 -2.55 2.1753895 1.2698681 -11.72461046 -1.2801319 2
+#> 5 1 -14.40 -5.80 2.0232928 1.8456050 -12.37670722 -3.9543950 2
+#> 6 1 -3.60 -1.70 2.1533809 0.2632653 -1.44661913 -1.4367347 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7020 -39125 6575
+#> initial value 998.131940
+#> iter 2 value 809.477345
+#> iter 3 value 799.713789
+#> iter 4 value 799.231085
+#> iter 5 value 763.657755
+#> iter 6 value 755.020669
+#> iter 7 value 753.528709
+#> iter 8 value 753.492554
+#> iter 9 value 753.492472
+#> iter 10 value 753.492456
+#> iter 10 value 753.492446
+#> iter 10 value 753.492439
+#> final value 753.492439
+#> converged
+#> This is Run number 377
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.6985567 1.0295795 2.1485567 -11.5704205 1
+#> 2 1 -0.95 -2.35 1.4779324 1.3619245 0.5279324 -0.9880755 1
+#> 3 1 -6.20 -2.30 0.6740668 1.5149367 -5.5259332 -0.7850633 2
+#> 4 1 -13.90 -2.55 1.2484564 1.8452279 -12.6515436 -0.7047721 2
+#> 5 1 -14.40 -5.80 1.7680666 -1.0564887 -12.6319334 -6.8564887 2
+#> 6 1 -3.60 -1.70 0.5286699 0.8785516 -3.0713301 -0.8214484 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6920 -39200 6350
+#> initial value 998.131940
+#> iter 2 value 809.632558
+#> iter 3 value 799.928793
+#> iter 4 value 799.041545
+#> iter 5 value 763.775590
+#> iter 6 value 755.131952
+#> iter 7 value 753.611110
+#> iter 8 value 753.573484
+#> iter 9 value 753.573397
+#> iter 10 value 753.573383
+#> iter 10 value 753.573376
+#> iter 10 value 753.573369
+#> final value 753.573369
+#> converged
+#> This is Run number 378
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.6366927 1.6028180 0.08669266 -10.99718195 1
+#> 2 1 -0.95 -2.35 1.6326450 2.1872964 0.68264500 -0.16270357 1
+#> 3 1 -6.20 -2.30 0.1648658 -0.2870617 -6.03513422 -2.58706174 2
+#> 4 1 -13.90 -2.55 0.6211208 -0.8389696 -13.27887924 -3.38896964 2
+#> 5 1 -14.40 -5.80 0.1086370 1.7454727 -14.29136297 -4.05452735 2
+#> 6 1 -3.60 -1.70 1.7543899 1.7103005 -1.84561007 0.01030046 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5900 -38450 8125
+#> initial value 998.131940
+#> iter 2 value 811.211263
+#> iter 3 value 795.105425
+#> iter 4 value 793.571699
+#> iter 5 value 756.627645
+#> iter 6 value 748.224357
+#> iter 7 value 747.044111
+#> iter 8 value 747.025357
+#> iter 9 value 747.025339
+#> iter 9 value 747.025332
+#> iter 9 value 747.025324
+#> final value 747.025324
+#> converged
+#> This is Run number 379
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.4299685 0.3667506 -0.1200315 -12.233249 1
+#> 2 1 -0.95 -2.35 0.6316911 0.3922987 -0.3183089 -1.957701 1
+#> 3 1 -6.20 -2.30 -0.2325828 0.2415930 -6.4325828 -2.058407 2
+#> 4 1 -13.90 -2.55 -0.0566559 0.6890830 -13.9566559 -1.860917 2
+#> 5 1 -14.40 -5.80 -0.1040032 1.4518417 -14.5040032 -4.348158 2
+#> 6 1 -3.60 -1.70 0.8550014 0.2665985 -2.7449986 -1.433401 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6920 -41625 7525
+#> initial value 998.131940
+#> iter 2 value 764.397068
+#> iter 3 value 747.441781
+#> iter 4 value 745.870165
+#> iter 5 value 718.539216
+#> iter 6 value 710.004995
+#> iter 7 value 709.018109
+#> iter 8 value 709.000720
+#> iter 9 value 709.000705
+#> iter 9 value 709.000702
+#> iter 9 value 709.000702
+#> final value 709.000702
+#> converged
+#> This is Run number 380
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 2.9233471 -0.2593132 2.373347 -12.8593132 1
+#> 2 1 -0.95 -2.35 2.0873200 2.1207258 1.137320 -0.2292742 1
+#> 3 1 -6.20 -2.30 0.9967502 1.6615115 -5.203250 -0.6384885 2
+#> 4 1 -13.90 -2.55 -0.4637537 0.8230316 -14.363754 -1.7269684 2
+#> 5 1 -14.40 -5.80 1.6764089 0.5599035 -12.723591 -5.2400965 2
+#> 6 1 -3.60 -1.70 -0.1407450 -0.1025925 -3.740745 -1.8025925 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -39800 7200
+#> initial value 998.131940
+#> iter 2 value 796.501366
+#> iter 3 value 780.971417
+#> iter 4 value 778.392952
+#> iter 5 value 745.649741
+#> iter 6 value 737.009404
+#> iter 7 value 735.798112
+#> iter 8 value 735.773603
+#> iter 9 value 735.773577
+#> iter 9 value 735.773570
+#> iter 9 value 735.773565
+#> final value 735.773565
+#> converged
+#> This is Run number 381
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.98134842 2.1886455 -1.531348 -10.41135446 1
+#> 2 1 -0.95 -2.35 -0.95216744 -0.1455566 -1.902167 -2.49555657 1
+#> 3 1 -6.20 -2.30 -0.69298069 2.2827336 -6.892981 -0.01726645 2
+#> 4 1 -13.90 -2.55 0.08347104 0.9776597 -13.816529 -1.57234034 2
+#> 5 1 -14.40 -5.80 -0.04771824 -0.3847907 -14.447718 -6.18479073 2
+#> 6 1 -3.60 -1.70 1.16966859 2.2530089 -2.430331 0.55300889 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5720 -36125 7525
+#> initial value 998.131940
+#> iter 2 value 846.520309
+#> iter 3 value 836.101753
+#> iter 4 value 835.218213
+#> iter 5 value 791.396658
+#> iter 6 value 783.511009
+#> iter 7 value 782.218537
+#> iter 8 value 782.196578
+#> iter 9 value 782.196545
+#> iter 10 value 782.196533
+#> iter 10 value 782.196525
+#> iter 10 value 782.196520
+#> final value 782.196520
+#> converged
+#> This is Run number 382
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.02408941 -0.3231195 -0.5740894 -12.9231195 1
+#> 2 1 -0.95 -2.35 -0.28691271 1.3415195 -1.2369127 -1.0084805 2
+#> 3 1 -6.20 -2.30 -0.69591141 0.8037257 -6.8959114 -1.4962743 2
+#> 4 1 -13.90 -2.55 0.97163116 2.0660749 -12.9283688 -0.4839251 2
+#> 5 1 -14.40 -5.80 2.51790328 1.9915539 -11.8820967 -3.8084461 2
+#> 6 1 -3.60 -1.70 0.88624229 -1.9995759 -2.7137577 -3.6995759 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6900 -40700 5975
+#> initial value 998.131940
+#> iter 2 value 788.075215
+#> iter 3 value 776.338320
+#> iter 4 value 773.726556
+#> iter 5 value 743.491964
+#> iter 6 value 734.672884
+#> iter 7 value 733.264983
+#> iter 8 value 733.226944
+#> iter 9 value 733.226852
+#> iter 9 value 733.226843
+#> iter 9 value 733.226835
+#> final value 733.226835
+#> converged
+#> This is Run number 383
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.4022502 -0.75425242 -0.9522502 -13.354252 1
+#> 2 1 -0.95 -2.35 0.6445126 -0.06195407 -0.3054874 -2.411954 1
+#> 3 1 -6.20 -2.30 -1.0436236 -0.09434359 -7.2436236 -2.394344 2
+#> 4 1 -13.90 -2.55 -0.3128351 0.79290920 -14.2128351 -1.757091 2
+#> 5 1 -14.40 -5.80 -1.0383794 0.10552442 -15.4383794 -5.694476 2
+#> 6 1 -3.60 -1.70 1.0426777 0.35749799 -2.5573223 -1.342502 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -38400 7300
+#> initial value 998.131940
+#> iter 2 value 816.854078
+#> iter 3 value 804.130658
+#> iter 4 value 802.881237
+#> iter 5 value 765.561760
+#> iter 6 value 757.085971
+#> iter 7 value 755.767722
+#> iter 8 value 755.741401
+#> iter 9 value 755.741362
+#> iter 10 value 755.741350
+#> iter 10 value 755.741340
+#> iter 10 value 755.741334
+#> final value 755.741334
+#> converged
+#> This is Run number 384
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.86016070 2.09920781 0.3101607 -10.5007922 1
+#> 2 1 -0.95 -2.35 4.86636467 -0.61936208 3.9163647 -2.9693621 1
+#> 3 1 -6.20 -2.30 0.22126184 0.08310593 -5.9787382 -2.2168941 2
+#> 4 1 -13.90 -2.55 -1.26723880 1.85423949 -15.1672388 -0.6957605 2
+#> 5 1 -14.40 -5.80 0.37560552 2.73209412 -14.0243945 -3.0679059 2
+#> 6 1 -3.60 -1.70 0.06485589 1.80668976 -3.5351441 0.1066898 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6060 -38750 6700
+#> initial value 998.131940
+#> iter 2 value 815.191067
+#> iter 3 value 801.930440
+#> iter 4 value 799.233029
+#> iter 5 value 763.277896
+#> iter 6 value 754.720174
+#> iter 7 value 753.348200
+#> iter 8 value 753.318367
+#> iter 9 value 753.318318
+#> iter 9 value 753.318309
+#> iter 9 value 753.318304
+#> final value 753.318304
+#> converged
+#> This is Run number 385
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5750582 0.7749512 -1.1250582 -11.825049 1
+#> 2 1 -0.95 -2.35 1.7181055 3.5591389 0.7681055 1.209139 2
+#> 3 1 -6.20 -2.30 1.8240353 -0.4220063 -4.3759647 -2.722006 2
+#> 4 1 -13.90 -2.55 4.0793705 -0.7976963 -9.8206295 -3.347696 2
+#> 5 1 -14.40 -5.80 1.7985952 0.8337251 -12.6014048 -4.966275 2
+#> 6 1 -3.60 -1.70 -0.7872331 2.6730500 -4.3872331 0.973050 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6340 -37200 7475
+#> initial value 998.131940
+#> iter 2 value 832.449713
+#> iter 3 value 821.863762
+#> iter 4 value 821.556165
+#> iter 5 value 780.569566
+#> iter 6 value 772.343081
+#> iter 7 value 771.001017
+#> iter 8 value 770.975645
+#> iter 9 value 770.975602
+#> iter 10 value 770.975587
+#> iter 10 value 770.975579
+#> iter 10 value 770.975572
+#> final value 770.975572
+#> converged
+#> This is Run number 386
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.5546662 -0.67921366 1.0046662 -13.2792137 1
+#> 2 1 -0.95 -2.35 0.4346368 0.01529455 -0.5153632 -2.3347055 1
+#> 3 1 -6.20 -2.30 2.4643902 1.98883111 -3.7356098 -0.3111689 2
+#> 4 1 -13.90 -2.55 -1.3766436 0.71933013 -15.2766436 -1.8306699 2
+#> 5 1 -14.40 -5.80 -1.0012224 1.04021914 -15.4012224 -4.7597809 2
+#> 6 1 -3.60 -1.70 -0.6257157 0.14101634 -4.2257157 -1.5589837 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6040 -37725 6400
+#> initial value 998.131940
+#> iter 2 value 831.381448
+#> iter 3 value 820.595030
+#> iter 4 value 818.501825
+#> iter 5 value 779.408249
+#> iter 6 value 771.083088
+#> iter 7 value 769.605764
+#> iter 8 value 769.573850
+#> iter 9 value 769.573788
+#> iter 9 value 769.573778
+#> iter 9 value 769.573773
+#> final value 769.573773
+#> converged
+#> This is Run number 387
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.1934979 0.5068392 0.6434979 -12.093161 1
+#> 2 1 -0.95 -2.35 -0.3887606 0.7939239 -1.3387606 -1.556076 1
+#> 3 1 -6.20 -2.30 1.4601304 -0.8008198 -4.7398696 -3.100820 2
+#> 4 1 -13.90 -2.55 0.4544119 0.7148145 -13.4455881 -1.835186 2
+#> 5 1 -14.40 -5.80 0.9843404 0.2833669 -13.4156596 -5.516633 2
+#> 6 1 -3.60 -1.70 -0.5844084 -1.1428747 -4.1844084 -2.842875 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6660 -38875 6375
+#> initial value 998.131940
+#> iter 2 value 814.618530
+#> iter 3 value 804.447411
+#> iter 4 value 803.156669
+#> iter 5 value 767.082485
+#> iter 6 value 758.499976
+#> iter 7 value 756.995069
+#> iter 8 value 756.959054
+#> iter 9 value 756.958975
+#> iter 10 value 756.958963
+#> iter 10 value 756.958956
+#> iter 10 value 756.958954
+#> final value 756.958954
+#> converged
+#> This is Run number 388
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.36159854 -0.61719830 0.8115985 -13.2171983 1
+#> 2 1 -0.95 -2.35 -0.06827419 -1.02220040 -1.0182742 -3.3722004 1
+#> 3 1 -6.20 -2.30 -1.12219955 -0.95754697 -7.3221995 -3.2575470 2
+#> 4 1 -13.90 -2.55 -0.72812885 -0.06459167 -14.6281289 -2.6145917 2
+#> 5 1 -14.40 -5.80 0.71409152 -1.03773856 -13.6859085 -6.8377386 2
+#> 6 1 -3.60 -1.70 -0.79821620 1.08541548 -4.3982162 -0.6145845 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6720 -39925 6150
+#> initial value 998.131940
+#> iter 2 value 799.745642
+#> iter 3 value 788.312436
+#> iter 4 value 786.072679
+#> iter 5 value 753.394435
+#> iter 6 value 744.643204
+#> iter 7 value 743.188895
+#> iter 8 value 743.151675
+#> iter 9 value 743.151591
+#> iter 9 value 743.151581
+#> iter 9 value 743.151574
+#> final value 743.151574
+#> converged
+#> This is Run number 389
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.2616386 1.4979140 0.7116386 -11.1020860 1
+#> 2 1 -0.95 -2.35 1.2850819 -0.1074828 0.3350819 -2.4574828 1
+#> 3 1 -6.20 -2.30 1.0901391 0.6865399 -5.1098609 -1.6134601 2
+#> 4 1 -13.90 -2.55 -0.6815610 1.5983537 -14.5815610 -0.9516463 2
+#> 5 1 -14.40 -5.80 -0.7099566 0.0504715 -15.1099566 -5.7495285 2
+#> 6 1 -3.60 -1.70 2.7168153 1.1040768 -0.8831847 -0.5959232 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -38950 7150
+#> initial value 998.131940
+#> iter 2 value 809.511573
+#> iter 3 value 796.974740
+#> iter 4 value 795.840962
+#> iter 5 value 760.079997
+#> iter 6 value 751.495065
+#> iter 7 value 750.168892
+#> iter 8 value 750.140925
+#> iter 9 value 750.140882
+#> iter 10 value 750.140869
+#> iter 10 value 750.140859
+#> iter 10 value 750.140853
+#> final value 750.140853
+#> converged
+#> This is Run number 390
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.0300587 -0.05836067 0.4800587 -12.6583607 1
+#> 2 1 -0.95 -2.35 -0.6573730 1.95293425 -1.6073730 -0.3970657 2
+#> 3 1 -6.20 -2.30 1.1908195 1.06384082 -5.0091805 -1.2361592 2
+#> 4 1 -13.90 -2.55 0.6757082 -0.30707691 -13.2242918 -2.8570769 2
+#> 5 1 -14.40 -5.80 1.3173434 0.29613831 -13.0826566 -5.5038617 2
+#> 6 1 -3.60 -1.70 -0.6502400 0.72564662 -4.2502400 -0.9743534 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -39375 6400
+#> initial value 998.131940
+#> iter 2 value 806.835596
+#> iter 3 value 796.471155
+#> iter 4 value 795.313944
+#> iter 5 value 760.665973
+#> iter 6 value 751.992247
+#> iter 7 value 750.512155
+#> iter 8 value 750.475792
+#> iter 9 value 750.475712
+#> iter 10 value 750.475700
+#> iter 10 value 750.475693
+#> iter 10 value 750.475687
+#> final value 750.475687
+#> converged
+#> This is Run number 391
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.1793078 0.0597127 0.6293078 -12.540287 1
+#> 2 1 -0.95 -2.35 3.8157788 0.7884374 2.8657788 -1.561563 1
+#> 3 1 -6.20 -2.30 1.6935533 0.8035916 -4.5064467 -1.496408 2
+#> 4 1 -13.90 -2.55 2.4354232 0.3897652 -11.4645768 -2.160235 2
+#> 5 1 -14.40 -5.80 1.9754951 -0.7870454 -12.4245049 -6.587045 2
+#> 6 1 -3.60 -1.70 -0.8367366 -0.4017785 -4.4367366 -2.101778 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5700 -36925 6475
+#> initial value 998.131940
+#> iter 2 value 841.964213
+#> iter 3 value 831.073092
+#> iter 4 value 828.757340
+#> iter 5 value 787.527215
+#> iter 6 value 779.419312
+#> iter 7 value 777.984234
+#> iter 8 value 777.955670
+#> iter 9 value 777.955620
+#> iter 9 value 777.955611
+#> iter 9 value 777.955606
+#> final value 777.955606
+#> converged
+#> This is Run number 392
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.98760318 0.5246833 1.437603 -12.075317 1
+#> 2 1 -0.95 -2.35 2.50915485 0.2717297 1.559155 -2.078270 1
+#> 3 1 -6.20 -2.30 1.15533925 0.6709925 -5.044661 -1.629008 2
+#> 4 1 -13.90 -2.55 -0.32659327 -0.2357859 -14.226593 -2.785786 2
+#> 5 1 -14.40 -5.80 1.64875434 1.5635779 -12.751246 -4.236422 2
+#> 6 1 -3.60 -1.70 -0.03715614 0.6983324 -3.637156 -1.001668 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -39050 6950
+#> initial value 998.131940
+#> iter 2 value 809.148236
+#> iter 3 value 796.850569
+#> iter 4 value 795.466566
+#> iter 5 value 760.037556
+#> iter 6 value 751.432168
+#> iter 7 value 750.078961
+#> iter 8 value 750.049374
+#> iter 9 value 750.049325
+#> iter 10 value 750.049313
+#> iter 10 value 750.049304
+#> iter 10 value 750.049298
+#> final value 750.049298
+#> converged
+#> This is Run number 393
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.5609193 0.8057181 0.01091932 -11.794282 1
+#> 2 1 -0.95 -2.35 -0.2319742 -0.2740095 -1.18197415 -2.624010 1
+#> 3 1 -6.20 -2.30 2.6065732 0.3612030 -3.59342683 -1.938797 2
+#> 4 1 -13.90 -2.55 -0.1184011 -0.3454797 -14.01840113 -2.895480 2
+#> 5 1 -14.40 -5.80 -0.5362941 0.9843056 -14.93629406 -4.815694 2
+#> 6 1 -3.60 -1.70 -0.5271261 -0.7200434 -4.12712612 -2.420043 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5900 -37575 5900
+#> initial value 998.131940
+#> iter 2 value 835.910071
+#> iter 3 value 825.124327
+#> iter 4 value 822.340933
+#> iter 5 value 782.985077
+#> iter 6 value 774.678965
+#> iter 7 value 773.122856
+#> iter 8 value 773.088035
+#> iter 9 value 773.087952
+#> iter 10 value 773.087940
+#> iter 10 value 773.087940
+#> iter 10 value 773.087937
+#> final value 773.087937
+#> converged
+#> This is Run number 394
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 1.87306595 0.7340686 1.323066 -11.8659314 1
+#> 2 1 -0.95 -2.35 3.55007143 1.5317993 2.600071 -0.8182007 1
+#> 3 1 -6.20 -2.30 1.92309765 -0.6364091 -4.276902 -2.9364091 2
+#> 4 1 -13.90 -2.55 0.73380606 1.9614065 -13.166194 -0.5885935 2
+#> 5 1 -14.40 -5.80 -0.06800317 2.3975514 -14.468003 -3.4024486 2
+#> 6 1 -3.60 -1.70 2.02615738 0.5378184 -1.573843 -1.1621816 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -38350 6475
+#> initial value 998.131940
+#> iter 2 value 821.954559
+#> iter 3 value 811.576562
+#> iter 4 value 810.124366
+#> iter 5 value 772.601574
+#> iter 6 value 764.129285
+#> iter 7 value 762.643118
+#> iter 8 value 762.609300
+#> iter 9 value 762.609230
+#> iter 9 value 762.609230
+#> iter 9 value 762.609230
+#> final value 762.609230
+#> converged
+#> This is Run number 395
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.5197825 0.2284862 -1.06978247 -12.3715138 1
+#> 2 1 -0.95 -2.35 0.9222157 -0.1965568 -0.02778429 -2.5465568 1
+#> 3 1 -6.20 -2.30 0.4212002 0.9388130 -5.77879980 -1.3611870 2
+#> 4 1 -13.90 -2.55 -0.5108112 0.3571466 -14.41081125 -2.1928534 2
+#> 5 1 -14.40 -5.80 0.5565217 0.1597867 -13.84347832 -5.6402133 2
+#> 6 1 -3.60 -1.70 0.7062580 2.1187989 -2.89374204 0.4187989 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6700 -39600 6375
+#> initial value 998.131940
+#> iter 2 value 803.678521
+#> iter 3 value 792.391759
+#> iter 4 value 790.634522
+#> iter 5 value 756.855822
+#> iter 6 value 748.150599
+#> iter 7 value 746.710049
+#> iter 8 value 746.674721
+#> iter 9 value 746.674648
+#> iter 9 value 746.674637
+#> iter 9 value 746.674630
+#> final value 746.674630
+#> converged
+#> This is Run number 396
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.7716232 -0.07867748 0.2216232 -12.678677 1
+#> 2 1 -0.95 -2.35 1.2084628 0.55151828 0.2584628 -1.798482 1
+#> 3 1 -6.20 -2.30 1.2289188 -0.84870033 -4.9710812 -3.148700 2
+#> 4 1 -13.90 -2.55 0.5936138 1.28716332 -13.3063862 -1.262837 2
+#> 5 1 -14.40 -5.80 0.7854765 0.07561280 -13.6145235 -5.724387 2
+#> 6 1 -3.60 -1.70 -0.8077821 -0.18979441 -4.4077821 -1.889794 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6320 -38550 5950
+#> initial value 998.131940
+#> iter 2 value 821.700769
+#> iter 3 value 811.158228
+#> iter 4 value 808.737250
+#> iter 5 value 772.053890
+#> iter 6 value 763.530926
+#> iter 7 value 761.959675
+#> iter 8 value 761.921551
+#> iter 9 value 761.921456
+#> iter 10 value 761.921444
+#> iter 10 value 761.921444
+#> iter 10 value 761.921440
+#> final value 761.921440
+#> converged
+#> This is Run number 397
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.09800931 0.07762348 -0.6480093 -12.5223765 1
+#> 2 1 -0.95 -2.35 -0.71189947 -1.03019867 -1.6618995 -3.3801987 1
+#> 3 1 -6.20 -2.30 -0.42530173 0.32014262 -6.6253017 -1.9798574 2
+#> 4 1 -13.90 -2.55 1.41832048 1.19219493 -12.4816795 -1.3578051 2
+#> 5 1 -14.40 -5.80 0.05305799 0.86979775 -14.3469420 -4.9302023 2
+#> 6 1 -3.60 -1.70 -0.51863770 2.55608217 -4.1186377 0.8560822 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6700 -37325 5775
+#> initial value 998.131940
+#> iter 2 value 839.352210
+#> iter 3 value 832.595632
+#> iter 4 value 831.896448
+#> iter 5 value 791.251158
+#> iter 6 value 783.120603
+#> iter 7 value 781.427220
+#> iter 8 value 781.388647
+#> iter 9 value 781.388543
+#> iter 9 value 781.388532
+#> iter 9 value 781.388527
+#> final value 781.388527
+#> converged
+#> This is Run number 398
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 -0.005288403 2.1169402 -0.5552884 -10.4830598 1
+#> 2 1 -0.95 -2.35 -0.472443097 1.5677220 -1.4224431 -0.7822780 2
+#> 3 1 -6.20 -2.30 1.991515053 1.9780401 -4.2084849 -0.3219599 2
+#> 4 1 -13.90 -2.55 0.630065536 -0.7929014 -13.2699345 -3.3429014 2
+#> 5 1 -14.40 -5.80 0.060043352 -0.5819580 -14.3399566 -6.3819580 2
+#> 6 1 -3.60 -1.70 1.788968914 0.2464999 -1.8110311 -1.4535001 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -38100 6650
+#> initial value 998.131940
+#> iter 2 value 824.558933
+#> iter 3 value 814.553368
+#> iter 4 value 813.575052
+#> iter 5 value 775.206284
+#> iter 6 value 766.789392
+#> iter 7 value 765.316547
+#> iter 8 value 765.283844
+#> iter 9 value 765.283777
+#> iter 10 value 765.283763
+#> iter 10 value 765.283753
+#> iter 10 value 765.283747
+#> final value 765.283747
+#> converged
+#> This is Run number 399
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.04688664 -1.2120014 -0.5031134 -13.812001 1
+#> 2 1 -0.95 -2.35 -0.13104231 1.0593395 -1.0810423 -1.290660 1
+#> 3 1 -6.20 -2.30 -0.32275209 -0.4262292 -6.5227521 -2.726229 2
+#> 4 1 -13.90 -2.55 0.20126180 -0.2126988 -13.6987382 -2.762699 2
+#> 5 1 -14.40 -5.80 0.50840447 -0.2068077 -13.8915955 -6.006808 2
+#> 6 1 -3.60 -1.70 -1.41150988 -1.3783189 -5.0115099 -3.078319 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6180 -39400 7425
+#> initial value 998.131940
+#> iter 2 value 801.363611
+#> iter 3 value 785.961565
+#> iter 4 value 783.821350
+#> iter 5 value 749.788339
+#> iter 6 value 741.201845
+#> iter 7 value 739.985822
+#> iter 8 value 739.962368
+#> iter 9 value 739.962345
+#> iter 9 value 739.962336
+#> iter 9 value 739.962330
+#> final value 739.962330
+#> converged
+#> This is Run number 400
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 7 80 25 100 60 200 100 1
+#> 2 1 19 20 25 50 60 25 0 1
+#> 3 1 30 20 100 50 80 50 100 1
+#> 4 1 32 40 200 25 80 25 0 1
+#> 5 1 39 40 200 0 80 100 100 1
+#> 6 1 48 60 50 25 20 50 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -12.60 0.2217718 0.20697389 -0.32822816 -12.393026 1
+#> 2 1 -0.95 -2.35 1.0128797 -1.03146229 0.06287967 -3.381462 1
+#> 3 1 -6.20 -2.30 0.8820241 -1.11248262 -5.31797587 -3.412483 2
+#> 4 1 -13.90 -2.55 1.8566836 -0.79412064 -12.04331641 -3.344121 2
+#> 5 1 -14.40 -5.80 -0.7138804 -0.27749917 -15.11388043 -6.077499 2
+#> 6 1 -3.60 -1.70 3.4019058 0.01002359 -0.19809417 -1.689976 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6200 -38975 6950
+#> initial value 998.131940
+#> iter 2 value 810.452373
+#> iter 3 value 797.032710
+#> iter 4 value 794.853280
+#> iter 5 value 759.452026
+#> iter 6 value 750.870833
+#> iter 7 value 749.542047
+#> iter 8 value 749.513770
+#> iter 9 value 749.513728
+#> iter 9 value 749.513718
+#> iter 9 value 749.513712
+#> final value 749.513712
+#> converged
+#>
+#>
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ====
+#> \ vars n mean sd median min max range skew kurtosis se
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ====
+#> est_bpreis 1 400 -0.01 0.00 -0.01 -0.01 0.00 0.01 0.14 -0.09 0.00
+#> est_blade 2 400 -0.01 0.00 -0.01 -0.02 -0.01 0.00 -0.01 0.00 0.00
+#> est_bwarte 3 400 0.01 0.00 0.01 0.00 0.01 0.01 0.12 -0.21 0.00
+#> rob_pval0_bpreis 4 400 0.08 0.14 0.03 0.00 0.89 0.89 3.12 11.56 0.01
+#> rob_pval0_blade 5 400 0.00 0.00 0.00 0.00 0.00 0.00 NaN NaN 0.00
+#> rob_pval0_bwarte 6 400 0.00 0.00 0.00 0.00 0.02 0.02 12.43 157.23 0.00
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ====
+#>
+#> FALSE TRUE
+#> 39.5 60.5
+#> 'simple' is deprecated and will be removed in the future. Use 'exact' instead.
+#> bcoeff_lookup already exists; skipping modification.
+#> Utility function used in simulation, ie the true utility:
+#>
+#> $u1
+#> $u1$v1
+#> V.1 ~ bpreis * alt1.x1 + blade * alt1.x2 + bwarte * alt1.x3
+#> <environment: 0x5cc5fa59c340>
+#>
+#> $u1$v2
+#> V.2 ~ bpreis * alt2.x1 + blade * alt2.x2 + bwarte * alt2.x3
+#> <environment: 0x5cc5ff73c3f8>
+#>
+#>
+#> $u2
+#> $u2$v1
+#> V.1 ~ bpreis * alt1.x1
+#> <environment: 0x5cc5fa47aac8>
+#>
+#> $u2$v2
+#> V.2 ~ bpreis * alt2.x1
+#> <environment: 0x5cc602342058>
+#> 'destype' is deprecated. Please use 'designtype' instead.
+#> New names:
+#>
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.4067198 2.2592227 1.0567198 -9.9407773 1
+#> 2 1 -6.20 -3.90 0.3349690 -0.8642693 -5.8650310 -4.7642693 2
+#> 3 1 -14.20 -5.80 1.3866982 1.1314531 -12.8133018 -4.6685469 2
+#> 4 1 -2.10 -13.20 0.4485455 0.1741001 -1.6514545 -13.0258999 1
+#> 5 1 -1.70 -4.30 0.9047444 0.7390266 -0.7952556 -3.5609734 1
+#> 6 1 -6.90 -1.55 -1.0202728 1.2444422 -7.9202728 -0.3055578 2
+#>
+#>
+#> Transformed utility function (type: simple ):
+#> [1] "U_1 = @bpreis * $alt1_x1 + @blade * $alt1_x2 + @bwarte * $alt1_x3 ;U_2 = @bpreis * $alt2_x1 + @blade * $alt2_x2 + @bwarte * $alt2_x3 ;"
+#> This is Run number 1
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.7319505 0.11444472 -3.0819505 -12.085555 1
+#> 2 1 -6.20 -3.90 1.4362204 0.42102585 -4.7637796 -3.478974 2
+#> 3 1 -14.20 -5.80 0.6587789 1.32408012 -13.5412211 -4.475920 2
+#> 4 1 -2.10 -13.20 2.7182567 0.10518714 0.6182567 -13.094813 1
+#> 5 1 -1.70 -4.30 -0.9148015 -0.52089662 -2.6148015 -4.820897 1
+#> 6 1 -6.90 -1.55 -1.0560936 -0.01388186 -7.9560936 -1.563882 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4720 -38550 7325
+#> initial value 998.131940
+#> iter 2 value 825.310412
+#> iter 3 value 821.153371
+#> iter 4 value 816.651404
+#> iter 5 value 770.388073
+#> iter 6 value 760.396657
+#> iter 7 value 758.911258
+#> iter 8 value 758.884143
+#> iter 9 value 758.884012
+#> iter 10 value 758.883964
+#> iter 10 value 758.883961
+#> iter 10 value 758.883954
+#> final value 758.883954
+#> converged
+#> This is Run number 2
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.2295296 -0.8751128 -3.5795296 -13.075113 1
+#> 2 1 -6.20 -3.90 0.1574216 1.1650507 -6.0425784 -2.734949 2
+#> 3 1 -14.20 -5.80 0.5427261 0.5174867 -13.6572739 -5.282513 2
+#> 4 1 -2.10 -13.20 -0.2517136 3.6272465 -2.3517136 -9.572754 1
+#> 5 1 -1.70 -4.30 0.8085399 -0.6735272 -0.8914601 -4.973527 1
+#> 6 1 -6.90 -1.55 -0.5439133 -0.8040005 -7.4439133 -2.354000 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4280 -37750 7575
+#> initial value 998.131940
+#> iter 2 value 834.994815
+#> iter 3 value 830.862279
+#> iter 4 value 825.857090
+#> iter 5 value 776.264858
+#> iter 6 value 766.555380
+#> iter 7 value 765.023705
+#> iter 8 value 764.998426
+#> iter 9 value 764.998337
+#> iter 10 value 764.998279
+#> iter 10 value 764.998279
+#> iter 10 value 764.998275
+#> final value 764.998275
+#> converged
+#> This is Run number 3
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.7322418 3.6273303 -3.0822418 -8.572670 1
+#> 2 1 -6.20 -3.90 2.5280089 0.9755771 -3.6719911 -2.924423 2
+#> 3 1 -14.20 -5.80 -0.3422426 1.1968711 -14.5422426 -4.603129 2
+#> 4 1 -2.10 -13.20 -1.2580096 0.2338313 -3.3580096 -12.966169 1
+#> 5 1 -1.70 -4.30 1.1329713 0.1901108 -0.5670287 -4.109889 1
+#> 6 1 -6.90 -1.55 -0.6143258 -0.3320346 -7.5143258 -1.882035 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3980 -35800 9850
+#> initial value 998.131940
+#> iter 2 value 845.231568
+#> iter 3 value 824.696946
+#> iter 4 value 824.248186
+#> iter 5 value 783.361872
+#> iter 6 value 776.267336
+#> iter 7 value 775.643166
+#> iter 8 value 775.621372
+#> iter 9 value 775.621110
+#> iter 10 value 775.620878
+#> iter 11 value 775.620621
+#> iter 12 value 775.620511
+#> iter 12 value 775.620511
+#> iter 12 value 775.620511
+#> final value 775.620511
+#> converged
+#> This is Run number 4
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.1297209 0.52518522 -3.4797209 -11.674815 1
+#> 2 1 -6.20 -3.90 2.4520130 1.04414498 -3.7479870 -2.855855 2
+#> 3 1 -14.20 -5.80 2.4018497 0.92780739 -11.7981503 -4.872193 2
+#> 4 1 -2.10 -13.20 1.5132752 0.59761188 -0.5867248 -12.602388 1
+#> 5 1 -1.70 -4.30 1.4571803 0.07054883 -0.2428197 -4.229451 1
+#> 6 1 -6.90 -1.55 -0.1447297 3.01532050 -7.0447297 1.465321 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4740 -37775 7100
+#> initial value 998.131940
+#> iter 2 value 837.590811
+#> iter 3 value 834.923861
+#> iter 4 value 831.190558
+#> iter 5 value 782.541478
+#> iter 6 value 772.727586
+#> iter 7 value 771.203023
+#> iter 8 value 771.173745
+#> iter 9 value 771.173710
+#> iter 10 value 771.173539
+#> iter 10 value 771.173539
+#> iter 11 value 771.173507
+#> iter 12 value 771.173490
+#> iter 12 value 771.173489
+#> iter 12 value 771.173486
+#> final value 771.173486
+#> converged
+#> This is Run number 5
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.7052337 -0.01113643 -1.644766 -12.211136 1
+#> 2 1 -6.20 -3.90 -0.9929875 1.54859296 -7.192987 -2.351407 2
+#> 3 1 -14.20 -5.80 -0.8621834 3.35798866 -15.062183 -2.442011 2
+#> 4 1 -2.10 -13.20 0.3661770 1.04306171 -1.733823 -12.156938 1
+#> 5 1 -1.70 -4.30 -0.2749495 0.49903110 -1.974949 -3.800969 1
+#> 6 1 -6.90 -1.55 1.9017416 0.20376958 -4.998258 -1.346230 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -38025 7525
+#> initial value 998.131940
+#> iter 2 value 831.778853
+#> iter 3 value 830.002808
+#> iter 4 value 827.116558
+#> iter 5 value 778.357684
+#> iter 6 value 768.524369
+#> iter 7 value 767.041356
+#> iter 8 value 767.013562
+#> iter 9 value 767.013261
+#> iter 10 value 767.013063
+#> iter 10 value 767.013062
+#> iter 11 value 767.013045
+#> iter 12 value 767.013001
+#> iter 12 value 767.013001
+#> iter 12 value 767.012999
+#> final value 767.012999
+#> converged
+#> This is Run number 6
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.05385395 -0.6374426 -2.403854 -12.837443 1
+#> 2 1 -6.20 -3.90 -0.03725587 -0.4194024 -6.237256 -4.319402 2
+#> 3 1 -14.20 -5.80 1.81374075 -0.9260723 -12.386259 -6.726072 2
+#> 4 1 -2.10 -13.20 -0.50216610 0.2567539 -2.602166 -12.943246 1
+#> 5 1 -1.70 -4.30 0.53083692 0.2043818 -1.169163 -4.095618 1
+#> 6 1 -6.90 -1.55 0.39289697 4.4403211 -6.507103 2.890321 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -36175 8200
+#> initial value 998.131940
+#> iter 2 value 852.431655
+#> iter 3 value 838.279037
+#> iter 4 value 837.676018
+#> iter 5 value 795.711241
+#> iter 6 value 787.815682
+#> iter 7 value 786.665519
+#> iter 8 value 786.628507
+#> iter 9 value 786.627917
+#> iter 10 value 786.627731
+#> iter 11 value 786.627493
+#> iter 12 value 786.627347
+#> iter 12 value 786.627347
+#> iter 12 value 786.627347
+#> final value 786.627347
+#> converged
+#> This is Run number 7
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.2145506 -0.9101014 -2.135449 -13.1101014 1
+#> 2 1 -6.20 -3.90 0.5533264 1.9511195 -5.646674 -1.9488805 2
+#> 3 1 -14.20 -5.80 -1.1585438 0.6832981 -15.358544 -5.1167019 2
+#> 4 1 -2.10 -13.20 -0.6593329 0.2395157 -2.759333 -12.9604843 1
+#> 5 1 -1.70 -4.30 -0.3714403 -0.1176897 -2.071440 -4.4176897 1
+#> 6 1 -6.90 -1.55 0.5245958 1.2349465 -6.375404 -0.3150535 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3880 -37175 7875
+#> initial value 998.131940
+#> iter 2 value 840.717972
+#> iter 3 value 836.460799
+#> iter 4 value 830.879941
+#> iter 5 value 778.615877
+#> iter 6 value 769.152550
+#> iter 7 value 767.574797
+#> iter 8 value 767.551216
+#> iter 8 value 767.551216
+#> final value 767.551216
+#> converged
+#> This is Run number 8
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.2892283 0.7829595 -2.639228 -11.417040 1
+#> 2 1 -6.20 -3.90 0.9495775 -0.9723260 -5.250423 -4.872326 2
+#> 3 1 -14.20 -5.80 0.1064353 2.1516768 -14.093565 -3.648323 2
+#> 4 1 -2.10 -13.20 0.5013370 2.0012226 -1.598663 -11.198777 1
+#> 5 1 -1.70 -4.30 0.1789177 0.9749531 -1.521082 -3.325047 1
+#> 6 1 -6.90 -1.55 1.2743899 1.7829220 -5.625610 0.232922 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -37125 7300
+#> initial value 998.131940
+#> iter 2 value 845.078792
+#> iter 3 value 841.817304
+#> iter 4 value 837.254910
+#> iter 5 value 785.962000
+#> iter 6 value 776.408451
+#> iter 7 value 774.862606
+#> iter 8 value 774.836293
+#> iter 9 value 774.836222
+#> iter 10 value 774.836169
+#> iter 10 value 774.836168
+#> iter 10 value 774.836160
+#> final value 774.836160
+#> converged
+#> This is Run number 9
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.6909745 1.0868451 -3.040974 -11.1131549 1
+#> 2 1 -6.20 -3.90 0.1503257 3.1449802 -6.049674 -0.7550198 2
+#> 3 1 -14.20 -5.80 -0.9296206 -0.4196626 -15.129621 -6.2196626 2
+#> 4 1 -2.10 -13.20 0.1293581 2.2839048 -1.970642 -10.9160952 1
+#> 5 1 -1.70 -4.30 -0.3476424 1.2378285 -2.047642 -3.0621715 1
+#> 6 1 -6.90 -1.55 0.7593131 -0.4419187 -6.140687 -1.9919187 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3920 -35800 9050
+#> initial value 998.131940
+#> iter 2 value 851.001999
+#> iter 3 value 832.983518
+#> iter 4 value 831.764257
+#> iter 5 value 789.120672
+#> iter 6 value 781.686178
+#> iter 7 value 780.796413
+#> iter 8 value 780.764223
+#> iter 9 value 780.763688
+#> iter 10 value 780.763551
+#> iter 11 value 780.763385
+#> iter 12 value 780.763273
+#> iter 12 value 780.763273
+#> iter 12 value 780.763273
+#> final value 780.763273
+#> converged
+#> This is Run number 10
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.2878232 0.21470560 -2.637823 -11.985294 1
+#> 2 1 -6.20 -3.90 0.1954157 1.81243376 -6.004584 -2.087566 2
+#> 3 1 -14.20 -5.80 -0.5789778 0.40708226 -14.778978 -5.392918 2
+#> 4 1 -2.10 -13.20 4.2857778 -0.36017762 2.185778 -13.560178 1
+#> 5 1 -1.70 -4.30 -0.2196795 1.76443561 -1.919679 -2.535564 1
+#> 6 1 -6.90 -1.55 0.4892240 -0.06706601 -6.410776 -1.617066 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -37275 9275
+#> initial value 998.131940
+#> iter 2 value 830.624563
+#> iter 3 value 812.196231
+#> iter 4 value 811.384449
+#> iter 5 value 771.887319
+#> iter 6 value 764.075665
+#> iter 7 value 763.246978
+#> iter 8 value 763.209214
+#> iter 9 value 763.208609
+#> iter 10 value 763.208327
+#> iter 11 value 763.208033
+#> iter 12 value 763.207960
+#> iter 12 value 763.207960
+#> iter 12 value 763.207960
+#> final value 763.207960
+#> converged
+#> This is Run number 11
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.3936919 -0.2443918 -1.956308 -12.444392 1
+#> 2 1 -6.20 -3.90 -0.2718327 0.0466080 -6.471833 -3.853392 2
+#> 3 1 -14.20 -5.80 -1.2377716 1.1402276 -15.437772 -4.659772 2
+#> 4 1 -2.10 -13.20 4.3819161 -1.0371597 2.281916 -14.237160 1
+#> 5 1 -1.70 -4.30 0.6550745 -0.3523469 -1.044925 -4.652347 1
+#> 6 1 -6.90 -1.55 0.3616460 0.2859499 -6.538354 -1.264050 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4200 -38250 8450
+#> initial value 998.131940
+#> iter 2 value 822.511961
+#> iter 3 value 818.363656
+#> iter 4 value 813.532954
+#> iter 5 value 763.923355
+#> iter 6 value 754.322033
+#> iter 7 value 752.769627
+#> iter 8 value 752.746351
+#> iter 9 value 752.746276
+#> iter 10 value 752.746118
+#> iter 10 value 752.746115
+#> iter 10 value 752.746107
+#> final value 752.746107
+#> converged
+#> This is Run number 12
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.1565560 4.2978838 -0.1934440 -7.9021162 1
+#> 2 1 -6.20 -3.90 0.7194092 2.1767754 -5.4805908 -1.7232246 2
+#> 3 1 -14.20 -5.80 2.1606670 -0.5126003 -12.0393330 -6.3126003 2
+#> 4 1 -2.10 -13.20 -1.1897251 1.7594412 -3.2897251 -11.4405588 1
+#> 5 1 -1.70 -4.30 1.0239231 0.6546142 -0.6760769 -3.6453858 1
+#> 6 1 -6.90 -1.55 -1.1935798 0.6107404 -8.0935798 -0.9392596 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -37700 8225
+#> initial value 998.131940
+#> iter 2 value 831.903199
+#> iter 3 value 830.115835
+#> iter 4 value 826.780464
+#> iter 5 value 775.391236
+#> iter 6 value 765.828773
+#> iter 7 value 764.307418
+#> iter 8 value 764.283799
+#> iter 9 value 764.283629
+#> iter 10 value 764.283507
+#> iter 10 value 764.283503
+#> iter 11 value 764.283458
+#> iter 12 value 764.283374
+#> iter 12 value 764.283368
+#> iter 12 value 764.283368
+#> final value 764.283368
+#> converged
+#> This is Run number 13
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.4740991 2.02404962 -2.824099 -10.175950 1
+#> 2 1 -6.20 -3.90 1.5845029 0.28002640 -4.615497 -3.619974 2
+#> 3 1 -14.20 -5.80 1.2377882 -0.70639653 -12.962212 -6.506397 2
+#> 4 1 -2.10 -13.20 -0.4920876 0.49082851 -2.592088 -12.709171 1
+#> 5 1 -1.70 -4.30 -0.4617310 0.04827574 -2.161731 -4.251724 1
+#> 6 1 -6.90 -1.55 0.8715223 -1.29838773 -6.028478 -2.848388 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -38850 8950
+#> initial value 998.131940
+#> iter 2 value 810.750095
+#> iter 3 value 808.118962
+#> iter 4 value 805.642437
+#> iter 5 value 756.871744
+#> iter 6 value 747.251102
+#> iter 7 value 745.713749
+#> iter 8 value 745.690615
+#> iter 9 value 745.690413
+#> iter 10 value 745.690210
+#> iter 10 value 745.690205
+#> iter 11 value 745.690171
+#> iter 12 value 745.690157
+#> iter 12 value 745.690154
+#> iter 13 value 745.690139
+#> iter 14 value 745.690127
+#> iter 14 value 745.690125
+#> iter 14 value 745.690125
+#> final value 745.690125
+#> converged
+#> This is Run number 14
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.42455157 0.1152696 -1.9254484 -12.0847304 1
+#> 2 1 -6.20 -3.90 0.08346348 0.8884457 -6.1165365 -3.0115543 2
+#> 3 1 -14.20 -5.80 1.20013917 -0.4530278 -12.9998608 -6.2530278 2
+#> 4 1 -2.10 -13.20 1.98972840 1.0847762 -0.1102716 -12.1152238 1
+#> 5 1 -1.70 -4.30 0.11247627 0.5792154 -1.5875237 -3.7207846 1
+#> 6 1 -6.90 -1.55 1.57090220 2.2902244 -5.3290978 0.7402244 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -37350 8125
+#> initial value 998.131940
+#> iter 2 value 837.328108
+#> iter 3 value 836.166848
+#> iter 4 value 833.010943
+#> iter 5 value 780.564460
+#> iter 6 value 771.081929
+#> iter 7 value 769.561564
+#> iter 8 value 769.537529
+#> iter 9 value 769.537244
+#> iter 10 value 769.537120
+#> iter 10 value 769.537111
+#> iter 10 value 769.537100
+#> final value 769.537100
+#> converged
+#> This is Run number 15
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.1918681 3.4090631 -2.1581319 -8.790937 1
+#> 2 1 -6.20 -3.90 -0.2645194 0.3125024 -6.4645194 -3.587498 2
+#> 3 1 -14.20 -5.80 0.4719808 2.2698821 -13.7280192 -3.530118 2
+#> 4 1 -2.10 -13.20 -1.0987583 0.1187937 -3.1987583 -13.081206 1
+#> 5 1 -1.70 -4.30 1.8079772 0.7633315 0.1079772 -3.536669 1
+#> 6 1 -6.90 -1.55 2.1257787 -0.5221384 -4.7742213 -2.072138 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5040 -38075 8325
+#> initial value 998.131940
+#> iter 2 value 826.242674
+#> iter 3 value 826.003131
+#> iter 4 value 824.636608
+#> iter 5 value 774.324871
+#> iter 6 value 764.580289
+#> iter 7 value 763.074809
+#> iter 8 value 763.049968
+#> iter 9 value 763.049748
+#> iter 10 value 763.049634
+#> iter 11 value 763.049606
+#> iter 12 value 763.049274
+#> iter 12 value 763.049274
+#> iter 12 value 763.049274
+#> final value 763.049274
+#> converged
+#> This is Run number 16
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.2651461 -0.4113575 -1.084854 -12.6113575 1
+#> 2 1 -6.20 -3.90 1.3529913 1.5229075 -4.847009 -2.3770925 2
+#> 3 1 -14.20 -5.80 0.3084988 0.5483560 -13.891501 -5.2516440 2
+#> 4 1 -2.10 -13.20 0.5304605 -0.1648219 -1.569540 -13.3648219 1
+#> 5 1 -1.70 -4.30 -0.2476335 0.8715403 -1.947633 -3.4284597 1
+#> 6 1 -6.90 -1.55 0.9365203 0.5906034 -5.963480 -0.9593966 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -36300 7650
+#> initial value 998.131940
+#> iter 2 value 854.173206
+#> iter 3 value 841.432938
+#> iter 4 value 840.281623
+#> iter 5 value 797.653485
+#> iter 6 value 789.628204
+#> iter 7 value 788.153963
+#> iter 8 value 788.102437
+#> iter 9 value 788.101627
+#> iter 10 value 788.101449
+#> iter 11 value 788.101237
+#> iter 12 value 788.101099
+#> iter 12 value 788.101099
+#> iter 12 value 788.101099
+#> final value 788.101099
+#> converged
+#> This is Run number 17
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 6.1638485 0.4776054 3.8138485 -11.722395 1
+#> 2 1 -6.20 -3.90 1.2891821 -0.9421834 -4.9108179 -4.842183 2
+#> 3 1 -14.20 -5.80 0.8159298 0.2965880 -13.3840702 -5.503412 2
+#> 4 1 -2.10 -13.20 0.4088749 1.7626748 -1.6911251 -11.437325 1
+#> 5 1 -1.70 -4.30 1.8168295 0.1880587 0.1168295 -4.111941 1
+#> 6 1 -6.90 -1.55 1.8250701 0.3183898 -5.0749299 -1.231610 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5020 -37950 7550
+#> initial value 998.131940
+#> iter 2 value 832.727257
+#> iter 3 value 831.725068
+#> iter 4 value 829.475310
+#> iter 5 value 780.350914
+#> iter 6 value 770.524082
+#> iter 7 value 769.038864
+#> iter 8 value 769.009817
+#> iter 9 value 769.009538
+#> iter 10 value 769.009427
+#> iter 11 value 769.009414
+#> iter 12 value 769.009110
+#> iter 12 value 769.009110
+#> iter 12 value 769.009110
+#> final value 769.009110
+#> converged
+#> This is Run number 18
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.1713109 0.2794148 -3.521311 -11.920585 1
+#> 2 1 -6.20 -3.90 0.2835647 1.1816846 -5.916435 -2.718315 2
+#> 3 1 -14.20 -5.80 1.0865846 0.1951784 -13.113415 -5.604822 2
+#> 4 1 -2.10 -13.20 -0.3939160 -0.3043081 -2.493916 -13.504308 1
+#> 5 1 -1.70 -4.30 -0.1644935 -1.0311772 -1.864494 -5.331177 1
+#> 6 1 -6.90 -1.55 3.4643930 4.2741223 -3.435607 2.724122 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4020 -35600 8675
+#> initial value 998.131940
+#> iter 2 value 856.112219
+#> iter 3 value 839.539953
+#> iter 4 value 838.313043
+#> iter 5 value 795.027697
+#> iter 6 value 787.528633
+#> iter 7 value 786.523255
+#> iter 8 value 786.489326
+#> iter 9 value 786.488773
+#> iter 10 value 786.488629
+#> iter 11 value 786.488467
+#> iter 12 value 786.488360
+#> iter 12 value 786.488360
+#> iter 12 value 786.488360
+#> final value 786.488360
+#> converged
+#> This is Run number 19
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.37400935 -0.7450607 -3.724009 -12.945061 1
+#> 2 1 -6.20 -3.90 -0.08352759 1.0874457 -6.283528 -2.812554 2
+#> 3 1 -14.20 -5.80 1.40145401 -0.1174018 -12.798546 -5.917402 2
+#> 4 1 -2.10 -13.20 -1.51563727 1.3599491 -3.615637 -11.840051 1
+#> 5 1 -1.70 -4.30 0.44860060 0.3905686 -1.251399 -3.909431 1
+#> 6 1 -6.90 -1.55 0.27158974 -0.6420536 -6.628410 -2.192054 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5260 -40225 8050
+#> initial value 998.131940
+#> iter 2 value 795.676754
+#> iter 3 value 791.303413
+#> iter 4 value 788.323962
+#> iter 5 value 746.513628
+#> iter 6 value 736.518658
+#> iter 7 value 735.141203
+#> iter 8 value 735.117266
+#> iter 9 value 735.117056
+#> iter 10 value 735.116628
+#> iter 11 value 735.116609
+#> iter 12 value 735.116474
+#> iter 12 value 735.116474
+#> iter 12 value 735.116474
+#> final value 735.116474
+#> converged
+#> This is Run number 20
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.2144009 -0.86481610 -2.564401 -13.064816 1
+#> 2 1 -6.20 -3.90 -1.3853106 -1.65350286 -7.585311 -5.553503 2
+#> 3 1 -14.20 -5.80 0.1451558 -0.52504721 -14.054844 -6.325047 2
+#> 4 1 -2.10 -13.20 0.8084614 -0.03173075 -1.291539 -13.231731 1
+#> 5 1 -1.70 -4.30 0.6589040 -0.11177173 -1.041096 -4.411772 1
+#> 6 1 -6.90 -1.55 -0.6975627 0.45258704 -7.597563 -1.097413 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4780 -36250 7250
+#> initial value 998.131940
+#> iter 2 value 857.111653
+#> iter 3 value 845.559907
+#> iter 4 value 844.274380
+#> iter 5 value 801.199265
+#> iter 6 value 793.157004
+#> iter 7 value 791.458031
+#> iter 8 value 791.398462
+#> iter 9 value 791.397571
+#> iter 10 value 791.397401
+#> iter 11 value 791.397189
+#> iter 12 value 791.397055
+#> iter 12 value 791.397055
+#> iter 12 value 791.397055
+#> final value 791.397055
+#> converged
+#> This is Run number 21
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.3703675 1.1503162 0.02036752 -11.049684 1
+#> 2 1 -6.20 -3.90 1.4733011 1.4447841 -4.72669887 -2.455216 2
+#> 3 1 -14.20 -5.80 0.7403851 -0.5302634 -13.45961492 -6.330263 2
+#> 4 1 -2.10 -13.20 -0.4780235 6.3332672 -2.57802349 -6.866733 1
+#> 5 1 -1.70 -4.30 -0.8151027 -1.4223288 -2.51510272 -5.722329 1
+#> 6 1 -6.90 -1.55 2.0824132 0.1129708 -4.81758677 -1.437029 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4580 -36925 8150
+#> initial value 998.131940
+#> iter 2 value 842.977619
+#> iter 3 value 828.454046
+#> iter 4 value 827.179798
+#> iter 5 value 785.975479
+#> iter 6 value 777.816126
+#> iter 7 value 776.551710
+#> iter 8 value 776.502040
+#> iter 9 value 776.501156
+#> iter 10 value 776.500984
+#> iter 11 value 776.500800
+#> iter 12 value 776.500657
+#> iter 12 value 776.500657
+#> iter 12 value 776.500657
+#> final value 776.500657
+#> converged
+#> This is Run number 22
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.6900697 1.0958959 -1.659930 -11.104104 1
+#> 2 1 -6.20 -3.90 1.1771276 5.0803128 -5.022872 1.180313 2
+#> 3 1 -14.20 -5.80 1.5275729 3.5040715 -12.672427 -2.295928 2
+#> 4 1 -2.10 -13.20 0.7674494 3.1030246 -1.332551 -10.096975 1
+#> 5 1 -1.70 -4.30 0.4678916 2.6639779 -1.232108 -1.636022 1
+#> 6 1 -6.90 -1.55 3.8644370 0.2558699 -3.035563 -1.294130 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4640 -36125 8275
+#> initial value 998.131940
+#> iter 2 value 852.575541
+#> iter 3 value 838.159059
+#> iter 4 value 837.565116
+#> iter 5 value 795.577382
+#> iter 6 value 787.719425
+#> iter 7 value 786.603611
+#> iter 8 value 786.567932
+#> iter 9 value 786.567363
+#> iter 10 value 786.567180
+#> iter 11 value 786.566944
+#> iter 12 value 786.566801
+#> iter 12 value 786.566801
+#> iter 12 value 786.566801
+#> final value 786.566801
+#> converged
+#> This is Run number 23
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.0696373 0.1139559 0.71963728 -12.0860441 1
+#> 2 1 -6.20 -3.90 1.0380117 0.2643139 -5.16198826 -3.6356861 2
+#> 3 1 -14.20 -5.80 1.7228809 -1.4468334 -12.47711905 -7.2468334 2
+#> 4 1 -2.10 -13.20 -0.8658669 1.3431095 -2.96586694 -11.8568905 1
+#> 5 1 -1.70 -4.30 1.6014845 -0.7574144 -0.09851551 -5.0574144 1
+#> 6 1 -6.90 -1.55 0.4443535 1.3386907 -6.45564646 -0.2113093 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4920 -36525 7425
+#> initial value 998.131940
+#> iter 2 value 852.647158
+#> iter 3 value 840.822601
+#> iter 4 value 839.848203
+#> iter 5 value 797.714440
+#> iter 6 value 789.572769
+#> iter 7 value 787.985914
+#> iter 8 value 787.930145
+#> iter 9 value 787.929278
+#> iter 10 value 787.929083
+#> iter 11 value 787.928838
+#> iter 12 value 787.928683
+#> iter 12 value 787.928683
+#> iter 12 value 787.928683
+#> final value 787.928683
+#> converged
+#> This is Run number 24
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.5480181 -0.67530780 -1.801982 -12.8753078 1
+#> 2 1 -6.20 -3.90 -1.0115325 0.78782907 -7.211533 -3.1121709 2
+#> 3 1 -14.20 -5.80 -0.9401809 -0.05642427 -15.140181 -5.8564243 2
+#> 4 1 -2.10 -13.20 0.5216900 2.68799285 -1.578310 -10.5120072 1
+#> 5 1 -1.70 -4.30 0.2058140 0.81199836 -1.494186 -3.4880016 1
+#> 6 1 -6.90 -1.55 0.4105592 1.16010664 -6.489441 -0.3898934 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3080 -36275 10075
+#> initial value 998.131940
+#> iter 2 value 836.322535
+#> iter 3 value 812.585895
+#> iter 4 value 809.787675
+#> iter 5 value 766.755092
+#> iter 6 value 759.803512
+#> iter 7 value 759.018700
+#> iter 8 value 758.977637
+#> iter 9 value 758.977188
+#> iter 10 value 758.977159
+#> iter 11 value 758.977123
+#> iter 12 value 758.977079
+#> iter 12 value 758.977079
+#> iter 12 value 758.977079
+#> final value 758.977079
+#> converged
+#> This is Run number 25
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.3893017 1.9209584 -2.7393017 -10.279042 1
+#> 2 1 -6.20 -3.90 1.2374886 -0.7597671 -4.9625114 -4.659767 2
+#> 3 1 -14.20 -5.80 4.4373183 -0.1483760 -9.7626817 -5.948376 2
+#> 4 1 -2.10 -13.20 0.2997054 0.4157365 -1.8002946 -12.784263 1
+#> 5 1 -1.70 -4.30 0.9823897 1.3023428 -0.7176103 -2.997657 1
+#> 6 1 -6.90 -1.55 -1.5504738 -0.3523872 -8.4504738 -1.902387 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -37375 8550
+#> initial value 998.131940
+#> iter 2 value 833.958960
+#> iter 3 value 831.711247
+#> iter 4 value 827.450521
+#> iter 5 value 774.246051
+#> iter 6 value 764.880122
+#> iter 7 value 763.297352
+#> iter 8 value 763.274864
+#> iter 9 value 763.274804
+#> iter 10 value 763.274618
+#> iter 10 value 763.274615
+#> iter 10 value 763.274606
+#> final value 763.274606
+#> converged
+#> This is Run number 26
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.007008881 1.4549374 -2.357009 -10.745063 1
+#> 2 1 -6.20 -3.90 1.374385934 0.9222580 -4.825614 -2.977742 2
+#> 3 1 -14.20 -5.80 -0.567117601 -0.6089608 -14.767118 -6.408961 2
+#> 4 1 -2.10 -13.20 1.012107501 0.5314781 -1.087892 -12.668522 1
+#> 5 1 -1.70 -4.30 -0.603949880 0.5813597 -2.303950 -3.718640 1
+#> 6 1 -6.90 -1.55 -1.102216774 -1.4307725 -8.002217 -2.980772 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -36500 8750
+#> initial value 998.131940
+#> iter 2 value 844.621456
+#> iter 3 value 828.440266
+#> iter 4 value 827.832743
+#> iter 5 value 786.851474
+#> iter 6 value 779.002893
+#> iter 7 value 778.056973
+#> iter 8 value 778.023430
+#> iter 9 value 778.022858
+#> iter 10 value 778.022675
+#> iter 11 value 778.022422
+#> iter 12 value 778.022265
+#> iter 12 value 778.022265
+#> iter 12 value 778.022265
+#> final value 778.022265
+#> converged
+#> This is Run number 27
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.6862357 -0.37731581 0.3362357 -12.577316 1
+#> 2 1 -6.20 -3.90 2.6588761 0.66005481 -3.5411239 -3.239945 2
+#> 3 1 -14.20 -5.80 2.5184884 0.55342696 -11.6815116 -5.246573 2
+#> 4 1 -2.10 -13.20 -0.2629038 -0.02022635 -2.3629038 -13.220226 1
+#> 5 1 -1.70 -4.30 -0.2897550 -0.73905191 -1.9897550 -5.039052 1
+#> 6 1 -6.90 -1.55 -0.4053292 -0.42239065 -7.3053292 -1.972391 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4020 -36350 9100
+#> initial value 998.131940
+#> iter 2 value 843.798578
+#> iter 3 value 825.580600
+#> iter 4 value 824.305292
+#> iter 5 value 782.554496
+#> iter 6 value 774.951378
+#> iter 7 value 774.052306
+#> iter 8 value 774.016304
+#> iter 9 value 774.015690
+#> iter 10 value 774.015651
+#> iter 11 value 774.015475
+#> iter 12 value 774.015252
+#> iter 12 value 774.015252
+#> iter 12 value 774.015252
+#> final value 774.015252
+#> converged
+#> This is Run number 28
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.2749799 -0.66467520 0.9249799 -12.864675 1
+#> 2 1 -6.20 -3.90 0.2139321 1.34579503 -5.9860679 -2.554205 2
+#> 3 1 -14.20 -5.80 1.3861520 -0.46153021 -12.8138480 -6.261530 2
+#> 4 1 -2.10 -13.20 0.1806948 0.01678434 -1.9193052 -13.183216 1
+#> 5 1 -1.70 -4.30 1.8833165 2.67416799 0.1833165 -1.625832 1
+#> 6 1 -6.90 -1.55 -0.2887903 3.10945865 -7.1887903 1.559459 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3840 -38475 8975
+#> initial value 998.131940
+#> iter 2 value 815.369378
+#> iter 3 value 809.337321
+#> iter 4 value 803.065800
+#> iter 5 value 753.511607
+#> iter 6 value 744.059730
+#> iter 7 value 742.411057
+#> iter 8 value 742.384355
+#> iter 9 value 742.384262
+#> iter 10 value 742.384231
+#> iter 10 value 742.384229
+#> iter 10 value 742.384229
+#> final value 742.384229
+#> converged
+#> This is Run number 29
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.37262927 0.8670987 -2.722629 -11.3329013 1
+#> 2 1 -6.20 -3.90 -0.06000197 0.6706381 -6.260002 -3.2293619 2
+#> 3 1 -14.20 -5.80 0.43856037 0.6647895 -13.761440 -5.1352105 2
+#> 4 1 -2.10 -13.20 -0.15682800 1.9586036 -2.256828 -11.2413964 1
+#> 5 1 -1.70 -4.30 -0.49391714 0.8200100 -2.193917 -3.4799900 1
+#> 6 1 -6.90 -1.55 -0.55802445 1.1719655 -7.458024 -0.3780345 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5380 -36850 7750
+#> initial value 998.131940
+#> iter 2 value 846.514471
+#> iter 3 value 834.496451
+#> iter 4 value 834.347603
+#> iter 5 value 793.886815
+#> iter 6 value 785.600122
+#> iter 7 value 784.307860
+#> iter 8 value 784.267126
+#> iter 9 value 784.266542
+#> iter 10 value 784.266343
+#> iter 11 value 784.266059
+#> iter 12 value 784.265883
+#> iter 12 value 784.265883
+#> iter 12 value 784.265883
+#> final value 784.265883
+#> converged
+#> This is Run number 30
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.6983266 -0.5606535377 -0.65167343 -12.7606535 1
+#> 2 1 -6.20 -3.90 2.3454175 -0.0003949978 -3.85458251 -3.9003950 1
+#> 3 1 -14.20 -5.80 -0.7683467 0.7140527393 -14.96834665 -5.0859473 2
+#> 4 1 -2.10 -13.20 2.0763598 -0.3413050988 -0.02364018 -13.5413051 1
+#> 5 1 -1.70 -4.30 1.5126180 -0.0308160859 -0.18738200 -4.3308161 1
+#> 6 1 -6.90 -1.55 0.2978253 0.6158008780 -6.60217471 -0.9341991 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4780 -37775 8550
+#> initial value 998.131940
+#> iter 2 value 828.934527
+#> iter 3 value 828.821765
+#> iter 4 value 827.122455
+#> iter 5 value 775.196756
+#> iter 6 value 765.608540
+#> iter 7 value 764.078088
+#> iter 8 value 764.054801
+#> iter 9 value 764.054682
+#> iter 10 value 764.054357
+#> iter 11 value 764.054334
+#> iter 12 value 764.054225
+#> iter 12 value 764.054225
+#> iter 12 value 764.054225
+#> final value 764.054225
+#> converged
+#> This is Run number 31
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.2038101 0.2988100 -2.1461899 -11.901190 1
+#> 2 1 -6.20 -3.90 0.6150782 0.3541169 -5.5849218 -3.545883 2
+#> 3 1 -14.20 -5.80 0.2087358 0.6498554 -13.9912642 -5.150145 2
+#> 4 1 -2.10 -13.20 1.9292007 -0.3884696 -0.1707993 -13.588470 1
+#> 5 1 -1.70 -4.30 1.1095214 0.4415471 -0.5904786 -3.858453 1
+#> 6 1 -6.90 -1.55 -0.2764128 0.3636535 -7.1764128 -1.186347 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -36475 7675
+#> initial value 998.131940
+#> iter 2 value 851.615752
+#> iter 3 value 851.513373
+#> iter 4 value 848.587435
+#> iter 5 value 794.120244
+#> iter 6 value 784.881649
+#> iter 7 value 783.377746
+#> iter 8 value 783.352192
+#> iter 9 value 783.352018
+#> iter 10 value 783.351926
+#> iter 10 value 783.351920
+#> iter 11 value 783.351860
+#> iter 12 value 783.351750
+#> iter 12 value 783.351740
+#> iter 12 value 783.351740
+#> final value 783.351740
+#> converged
+#> This is Run number 32
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.6395857 -0.2143965 0.2895857 -12.4143965 1
+#> 2 1 -6.20 -3.90 1.5886761 0.3125212 -4.6113239 -3.5874788 2
+#> 3 1 -14.20 -5.80 -0.2723993 -1.5754728 -14.4723993 -7.3754728 2
+#> 4 1 -2.10 -13.20 0.7339479 0.2318166 -1.3660521 -12.9681834 1
+#> 5 1 -1.70 -4.30 -1.0516375 -0.4357972 -2.7516375 -4.7357972 1
+#> 6 1 -6.90 -1.55 -1.2416690 0.7184026 -8.1416690 -0.8315974 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4780 -37325 7875
+#> initial value 998.131940
+#> iter 2 value 839.381605
+#> iter 3 value 839.322146
+#> iter 4 value 837.224483
+#> iter 5 value 785.205412
+#> iter 6 value 775.641244
+#> iter 7 value 774.138505
+#> iter 8 value 774.111379
+#> iter 9 value 774.111017
+#> iter 10 value 774.110810
+#> iter 11 value 774.110772
+#> iter 12 value 774.110691
+#> iter 12 value 774.110691
+#> iter 12 value 774.110691
+#> final value 774.110691
+#> converged
+#> This is Run number 33
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.62198172 0.1192210 -0.7280183 -12.0807790 1
+#> 2 1 -6.20 -3.90 0.69146605 1.0669748 -5.5085339 -2.8330252 2
+#> 3 1 -14.20 -5.80 -0.39009408 -1.2766655 -14.5900941 -7.0766655 2
+#> 4 1 -2.10 -13.20 4.35295631 0.5151864 2.2529563 -12.6848136 1
+#> 5 1 -1.70 -4.30 0.02659975 1.8254432 -1.6734002 -2.4745568 1
+#> 6 1 -6.90 -1.55 0.05662132 1.2343851 -6.8433787 -0.3156149 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3700 -36225 9200
+#> initial value 998.131940
+#> iter 2 value 844.355446
+#> iter 3 value 825.144004
+#> iter 4 value 823.217247
+#> iter 5 value 780.588481
+#> iter 6 value 773.101934
+#> iter 7 value 772.179943
+#> iter 8 value 772.141053
+#> iter 9 value 772.140421
+#> iter 9 value 772.140414
+#> iter 9 value 772.140414
+#> final value 772.140414
+#> converged
+#> This is Run number 34
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.4804763 0.4996805 -1.869524 -11.700319 1
+#> 2 1 -6.20 -3.90 2.3704964 0.3812655 -3.829504 -3.518735 2
+#> 3 1 -14.20 -5.80 2.3940746 -0.6394105 -11.805925 -6.439410 2
+#> 4 1 -2.10 -13.20 -1.0328887 -0.4851286 -3.132889 -13.685129 1
+#> 5 1 -1.70 -4.30 0.2677072 0.2764882 -1.432293 -4.023512 1
+#> 6 1 -6.90 -1.55 -0.7486153 3.0485042 -7.648615 1.498504 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5100 -36250 7850
+#> initial value 998.131940
+#> iter 2 value 853.707124
+#> iter 3 value 841.193921
+#> iter 4 value 840.951064
+#> iter 5 value 799.274498
+#> iter 6 value 791.252344
+#> iter 7 value 789.996333
+#> iter 8 value 789.959274
+#> iter 9 value 789.958762
+#> iter 10 value 789.958582
+#> iter 11 value 789.958330
+#> iter 12 value 789.958182
+#> iter 12 value 789.958182
+#> iter 12 value 789.958182
+#> final value 789.958182
+#> converged
+#> This is Run number 35
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.63579675 1.14568509 -1.714203 -11.054315 1
+#> 2 1 -6.20 -3.90 -0.39858372 0.93945936 -6.598584 -2.960541 2
+#> 3 1 -14.20 -5.80 2.26660274 -0.28238476 -11.933397 -6.082385 2
+#> 4 1 -2.10 -13.20 0.58755458 -0.18785251 -1.512445 -13.387853 1
+#> 5 1 -1.70 -4.30 -0.08175432 -0.05879871 -1.781754 -4.358799 1
+#> 6 1 -6.90 -1.55 -0.80715466 -0.41908850 -7.707155 -1.969089 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5360 -37400 7925
+#> initial value 998.131940
+#> iter 2 value 838.104587
+#> iter 3 value 825.407234
+#> iter 4 value 825.180447
+#> iter 5 value 785.864212
+#> iter 6 value 777.414587
+#> iter 7 value 776.189367
+#> iter 8 value 776.145791
+#> iter 9 value 776.145065
+#> iter 10 value 776.144837
+#> iter 11 value 776.144521
+#> iter 12 value 776.144313
+#> iter 12 value 776.144313
+#> iter 12 value 776.144313
+#> final value 776.144313
+#> converged
+#> This is Run number 36
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.3561211 0.01237756 -0.9938789 -12.187622 1
+#> 2 1 -6.20 -3.90 -0.2871143 -0.02079995 -6.4871143 -3.920800 2
+#> 3 1 -14.20 -5.80 4.2980215 -0.86093094 -9.9019785 -6.660931 2
+#> 4 1 -2.10 -13.20 -0.2549352 1.25937829 -2.3549352 -11.940622 1
+#> 5 1 -1.70 -4.30 0.5772472 0.54639164 -1.1227528 -3.753608 1
+#> 6 1 -6.90 -1.55 2.0653982 -0.04400445 -4.8346018 -1.594004 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6020 -38500 6525
+#> initial value 998.131940
+#> iter 2 value 830.150507
+#> iter 3 value 830.081442
+#> iter 4 value 829.188354
+#> iter 5 value 784.046956
+#> iter 6 value 773.884648
+#> iter 7 value 772.250724
+#> iter 8 value 772.205243
+#> iter 9 value 772.204970
+#> iter 10 value 772.204546
+#> iter 11 value 772.204522
+#> iter 12 value 772.204406
+#> iter 12 value 772.204406
+#> iter 12 value 772.204406
+#> final value 772.204406
+#> converged
+#> This is Run number 37
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.1310102 2.0336062685 -1.218990 -10.166394 1
+#> 2 1 -6.20 -3.90 0.2290076 0.7067515962 -5.970992 -3.193248 2
+#> 3 1 -14.20 -5.80 0.6564241 -0.0004879638 -13.543576 -5.800488 2
+#> 4 1 -2.10 -13.20 0.9035120 0.2765372028 -1.196488 -12.923463 1
+#> 5 1 -1.70 -4.30 0.4558847 0.4893635150 -1.244115 -3.810636 1
+#> 6 1 -6.90 -1.55 1.0354170 -0.9631780882 -5.864583 -2.513178 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5180 -37700 7675
+#> initial value 998.131940
+#> iter 2 value 835.502991
+#> iter 3 value 823.054663
+#> iter 4 value 822.210782
+#> iter 5 value 782.851450
+#> iter 6 value 774.302289
+#> iter 7 value 772.851316
+#> iter 8 value 772.792130
+#> iter 9 value 772.791057
+#> iter 10 value 772.790842
+#> iter 11 value 772.790589
+#> iter 12 value 772.790395
+#> iter 12 value 772.790395
+#> iter 12 value 772.790395
+#> final value 772.790395
+#> converged
+#> This is Run number 38
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.42817501 -0.39894103 -1.921825 -12.598941 1
+#> 2 1 -6.20 -3.90 0.08118998 -0.61713647 -6.118810 -4.517136 2
+#> 3 1 -14.20 -5.80 1.44285357 -0.46523310 -12.757146 -6.265233 2
+#> 4 1 -2.10 -13.20 1.58995603 1.55947203 -0.510044 -11.640528 1
+#> 5 1 -1.70 -4.30 -0.84971510 0.09245052 -2.549715 -4.207549 1
+#> 6 1 -6.90 -1.55 0.91764723 -0.40349353 -5.982353 -1.953494 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -38100 8125
+#> initial value 998.131940
+#> iter 2 value 827.007267
+#> iter 3 value 824.771711
+#> iter 4 value 821.509992
+#> iter 5 value 771.786435
+#> iter 6 value 762.086876
+#> iter 7 value 760.587735
+#> iter 8 value 760.563641
+#> iter 9 value 760.563446
+#> iter 10 value 760.563308
+#> iter 10 value 760.563307
+#> iter 11 value 760.563260
+#> iter 12 value 760.563160
+#> iter 12 value 760.563152
+#> iter 12 value 760.563147
+#> final value 760.563147
+#> converged
+#> This is Run number 39
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.2293600 -0.8876553 -2.579360 -13.0876553 1
+#> 2 1 -6.20 -3.90 0.1966103 -1.5463738 -6.003390 -5.4463738 2
+#> 3 1 -14.20 -5.80 0.9458235 1.0368767 -13.254176 -4.7631233 2
+#> 4 1 -2.10 -13.20 -0.1769461 -0.4227397 -2.276946 -13.6227397 1
+#> 5 1 -1.70 -4.30 2.1118930 -1.1196273 0.411893 -5.4196273 1
+#> 6 1 -6.90 -1.55 1.6798599 2.0891961 -5.220140 0.5391961 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -36475 7875
+#> initial value 998.131940
+#> iter 2 value 850.472860
+#> iter 3 value 836.593603
+#> iter 4 value 834.978310
+#> iter 5 value 792.391997
+#> iter 6 value 784.338409
+#> iter 7 value 782.926301
+#> iter 8 value 782.873361
+#> iter 9 value 782.872499
+#> iter 10 value 782.872352
+#> iter 11 value 782.872204
+#> iter 12 value 782.872090
+#> iter 12 value 782.872090
+#> iter 12 value 782.872090
+#> final value 782.872090
+#> converged
+#> This is Run number 40
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.31330943 -0.3917061 -2.0366906 -12.591706 1
+#> 2 1 -6.20 -3.90 -0.44968319 -1.0152068 -6.6496832 -4.915207 2
+#> 3 1 -14.20 -5.80 -0.02694603 -0.4131738 -14.2269460 -6.213174 2
+#> 4 1 -2.10 -13.20 -0.10255449 0.2843361 -2.2025545 -12.915664 1
+#> 5 1 -1.70 -4.30 1.10133148 0.2175302 -0.5986685 -4.082470 1
+#> 6 1 -6.90 -1.55 2.80880255 3.1015288 -4.0911974 1.551529 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5140 -37975 8325
+#> initial value 998.131940
+#> iter 2 value 827.660966
+#> iter 3 value 813.281188
+#> iter 4 value 812.793716
+#> iter 5 value 774.601260
+#> iter 6 value 766.120791
+#> iter 7 value 765.030252
+#> iter 8 value 764.983758
+#> iter 9 value 764.982875
+#> iter 10 value 764.982820
+#> iter 11 value 764.982504
+#> iter 12 value 764.982111
+#> iter 12 value 764.982111
+#> iter 12 value 764.982111
+#> final value 764.982111
+#> converged
+#> This is Run number 41
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.8336767 1.2926512 -3.1836767 -10.9073488 1
+#> 2 1 -6.20 -3.90 -0.7142264 0.4934506 -6.9142264 -3.4065494 2
+#> 3 1 -14.20 -5.80 -0.6275591 1.1206589 -14.8275591 -4.6793411 2
+#> 4 1 -2.10 -13.20 -0.5123700 0.9882496 -2.6123700 -12.2117504 1
+#> 5 1 -1.70 -4.30 0.7354067 -0.8042403 -0.9645933 -5.1042403 1
+#> 6 1 -6.90 -1.55 3.1833829 1.4034197 -3.7166171 -0.1465803 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -37450 8450
+#> initial value 998.131940
+#> iter 2 value 834.093070
+#> iter 3 value 819.014869
+#> iter 4 value 818.316519
+#> iter 5 value 778.865009
+#> iter 6 value 770.598512
+#> iter 7 value 769.521666
+#> iter 8 value 769.477576
+#> iter 9 value 769.476753
+#> iter 9 value 769.476744
+#> iter 9 value 769.476744
+#> final value 769.476744
+#> converged
+#> This is Run number 42
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.7388208 3.9251731 -3.088821 -8.274827 1
+#> 2 1 -6.20 -3.90 0.2972668 0.9915603 -5.902733 -2.908440 2
+#> 3 1 -14.20 -5.80 -0.2661600 2.7051783 -14.466160 -3.094822 2
+#> 4 1 -2.10 -13.20 0.7131473 0.3559195 -1.386853 -12.844081 1
+#> 5 1 -1.70 -4.30 0.4587632 0.4930344 -1.241237 -3.806966 1
+#> 6 1 -6.90 -1.55 2.3611070 0.4555440 -4.538893 -1.094456 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5280 -37300 7450
+#> initial value 998.131940
+#> iter 2 value 842.276553
+#> iter 3 value 830.720991
+#> iter 4 value 830.082702
+#> iter 5 value 789.905678
+#> iter 6 value 781.456213
+#> iter 7 value 779.905338
+#> iter 8 value 779.847309
+#> iter 9 value 779.846348
+#> iter 10 value 779.846121
+#> iter 11 value 779.845832
+#> iter 12 value 779.845637
+#> iter 12 value 779.845637
+#> iter 12 value 779.845637
+#> final value 779.845637
+#> converged
+#> This is Run number 43
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.3392590 -0.17314272 0.989259 -12.3731427 1
+#> 2 1 -6.20 -3.90 -0.4092820 2.90145662 -6.609282 -0.9985434 2
+#> 3 1 -14.20 -5.80 3.0993024 -0.23225518 -11.100698 -6.0322552 2
+#> 4 1 -2.10 -13.20 -0.6871393 0.32581572 -2.787139 -12.8741843 1
+#> 5 1 -1.70 -4.30 -1.3140607 -0.32474045 -3.014061 -4.6247404 1
+#> 6 1 -6.90 -1.55 -0.5506818 0.00384525 -7.450682 -1.5461548 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5100 -37375 7450
+#> initial value 998.131940
+#> iter 2 value 841.260581
+#> iter 3 value 829.359060
+#> iter 4 value 828.302067
+#> iter 5 value 787.962052
+#> iter 6 value 779.502699
+#> iter 7 value 777.899749
+#> iter 8 value 777.836301
+#> iter 9 value 777.835217
+#> iter 10 value 777.835018
+#> iter 11 value 777.834785
+#> iter 12 value 777.834613
+#> iter 12 value 777.834613
+#> iter 12 value 777.834613
+#> final value 777.834613
+#> converged
+#> This is Run number 44
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.0561136 0.7667949 -1.293886 -11.4332051 1
+#> 2 1 -6.20 -3.90 0.2904447 3.4802587 -5.909555 -0.4197413 2
+#> 3 1 -14.20 -5.80 0.5007030 0.4527343 -13.699297 -5.3472657 2
+#> 4 1 -2.10 -13.20 -1.0622565 -0.4565755 -3.162257 -13.6565755 1
+#> 5 1 -1.70 -4.30 -0.4197725 -0.4633292 -2.119772 -4.7633292 1
+#> 6 1 -6.90 -1.55 0.5183234 5.1021769 -6.381677 3.5521769 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4220 -36000 7525
+#> initial value 998.131940
+#> iter 2 value 858.408517
+#> iter 3 value 858.371355
+#> iter 4 value 855.211237
+#> iter 5 value 799.505498
+#> iter 6 value 790.456593
+#> iter 7 value 788.959034
+#> iter 8 value 788.934299
+#> iter 9 value 788.934229
+#> iter 10 value 788.934008
+#> iter 10 value 788.934007
+#> iter 11 value 788.933975
+#> iter 12 value 788.933914
+#> iter 12 value 788.933906
+#> iter 12 value 788.933904
+#> final value 788.933904
+#> converged
+#> This is Run number 45
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.9770879 -0.5331898 -1.372912 -12.733190 1
+#> 2 1 -6.20 -3.90 0.6188149 0.9935593 -5.581185 -2.906441 2
+#> 3 1 -14.20 -5.80 1.3031484 -1.2303248 -12.896852 -7.030325 2
+#> 4 1 -2.10 -13.20 -0.3870820 0.6134700 -2.487082 -12.586530 1
+#> 5 1 -1.70 -4.30 3.4573002 -0.2934759 1.757300 -4.593476 1
+#> 6 1 -6.90 -1.55 0.5435977 -0.9309058 -6.356402 -2.480906 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -35400 8500
+#> initial value 998.131940
+#> iter 2 value 859.622019
+#> iter 3 value 843.478845
+#> iter 4 value 842.025135
+#> iter 5 value 797.994798
+#> iter 6 value 790.526816
+#> iter 7 value 789.448592
+#> iter 8 value 789.412644
+#> iter 9 value 789.412079
+#> iter 10 value 789.411946
+#> iter 11 value 789.411806
+#> iter 12 value 789.411711
+#> iter 12 value 789.411711
+#> iter 12 value 789.411711
+#> final value 789.411711
+#> converged
+#> This is Run number 46
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 8.0946745 -0.39534642 5.744674 -12.5953464 1
+#> 2 1 -6.20 -3.90 -0.5413074 -0.28762967 -6.741307 -4.1876297 2
+#> 3 1 -14.20 -5.80 -1.1400700 -0.04888199 -15.340070 -5.8488820 2
+#> 4 1 -2.10 -13.20 -0.1074818 -0.90853832 -2.207482 -14.1085383 1
+#> 5 1 -1.70 -4.30 0.0373976 2.65389998 -1.662602 -1.6461000 2
+#> 6 1 -6.90 -1.55 -0.5826485 2.44500364 -7.482649 0.8950036 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5380 -39325 7275
+#> initial value 998.131940
+#> iter 2 value 814.218426
+#> iter 3 value 811.497369
+#> iter 4 value 808.803130
+#> iter 5 value 765.139770
+#> iter 6 value 754.925747
+#> iter 7 value 753.508775
+#> iter 8 value 753.480105
+#> iter 9 value 753.479719
+#> iter 10 value 753.479677
+#> iter 10 value 753.479676
+#> iter 11 value 753.479640
+#> iter 12 value 753.479513
+#> iter 12 value 753.479509
+#> iter 13 value 753.479496
+#> iter 13 value 753.479494
+#> iter 13 value 753.479493
+#> final value 753.479493
+#> converged
+#> This is Run number 47
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.0046455 -1.1623668 -3.3546455 -13.362367 1
+#> 2 1 -6.20 -3.90 0.7514134 0.5142024 -5.4485866 -3.385798 2
+#> 3 1 -14.20 -5.80 0.3465487 0.6153043 -13.8534513 -5.184696 2
+#> 4 1 -2.10 -13.20 1.2504921 -0.1115016 -0.8495079 -13.311502 1
+#> 5 1 -1.70 -4.30 -0.5127211 1.5830428 -2.2127211 -2.716957 1
+#> 6 1 -6.90 -1.55 1.7555586 3.1278597 -5.1444414 1.577860 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -37475 8425
+#> initial value 998.131940
+#> iter 2 value 833.913655
+#> iter 3 value 818.897168
+#> iter 4 value 818.163935
+#> iter 5 value 778.717338
+#> iter 6 value 770.436612
+#> iter 7 value 769.345531
+#> iter 8 value 769.300585
+#> iter 9 value 769.299742
+#> iter 9 value 769.299735
+#> iter 9 value 769.299735
+#> final value 769.299735
+#> converged
+#> This is Run number 48
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.79058067 0.7202817 -3.140581 -11.479718 1
+#> 2 1 -6.20 -3.90 0.79204040 0.1129894 -5.407960 -3.787011 2
+#> 3 1 -14.20 -5.80 0.85399183 1.5300737 -13.346008 -4.269926 2
+#> 4 1 -2.10 -13.20 -0.22768638 0.8309363 -2.327686 -12.369064 1
+#> 5 1 -1.70 -4.30 6.26732611 0.9631317 4.567326 -3.336868 1
+#> 6 1 -6.90 -1.55 0.04578162 -0.3114252 -6.854218 -1.861425 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -37925 7775
+#> initial value 998.131940
+#> iter 2 value 831.743323
+#> iter 3 value 830.815168
+#> iter 4 value 828.595191
+#> iter 5 value 778.903110
+#> iter 6 value 769.127999
+#> iter 7 value 767.642800
+#> iter 8 value 767.615278
+#> iter 9 value 767.614868
+#> iter 10 value 767.614679
+#> iter 11 value 767.614657
+#> iter 12 value 767.614570
+#> iter 12 value 767.614570
+#> iter 12 value 767.614570
+#> final value 767.614570
+#> converged
+#> This is Run number 49
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.30682651 0.3126437 -0.04317349 -11.887356 1
+#> 2 1 -6.20 -3.90 2.62194660 1.4702864 -3.57805340 -2.429714 2
+#> 3 1 -14.20 -5.80 0.24474927 0.6753785 -13.95525073 -5.124621 2
+#> 4 1 -2.10 -13.20 2.46406130 -0.7541648 0.36406130 -13.954165 1
+#> 5 1 -1.70 -4.30 -1.48412757 0.5572091 -3.18412757 -3.742791 1
+#> 6 1 -6.90 -1.55 -0.09641577 -0.1128043 -6.99641577 -1.662804 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4360 -36500 8225
+#> initial value 998.131940
+#> iter 2 value 847.947902
+#> iter 3 value 832.956590
+#> iter 4 value 831.500810
+#> iter 5 value 789.306615
+#> iter 6 value 781.326888
+#> iter 7 value 780.088309
+#> iter 8 value 780.041383
+#> iter 9 value 780.040579
+#> iter 10 value 780.040424
+#> iter 11 value 780.040266
+#> iter 12 value 780.040144
+#> iter 12 value 780.040144
+#> iter 12 value 780.040144
+#> final value 780.040144
+#> converged
+#> This is Run number 50
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.703579024 -0.9510993 -0.646421 -13.1510993 1
+#> 2 1 -6.20 -3.90 -0.008326799 0.7815381 -6.208327 -3.1184619 2
+#> 3 1 -14.20 -5.80 0.808150589 0.6003857 -13.391849 -5.1996143 2
+#> 4 1 -2.10 -13.20 -0.136086526 2.4637606 -2.236087 -10.7362394 1
+#> 5 1 -1.70 -4.30 -0.305163828 1.7509572 -2.005164 -2.5490428 1
+#> 6 1 -6.90 -1.55 0.185886476 1.2428984 -6.714114 -0.3071016 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4140 -36400 8475
+#> initial value 998.131940
+#> iter 2 value 847.474333
+#> iter 3 value 831.355690
+#> iter 4 value 829.675559
+#> iter 5 value 787.199726
+#> iter 6 value 779.339296
+#> iter 7 value 778.186698
+#> iter 8 value 778.141966
+#> iter 9 value 778.141201
+#> iter 10 value 778.141066
+#> iter 11 value 778.140938
+#> iter 12 value 778.140833
+#> iter 12 value 778.140833
+#> iter 12 value 778.140833
+#> final value 778.140833
+#> converged
+#> This is Run number 51
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.98194900 0.50973468 -1.368051 -11.6902653 1
+#> 2 1 -6.20 -3.90 -0.36553577 1.50277704 -6.565536 -2.3972230 2
+#> 3 1 -14.20 -5.80 -0.14931099 3.59693518 -14.349311 -2.2030648 2
+#> 4 1 -2.10 -13.20 0.19822848 0.40146056 -1.901772 -12.7985394 1
+#> 5 1 -1.70 -4.30 -0.03639585 -0.01177724 -1.736396 -4.3117772 1
+#> 6 1 -6.90 -1.55 1.22512314 2.53600584 -5.674877 0.9860058 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4560 -37200 7875
+#> initial value 998.131940
+#> iter 2 value 840.973282
+#> iter 3 value 840.327073
+#> iter 4 value 837.556467
+#> iter 5 value 785.121194
+#> iter 6 value 775.628088
+#> iter 7 value 774.122135
+#> iter 8 value 774.096429
+#> iter 9 value 774.096090
+#> iter 10 value 774.095952
+#> iter 11 value 774.095939
+#> iter 12 value 774.095864
+#> iter 12 value 774.095864
+#> iter 12 value 774.095864
+#> final value 774.095864
+#> converged
+#> This is Run number 52
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.1222335 -0.52915171 -2.227766 -12.729152 1
+#> 2 1 -6.20 -3.90 2.1135934 -0.06660978 -4.086407 -3.966610 2
+#> 3 1 -14.20 -5.80 3.1754112 0.68444905 -11.024589 -5.115551 2
+#> 4 1 -2.10 -13.20 -0.6841028 -0.63325480 -2.784103 -13.833255 1
+#> 5 1 -1.70 -4.30 0.1287893 0.18839710 -1.571211 -4.111603 1
+#> 6 1 -6.90 -1.55 -0.6705420 4.97460520 -7.570542 3.424605 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3280 -36875 10200
+#> initial value 998.131940
+#> iter 2 value 827.826419
+#> iter 3 value 827.302910
+#> iter 4 value 822.101520
+#> iter 5 value 762.706874
+#> iter 6 value 753.782524
+#> iter 7 value 751.925158
+#> iter 8 value 751.886775
+#> iter 9 value 751.886733
+#> iter 9 value 751.886730
+#> iter 9 value 751.886730
+#> final value 751.886730
+#> converged
+#> This is Run number 53
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.74947912 0.01250242 0.3994791 -12.187498 1
+#> 2 1 -6.20 -3.90 -1.09408501 -0.40845736 -7.2940850 -4.308457 2
+#> 3 1 -14.20 -5.80 0.06814824 1.81261473 -14.1318518 -3.987385 2
+#> 4 1 -2.10 -13.20 -1.26604008 0.31517105 -3.3660401 -12.884829 1
+#> 5 1 -1.70 -4.30 0.91460636 0.73359870 -0.7853936 -3.566401 1
+#> 6 1 -6.90 -1.55 0.15480907 -0.24158386 -6.7451909 -1.791584 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -39025 8400
+#> initial value 998.131940
+#> iter 2 value 811.658210
+#> iter 3 value 806.453678
+#> iter 4 value 801.548884
+#> iter 5 value 754.974336
+#> iter 6 value 745.234252
+#> iter 7 value 743.727283
+#> iter 8 value 743.703415
+#> iter 9 value 743.703300
+#> iter 10 value 743.703145
+#> iter 10 value 743.703135
+#> iter 10 value 743.703135
+#> final value 743.703135
+#> converged
+#> This is Run number 54
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.51372700 0.7989452 -1.836273 -11.401055 1
+#> 2 1 -6.20 -3.90 0.40590012 1.2053960 -5.794100 -2.694604 2
+#> 3 1 -14.20 -5.80 0.08897046 -1.0653002 -14.111030 -6.865300 2
+#> 4 1 -2.10 -13.20 -1.52647558 1.1804794 -3.626476 -12.019521 1
+#> 5 1 -1.70 -4.30 0.39127006 -1.2260929 -1.308730 -5.526093 1
+#> 6 1 -6.90 -1.55 0.39037691 -0.2882428 -6.509623 -1.838243 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4720 -37775 7750
+#> initial value 998.131940
+#> iter 2 value 833.915055
+#> iter 3 value 832.381270
+#> iter 4 value 829.449940
+#> iter 5 value 779.331643
+#> iter 6 value 769.624438
+#> iter 7 value 768.133087
+#> iter 8 value 768.106738
+#> iter 9 value 768.106386
+#> iter 10 value 768.106287
+#> iter 10 value 768.106283
+#> iter 11 value 768.106257
+#> iter 12 value 768.106184
+#> iter 12 value 768.106181
+#> iter 12 value 768.106178
+#> final value 768.106178
+#> converged
+#> This is Run number 55
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.19327923 1.2215320 -1.156721 -10.978468 1
+#> 2 1 -6.20 -3.90 2.26838942 2.4169136 -3.931611 -1.483086 2
+#> 3 1 -14.20 -5.80 -0.24473387 0.2727369 -14.444734 -5.527263 2
+#> 4 1 -2.10 -13.20 -0.12440643 2.5800021 -2.224406 -10.619998 1
+#> 5 1 -1.70 -4.30 -0.09188671 0.7590902 -1.791887 -3.540910 1
+#> 6 1 -6.90 -1.55 1.54910607 -0.2135422 -5.350894 -1.763542 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5180 -36200 7100
+#> initial value 998.131940
+#> iter 2 value 858.622824
+#> iter 3 value 848.148348
+#> iter 4 value 847.561718
+#> iter 5 value 804.901921
+#> iter 6 value 796.871217
+#> iter 7 value 795.165635
+#> iter 8 value 795.111488
+#> iter 9 value 795.110742
+#> iter 10 value 795.110534
+#> iter 11 value 795.110246
+#> iter 12 value 795.110089
+#> iter 12 value 795.110089
+#> iter 12 value 795.110089
+#> final value 795.110089
+#> converged
+#> This is Run number 56
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.06679665 -1.01650683 -2.2832034 -13.216507 1
+#> 2 1 -6.20 -3.90 2.70837623 0.11359293 -3.4916238 -3.786407 1
+#> 3 1 -14.20 -5.80 0.28956855 0.05244931 -13.9104315 -5.747551 2
+#> 4 1 -2.10 -13.20 -1.13139743 0.46590643 -3.2313974 -12.734094 1
+#> 5 1 -1.70 -4.30 1.33135036 -0.03279888 -0.3686496 -4.332799 1
+#> 6 1 -6.90 -1.55 0.11170111 4.15743107 -6.7882989 2.607431 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -38025 7450
+#> initial value 998.131940
+#> iter 2 value 832.112239
+#> iter 3 value 829.148075
+#> iter 4 value 825.252427
+#> iter 5 value 776.771792
+#> iter 6 value 766.944614
+#> iter 7 value 765.448549
+#> iter 8 value 765.421769
+#> iter 9 value 765.421556
+#> iter 10 value 765.421506
+#> iter 10 value 765.421505
+#> iter 11 value 765.421488
+#> iter 12 value 765.421438
+#> iter 12 value 765.421436
+#> iter 12 value 765.421433
+#> final value 765.421433
+#> converged
+#> This is Run number 57
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.9152459 1.3086786 -3.265246 -10.891321 1
+#> 2 1 -6.20 -3.90 2.2545075 0.1260269 -3.945493 -3.773973 2
+#> 3 1 -14.20 -5.80 -0.5405821 0.3233013 -14.740582 -5.476699 2
+#> 4 1 -2.10 -13.20 -0.3358695 0.7498803 -2.435869 -12.450120 1
+#> 5 1 -1.70 -4.30 0.3615463 -0.3853142 -1.338454 -4.685314 1
+#> 6 1 -6.90 -1.55 2.2002336 3.1676627 -4.699766 1.617663 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -38100 7675
+#> initial value 998.131940
+#> iter 2 value 829.847077
+#> iter 3 value 828.143604
+#> iter 4 value 825.385899
+#> iter 5 value 776.562955
+#> iter 6 value 766.735330
+#> iter 7 value 765.257041
+#> iter 8 value 765.229984
+#> iter 9 value 765.229607
+#> iter 10 value 765.229485
+#> iter 10 value 765.229482
+#> iter 11 value 765.229457
+#> iter 12 value 765.229382
+#> iter 12 value 765.229379
+#> iter 12 value 765.229376
+#> final value 765.229376
+#> converged
+#> This is Run number 58
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.2239443 0.2591357 -2.126056 -11.940864 1
+#> 2 1 -6.20 -3.90 -0.7100291 0.4965561 -6.910029 -3.403444 2
+#> 3 1 -14.20 -5.80 1.0560323 3.0649659 -13.143968 -2.735034 2
+#> 4 1 -2.10 -13.20 0.8632542 -1.1615996 -1.236746 -14.361600 1
+#> 5 1 -1.70 -4.30 -0.8380725 1.4809453 -2.538073 -2.819055 1
+#> 6 1 -6.90 -1.55 0.6282001 -0.7188565 -6.271800 -2.268857 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5500 -38750 8350
+#> initial value 998.131940
+#> iter 2 value 816.307454
+#> iter 3 value 815.876855
+#> iter 4 value 815.276526
+#> iter 5 value 767.540077
+#> iter 6 value 757.583179
+#> iter 7 value 756.097847
+#> iter 8 value 756.073573
+#> iter 9 value 756.073407
+#> iter 10 value 756.073027
+#> iter 11 value 756.072947
+#> iter 12 value 756.072815
+#> iter 12 value 756.072815
+#> iter 12 value 756.072815
+#> final value 756.072815
+#> converged
+#> This is Run number 59
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.2413716 1.6783906 -2.5913716 -10.5216094 1
+#> 2 1 -6.20 -3.90 2.1052818 0.4999755 -4.0947182 -3.4000245 2
+#> 3 1 -14.20 -5.80 -1.2109782 0.1597809 -15.4109782 -5.6402191 2
+#> 4 1 -2.10 -13.20 1.2620759 0.8817886 -0.8379241 -12.3182114 1
+#> 5 1 -1.70 -4.30 0.1492418 0.3312733 -1.5507582 -3.9687267 1
+#> 6 1 -6.90 -1.55 -0.6768452 1.7362861 -7.5768452 0.1862861 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -36425 8025
+#> initial value 998.131940
+#> iter 2 value 850.264790
+#> iter 3 value 836.220121
+#> iter 4 value 835.042206
+#> iter 5 value 792.855482
+#> iter 6 value 784.847363
+#> iter 7 value 783.548253
+#> iter 8 value 783.501353
+#> iter 9 value 783.500569
+#> iter 10 value 783.500395
+#> iter 11 value 783.500198
+#> iter 12 value 783.500062
+#> iter 12 value 783.500062
+#> iter 12 value 783.500062
+#> final value 783.500062
+#> converged
+#> This is Run number 60
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.9403374 -0.89843536 -3.2903374 -13.098435 1
+#> 2 1 -6.20 -3.90 1.8100131 0.31054109 -4.3899869 -3.589459 2
+#> 3 1 -14.20 -5.80 0.9700724 1.04086594 -13.2299276 -4.759134 2
+#> 4 1 -2.10 -13.20 1.3108147 -1.35465609 -0.7891853 -14.554656 1
+#> 5 1 -1.70 -4.30 0.2377307 -0.90326217 -1.4622693 -5.203262 1
+#> 6 1 -6.90 -1.55 0.1550381 -0.02513497 -6.7449619 -1.575135 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4960 -38325 7325
+#> initial value 998.131940
+#> iter 2 value 828.659437
+#> iter 3 value 826.252404
+#> iter 4 value 823.062892
+#> iter 5 value 775.813092
+#> iter 6 value 765.858210
+#> iter 7 value 764.379274
+#> iter 8 value 764.350739
+#> iter 9 value 764.350501
+#> iter 10 value 764.350336
+#> iter 10 value 764.350335
+#> iter 11 value 764.350313
+#> iter 12 value 764.350279
+#> iter 12 value 764.350279
+#> iter 12 value 764.350276
+#> final value 764.350276
+#> converged
+#> This is Run number 61
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.3606790 -0.4836395 -1.989321 -12.683639 1
+#> 2 1 -6.20 -3.90 1.2360164 0.7274717 -4.963984 -3.172528 2
+#> 3 1 -14.20 -5.80 -0.9873912 1.0959163 -15.187391 -4.704084 2
+#> 4 1 -2.10 -13.20 -0.2012224 -0.6221022 -2.301222 -13.822102 1
+#> 5 1 -1.70 -4.30 3.5924705 1.9395643 1.892470 -2.360436 1
+#> 6 1 -6.90 -1.55 -1.0628638 -0.5837008 -7.962864 -2.133701 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5520 -39450 7900
+#> initial value 998.131940
+#> iter 2 value 808.652731
+#> iter 3 value 806.755819
+#> iter 4 value 805.322503
+#> iter 5 value 760.821745
+#> iter 6 value 750.710600
+#> iter 7 value 749.295291
+#> iter 8 value 749.269313
+#> iter 9 value 749.268939
+#> iter 10 value 749.268759
+#> iter 11 value 749.268731
+#> iter 12 value 749.268411
+#> iter 12 value 749.268411
+#> iter 12 value 749.268411
+#> final value 749.268411
+#> converged
+#> This is Run number 62
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.05554581 -0.1883352 -2.2944542 -12.388335 1
+#> 2 1 -6.20 -3.90 2.14079827 -0.6942596 -4.0592017 -4.594260 1
+#> 3 1 -14.20 -5.80 1.67514876 -0.2747328 -12.5248512 -6.074733 2
+#> 4 1 -2.10 -13.20 -0.67376439 0.9152453 -2.7737644 -12.284755 1
+#> 5 1 -1.70 -4.30 1.26531454 0.3944486 -0.4346855 -3.905551 1
+#> 6 1 -6.90 -1.55 -0.47477404 -0.6525285 -7.3747740 -2.202529 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -36750 7500
+#> initial value 998.131940
+#> iter 2 value 848.946136
+#> iter 3 value 847.155311
+#> iter 4 value 843.271386
+#> iter 5 value 790.199813
+#> iter 6 value 780.830378
+#> iter 7 value 779.307465
+#> iter 8 value 779.282190
+#> iter 9 value 779.282056
+#> iter 10 value 779.281946
+#> iter 10 value 779.281946
+#> iter 11 value 779.281922
+#> iter 12 value 779.281904
+#> iter 12 value 779.281904
+#> iter 12 value 779.281900
+#> final value 779.281900
+#> converged
+#> This is Run number 63
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.7049117 0.83650472 -1.6450883 -11.3634953 1
+#> 2 1 -6.20 -3.90 1.2413823 3.14874439 -4.9586177 -0.7512556 2
+#> 3 1 -14.20 -5.80 0.7515753 0.04476255 -13.4484247 -5.7552375 2
+#> 4 1 -2.10 -13.20 1.7082685 -0.60583605 -0.3917315 -13.8058361 1
+#> 5 1 -1.70 -4.30 0.9144838 1.33293480 -0.7855162 -2.9670652 1
+#> 6 1 -6.90 -1.55 3.3565398 0.87857828 -3.5434602 -0.6714217 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -38200 9225
+#> initial value 998.131940
+#> iter 2 value 818.311397
+#> iter 3 value 818.072991
+#> iter 4 value 816.931939
+#> iter 5 value 765.113829
+#> iter 6 value 755.550308
+#> iter 7 value 753.984050
+#> iter 8 value 753.962499
+#> iter 9 value 753.962267
+#> iter 10 value 753.962114
+#> iter 10 value 753.962114
+#> iter 11 value 753.962069
+#> iter 11 value 753.962066
+#> iter 12 value 753.962053
+#> iter 12 value 753.962046
+#> iter 12 value 753.962046
+#> final value 753.962046
+#> converged
+#> This is Run number 64
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.74224034 1.1042593 -1.607760 -11.095741 1
+#> 2 1 -6.20 -3.90 0.11250293 -0.8977172 -6.087497 -4.797717 2
+#> 3 1 -14.20 -5.80 -0.40348622 0.4970745 -14.603486 -5.302926 2
+#> 4 1 -2.10 -13.20 0.08981291 -0.4154599 -2.010187 -13.615460 1
+#> 5 1 -1.70 -4.30 1.34411399 0.1835940 -0.355886 -4.116406 1
+#> 6 1 -6.90 -1.55 2.38868673 -0.2847194 -4.511313 -1.834719 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -39175 7900
+#> initial value 998.131940
+#> iter 2 value 812.819943
+#> iter 3 value 809.516865
+#> iter 4 value 806.380262
+#> iter 5 value 761.021080
+#> iter 6 value 751.033668
+#> iter 7 value 749.602087
+#> iter 8 value 749.577446
+#> iter 9 value 749.577327
+#> iter 10 value 749.576927
+#> iter 10 value 749.576924
+#> iter 11 value 749.576868
+#> iter 12 value 749.576841
+#> iter 12 value 749.576835
+#> iter 12 value 749.576835
+#> final value 749.576835
+#> converged
+#> This is Run number 65
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.08691641 -0.02878832 -2.26308359 -12.228788 1
+#> 2 1 -6.20 -3.90 -0.91774016 1.34660555 -7.11774016 -2.553394 2
+#> 3 1 -14.20 -5.80 1.37308501 -0.23456203 -12.82691499 -6.034562 2
+#> 4 1 -2.10 -13.20 0.18093148 1.44403306 -1.91906852 -11.755967 1
+#> 5 1 -1.70 -4.30 1.71474876 2.58269500 0.01474876 -1.717305 1
+#> 6 1 -6.90 -1.55 0.20839467 -0.28189139 -6.69160533 -1.831891 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -36825 8375
+#> initial value 998.131940
+#> iter 2 value 842.480456
+#> iter 3 value 841.443751
+#> iter 4 value 837.639787
+#> iter 5 value 782.770535
+#> iter 6 value 773.534759
+#> iter 7 value 771.971682
+#> iter 8 value 771.949357
+#> iter 9 value 771.949269
+#> iter 10 value 771.949142
+#> iter 10 value 771.949134
+#> iter 11 value 771.949105
+#> iter 12 value 771.949057
+#> iter 12 value 771.949048
+#> iter 12 value 771.949047
+#> final value 771.949047
+#> converged
+#> This is Run number 66
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.05593889 1.4049648 -2.294061 -10.795035 1
+#> 2 1 -6.20 -3.90 -0.37450786 -0.4704617 -6.574508 -4.370462 2
+#> 3 1 -14.20 -5.80 0.37534751 -0.5989741 -13.824652 -6.398974 2
+#> 4 1 -2.10 -13.20 -0.83005334 -0.3126427 -2.930053 -13.512643 1
+#> 5 1 -1.70 -4.30 0.43988701 0.2521451 -1.260113 -4.047855 1
+#> 6 1 -6.90 -1.55 1.42117014 -0.1803194 -5.478830 -1.730319 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -36700 7400
+#> initial value 998.131940
+#> iter 2 value 850.259110
+#> iter 3 value 848.971779
+#> iter 4 value 845.483840
+#> iter 5 value 792.449196
+#> iter 6 value 783.084643
+#> iter 7 value 781.568142
+#> iter 8 value 781.541896
+#> iter 9 value 781.541818
+#> iter 10 value 781.541629
+#> iter 10 value 781.541629
+#> iter 11 value 781.541610
+#> iter 12 value 781.541551
+#> iter 12 value 781.541551
+#> iter 12 value 781.541548
+#> final value 781.541548
+#> converged
+#> This is Run number 67
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.1303160 2.2271925 -2.4803160 -9.9728075 1
+#> 2 1 -6.20 -3.90 4.4813891 2.6635557 -1.7186109 -1.2364443 2
+#> 3 1 -14.20 -5.80 2.2320284 -0.5483224 -11.9679716 -6.3483224 2
+#> 4 1 -2.10 -13.20 1.6570825 -0.2070998 -0.4429175 -13.4070998 1
+#> 5 1 -1.70 -4.30 -0.1750784 0.4829291 -1.8750784 -3.8170709 1
+#> 6 1 -6.90 -1.55 -0.2696483 1.3620277 -7.1696483 -0.1879723 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3720 -37575 8875
+#> initial value 998.131940
+#> iter 2 value 828.675389
+#> iter 3 value 824.678385
+#> iter 4 value 819.010998
+#> iter 5 value 766.051896
+#> iter 6 value 756.732432
+#> iter 7 value 755.069437
+#> iter 8 value 755.045403
+#> iter 9 value 755.045349
+#> iter 10 value 755.045297
+#> iter 10 value 755.045296
+#> iter 11 value 755.045284
+#> iter 11 value 755.045279
+#> iter 11 value 755.045279
+#> final value 755.045279
+#> converged
+#> This is Run number 68
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.3833380 0.86922487 1.033338 -11.330775 1
+#> 2 1 -6.20 -3.90 0.8437777 0.00852502 -5.356222 -3.891475 2
+#> 3 1 -14.20 -5.80 0.5613912 0.11544104 -13.638609 -5.684559 2
+#> 4 1 -2.10 -13.20 -1.3817953 -0.65112548 -3.481795 -13.851125 1
+#> 5 1 -1.70 -4.30 0.3651437 -0.50626862 -1.334856 -4.806269 1
+#> 6 1 -6.90 -1.55 -1.3438314 2.58832529 -8.243831 1.038325 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -35175 9450
+#> initial value 998.131940
+#> iter 2 value 855.792320
+#> iter 3 value 836.815291
+#> iter 4 value 836.277056
+#> iter 5 value 793.999774
+#> iter 6 value 786.930148
+#> iter 7 value 786.234393
+#> iter 8 value 786.213842
+#> iter 9 value 786.213554
+#> iter 10 value 786.213422
+#> iter 11 value 786.213222
+#> iter 12 value 786.213119
+#> iter 12 value 786.213119
+#> iter 12 value 786.213119
+#> final value 786.213119
+#> converged
+#> This is Run number 69
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.4651999 0.3885999 -2.815200 -11.811400 1
+#> 2 1 -6.20 -3.90 1.1080846 -0.5256243 -5.091915 -4.425624 2
+#> 3 1 -14.20 -5.80 2.0956649 2.4927948 -12.104335 -3.307205 2
+#> 4 1 -2.10 -13.20 1.3005730 -0.5364762 -0.799427 -13.736476 1
+#> 5 1 -1.70 -4.30 -0.4120258 -0.6109967 -2.112026 -4.910997 1
+#> 6 1 -6.90 -1.55 -0.2608904 0.4550302 -7.160890 -1.094970 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4400 -36775 8150
+#> initial value 998.131940
+#> iter 2 value 844.855215
+#> iter 3 value 830.022989
+#> iter 4 value 828.389904
+#> iter 5 value 786.543782
+#> iter 6 value 778.446270
+#> iter 7 value 777.151138
+#> iter 8 value 777.099923
+#> iter 9 value 777.099038
+#> iter 10 value 777.098891
+#> iter 11 value 777.098752
+#> iter 12 value 777.098636
+#> iter 12 value 777.098636
+#> iter 12 value 777.098636
+#> final value 777.098636
+#> converged
+#> This is Run number 70
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.8165725 0.9626176 -3.1665725 -11.237382 1
+#> 2 1 -6.20 -3.90 1.1118690 0.5078099 -5.0881310 -3.392190 2
+#> 3 1 -14.20 -5.80 2.0329138 0.7559811 -12.1670862 -5.044019 2
+#> 4 1 -2.10 -13.20 2.9823756 -1.1659006 0.8823756 -14.365901 1
+#> 5 1 -1.70 -4.30 2.8614145 -0.1327276 1.1614145 -4.432728 1
+#> 6 1 -6.90 -1.55 1.2917455 0.3822399 -5.6082545 -1.167760 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -36975 6600
+#> initial value 998.131940
+#> iter 2 value 851.020828
+#> iter 3 value 848.611774
+#> iter 4 value 844.971960
+#> iter 5 value 794.612407
+#> iter 6 value 785.045825
+#> iter 7 value 783.435321
+#> iter 8 value 783.402730
+#> iter 9 value 783.402692
+#> iter 10 value 783.402645
+#> iter 10 value 783.402642
+#> iter 10 value 783.402642
+#> final value 783.402642
+#> converged
+#> This is Run number 71
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.3976929 0.9177073 -2.7476929 -11.282293 1
+#> 2 1 -6.20 -3.90 2.7823111 0.5875632 -3.4176889 -3.312437 2
+#> 3 1 -14.20 -5.80 0.3129113 0.4492086 -13.8870887 -5.350791 2
+#> 4 1 -2.10 -13.20 -0.5796708 2.1342480 -2.6796708 -11.065752 1
+#> 5 1 -1.70 -4.30 1.2523503 -0.9882201 -0.4476497 -5.288220 1
+#> 6 1 -6.90 -1.55 0.8617463 -0.5378500 -6.0382537 -2.087850 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4720 -39200 8825
+#> initial value 998.131940
+#> iter 2 value 806.385411
+#> iter 3 value 802.788700
+#> iter 4 value 799.838408
+#> iter 5 value 752.711387
+#> iter 6 value 743.042890
+#> iter 7 value 741.529469
+#> iter 8 value 741.505839
+#> iter 9 value 741.505630
+#> iter 10 value 741.505417
+#> iter 10 value 741.505411
+#> iter 10 value 741.505410
+#> final value 741.505410
+#> converged
+#> This is Run number 72
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.5039744 3.74164899 -1.84602559 -8.4583510 1
+#> 2 1 -6.20 -3.90 0.6014584 1.09783691 -5.59854157 -2.8021631 2
+#> 3 1 -14.20 -5.80 -0.7142847 0.05776387 -14.91428468 -5.7422361 2
+#> 4 1 -2.10 -13.20 2.0433677 -0.80199150 -0.05663231 -14.0019915 1
+#> 5 1 -1.70 -4.30 0.1146474 1.99534585 -1.58535256 -2.3046542 1
+#> 6 1 -6.90 -1.55 2.5278417 2.13058140 -4.37215827 0.5805814 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3780 -36925 8600
+#> initial value 998.131940
+#> iter 2 value 839.409943
+#> iter 3 value 837.209696
+#> iter 4 value 832.400696
+#> iter 5 value 777.476360
+#> iter 6 value 768.266911
+#> iter 7 value 766.648901
+#> iter 8 value 766.626719
+#> iter 9 value 766.626676
+#> iter 10 value 766.626555
+#> iter 10 value 766.626550
+#> iter 10 value 766.626545
+#> final value 766.626545
+#> converged
+#> This is Run number 73
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.4494958 1.7345651 -3.7994958 -10.465435 1
+#> 2 1 -6.20 -3.90 0.3442363 1.0075835 -5.8557637 -2.892417 2
+#> 3 1 -14.20 -5.80 1.2978076 3.4928670 -12.9021924 -2.307133 2
+#> 4 1 -2.10 -13.20 -0.5748624 -0.1875035 -2.6748624 -13.387504 1
+#> 5 1 -1.70 -4.30 0.8694614 -0.4563697 -0.8305386 -4.756370 1
+#> 6 1 -6.90 -1.55 -0.2704916 0.4798187 -7.1704916 -1.070181 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -37150 7175
+#> initial value 998.131940
+#> iter 2 value 845.474908
+#> iter 3 value 842.184350
+#> iter 4 value 837.692625
+#> iter 5 value 786.745469
+#> iter 6 value 777.161731
+#> iter 7 value 775.610103
+#> iter 8 value 775.582905
+#> iter 9 value 775.582871
+#> iter 10 value 775.582813
+#> iter 10 value 775.582810
+#> iter 10 value 775.582801
+#> final value 775.582801
+#> converged
+#> This is Run number 74
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.4055048 0.6363696 -0.9444952 -11.563630 1
+#> 2 1 -6.20 -3.90 -0.8410177 -0.6075035 -7.0410177 -4.507503 2
+#> 3 1 -14.20 -5.80 0.5864629 0.8108504 -13.6135371 -4.989150 2
+#> 4 1 -2.10 -13.20 -0.7713636 4.6759420 -2.8713636 -8.524058 1
+#> 5 1 -1.70 -4.30 0.2133817 1.8492769 -1.4866183 -2.450723 1
+#> 6 1 -6.90 -1.55 1.8425574 0.3298618 -5.0574426 -1.220138 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -37475 8700
+#> initial value 998.131940
+#> iter 2 value 832.019744
+#> iter 3 value 815.771456
+#> iter 4 value 814.825325
+#> iter 5 value 775.292606
+#> iter 6 value 767.139963
+#> iter 7 value 766.124507
+#> iter 8 value 766.080129
+#> iter 9 value 766.079306
+#> iter 10 value 766.079220
+#> iter 11 value 766.078980
+#> iter 12 value 766.078715
+#> iter 12 value 766.078715
+#> iter 12 value 766.078715
+#> final value 766.078715
+#> converged
+#> This is Run number 75
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.04937408 -0.39690198 -2.399374 -12.596902 1
+#> 2 1 -6.20 -3.90 -1.27871756 0.88952995 -7.478718 -3.010470 2
+#> 3 1 -14.20 -5.80 0.89763527 -0.07210279 -13.302365 -5.872103 2
+#> 4 1 -2.10 -13.20 0.18292648 -0.10810404 -1.917074 -13.308104 1
+#> 5 1 -1.70 -4.30 -0.22566958 -0.84315770 -1.925670 -5.143158 1
+#> 6 1 -6.90 -1.55 -1.35869959 0.58450903 -8.258700 -0.965491 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3780 -36775 8800
+#> initial value 998.131940
+#> iter 2 value 840.068799
+#> iter 3 value 838.857927
+#> iter 4 value 834.507321
+#> iter 5 value 778.460092
+#> iter 6 value 769.335728
+#> iter 7 value 767.704145
+#> iter 8 value 767.682167
+#> iter 9 value 767.682117
+#> iter 10 value 767.682003
+#> iter 10 value 767.682002
+#> iter 10 value 767.682002
+#> final value 767.682002
+#> converged
+#> This is Run number 76
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.4519911 0.61047138 -1.898009 -11.589529 1
+#> 2 1 -6.20 -3.90 -0.2928155 1.27601586 -6.492815 -2.623984 2
+#> 3 1 -14.20 -5.80 1.3831303 2.81239788 -12.816870 -2.987602 2
+#> 4 1 -2.10 -13.20 0.5743638 1.89840165 -1.525636 -11.301598 1
+#> 5 1 -1.70 -4.30 -1.1256945 0.48999387 -2.825695 -3.810006 1
+#> 6 1 -6.90 -1.55 -0.0161102 0.08131718 -6.916110 -1.468683 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -38725 8250
+#> initial value 998.131940
+#> iter 2 value 817.068573
+#> iter 3 value 812.457111
+#> iter 4 value 807.734063
+#> iter 5 value 760.297454
+#> iter 6 value 750.542999
+#> iter 7 value 749.037400
+#> iter 8 value 749.013823
+#> iter 9 value 749.013736
+#> iter 10 value 749.013544
+#> iter 10 value 749.013534
+#> iter 10 value 749.013523
+#> final value 749.013523
+#> converged
+#> This is Run number 77
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.7092839 -0.7296749 -1.640716 -12.929675 1
+#> 2 1 -6.20 -3.90 0.6129858 1.0979546 -5.587014 -2.802045 2
+#> 3 1 -14.20 -5.80 -0.4285098 -0.9858998 -14.628510 -6.785900 2
+#> 4 1 -2.10 -13.20 -0.2134370 1.2988319 -2.313437 -11.901168 1
+#> 5 1 -1.70 -4.30 -0.2862218 0.3581475 -1.986222 -3.941853 1
+#> 6 1 -6.90 -1.55 -0.6343464 -0.3393799 -7.534346 -1.889380 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -37125 8250
+#> initial value 998.131940
+#> iter 2 value 839.755472
+#> iter 3 value 825.226355
+#> iter 4 value 824.349966
+#> iter 5 value 783.968283
+#> iter 6 value 775.750450
+#> iter 7 value 774.570434
+#> iter 8 value 774.524300
+#> iter 9 value 774.523459
+#> iter 10 value 774.523263
+#> iter 11 value 774.523026
+#> iter 12 value 774.522855
+#> iter 12 value 774.522855
+#> iter 12 value 774.522855
+#> final value 774.522855
+#> converged
+#> This is Run number 78
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.2608798 -1.11279258 -1.089120 -13.3127926 1
+#> 2 1 -6.20 -3.90 -0.3279171 2.94484766 -6.527917 -0.9551523 2
+#> 3 1 -14.20 -5.80 1.9931025 0.25163443 -12.206898 -5.5483656 2
+#> 4 1 -2.10 -13.20 0.2185614 0.71829931 -1.881439 -12.4817007 1
+#> 5 1 -1.70 -4.30 -1.0710554 0.05103286 -2.771055 -4.2489671 1
+#> 6 1 -6.90 -1.55 2.8050428 -0.84598798 -4.094957 -2.3959880 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4240 -36225 8775
+#> initial value 998.131940
+#> iter 2 value 847.812074
+#> iter 3 value 831.118040
+#> iter 4 value 830.109929
+#> iter 5 value 788.211325
+#> iter 6 value 780.498499
+#> iter 7 value 779.524584
+#> iter 8 value 779.489161
+#> iter 9 value 779.488550
+#> iter 10 value 779.488389
+#> iter 11 value 779.488189
+#> iter 12 value 779.488056
+#> iter 12 value 779.488056
+#> iter 12 value 779.488056
+#> final value 779.488056
+#> converged
+#> This is Run number 79
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.3399326 1.2372152 -2.68993256 -10.962785 1
+#> 2 1 -6.20 -3.90 -0.4568115 0.7409915 -6.65681154 -3.159009 2
+#> 3 1 -14.20 -5.80 4.8352628 -0.9642566 -9.36473716 -6.764257 2
+#> 4 1 -2.10 -13.20 0.9231170 0.5452014 -1.17688299 -12.654799 1
+#> 5 1 -1.70 -4.30 1.6846959 -0.7585376 -0.01530415 -5.058538 1
+#> 6 1 -6.90 -1.55 1.9289033 0.5238088 -4.97109674 -1.026191 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4740 -37125 8325
+#> initial value 998.131940
+#> iter 2 value 839.271032
+#> iter 3 value 824.493233
+#> iter 4 value 823.644758
+#> iter 5 value 783.327214
+#> iter 6 value 775.131054
+#> iter 7 value 773.986059
+#> iter 8 value 773.941167
+#> iter 9 value 773.940345
+#> iter 10 value 773.940149
+#> iter 11 value 773.939909
+#> iter 12 value 773.939737
+#> iter 12 value 773.939737
+#> iter 12 value 773.939737
+#> final value 773.939737
+#> converged
+#> This is Run number 80
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 5.0662042 -0.19352523 2.7162042 -12.393525 1
+#> 2 1 -6.20 -3.90 -0.3584616 -0.10399107 -6.5584616 -4.003991 2
+#> 3 1 -14.20 -5.80 0.1611421 0.11054841 -14.0388579 -5.689452 2
+#> 4 1 -2.10 -13.20 2.6498533 -1.38669236 0.5498533 -14.586692 1
+#> 5 1 -1.70 -4.30 0.7553165 -1.22336938 -0.9446835 -5.523369 1
+#> 6 1 -6.90 -1.55 -0.5841141 -0.08842405 -7.4841141 -1.638424 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5060 -37600 7075
+#> initial value 998.131940
+#> iter 2 value 840.250016
+#> iter 3 value 839.364399
+#> iter 4 value 836.983802
+#> iter 5 value 787.671916
+#> iter 6 value 777.898411
+#> iter 7 value 776.373204
+#> iter 8 value 776.340978
+#> iter 9 value 776.340855
+#> iter 10 value 776.340445
+#> iter 10 value 776.340445
+#> iter 11 value 776.340421
+#> iter 12 value 776.340404
+#> iter 12 value 776.340404
+#> iter 12 value 776.340400
+#> final value 776.340400
+#> converged
+#> This is Run number 81
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.3142708 -0.3536049 -1.035729 -12.5536049 1
+#> 2 1 -6.20 -3.90 0.7193266 0.9760824 -5.480673 -2.9239176 2
+#> 3 1 -14.20 -5.80 -0.2945289 0.5374173 -14.494529 -5.2625827 2
+#> 4 1 -2.10 -13.20 -1.4992786 0.7774192 -3.599279 -12.4225808 1
+#> 5 1 -1.70 -4.30 2.8189908 0.4188651 1.118991 -3.8811349 1
+#> 6 1 -6.90 -1.55 -0.6367349 1.0924987 -7.536735 -0.4575013 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -38175 7100
+#> initial value 998.131940
+#> iter 2 value 831.910454
+#> iter 3 value 827.862946
+#> iter 4 value 823.299517
+#> iter 5 value 776.145148
+#> iter 6 value 766.205683
+#> iter 7 value 764.682313
+#> iter 8 value 764.653548
+#> iter 9 value 764.653476
+#> iter 10 value 764.653433
+#> iter 10 value 764.653432
+#> iter 10 value 764.653430
+#> final value 764.653430
+#> converged
+#> This is Run number 82
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.18164345 -0.1033646 -2.168357 -12.303365 1
+#> 2 1 -6.20 -3.90 0.85906048 -1.0061318 -5.340940 -4.906132 2
+#> 3 1 -14.20 -5.80 0.08271827 -0.8723209 -14.117282 -6.672321 2
+#> 4 1 -2.10 -13.20 3.50633784 0.7939991 1.406338 -12.406001 1
+#> 5 1 -1.70 -4.30 -0.20138580 -0.9616517 -1.901386 -5.261652 1
+#> 6 1 -6.90 -1.55 0.40847472 -0.3435611 -6.491525 -1.893561 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5240 -39000 7375
+#> initial value 998.131940
+#> iter 2 value 818.545887
+#> iter 3 value 816.018234
+#> iter 4 value 813.272554
+#> iter 5 value 768.260275
+#> iter 6 value 758.135678
+#> iter 7 value 756.699858
+#> iter 8 value 756.671518
+#> iter 9 value 756.671137
+#> iter 10 value 756.671057
+#> iter 10 value 756.671057
+#> iter 11 value 756.671023
+#> iter 12 value 756.670923
+#> iter 12 value 756.670923
+#> iter 12 value 756.670917
+#> final value 756.670917
+#> converged
+#> This is Run number 83
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.006557373 2.35812781 -2.343443 -9.841872 1
+#> 2 1 -6.20 -3.90 -0.570835146 1.04128380 -6.770835 -2.858716 2
+#> 3 1 -14.20 -5.80 0.666473890 1.62960017 -13.533526 -4.170400 2
+#> 4 1 -2.10 -13.20 0.628472938 1.23254962 -1.471527 -11.967450 1
+#> 5 1 -1.70 -4.30 6.773680751 1.58148590 5.073681 -2.718514 1
+#> 6 1 -6.90 -1.55 -0.610179733 -0.03501699 -7.510180 -1.585017 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -35175 7575
+#> initial value 998.131940
+#> iter 2 value 868.444370
+#> iter 3 value 856.209917
+#> iter 4 value 855.446727
+#> iter 5 value 811.042523
+#> iter 6 value 803.484509
+#> iter 7 value 802.090879
+#> iter 8 value 802.051597
+#> iter 9 value 802.051076
+#> iter 10 value 802.050911
+#> iter 11 value 802.050691
+#> iter 12 value 802.050578
+#> iter 12 value 802.050578
+#> iter 12 value 802.050578
+#> final value 802.050578
+#> converged
+#> This is Run number 84
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.7410103 0.9308367 -1.608990 -11.269163 1
+#> 2 1 -6.20 -3.90 0.2023885 -1.1993718 -5.997611 -5.099372 2
+#> 3 1 -14.20 -5.80 6.5631674 2.7665919 -7.636833 -3.033408 2
+#> 4 1 -2.10 -13.20 0.2260080 -0.3893936 -1.873992 -13.589394 1
+#> 5 1 -1.70 -4.30 -0.2491636 -0.1650799 -1.949164 -4.465080 1
+#> 6 1 -6.90 -1.55 3.1025138 -0.4356947 -3.797486 -1.985695 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4120 -36325 7950
+#> initial value 998.131940
+#> iter 2 value 851.706422
+#> iter 3 value 851.424004
+#> iter 4 value 848.010123
+#> iter 5 value 792.374803
+#> iter 6 value 783.247393
+#> iter 7 value 781.726859
+#> iter 8 value 781.703535
+#> iter 9 value 781.703289
+#> iter 10 value 781.703225
+#> iter 10 value 781.703218
+#> iter 11 value 781.703202
+#> iter 12 value 781.703154
+#> iter 12 value 781.703149
+#> iter 12 value 781.703149
+#> final value 781.703149
+#> converged
+#> This is Run number 85
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.15685920 1.6181790 -0.1931408 -10.581821 1
+#> 2 1 -6.20 -3.90 0.46672790 -0.5924700 -5.7332721 -4.492470 2
+#> 3 1 -14.20 -5.80 -0.32280936 0.7126463 -14.5228094 -5.087354 2
+#> 4 1 -2.10 -13.20 -0.25683466 0.5463735 -2.3568347 -12.653627 1
+#> 5 1 -1.70 -4.30 0.08682804 -0.7854899 -1.6131720 -5.085490 1
+#> 6 1 -6.90 -1.55 1.00940826 0.1061092 -5.8905917 -1.443891 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -39225 6775
+#> initial value 998.131940
+#> iter 2 value 818.003724
+#> iter 3 value 808.752365
+#> iter 4 value 801.533124
+#> iter 5 value 758.677619
+#> iter 6 value 748.357946
+#> iter 7 value 746.817670
+#> iter 8 value 746.784597
+#> iter 9 value 746.784494
+#> iter 10 value 746.784477
+#> iter 10 value 746.784469
+#> iter 11 value 746.784455
+#> iter 11 value 746.784452
+#> iter 11 value 746.784450
+#> final value 746.784450
+#> converged
+#> This is Run number 86
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.3010769 -0.9141604 -2.6510769 -13.114160 1
+#> 2 1 -6.20 -3.90 0.1023188 0.8035392 -6.0976812 -3.096461 2
+#> 3 1 -14.20 -5.80 -0.2459610 -0.1114015 -14.4459610 -5.911402 2
+#> 4 1 -2.10 -13.20 0.4101373 0.5824786 -1.6898627 -12.617521 1
+#> 5 1 -1.70 -4.30 1.4802254 -0.9604515 -0.2197746 -5.260452 1
+#> 6 1 -6.90 -1.55 2.0798398 0.1295004 -4.8201602 -1.420500 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5220 -37050 6750
+#> initial value 998.131940
+#> iter 2 value 849.418370
+#> iter 3 value 839.474163
+#> iter 4 value 838.177804
+#> iter 5 value 796.663048
+#> iter 6 value 788.310262
+#> iter 7 value 786.256936
+#> iter 8 value 786.177593
+#> iter 9 value 786.176371
+#> iter 10 value 786.176345
+#> iter 11 value 786.176117
+#> iter 12 value 786.175818
+#> iter 12 value 786.175818
+#> iter 12 value 786.175818
+#> final value 786.175818
+#> converged
+#> This is Run number 87
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.2281456 0.07351175 -1.1218544 -12.126488 1
+#> 2 1 -6.20 -3.90 1.5385527 0.00620283 -4.6614473 -3.893797 2
+#> 3 1 -14.20 -5.80 -0.2672927 2.42437809 -14.4672927 -3.375622 2
+#> 4 1 -2.10 -13.20 -0.2231812 1.63727386 -2.3231812 -11.562726 1
+#> 5 1 -1.70 -4.30 1.2463589 0.24978596 -0.4536411 -4.050214 1
+#> 6 1 -6.90 -1.55 0.6295867 -1.34875019 -6.2704133 -2.898750 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -38650 8575
+#> initial value 998.131940
+#> iter 2 value 816.185596
+#> iter 3 value 813.204255
+#> iter 4 value 809.970548
+#> iter 5 value 761.322245
+#> iter 6 value 751.639968
+#> iter 7 value 750.124991
+#> iter 8 value 750.101974
+#> iter 9 value 750.101845
+#> iter 10 value 750.101566
+#> iter 10 value 750.101565
+#> iter 11 value 750.101550
+#> iter 12 value 750.101498
+#> iter 12 value 750.101498
+#> iter 12 value 750.101494
+#> final value 750.101494
+#> converged
+#> This is Run number 88
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.3899620 3.6925034 -2.739962 -8.507497 1
+#> 2 1 -6.20 -3.90 1.9221369 0.3410687 -4.277863 -3.558931 2
+#> 3 1 -14.20 -5.80 2.5180977 0.8891951 -11.681902 -4.910805 2
+#> 4 1 -2.10 -13.20 0.8369726 1.2324104 -1.263027 -11.967590 1
+#> 5 1 -1.70 -4.30 -0.5723168 -0.3453459 -2.272317 -4.645346 1
+#> 6 1 -6.90 -1.55 1.7238869 3.7486137 -5.176113 2.198614 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -36750 8750
+#> initial value 998.131940
+#> iter 2 value 841.423991
+#> iter 3 value 825.403712
+#> iter 4 value 824.930412
+#> iter 5 value 784.559152
+#> iter 6 value 776.612530
+#> iter 7 value 775.679787
+#> iter 8 value 775.646194
+#> iter 9 value 775.645622
+#> iter 10 value 775.645429
+#> iter 11 value 775.645149
+#> iter 12 value 775.644977
+#> iter 12 value 775.644977
+#> iter 12 value 775.644977
+#> final value 775.644977
+#> converged
+#> This is Run number 89
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.8252059 3.2157923 0.4752059 -8.984208 1
+#> 2 1 -6.20 -3.90 -1.6099043 2.0010008 -7.8099043 -1.898999 2
+#> 3 1 -14.20 -5.80 -0.4744442 0.2704471 -14.6744442 -5.529553 2
+#> 4 1 -2.10 -13.20 -0.4882044 -0.3979737 -2.5882044 -13.597974 1
+#> 5 1 -1.70 -4.30 -0.3199300 -0.9464690 -2.0199300 -5.246469 1
+#> 6 1 -6.90 -1.55 -0.7328442 -0.7353443 -7.6328442 -2.285344 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4240 -37500 9300
+#> initial value 998.131940
+#> iter 2 value 827.275275
+#> iter 3 value 827.058454
+#> iter 4 value 824.532562
+#> iter 5 value 769.781233
+#> iter 6 value 760.483775
+#> iter 7 value 758.859056
+#> iter 8 value 758.836213
+#> iter 9 value 758.836080
+#> iter 10 value 758.835983
+#> iter 10 value 758.835979
+#> iter 11 value 758.835957
+#> iter 11 value 758.835948
+#> iter 11 value 758.835946
+#> final value 758.835946
+#> converged
+#> This is Run number 90
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.49891682 2.0281329 -1.851083 -10.171867 1
+#> 2 1 -6.20 -3.90 -0.40957352 2.0659096 -6.609574 -1.834090 2
+#> 3 1 -14.20 -5.80 1.00185344 0.2533755 -13.198147 -5.546624 2
+#> 4 1 -2.10 -13.20 -0.40556423 0.2048927 -2.505564 -12.995107 1
+#> 5 1 -1.70 -4.30 -0.64828977 1.3893261 -2.348290 -2.910674 1
+#> 6 1 -6.90 -1.55 -0.00287213 -0.2826485 -6.902872 -1.832648 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -36100 8075
+#> initial value 998.131940
+#> iter 2 value 854.033442
+#> iter 3 value 839.757460
+#> iter 4 value 838.555263
+#> iter 5 value 795.747354
+#> iter 6 value 787.878810
+#> iter 7 value 786.613038
+#> iter 8 value 786.569092
+#> iter 9 value 786.568378
+#> iter 10 value 786.568212
+#> iter 11 value 786.568023
+#> iter 12 value 786.567897
+#> iter 12 value 786.567897
+#> iter 12 value 786.567897
+#> final value 786.567897
+#> converged
+#> This is Run number 91
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.04731083 1.2046841 -2.397311 -10.9953159 1
+#> 2 1 -6.20 -3.90 -0.50858903 -0.2590025 -6.708589 -4.1590025 2
+#> 3 1 -14.20 -5.80 -1.42204082 0.3560212 -15.622041 -5.4439788 2
+#> 4 1 -2.10 -13.20 3.96125219 -0.2783707 1.861252 -13.4783707 1
+#> 5 1 -1.70 -4.30 -0.47344109 0.2934525 -2.173441 -4.0065475 1
+#> 6 1 -6.90 -1.55 0.29926013 1.1701623 -6.600740 -0.3798377 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -39125 8300
+#> initial value 998.131940
+#> iter 2 value 811.033137
+#> iter 3 value 807.597655
+#> iter 4 value 804.449714
+#> iter 5 value 758.119461
+#> iter 6 value 748.275491
+#> iter 7 value 746.812537
+#> iter 8 value 746.789105
+#> iter 9 value 746.788968
+#> iter 10 value 746.788596
+#> iter 10 value 746.788591
+#> iter 11 value 746.788569
+#> iter 12 value 746.788528
+#> iter 12 value 746.788527
+#> iter 12 value 746.788522
+#> final value 746.788522
+#> converged
+#> This is Run number 92
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.70951345 -0.7903765 -1.64048655 -12.990377 1
+#> 2 1 -6.20 -3.90 -0.04594059 -0.6133461 -6.24594059 -4.513346 2
+#> 3 1 -14.20 -5.80 1.75782510 -0.1693818 -12.44217490 -5.969382 2
+#> 4 1 -2.10 -13.20 -0.31131070 3.3526483 -2.41131070 -9.847352 1
+#> 5 1 -1.70 -4.30 1.73733633 1.1470262 0.03733633 -3.152974 1
+#> 6 1 -6.90 -1.55 0.33397542 3.1130814 -6.56602458 1.563081 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5220 -37775 7700
+#> initial value 998.131940
+#> iter 2 value 834.314337
+#> iter 3 value 821.844110
+#> iter 4 value 821.067774
+#> iter 5 value 781.940916
+#> iter 6 value 773.367865
+#> iter 7 value 771.940261
+#> iter 8 value 771.881778
+#> iter 9 value 771.880709
+#> iter 10 value 771.880489
+#> iter 11 value 771.880227
+#> iter 12 value 771.880026
+#> iter 12 value 771.880026
+#> iter 12 value 771.880026
+#> final value 771.880026
+#> converged
+#> This is Run number 93
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.002544636 3.01269958 -2.352545 -9.1873004 1
+#> 2 1 -6.20 -3.90 0.461620685 -0.57228098 -5.738379 -4.4722810 2
+#> 3 1 -14.20 -5.80 -0.104974303 1.87082085 -14.304974 -3.9291792 2
+#> 4 1 -2.10 -13.20 0.917834504 0.03849098 -1.182165 -13.1615090 1
+#> 5 1 -1.70 -4.30 -1.047649137 1.06059458 -2.747649 -3.2394054 1
+#> 6 1 -6.90 -1.55 2.266104335 0.79433077 -4.633896 -0.7556692 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5240 -39025 7300
+#> initial value 998.131940
+#> iter 2 value 818.593263
+#> iter 3 value 815.915283
+#> iter 4 value 813.027616
+#> iter 5 value 768.271419
+#> iter 6 value 758.128104
+#> iter 7 value 756.690588
+#> iter 8 value 756.661966
+#> iter 9 value 756.661623
+#> iter 10 value 756.661524
+#> iter 10 value 756.661522
+#> iter 11 value 756.661497
+#> iter 12 value 756.661419
+#> iter 12 value 756.661417
+#> iter 12 value 756.661412
+#> final value 756.661412
+#> converged
+#> This is Run number 94
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.07649172 -0.4126947 -2.4264917 -12.612695 1
+#> 2 1 -6.20 -3.90 0.91224528 0.3568797 -5.2877547 -3.543120 2
+#> 3 1 -14.20 -5.80 -0.51983325 -0.3146800 -14.7198332 -6.114680 2
+#> 4 1 -2.10 -13.20 1.03192599 0.2935649 -1.0680740 -12.906435 1
+#> 5 1 -1.70 -4.30 1.62874650 1.0643130 -0.0712535 -3.235687 1
+#> 6 1 -6.90 -1.55 -0.70073712 6.7215510 -7.6007371 5.171551 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5020 -38850 7450
+#> initial value 998.131940
+#> iter 2 value 820.317754
+#> iter 3 value 817.229385
+#> iter 4 value 813.856785
+#> iter 5 value 768.247771
+#> iter 6 value 758.194501
+#> iter 7 value 756.748091
+#> iter 8 value 756.721008
+#> iter 9 value 756.720699
+#> iter 10 value 756.720675
+#> iter 10 value 756.720672
+#> iter 11 value 756.720645
+#> iter 12 value 756.720554
+#> iter 12 value 756.720553
+#> iter 13 value 756.720540
+#> iter 14 value 756.720528
+#> iter 14 value 756.720527
+#> iter 14 value 756.720527
+#> final value 756.720527
+#> converged
+#> This is Run number 95
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.75476506 1.1376200 -0.5952349 -11.062380 1
+#> 2 1 -6.20 -3.90 0.37143699 -0.4064870 -5.8285630 -4.306487 2
+#> 3 1 -14.20 -5.80 0.05597248 1.8895934 -14.1440275 -3.910407 2
+#> 4 1 -2.10 -13.20 -1.57002365 0.7956458 -3.6700237 -12.404354 1
+#> 5 1 -1.70 -4.30 1.02477855 2.7510652 -0.6752215 -1.548935 1
+#> 6 1 -6.90 -1.55 0.27774933 -1.4798926 -6.6222507 -3.029893 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4180 -37950 8700
+#> initial value 998.131940
+#> iter 2 value 825.118573
+#> iter 3 value 822.218489
+#> iter 4 value 818.088146
+#> iter 5 value 766.677225
+#> iter 6 value 757.197793
+#> iter 7 value 755.620741
+#> iter 8 value 755.597842
+#> iter 9 value 755.597757
+#> iter 10 value 755.597589
+#> iter 10 value 755.597589
+#> iter 10 value 755.597582
+#> final value 755.597582
+#> converged
+#> This is Run number 96
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.99460283 0.6204715 -3.3446028 -11.579529 1
+#> 2 1 -6.20 -3.90 0.27052160 2.0403030 -5.9294784 -1.859697 2
+#> 3 1 -14.20 -5.80 0.06212584 0.4919944 -14.1378742 -5.308006 2
+#> 4 1 -2.10 -13.20 -0.28130468 -0.7168769 -2.3813047 -13.916877 1
+#> 5 1 -1.70 -4.30 2.07091585 0.8318879 0.3709159 -3.468112 1
+#> 6 1 -6.90 -1.55 1.75504684 -1.0429918 -5.1449532 -2.592992 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4240 -34975 7900
+#> initial value 998.131940
+#> iter 2 value 868.696169
+#> iter 3 value 855.026244
+#> iter 4 value 853.943908
+#> iter 5 value 809.123841
+#> iter 6 value 801.699248
+#> iter 7 value 800.440198
+#> iter 8 value 800.403533
+#> iter 9 value 800.403021
+#> iter 10 value 800.402872
+#> iter 11 value 800.402691
+#> iter 12 value 800.402591
+#> iter 12 value 800.402591
+#> iter 12 value 800.402591
+#> final value 800.402591
+#> converged
+#> This is Run number 97
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.6804658 7.8234856 -0.66953424 -4.376514 1
+#> 2 1 -6.20 -3.90 -1.1723727 2.2616485 -7.37237269 -1.638352 2
+#> 3 1 -14.20 -5.80 0.5888012 0.2182166 -13.61119883 -5.581783 2
+#> 4 1 -2.10 -13.20 2.1592152 -0.4703820 0.05921521 -13.670382 1
+#> 5 1 -1.70 -4.30 -0.1667923 2.4902909 -1.86679234 -1.809709 2
+#> 6 1 -6.90 -1.55 3.5732289 0.1049713 -3.32677109 -1.445029 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3880 -35475 9075
+#> initial value 998.131940
+#> iter 2 value 854.786382
+#> iter 3 value 836.758096
+#> iter 4 value 835.665082
+#> iter 5 value 792.683592
+#> iter 6 value 785.376819
+#> iter 7 value 784.518924
+#> iter 8 value 784.489941
+#> iter 9 value 784.489473
+#> iter 10 value 784.489337
+#> iter 11 value 784.489169
+#> iter 12 value 784.489063
+#> iter 12 value 784.489063
+#> iter 12 value 784.489063
+#> final value 784.489063
+#> converged
+#> This is Run number 98
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.5462102 -1.1871589 -2.8962102 -13.387159 1
+#> 2 1 -6.20 -3.90 0.7099834 2.1583818 -5.4900166 -1.741618 2
+#> 3 1 -14.20 -5.80 -0.2238515 -1.4977059 -14.4238515 -7.297706 2
+#> 4 1 -2.10 -13.20 0.5999046 2.8819350 -1.5000954 -10.318065 1
+#> 5 1 -1.70 -4.30 0.9987987 0.4645474 -0.7012013 -3.835453 1
+#> 6 1 -6.90 -1.55 -0.1866644 -0.7704091 -7.0866644 -2.320409 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -37900 7825
+#> initial value 998.131940
+#> iter 2 value 831.737854
+#> iter 3 value 830.213381
+#> iter 4 value 827.407609
+#> iter 5 value 777.559280
+#> iter 6 value 767.825921
+#> iter 7 value 766.337915
+#> iter 8 value 766.311793
+#> iter 9 value 766.311410
+#> iter 10 value 766.311377
+#> iter 10 value 766.311371
+#> iter 10 value 766.311371
+#> final value 766.311371
+#> converged
+#> This is Run number 99
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.3315898832 2.05543660 -0.01841012 -10.144563 1
+#> 2 1 -6.20 -3.90 4.7108183578 -0.22771780 -1.48918164 -4.127718 1
+#> 3 1 -14.20 -5.80 -0.3416886667 -0.08102251 -14.54168867 -5.881023 2
+#> 4 1 -2.10 -13.20 0.0009812646 -0.64774726 -2.09901874 -13.847747 1
+#> 5 1 -1.70 -4.30 0.0158874385 2.67469882 -1.68411256 -1.625301 2
+#> 6 1 -6.90 -1.55 0.8868829836 0.47373977 -6.01311702 -1.076260 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5080 -38100 8125
+#> initial value 998.131940
+#> iter 2 value 827.160706
+#> iter 3 value 826.778951
+#> iter 4 value 825.297884
+#> iter 5 value 775.491644
+#> iter 6 value 765.702107
+#> iter 7 value 764.208502
+#> iter 8 value 764.182275
+#> iter 9 value 764.181846
+#> iter 10 value 764.181686
+#> iter 11 value 764.181624
+#> iter 12 value 764.181527
+#> iter 12 value 764.181527
+#> iter 12 value 764.181527
+#> final value 764.181527
+#> converged
+#> This is Run number 100
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.2749904 2.4036846 -2.624990392 -9.796315 1
+#> 2 1 -6.20 -3.90 1.1747567 2.4109400 -5.025243267 -1.489060 2
+#> 3 1 -14.20 -5.80 0.8599178 -0.6658785 -13.340082201 -6.465879 2
+#> 4 1 -2.10 -13.20 3.3923544 -0.4249671 1.292354434 -13.624967 1
+#> 5 1 -1.70 -4.30 1.7075315 -0.5737491 0.007531473 -4.873749 1
+#> 6 1 -6.90 -1.55 0.4773335 -0.2693873 -6.422666472 -1.819387 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5080 -36025 8325
+#> initial value 998.131940
+#> iter 2 value 853.590373
+#> iter 3 value 839.779287
+#> iter 4 value 839.735559
+#> iter 5 value 798.398646
+#> iter 6 value 790.565956
+#> iter 7 value 789.582415
+#> iter 8 value 789.557102
+#> iter 9 value 789.556798
+#> iter 10 value 789.556685
+#> iter 11 value 789.556483
+#> iter 12 value 789.556357
+#> iter 12 value 789.556357
+#> iter 12 value 789.556357
+#> final value 789.556357
+#> converged
+#> This is Run number 101
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.4079910 -0.8162012 -1.94200896 -13.0162012 1
+#> 2 1 -6.20 -3.90 0.1914849 1.4814915 -6.00851506 -2.4185085 2
+#> 3 1 -14.20 -5.80 3.6540535 -0.3954948 -10.54594652 -6.1954948 2
+#> 4 1 -2.10 -13.20 0.5519237 1.2387365 -1.54807631 -11.9612635 1
+#> 5 1 -1.70 -4.30 1.7658721 4.0701144 0.06587208 -0.2298856 1
+#> 6 1 -6.90 -1.55 0.3501438 -1.2284613 -6.54985618 -2.7784613 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -37700 8075
+#> initial value 998.131940
+#> iter 2 value 832.838065
+#> iter 3 value 830.771989
+#> iter 4 value 827.224463
+#> iter 5 value 776.194040
+#> iter 6 value 766.601257
+#> iter 7 value 765.087081
+#> iter 8 value 765.063059
+#> iter 9 value 765.062831
+#> iter 10 value 765.062673
+#> iter 10 value 765.062672
+#> iter 11 value 765.062655
+#> iter 12 value 765.062623
+#> iter 12 value 765.062623
+#> iter 12 value 765.062622
+#> final value 765.062622
+#> converged
+#> This is Run number 102
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.4812427 0.05158502 -3.8312427 -12.148415 1
+#> 2 1 -6.20 -3.90 2.3049594 0.81413303 -3.8950406 -3.085867 2
+#> 3 1 -14.20 -5.80 -0.1459469 -0.31402692 -14.3459469 -6.114027 2
+#> 4 1 -2.10 -13.20 1.0471054 0.92633216 -1.0528946 -12.273668 1
+#> 5 1 -1.70 -4.30 2.1909172 0.25721334 0.4909172 -4.042787 1
+#> 6 1 -6.90 -1.55 -0.6036608 -1.53812679 -7.5036608 -3.088127 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5240 -38825 6850
+#> initial value 998.131940
+#> iter 2 value 823.982573
+#> iter 3 value 821.040668
+#> iter 4 value 817.704584
+#> iter 5 value 773.195450
+#> iter 6 value 763.019507
+#> iter 7 value 761.524643
+#> iter 8 value 761.492486
+#> iter 9 value 761.492462
+#> iter 10 value 761.492272
+#> iter 10 value 761.492270
+#> iter 11 value 761.492221
+#> iter 11 value 761.492211
+#> iter 11 value 761.492210
+#> final value 761.492210
+#> converged
+#> This is Run number 103
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.4537448 0.5306759 -0.8962552 -11.669324 1
+#> 2 1 -6.20 -3.90 2.0038873 0.7907346 -4.1961127 -3.109265 2
+#> 3 1 -14.20 -5.80 0.9048046 1.1175996 -13.2951954 -4.682400 2
+#> 4 1 -2.10 -13.20 0.4674015 0.7068261 -1.6325985 -12.493174 1
+#> 5 1 -1.70 -4.30 0.7021442 1.8859523 -0.9978558 -2.414048 1
+#> 6 1 -6.90 -1.55 -0.3290045 -0.9432886 -7.2290045 -2.493289 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -38075 7275
+#> initial value 998.131940
+#> iter 2 value 832.464692
+#> iter 3 value 829.957257
+#> iter 4 value 826.501729
+#> iter 5 value 778.507509
+#> iter 6 value 768.622799
+#> iter 7 value 767.127165
+#> iter 8 value 767.098667
+#> iter 9 value 767.098497
+#> iter 9 value 767.098488
+#> iter 9 value 767.098488
+#> final value 767.098488
+#> converged
+#> This is Run number 104
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.40140541 0.7093695 -2.751405 -11.4906305 1
+#> 2 1 -6.20 -3.90 1.90602588 -0.4218238 -4.293974 -4.3218238 1
+#> 3 1 -14.20 -5.80 1.15946145 3.5923799 -13.040539 -2.2076201 2
+#> 4 1 -2.10 -13.20 -0.08381045 0.9720079 -2.183810 -12.2279921 1
+#> 5 1 -1.70 -4.30 -0.01500206 0.8907941 -1.715002 -3.4092059 1
+#> 6 1 -6.90 -1.55 -0.52757926 2.4772321 -7.427579 0.9272321 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -35150 7100
+#> initial value 998.131940
+#> iter 2 value 871.478534
+#> iter 3 value 860.992859
+#> iter 4 value 860.463363
+#> iter 5 value 815.861088
+#> iter 6 value 808.285567
+#> iter 7 value 806.686941
+#> iter 8 value 806.643973
+#> iter 9 value 806.643460
+#> iter 10 value 806.643289
+#> iter 11 value 806.643046
+#> iter 12 value 806.642932
+#> iter 12 value 806.642932
+#> iter 12 value 806.642932
+#> final value 806.642932
+#> converged
+#> This is Run number 105
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.5000914 -0.30229569 -1.849909 -12.502296 1
+#> 2 1 -6.20 -3.90 1.3090386 -0.69365525 -4.890961 -4.593655 2
+#> 3 1 -14.20 -5.80 -1.3005179 -0.99797290 -15.500518 -6.797973 2
+#> 4 1 -2.10 -13.20 0.3932459 0.05412133 -1.706754 -13.145879 1
+#> 5 1 -1.70 -4.30 0.5934903 3.30139397 -1.106510 -0.998606 2
+#> 6 1 -6.90 -1.55 -0.4097989 -0.72167328 -7.309799 -2.271673 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -36650 8350
+#> initial value 998.131940
+#> iter 2 value 845.348771
+#> iter 3 value 830.468515
+#> iter 4 value 829.646273
+#> iter 5 value 788.437234
+#> iter 6 value 780.413280
+#> iter 7 value 779.288065
+#> iter 8 value 779.247129
+#> iter 9 value 779.246413
+#> iter 10 value 779.246223
+#> iter 11 value 779.245991
+#> iter 12 value 779.245833
+#> iter 12 value 779.245833
+#> iter 12 value 779.245833
+#> final value 779.245833
+#> converged
+#> This is Run number 106
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.4489183 -0.8182376 1.098918 -13.018238 1
+#> 2 1 -6.20 -3.90 2.1715747 2.4147744 -4.028425 -1.485226 2
+#> 3 1 -14.20 -5.80 0.7769808 1.5580908 -13.423019 -4.241909 2
+#> 4 1 -2.10 -13.20 -0.6056746 0.6472338 -2.705675 -12.552766 1
+#> 5 1 -1.70 -4.30 2.9298958 1.9208159 1.229896 -2.379184 1
+#> 6 1 -6.90 -1.55 0.7805345 -0.5311440 -6.119465 -2.081144 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4900 -37725 7875
+#> initial value 998.131940
+#> iter 2 value 833.927016
+#> iter 3 value 833.427321
+#> iter 4 value 831.379188
+#> iter 5 value 780.762018
+#> iter 6 value 771.061512
+#> iter 7 value 769.567631
+#> iter 8 value 769.540379
+#> iter 9 value 769.539960
+#> iter 10 value 769.539789
+#> iter 11 value 769.539753
+#> iter 12 value 769.539663
+#> iter 12 value 769.539663
+#> iter 12 value 769.539663
+#> final value 769.539663
+#> converged
+#> This is Run number 107
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.03161072 -0.6483865 -2.318389 -12.8483865 1
+#> 2 1 -6.20 -3.90 -0.83412787 -0.8700861 -7.034128 -4.7700861 2
+#> 3 1 -14.20 -5.80 0.81627812 1.1674127 -13.383722 -4.6325873 2
+#> 4 1 -2.10 -13.20 0.32777239 -0.5539485 -1.772228 -13.7539485 1
+#> 5 1 -1.70 -4.30 0.23990160 2.3436375 -1.460098 -1.9563625 1
+#> 6 1 -6.90 -1.55 1.66923123 0.8466937 -5.230769 -0.7033063 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5800 -39200 8300
+#> initial value 998.131940
+#> iter 2 value 809.819226
+#> iter 3 value 809.115534
+#> iter 4 value 808.820495
+#> iter 5 value 762.987148
+#> iter 6 value 752.913973
+#> iter 7 value 751.449182
+#> iter 8 value 751.425478
+#> iter 9 value 751.425287
+#> iter 10 value 751.424868
+#> iter 11 value 751.424780
+#> iter 12 value 751.424679
+#> iter 12 value 751.424679
+#> iter 12 value 751.424679
+#> final value 751.424679
+#> converged
+#> This is Run number 108
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.2108041 1.0967799 -2.139196 -11.1032201 1
+#> 2 1 -6.20 -3.90 0.4956491 -0.2418877 -5.704351 -4.1418877 2
+#> 3 1 -14.20 -5.80 0.7063748 -0.1584985 -13.493625 -5.9584985 2
+#> 4 1 -2.10 -13.20 0.7124667 -0.4456100 -1.387533 -13.6456100 1
+#> 5 1 -1.70 -4.30 0.2598926 -0.7813890 -1.440107 -5.0813890 1
+#> 6 1 -6.90 -1.55 -0.9386438 1.3496515 -7.838644 -0.2003485 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -37200 8425
+#> initial value 998.131940
+#> iter 2 value 837.647995
+#> iter 3 value 822.742205
+#> iter 4 value 822.142081
+#> iter 5 value 782.276052
+#> iter 6 value 774.070759
+#> iter 7 value 772.997513
+#> iter 8 value 772.956073
+#> iter 9 value 772.955320
+#> iter 10 value 772.955114
+#> iter 11 value 772.954838
+#> iter 12 value 772.954651
+#> iter 12 value 772.954651
+#> iter 12 value 772.954651
+#> final value 772.954651
+#> converged
+#> This is Run number 109
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.4600599 1.4704877 -2.810060 -10.729512 1
+#> 2 1 -6.20 -3.90 2.5049667 0.5602735 -3.695033 -3.339726 2
+#> 3 1 -14.20 -5.80 -0.5291462 -0.2513481 -14.729146 -6.051348 2
+#> 4 1 -2.10 -13.20 -0.3335472 -1.4429086 -2.433547 -14.642909 1
+#> 5 1 -1.70 -4.30 -0.6569452 0.3729968 -2.356945 -3.927003 1
+#> 6 1 -6.90 -1.55 0.7496052 0.2483555 -6.150395 -1.301644 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4900 -37225 8000
+#> initial value 998.131940
+#> iter 2 value 840.008831
+#> iter 3 value 826.387453
+#> iter 4 value 825.518935
+#> iter 5 value 785.231876
+#> iter 6 value 776.911707
+#> iter 7 value 775.619076
+#> iter 8 value 775.568739
+#> iter 9 value 775.567833
+#> iter 10 value 775.567629
+#> iter 11 value 775.567388
+#> iter 12 value 775.567211
+#> iter 12 value 775.567211
+#> iter 12 value 775.567211
+#> final value 775.567211
+#> converged
+#> This is Run number 110
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.2036090 0.7283846 -2.1463910 -11.4716154 1
+#> 2 1 -6.20 -3.90 0.4676617 0.2784334 -5.7323383 -3.6215666 2
+#> 3 1 -14.20 -5.80 0.1859984 0.1470979 -14.0140016 -5.6529021 2
+#> 4 1 -2.10 -13.20 -0.3001097 2.0874261 -2.4001097 -11.1125739 1
+#> 5 1 -1.70 -4.30 1.2791438 -0.3651491 -0.4208562 -4.6651491 1
+#> 6 1 -6.90 -1.55 0.9454083 1.6593665 -5.9545917 0.1093665 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4340 -36700 8550
+#> initial value 998.131940
+#> iter 2 value 843.242397
+#> iter 3 value 827.202216
+#> iter 4 value 825.910783
+#> iter 5 value 784.446618
+#> iter 6 value 776.494698
+#> iter 7 value 775.398651
+#> iter 8 value 775.355386
+#> iter 9 value 775.354612
+#> iter 10 value 775.354453
+#> iter 11 value 775.354278
+#> iter 12 value 775.354144
+#> iter 12 value 775.354144
+#> iter 12 value 775.354144
+#> final value 775.354144
+#> converged
+#> This is Run number 111
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.8473046 -0.02600532 -3.197305 -12.226005 1
+#> 2 1 -6.20 -3.90 0.9876186 -1.22564925 -5.212381 -5.125649 2
+#> 3 1 -14.20 -5.80 1.9564033 -0.62091324 -12.243597 -6.420913 2
+#> 4 1 -2.10 -13.20 -0.4117944 -0.92077981 -2.511794 -14.120780 1
+#> 5 1 -1.70 -4.30 0.0789743 2.31062567 -1.621026 -1.989374 1
+#> 6 1 -6.90 -1.55 -0.9954379 0.30736517 -7.895438 -1.242635 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5080 -37175 6875
+#> initial value 998.131940
+#> iter 2 value 847.092228
+#> iter 3 value 846.758717
+#> iter 4 value 844.602380
+#> iter 5 value 794.290087
+#> iter 6 value 784.662819
+#> iter 7 value 783.103648
+#> iter 8 value 783.069596
+#> iter 9 value 783.069455
+#> iter 10 value 783.069089
+#> iter 10 value 783.069089
+#> iter 11 value 783.069074
+#> iter 12 value 783.069033
+#> iter 12 value 783.069033
+#> iter 12 value 783.069031
+#> final value 783.069031
+#> converged
+#> This is Run number 112
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.32851519 1.1561615 -2.678515 -11.043839 1
+#> 2 1 -6.20 -3.90 0.07855314 1.1513832 -6.121447 -2.748617 2
+#> 3 1 -14.20 -5.80 -1.38328018 1.4413701 -15.583280 -4.358630 2
+#> 4 1 -2.10 -13.20 0.81934598 1.6632724 -1.280654 -11.536728 1
+#> 5 1 -1.70 -4.30 -0.73046403 2.1756354 -2.430464 -2.124365 2
+#> 6 1 -6.90 -1.55 1.79683636 -0.5629719 -5.103164 -2.112972 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -36800 8650
+#> initial value 998.131940
+#> iter 2 value 841.319488
+#> iter 3 value 825.109759
+#> iter 4 value 824.051122
+#> iter 5 value 783.065683
+#> iter 6 value 775.106269
+#> iter 7 value 774.068757
+#> iter 8 value 774.027742
+#> iter 9 value 774.027001
+#> iter 10 value 774.026831
+#> iter 11 value 774.026624
+#> iter 12 value 774.026475
+#> iter 12 value 774.026475
+#> iter 12 value 774.026475
+#> final value 774.026475
+#> converged
+#> This is Run number 113
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.67908208 -0.6172328 -3.029082 -12.8172328 1
+#> 2 1 -6.20 -3.90 -0.17856471 0.2350492 -6.378565 -3.6649508 2
+#> 3 1 -14.20 -5.80 0.24288854 3.4118086 -13.957111 -2.3881914 2
+#> 4 1 -2.10 -13.20 0.70465092 2.1744507 -1.395349 -11.0255493 1
+#> 5 1 -1.70 -4.30 0.02635375 1.4552814 -1.673646 -2.8447186 1
+#> 6 1 -6.90 -1.55 0.09274352 0.7452774 -6.807256 -0.8047226 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3980 -35975 7550
+#> initial value 998.131940
+#> iter 2 value 858.355060
+#> iter 3 value 857.217708
+#> iter 4 value 853.269406
+#> iter 5 value 797.407201
+#> iter 6 value 788.367794
+#> iter 7 value 786.849729
+#> iter 8 value 786.826365
+#> iter 9 value 786.826258
+#> iter 10 value 786.826165
+#> iter 10 value 786.826165
+#> iter 11 value 786.826143
+#> iter 12 value 786.826129
+#> iter 12 value 786.826129
+#> iter 12 value 786.826128
+#> final value 786.826128
+#> converged
+#> This is Run number 114
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.21211488 0.0002347488 -2.562115 -12.199765 1
+#> 2 1 -6.20 -3.90 0.54538410 0.1543775376 -5.654616 -3.745622 2
+#> 3 1 -14.20 -5.80 1.14179789 -0.6938781477 -13.058202 -6.493878 2
+#> 4 1 -2.10 -13.20 -0.92658971 0.8548961868 -3.026590 -12.345104 1
+#> 5 1 -1.70 -4.30 -0.71589547 -1.1728768929 -2.415895 -5.472877 1
+#> 6 1 -6.90 -1.55 -0.03692229 -0.2732348157 -6.936922 -1.823235 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4120 -35175 9100
+#> initial value 998.131940
+#> iter 2 value 858.439609
+#> iter 3 value 840.955349
+#> iter 4 value 840.470566
+#> iter 5 value 797.888984
+#> iter 6 value 790.669628
+#> iter 7 value 789.886996
+#> iter 8 value 789.865183
+#> iter 9 value 789.864869
+#> iter 10 value 789.864736
+#> iter 11 value 789.864545
+#> iter 12 value 789.864444
+#> iter 12 value 789.864444
+#> iter 12 value 789.864444
+#> final value 789.864444
+#> converged
+#> This is Run number 115
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.0877371 0.5322919 -3.437737 -11.667708 1
+#> 2 1 -6.20 -3.90 -1.0644939 -0.4748330 -7.264494 -4.374833 2
+#> 3 1 -14.20 -5.80 0.1388093 0.7215145 -14.061191 -5.078485 2
+#> 4 1 -2.10 -13.20 0.8783040 -1.2465353 -1.221696 -14.446535 1
+#> 5 1 -1.70 -4.30 0.4531047 -0.5759108 -1.246895 -4.875911 1
+#> 6 1 -6.90 -1.55 -0.4005852 -0.3492541 -7.300585 -1.899254 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4340 -37525 8100
+#> initial value 998.131940
+#> iter 2 value 835.030800
+#> iter 3 value 832.976787
+#> iter 4 value 829.244684
+#> iter 5 value 777.548338
+#> iter 6 value 768.019109
+#> iter 7 value 766.494836
+#> iter 8 value 766.471117
+#> iter 9 value 766.470917
+#> iter 10 value 766.470771
+#> iter 10 value 766.470770
+#> iter 11 value 766.470751
+#> iter 12 value 766.470723
+#> iter 12 value 766.470723
+#> iter 12 value 766.470718
+#> final value 766.470718
+#> converged
+#> This is Run number 116
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.5140125 -1.36609455 -2.864012 -13.566095 1
+#> 2 1 -6.20 -3.90 0.5196158 0.17772103 -5.680384 -3.722279 2
+#> 3 1 -14.20 -5.80 2.0144796 0.82693930 -12.185520 -4.973061 2
+#> 4 1 -2.10 -13.20 -0.6178215 0.75858402 -2.717822 -12.441416 1
+#> 5 1 -1.70 -4.30 -0.6795010 -0.04639285 -2.379501 -4.346393 1
+#> 6 1 -6.90 -1.55 0.1580696 0.07871844 -6.741930 -1.471282 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4280 -38475 9225
+#> initial value 998.131940
+#> iter 2 value 814.059877
+#> iter 3 value 810.974415
+#> iter 4 value 807.456986
+#> iter 5 value 756.781021
+#> iter 6 value 747.340702
+#> iter 7 value 745.733679
+#> iter 8 value 745.708610
+#> iter 9 value 745.708435
+#> iter 10 value 745.708349
+#> iter 10 value 745.708347
+#> iter 10 value 745.708346
+#> final value 745.708346
+#> converged
+#> This is Run number 117
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.09137498 3.6127809 -2.4413750 -8.5872191 1
+#> 2 1 -6.20 -3.90 0.11303570 -0.2336817 -6.0869643 -4.1336817 2
+#> 3 1 -14.20 -5.80 0.18366531 3.7779450 -14.0163347 -2.0220550 2
+#> 4 1 -2.10 -13.20 -0.43863862 -0.1814993 -2.5386386 -13.3814993 1
+#> 5 1 -1.70 -4.30 2.09093679 -0.6909362 0.3909368 -4.9909362 1
+#> 6 1 -6.90 -1.55 -0.24385128 0.8031512 -7.1438513 -0.7468488 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -37150 7625
+#> initial value 998.131940
+#> iter 2 value 843.098724
+#> iter 3 value 841.898313
+#> iter 4 value 838.707941
+#> iter 5 value 786.695234
+#> iter 6 value 777.186229
+#> iter 7 value 775.679939
+#> iter 8 value 775.653690
+#> iter 9 value 775.653460
+#> iter 10 value 775.653284
+#> iter 10 value 775.653283
+#> iter 11 value 775.653255
+#> iter 12 value 775.653225
+#> iter 12 value 775.653225
+#> iter 12 value 775.653217
+#> final value 775.653217
+#> converged
+#> This is Run number 118
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.7345434 -0.9716435 0.3845434 -13.1716435 1
+#> 2 1 -6.20 -3.90 2.6798949 -0.4213632 -3.5201051 -4.3213632 1
+#> 3 1 -14.20 -5.80 -0.2692402 -0.4905069 -14.4692402 -6.2905069 2
+#> 4 1 -2.10 -13.20 -0.6984046 0.5068236 -2.7984046 -12.6931764 1
+#> 5 1 -1.70 -4.30 0.5454713 0.1233905 -1.1545287 -4.1766095 1
+#> 6 1 -6.90 -1.55 -0.9141432 2.3300929 -7.8141432 0.7800929 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5520 -37075 6150
+#> initial value 998.131940
+#> iter 2 value 851.968660
+#> iter 3 value 843.755045
+#> iter 4 value 842.522639
+#> iter 5 value 800.924950
+#> iter 6 value 792.633830
+#> iter 7 value 790.167799
+#> iter 8 value 790.071787
+#> iter 9 value 790.070333
+#> iter 10 value 790.070250
+#> iter 11 value 790.069994
+#> iter 12 value 790.069742
+#> iter 12 value 790.069742
+#> iter 12 value 790.069742
+#> final value 790.069742
+#> converged
+#> This is Run number 119
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.0366815 -0.09483435 -0.3133185 -12.294834 1
+#> 2 1 -6.20 -3.90 0.1135647 0.87455300 -6.0864353 -3.025447 2
+#> 3 1 -14.20 -5.80 -0.7157262 -1.27910309 -14.9157262 -7.079103 2
+#> 4 1 -2.10 -13.20 0.2852741 0.02788709 -1.8147259 -13.172113 1
+#> 5 1 -1.70 -4.30 -0.3721056 0.20768438 -2.0721056 -4.092316 1
+#> 6 1 -6.90 -1.55 -0.2523304 -0.26971477 -7.1523304 -1.819715 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -39125 7250
+#> initial value 998.131940
+#> iter 2 value 817.237940
+#> iter 3 value 811.744572
+#> iter 4 value 806.499551
+#> iter 5 value 762.577763
+#> iter 6 value 752.455199
+#> iter 7 value 750.990088
+#> iter 8 value 750.962768
+#> iter 9 value 750.962742
+#> iter 10 value 750.962661
+#> iter 10 value 750.962660
+#> iter 10 value 750.962654
+#> final value 750.962654
+#> converged
+#> This is Run number 120
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.24027988 0.5732353 -1.109720 -11.626765 1
+#> 2 1 -6.20 -3.90 -0.48024159 -0.4890192 -6.680242 -4.389019 2
+#> 3 1 -14.20 -5.80 -0.38233676 -0.2497660 -14.582337 -6.049766 2
+#> 4 1 -2.10 -13.20 -0.64242042 -0.5240717 -2.742420 -13.724072 1
+#> 5 1 -1.70 -4.30 -0.09939448 2.2864335 -1.799394 -2.013567 1
+#> 6 1 -6.90 -1.55 1.33511071 -1.1720366 -5.564889 -2.722037 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3400 -36150 8950
+#> initial value 998.131940
+#> iter 2 value 846.639551
+#> iter 3 value 845.781297
+#> iter 4 value 840.673805
+#> iter 5 value 781.963073
+#> iter 6 value 773.082551
+#> iter 7 value 771.388196
+#> iter 8 value 771.366187
+#> iter 9 value 771.366155
+#> iter 10 value 771.366114
+#> iter 11 value 771.366097
+#> iter 11 value 771.366093
+#> iter 11 value 771.366093
+#> final value 771.366093
+#> converged
+#> This is Run number 121
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.04222054 -0.2485311 -2.392221 -12.4485311 1
+#> 2 1 -6.20 -3.90 -1.03776776 2.6307776 -7.237768 -1.2692224 2
+#> 3 1 -14.20 -5.80 0.58557080 -1.1741697 -13.614429 -6.9741697 2
+#> 4 1 -2.10 -13.20 0.34353713 1.4942259 -1.756463 -11.7057741 1
+#> 5 1 -1.70 -4.30 0.51756185 2.9132265 -1.182438 -1.3867735 1
+#> 6 1 -6.90 -1.55 -0.19531985 0.7059419 -7.095320 -0.8440581 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5340 -37175 6775
+#> initial value 998.131940
+#> iter 2 value 847.612138
+#> iter 3 value 837.776639
+#> iter 4 value 836.702336
+#> iter 5 value 795.650996
+#> iter 6 value 787.253424
+#> iter 7 value 785.231997
+#> iter 8 value 785.154154
+#> iter 9 value 785.152942
+#> iter 10 value 785.152926
+#> iter 11 value 785.152663
+#> iter 12 value 785.152311
+#> iter 12 value 785.152311
+#> iter 12 value 785.152311
+#> final value 785.152311
+#> converged
+#> This is Run number 122
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.0016892 2.3143741 -1.3483108 -9.885626 1
+#> 2 1 -6.20 -3.90 1.6101777 1.2950576 -4.5898223 -2.604942 2
+#> 3 1 -14.20 -5.80 1.9642354 -0.2866202 -12.2357646 -6.086620 2
+#> 4 1 -2.10 -13.20 1.2871474 1.0206118 -0.8128526 -12.179388 1
+#> 5 1 -1.70 -4.30 1.1514761 0.5088446 -0.5485239 -3.791155 1
+#> 6 1 -6.90 -1.55 0.8105237 -0.3219842 -6.0894763 -1.871984 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4980 -38725 7325
+#> initial value 998.131940
+#> iter 2 value 822.853584
+#> iter 3 value 819.655096
+#> iter 4 value 816.069924
+#> iter 5 value 770.295687
+#> iter 6 value 760.245544
+#> iter 7 value 758.785174
+#> iter 8 value 758.757404
+#> iter 9 value 758.757151
+#> iter 10 value 758.757124
+#> iter 10 value 758.757120
+#> iter 10 value 758.757117
+#> final value 758.757117
+#> converged
+#> This is Run number 123
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.1505136 5.677472 -2.5005136 -6.522528 1
+#> 2 1 -6.20 -3.90 3.1014103 -1.040188 -3.0985897 -4.940188 1
+#> 3 1 -14.20 -5.80 0.9785421 1.629698 -13.2214579 -4.170302 2
+#> 4 1 -2.10 -13.20 2.5095816 2.671151 0.4095816 -10.528849 1
+#> 5 1 -1.70 -4.30 0.5502141 1.907676 -1.1497859 -2.392324 1
+#> 6 1 -6.90 -1.55 -0.6353017 1.189380 -7.5353017 -0.360620 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -35825 7625
+#> initial value 998.131940
+#> iter 2 value 860.231791
+#> iter 3 value 847.487802
+#> iter 4 value 846.292879
+#> iter 5 value 802.670157
+#> iter 6 value 794.836996
+#> iter 7 value 793.374416
+#> iter 8 value 793.326133
+#> iter 9 value 793.325412
+#> iter 10 value 793.325246
+#> iter 11 value 793.325043
+#> iter 12 value 793.324920
+#> iter 12 value 793.324920
+#> iter 12 value 793.324920
+#> final value 793.324920
+#> converged
+#> This is Run number 124
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.9123980 0.38570156 -3.262398 -11.814298 1
+#> 2 1 -6.20 -3.90 1.5498398 -0.09666985 -4.650160 -3.996670 2
+#> 3 1 -14.20 -5.80 -1.3184796 -0.01495153 -15.518480 -5.814952 2
+#> 4 1 -2.10 -13.20 -1.4884834 0.19432379 -3.588483 -13.005676 1
+#> 5 1 -1.70 -4.30 -0.4161544 0.60705575 -2.116154 -3.692944 1
+#> 6 1 -6.90 -1.55 0.1930911 0.20397130 -6.706909 -1.346029 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4100 -35750 8150
+#> initial value 998.131940
+#> iter 2 value 857.706440
+#> iter 3 value 842.715591
+#> iter 4 value 841.057462
+#> iter 5 value 797.154901
+#> iter 6 value 789.448607
+#> iter 7 value 788.193302
+#> iter 8 value 788.149515
+#> iter 9 value 788.148832
+#> iter 10 value 788.148700
+#> iter 11 value 788.148568
+#> iter 12 value 788.148471
+#> iter 12 value 788.148471
+#> iter 12 value 788.148471
+#> final value 788.148471
+#> converged
+#> This is Run number 125
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.7573370 0.3504043 -1.592663 -11.849596 1
+#> 2 1 -6.20 -3.90 -0.4384079 1.3770454 -6.638408 -2.522955 2
+#> 3 1 -14.20 -5.80 -0.8598882 1.3788316 -15.059888 -4.421168 2
+#> 4 1 -2.10 -13.20 -0.5838965 0.5965356 -2.683897 -12.603464 1
+#> 5 1 -1.70 -4.30 -0.5884171 -0.4921006 -2.288417 -4.792101 1
+#> 6 1 -6.90 -1.55 0.2653371 1.2149100 -6.634663 -0.335090 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -37225 7175
+#> initial value 998.131940
+#> iter 2 value 844.736737
+#> iter 3 value 843.548964
+#> iter 4 value 840.610099
+#> iter 5 value 789.840495
+#> iter 6 value 780.231657
+#> iter 7 value 778.710434
+#> iter 8 value 778.680882
+#> iter 9 value 778.680793
+#> iter 10 value 778.680467
+#> iter 10 value 778.680467
+#> iter 11 value 778.680437
+#> iter 11 value 778.680433
+#> iter 11 value 778.680432
+#> final value 778.680432
+#> converged
+#> This is Run number 126
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.6756415 0.7055207 -3.0256415 -11.494479 1
+#> 2 1 -6.20 -3.90 0.3086389 0.6147182 -5.8913611 -3.285282 2
+#> 3 1 -14.20 -5.80 -0.2258853 0.2674702 -14.4258853 -5.532530 2
+#> 4 1 -2.10 -13.20 -0.2322854 0.5821128 -2.3322854 -12.617887 1
+#> 5 1 -1.70 -4.30 1.8727015 0.9561527 0.1727015 -3.343847 1
+#> 6 1 -6.90 -1.55 1.3664775 -0.8963681 -5.5335225 -2.446368 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5220 -36125 7750
+#> initial value 998.131940
+#> iter 2 value 855.878662
+#> iter 3 value 843.854416
+#> iter 4 value 843.718269
+#> iter 5 value 801.873280
+#> iter 6 value 793.881447
+#> iter 7 value 792.606571
+#> iter 8 value 792.571120
+#> iter 9 value 792.570679
+#> iter 10 value 792.570522
+#> iter 11 value 792.570287
+#> iter 12 value 792.570150
+#> iter 12 value 792.570150
+#> iter 12 value 792.570150
+#> final value 792.570150
+#> converged
+#> This is Run number 127
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.18239791 5.014974 -2.532398 -7.185026 1
+#> 2 1 -6.20 -3.90 -0.09821512 1.093688 -6.298215 -2.806312 2
+#> 3 1 -14.20 -5.80 1.70352244 1.032816 -12.496478 -4.767184 2
+#> 4 1 -2.10 -13.20 -0.39841541 2.254206 -2.498415 -10.945794 1
+#> 5 1 -1.70 -4.30 -1.34278337 1.479273 -3.042783 -2.820727 2
+#> 6 1 -6.90 -1.55 0.94808958 -1.994770 -5.951910 -3.544770 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -38050 8150
+#> initial value 998.131940
+#> iter 2 value 827.656968
+#> iter 3 value 826.516513
+#> iter 4 value 824.225901
+#> iter 5 value 774.178354
+#> iter 6 value 764.457903
+#> iter 7 value 762.963210
+#> iter 8 value 762.938271
+#> iter 9 value 762.937932
+#> iter 10 value 762.937729
+#> iter 11 value 762.937705
+#> iter 12 value 762.937623
+#> iter 12 value 762.937623
+#> iter 12 value 762.937623
+#> final value 762.937623
+#> converged
+#> This is Run number 128
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.1651854 0.1840418 0.8151854 -12.0159582 1
+#> 2 1 -6.20 -3.90 -0.4119567 1.5007353 -6.6119567 -2.3992647 2
+#> 3 1 -14.20 -5.80 1.3404447 -0.5106557 -12.8595553 -6.3106557 2
+#> 4 1 -2.10 -13.20 -0.7945385 3.4739843 -2.8945385 -9.7260157 1
+#> 5 1 -1.70 -4.30 0.5125475 0.5148778 -1.1874525 -3.7851222 1
+#> 6 1 -6.90 -1.55 -0.2390756 0.6835191 -7.1390756 -0.8664809 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5040 -38375 8250
+#> initial value 998.131940
+#> iter 2 value 822.437503
+#> iter 3 value 821.473704
+#> iter 4 value 819.788360
+#> iter 5 value 770.696397
+#> iter 6 value 760.886765
+#> iter 7 value 759.398912
+#> iter 8 value 759.374124
+#> iter 9 value 759.373895
+#> iter 10 value 759.373687
+#> iter 10 value 759.373685
+#> iter 10 value 759.373683
+#> final value 759.373683
+#> converged
+#> This is Run number 129
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.030228998 -0.81525133 -2.319771 -13.015251 1
+#> 2 1 -6.20 -3.90 -0.002161270 0.46314506 -6.202161 -3.436855 2
+#> 3 1 -14.20 -5.80 -0.005469986 3.18949727 -14.205470 -2.610503 2
+#> 4 1 -2.10 -13.20 -1.801684136 -0.36667101 -3.901684 -13.566671 1
+#> 5 1 -1.70 -4.30 -1.152923130 0.24832529 -2.852923 -4.051675 1
+#> 6 1 -6.90 -1.55 -0.134797343 0.03610368 -7.034797 -1.513896 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4980 -37875 7950
+#> initial value 998.131940
+#> iter 2 value 831.398350
+#> iter 3 value 830.960214
+#> iter 4 value 829.141569
+#> iter 5 value 778.892601
+#> iter 6 value 769.149129
+#> iter 7 value 767.656557
+#> iter 8 value 767.629426
+#> iter 9 value 767.628970
+#> iter 10 value 767.628849
+#> iter 11 value 767.628809
+#> iter 12 value 767.628684
+#> iter 12 value 767.628684
+#> iter 12 value 767.628684
+#> final value 767.628684
+#> converged
+#> This is Run number 130
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.5125512 0.5868629 0.1625512 -11.61313705 1
+#> 2 1 -6.20 -3.90 -0.1876644 3.3903967 -6.3876644 -0.50960325 2
+#> 3 1 -14.20 -5.80 0.3928805 -0.8712741 -13.8071195 -6.67127413 2
+#> 4 1 -2.10 -13.20 -0.2093922 -1.1212865 -2.3093922 -14.32128651 1
+#> 5 1 -1.70 -4.30 0.1461210 1.6551210 -1.5538790 -2.64487902 1
+#> 6 1 -6.90 -1.55 0.3450829 1.4968477 -6.5549171 -0.05315232 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5120 -39025 7450
+#> initial value 998.131940
+#> iter 2 value 817.736729
+#> iter 3 value 814.728745
+#> iter 4 value 811.574235
+#> iter 5 value 766.560236
+#> iter 6 value 756.464096
+#> iter 7 value 755.030437
+#> iter 8 value 755.003261
+#> iter 9 value 755.002919
+#> iter 10 value 755.002882
+#> iter 10 value 755.002879
+#> iter 11 value 755.002849
+#> iter 12 value 755.002742
+#> iter 12 value 755.002735
+#> iter 13 value 755.002720
+#> iter 13 value 755.002720
+#> iter 13 value 755.002719
+#> final value 755.002719
+#> converged
+#> This is Run number 131
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.2060631 -0.01558264 -2.556063 -12.2155826 1
+#> 2 1 -6.20 -3.90 0.7707421 0.77263842 -5.429258 -3.1273616 2
+#> 3 1 -14.20 -5.80 1.6044850 1.24227409 -12.595515 -4.5577259 2
+#> 4 1 -2.10 -13.20 -1.2009451 0.69290972 -3.300945 -12.5070903 1
+#> 5 1 -1.70 -4.30 3.1853672 1.64548808 1.485367 -2.6545119 1
+#> 6 1 -6.90 -1.55 2.4732815 2.01945264 -4.426718 0.4694526 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5440 -38275 6150
+#> initial value 998.131940
+#> iter 2 value 835.402757
+#> iter 3 value 833.206642
+#> iter 4 value 830.291329
+#> iter 5 value 785.227006
+#> iter 6 value 775.168278
+#> iter 7 value 773.476424
+#> iter 8 value 773.433453
+#> iter 9 value 773.433372
+#> iter 10 value 773.433341
+#> iter 10 value 773.433332
+#> iter 10 value 773.433332
+#> final value 773.433332
+#> converged
+#> This is Run number 132
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.9666891 -0.3345445 -0.3833109 -12.534544 1
+#> 2 1 -6.20 -3.90 0.3052846 1.6229937 -5.8947154 -2.277006 2
+#> 3 1 -14.20 -5.80 -0.4057516 3.5136987 -14.6057516 -2.286301 2
+#> 4 1 -2.10 -13.20 0.5944379 0.8094452 -1.5055621 -12.390555 1
+#> 5 1 -1.70 -4.30 -0.1204873 3.1016291 -1.8204873 -1.198371 2
+#> 6 1 -6.90 -1.55 2.2216167 2.5777421 -4.6783833 1.027742 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5620 -38500 6550
+#> initial value 998.131940
+#> iter 2 value 830.215398
+#> iter 3 value 828.997923
+#> iter 4 value 826.987284
+#> iter 5 value 781.797237
+#> iter 6 value 771.660622
+#> iter 7 value 770.079535
+#> iter 8 value 770.040349
+#> iter 9 value 770.040211
+#> iter 10 value 770.039934
+#> iter 10 value 770.039934
+#> iter 11 value 770.039920
+#> iter 12 value 770.039869
+#> iter 12 value 770.039869
+#> iter 12 value 770.039864
+#> final value 770.039864
+#> converged
+#> This is Run number 133
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.8296372 6.78312244 -3.1796372 -5.416878 1
+#> 2 1 -6.20 -3.90 1.3798955 1.40186349 -4.8201045 -2.498137 2
+#> 3 1 -14.20 -5.80 -0.1950692 0.04042476 -14.3950692 -5.759575 2
+#> 4 1 -2.10 -13.20 2.9033421 1.47087436 0.8033421 -11.729126 1
+#> 5 1 -1.70 -4.30 1.1291111 0.30111061 -0.5708889 -3.998889 1
+#> 6 1 -6.90 -1.55 0.5369565 -0.15209997 -6.3630435 -1.702100 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5680 -41450 8950
+#> initial value 998.131940
+#> iter 2 value 769.549423
+#> iter 3 value 764.266537
+#> iter 4 value 763.046060
+#> iter 5 value 724.028308
+#> iter 6 value 714.649269
+#> iter 7 value 713.202737
+#> iter 8 value 713.170499
+#> iter 9 value 713.170160
+#> iter 10 value 713.169964
+#> iter 11 value 713.169819
+#> iter 12 value 713.169790
+#> iter 12 value 713.169790
+#> iter 12 value 713.169790
+#> final value 713.169790
+#> converged
+#> This is Run number 134
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.9047207 1.4634517 -1.4452793 -10.736548 1
+#> 2 1 -6.20 -3.90 0.5698449 -0.2955863 -5.6301551 -4.195586 2
+#> 3 1 -14.20 -5.80 -0.9076158 -0.2627875 -15.1076158 -6.062787 2
+#> 4 1 -2.10 -13.20 1.6993564 1.0076115 -0.4006436 -12.192388 1
+#> 5 1 -1.70 -4.30 -0.2463560 -0.7759151 -1.9463560 -5.075915 1
+#> 6 1 -6.90 -1.55 2.2631300 -0.1042252 -4.6368700 -1.654225 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -37125 8625
+#> initial value 998.131940
+#> iter 2 value 837.048821
+#> iter 3 value 836.745326
+#> iter 4 value 833.840122
+#> iter 5 value 779.375516
+#> iter 6 value 770.062500
+#> iter 7 value 768.496760
+#> iter 8 value 768.474441
+#> iter 9 value 768.474361
+#> iter 10 value 768.474109
+#> iter 10 value 768.474108
+#> iter 10 value 768.474102
+#> final value 768.474102
+#> converged
+#> This is Run number 135
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.00087328 -0.1231122 -1.3491267 -12.323112 1
+#> 2 1 -6.20 -3.90 0.17767438 0.1621301 -6.0223256 -3.737870 2
+#> 3 1 -14.20 -5.80 -0.05462735 0.9400620 -14.2546273 -4.859938 2
+#> 4 1 -2.10 -13.20 0.87181329 -0.9300294 -1.2281867 -14.130029 1
+#> 5 1 -1.70 -4.30 0.90455918 -0.6954916 -0.7954408 -4.995492 1
+#> 6 1 -6.90 -1.55 2.42433845 0.5299663 -4.4756615 -1.020034 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5020 -38125 7775
+#> initial value 998.131940
+#> iter 2 value 828.935460
+#> iter 3 value 827.879282
+#> iter 4 value 825.755609
+#> iter 5 value 776.766571
+#> iter 6 value 766.928224
+#> iter 7 value 765.450075
+#> iter 8 value 765.422453
+#> iter 9 value 765.422013
+#> iter 10 value 765.421851
+#> iter 11 value 765.421827
+#> iter 12 value 765.421719
+#> iter 12 value 765.421719
+#> iter 12 value 765.421719
+#> final value 765.421719
+#> converged
+#> This is Run number 136
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.6430989 -0.4755804 -3.993099 -12.675580 1
+#> 2 1 -6.20 -3.90 0.2748011 0.6350398 -5.925199 -3.264960 2
+#> 3 1 -14.20 -5.80 -0.1934580 0.9159575 -14.393458 -4.884043 2
+#> 4 1 -2.10 -13.20 0.4094289 -0.9723584 -1.690571 -14.172358 1
+#> 5 1 -1.70 -4.30 -1.0324143 0.9206890 -2.732414 -3.379311 1
+#> 6 1 -6.90 -1.55 0.4380969 0.4666273 -6.461903 -1.083373 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -38425 7975
+#> initial value 998.131940
+#> iter 2 value 823.315184
+#> iter 3 value 820.406064
+#> iter 4 value 816.879183
+#> iter 5 value 768.691853
+#> iter 6 value 758.880773
+#> iter 7 value 757.401071
+#> iter 8 value 757.376619
+#> iter 9 value 757.376431
+#> iter 10 value 757.376274
+#> iter 10 value 757.376274
+#> iter 11 value 757.376237
+#> iter 12 value 757.376144
+#> iter 12 value 757.376142
+#> iter 12 value 757.376137
+#> final value 757.376137
+#> converged
+#> This is Run number 137
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.9561977 0.5583094 -1.393802 -11.641691 1
+#> 2 1 -6.20 -3.90 -0.5205921 -1.2038903 -6.720592 -5.103890 2
+#> 3 1 -14.20 -5.80 -0.3548745 2.8513641 -14.554874 -2.948636 2
+#> 4 1 -2.10 -13.20 0.4397753 0.5957704 -1.660225 -12.604230 1
+#> 5 1 -1.70 -4.30 0.4915706 2.8890493 -1.208429 -1.410951 1
+#> 6 1 -6.90 -1.55 1.5699834 0.1340258 -5.330017 -1.415974 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -36800 8475
+#> initial value 998.131940
+#> iter 2 value 842.664165
+#> iter 3 value 827.938383
+#> iter 4 value 827.675112
+#> iter 5 value 787.477294
+#> iter 6 value 779.390695
+#> iter 7 value 778.392237
+#> iter 8 value 778.358841
+#> iter 9 value 778.358297
+#> iter 10 value 778.358098
+#> iter 11 value 778.357809
+#> iter 12 value 778.357634
+#> iter 12 value 778.357634
+#> iter 12 value 778.357634
+#> final value 778.357634
+#> converged
+#> This is Run number 138
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.70526404 0.4645009 -3.055264 -11.735499 1
+#> 2 1 -6.20 -3.90 3.25032451 0.8835938 -2.949675 -3.016406 1
+#> 3 1 -14.20 -5.80 -0.14790538 2.0205617 -14.347905 -3.779438 2
+#> 4 1 -2.10 -13.20 -0.46639417 -0.4347895 -2.566394 -13.634790 1
+#> 5 1 -1.70 -4.30 -0.06023598 2.6715640 -1.760236 -1.628436 2
+#> 6 1 -6.90 -1.55 -0.65016575 0.2658678 -7.550166 -1.284132 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3780 -35975 9000
+#> initial value 998.131940
+#> iter 2 value 849.012180
+#> iter 3 value 830.740112
+#> iter 4 value 828.998365
+#> iter 5 value 786.006982
+#> iter 6 value 778.506680
+#> iter 7 value 777.549484
+#> iter 8 value 777.512130
+#> iter 9 value 777.511511
+#> iter 10 value 777.511396
+#> iter 11 value 777.511282
+#> iter 12 value 777.511191
+#> iter 12 value 777.511191
+#> iter 12 value 777.511191
+#> final value 777.511191
+#> converged
+#> This is Run number 139
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.6179669 0.4138802 0.2679669 -11.7861198 1
+#> 2 1 -6.20 -3.90 0.5167349 0.5897659 -5.6832651 -3.3102341 2
+#> 3 1 -14.20 -5.80 0.9242489 0.2471655 -13.2757511 -5.5528345 2
+#> 4 1 -2.10 -13.20 -0.4122460 -0.8206181 -2.5122460 -14.0206181 1
+#> 5 1 -1.70 -4.30 -0.5957727 1.1843824 -2.2957727 -3.1156176 1
+#> 6 1 -6.90 -1.55 1.3258765 0.5762152 -5.5741235 -0.9737848 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -36975 9725
+#> initial value 998.131940
+#> iter 2 value 831.467443
+#> iter 3 value 812.173084
+#> iter 4 value 812.114170
+#> iter 5 value 773.622420
+#> iter 6 value 766.098383
+#> iter 7 value 765.473737
+#> iter 8 value 765.450868
+#> iter 9 value 765.450491
+#> iter 10 value 765.450399
+#> iter 11 value 765.450314
+#> iter 12 value 765.449597
+#> iter 12 value 765.449597
+#> iter 12 value 765.449597
+#> final value 765.449597
+#> converged
+#> This is Run number 140
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.9020177 0.6346227 -0.4479823 -11.56537732 1
+#> 2 1 -6.20 -3.90 0.5507520 -1.0641570 -5.6492480 -4.96415703 2
+#> 3 1 -14.20 -5.80 2.3930554 0.7945792 -11.8069446 -5.00542078 2
+#> 4 1 -2.10 -13.20 -0.8874251 1.9348575 -2.9874251 -11.26514254 1
+#> 5 1 -1.70 -4.30 -0.9854361 2.6974936 -2.6854361 -1.60250643 2
+#> 6 1 -6.90 -1.55 -0.6140004 1.6050605 -7.5140004 0.05506046 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4300 -34775 8050
+#> initial value 998.131940
+#> iter 2 value 870.164350
+#> iter 3 value 856.293449
+#> iter 4 value 855.545627
+#> iter 5 value 810.941549
+#> iter 6 value 803.629706
+#> iter 7 value 802.478291
+#> iter 8 value 802.447748
+#> iter 9 value 802.447341
+#> iter 10 value 802.447198
+#> iter 11 value 802.447014
+#> iter 12 value 802.446919
+#> iter 12 value 802.446919
+#> iter 12 value 802.446919
+#> final value 802.446919
+#> converged
+#> This is Run number 141
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.14278495 0.3770386 -3.492785 -11.8229614 1
+#> 2 1 -6.20 -3.90 0.27670620 0.1870049 -5.923294 -3.7129951 2
+#> 3 1 -14.20 -5.80 0.44130386 0.8183340 -13.758696 -4.9816660 2
+#> 4 1 -2.10 -13.20 -1.21620150 0.7979969 -3.316201 -12.4020031 1
+#> 5 1 -1.70 -4.30 0.03407753 -0.6738035 -1.665922 -4.9738035 1
+#> 6 1 -6.90 -1.55 -0.68220666 1.3679736 -7.582207 -0.1820264 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4920 -37500 8625
+#> initial value 998.131940
+#> iter 2 value 832.272898
+#> iter 3 value 816.808748
+#> iter 4 value 816.371791
+#> iter 5 value 777.391662
+#> iter 6 value 769.157645
+#> iter 7 value 768.182523
+#> iter 8 value 768.143212
+#> iter 9 value 768.142506
+#> iter 10 value 768.142431
+#> iter 11 value 768.142107
+#> iter 12 value 768.141761
+#> iter 12 value 768.141761
+#> iter 12 value 768.141761
+#> final value 768.141761
+#> converged
+#> This is Run number 142
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.50553038 0.4630404 -0.8444696 -11.73695960 1
+#> 2 1 -6.20 -3.90 1.66739524 -0.5079506 -4.5326048 -4.40795059 2
+#> 3 1 -14.20 -5.80 1.28493694 -0.6124031 -12.9150631 -6.41240310 2
+#> 4 1 -2.10 -13.20 -1.05449759 -0.5518868 -3.1544976 -13.75188683 1
+#> 5 1 -1.70 -4.30 -0.02537667 -0.3351633 -1.7253767 -4.63516330 1
+#> 6 1 -6.90 -1.55 -0.80031321 1.6022778 -7.7003132 0.05227783 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4000 -35400 8625
+#> initial value 998.131940
+#> iter 2 value 858.861888
+#> iter 3 value 842.487832
+#> iter 4 value 841.290578
+#> iter 5 value 797.668529
+#> iter 6 value 790.233658
+#> iter 7 value 789.222911
+#> iter 8 value 789.190067
+#> iter 9 value 789.189544
+#> iter 10 value 789.189402
+#> iter 11 value 789.189241
+#> iter 12 value 789.189138
+#> iter 12 value 789.189138
+#> iter 12 value 789.189138
+#> final value 789.189138
+#> converged
+#> This is Run number 143
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.6184714 -0.3382554 -2.968471 -12.538255 1
+#> 2 1 -6.20 -3.90 0.7646971 -0.1450559 -5.435303 -4.045056 2
+#> 3 1 -14.20 -5.80 0.3458026 3.0456260 -13.854197 -2.754374 2
+#> 4 1 -2.10 -13.20 2.2147020 0.2873064 0.114702 -12.912694 1
+#> 5 1 -1.70 -4.30 0.1519505 -1.0078894 -1.548049 -5.307889 1
+#> 6 1 -6.90 -1.55 1.6379028 -1.3691748 -5.262097 -2.919175 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4160 -38350 7825
+#> initial value 998.131940
+#> iter 2 value 824.913023
+#> iter 3 value 818.903891
+#> iter 4 value 812.780168
+#> iter 5 value 765.037637
+#> iter 6 value 755.237644
+#> iter 7 value 753.698102
+#> iter 8 value 753.673340
+#> iter 9 value 753.673307
+#> iter 10 value 753.673248
+#> iter 10 value 753.673247
+#> iter 10 value 753.673246
+#> final value 753.673246
+#> converged
+#> This is Run number 144
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.2182593 1.2888106 -1.131741 -10.911189 1
+#> 2 1 -6.20 -3.90 0.6360745 -0.3381205 -5.563925 -4.238121 2
+#> 3 1 -14.20 -5.80 0.1174086 1.2771071 -14.082591 -4.522893 2
+#> 4 1 -2.10 -13.20 0.2748342 1.0887117 -1.825166 -12.111288 1
+#> 5 1 -1.70 -4.30 -0.2984017 3.0752814 -1.998402 -1.224719 2
+#> 6 1 -6.90 -1.55 -0.3388118 -0.3731255 -7.238812 -1.923126 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -38300 7275
+#> initial value 998.131940
+#> iter 2 value 829.147149
+#> iter 3 value 824.935211
+#> iter 4 value 820.262398
+#> iter 5 value 773.221522
+#> iter 6 value 763.284370
+#> iter 7 value 761.778191
+#> iter 8 value 761.750796
+#> iter 9 value 761.750689
+#> iter 9 value 761.750681
+#> iter 9 value 761.750676
+#> final value 761.750676
+#> converged
+#> This is Run number 145
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.3268659 0.9699766 -1.0231341 -11.230023 1
+#> 2 1 -6.20 -3.90 1.1918663 -0.6035578 -5.0081337 -4.503558 2
+#> 3 1 -14.20 -5.80 1.3489218 -0.6402207 -12.8510782 -6.440221 2
+#> 4 1 -2.10 -13.20 -0.3665130 -1.2909765 -2.4665130 -14.490976 1
+#> 5 1 -1.70 -4.30 1.1160538 -0.4540840 -0.5839462 -4.754084 1
+#> 6 1 -6.90 -1.55 0.3425307 -0.3704554 -6.5574693 -1.920455 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4740 -38375 7575
+#> initial value 998.131940
+#> iter 2 value 826.440486
+#> iter 3 value 823.278824
+#> iter 4 value 819.469422
+#> iter 5 value 771.968843
+#> iter 6 value 762.071114
+#> iter 7 value 760.594723
+#> iter 8 value 760.568589
+#> iter 9 value 760.568336
+#> iter 10 value 760.568295
+#> iter 10 value 760.568293
+#> iter 11 value 760.568271
+#> iter 12 value 760.568201
+#> iter 12 value 760.568196
+#> iter 12 value 760.568191
+#> final value 760.568191
+#> converged
+#> This is Run number 146
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.5394223 -0.2071462 -2.889422 -12.407146 1
+#> 2 1 -6.20 -3.90 0.9522201 -0.4635620 -5.247780 -4.363562 2
+#> 3 1 -14.20 -5.80 -0.3490752 1.1948801 -14.549075 -4.605120 2
+#> 4 1 -2.10 -13.20 0.2681402 0.1396095 -1.831860 -13.060391 1
+#> 5 1 -1.70 -4.30 -0.7466344 -0.4892025 -2.446634 -4.789202 1
+#> 6 1 -6.90 -1.55 1.2767406 0.1893781 -5.623259 -1.360622 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5120 -38525 7700
+#> initial value 998.131940
+#> iter 2 value 823.650084
+#> iter 3 value 822.032440
+#> iter 4 value 819.787231
+#> iter 5 value 772.380340
+#> iter 6 value 762.424207
+#> iter 7 value 760.965158
+#> iter 8 value 760.937604
+#> iter 9 value 760.937142
+#> iter 10 value 760.937061
+#> iter 11 value 760.937050
+#> iter 12 value 760.936870
+#> iter 12 value 760.936870
+#> iter 12 value 760.936870
+#> final value 760.936870
+#> converged
+#> This is Run number 147
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.1194239 0.7065336 -2.469424 -11.4934664 1
+#> 2 1 -6.20 -3.90 0.5714252 3.0361653 -5.628575 -0.8638347 2
+#> 3 1 -14.20 -5.80 -1.6576921 4.7963905 -15.857692 -1.0036095 2
+#> 4 1 -2.10 -13.20 -0.1748776 -1.0945564 -2.274878 -14.2945564 1
+#> 5 1 -1.70 -4.30 -0.4038719 -1.2277812 -2.103872 -5.5277812 1
+#> 6 1 -6.90 -1.55 2.6436938 0.9061712 -4.256306 -0.6438288 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -36625 7850
+#> initial value 998.131940
+#> iter 2 value 848.593339
+#> iter 3 value 848.242790
+#> iter 4 value 845.142501
+#> iter 5 value 790.778112
+#> iter 6 value 781.507868
+#> iter 7 value 779.996119
+#> iter 8 value 779.971461
+#> iter 9 value 779.971194
+#> iter 10 value 779.971045
+#> iter 10 value 779.971037
+#> iter 11 value 779.971022
+#> iter 12 value 779.970995
+#> iter 12 value 779.970993
+#> iter 12 value 779.970993
+#> final value 779.970993
+#> converged
+#> This is Run number 148
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.4262273 -0.09221380 -1.9237727 -12.292214 1
+#> 2 1 -6.20 -3.90 -0.1090225 -0.02209498 -6.3090225 -3.922095 2
+#> 3 1 -14.20 -5.80 1.0906531 1.71616611 -13.1093469 -4.083834 2
+#> 4 1 -2.10 -13.20 1.9494685 -0.85593687 -0.1505315 -14.055937 1
+#> 5 1 -1.70 -4.30 1.9366725 -0.62195367 0.2366725 -4.921954 1
+#> 6 1 -6.90 -1.55 -1.2505745 -0.53042159 -8.1505745 -2.080422 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4460 -38175 8200
+#> initial value 998.131940
+#> iter 2 value 825.384956
+#> iter 3 value 822.398736
+#> iter 4 value 818.535317
+#> iter 5 value 769.011261
+#> iter 6 value 759.331659
+#> iter 7 value 757.820634
+#> iter 8 value 757.797106
+#> iter 8 value 757.797105
+#> final value 757.797105
+#> converged
+#> This is Run number 149
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.10483817 4.44348215 -2.245162 -7.7565178 1
+#> 2 1 -6.20 -3.90 -0.01301967 -1.39831999 -6.213020 -5.2983200 2
+#> 3 1 -14.20 -5.80 2.68002284 1.58479132 -11.519977 -4.2152087 2
+#> 4 1 -2.10 -13.20 -0.06636276 0.19714875 -2.166363 -13.0028512 1
+#> 5 1 -1.70 -4.30 -0.89227643 -0.02349833 -2.592276 -4.3234983 1
+#> 6 1 -6.90 -1.55 -1.01066435 1.12761058 -7.910664 -0.4223894 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -36950 8325
+#> initial value 998.131940
+#> iter 2 value 841.550310
+#> iter 3 value 826.572962
+#> iter 4 value 825.513733
+#> iter 5 value 784.645025
+#> iter 6 value 776.519908
+#> iter 7 value 775.353038
+#> iter 8 value 775.307357
+#> iter 9 value 775.306530
+#> iter 10 value 775.306348
+#> iter 11 value 775.306139
+#> iter 12 value 775.305984
+#> iter 12 value 775.305984
+#> iter 12 value 775.305984
+#> final value 775.305984
+#> converged
+#> This is Run number 150
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.5189499 1.177245 -2.868950 -11.022755 1
+#> 2 1 -6.20 -3.90 -0.5969797 0.681197 -6.796980 -3.218803 2
+#> 3 1 -14.20 -5.80 0.5800566 -1.161793 -13.619943 -6.961793 2
+#> 4 1 -2.10 -13.20 -0.6853525 1.421181 -2.785353 -11.778819 1
+#> 5 1 -1.70 -4.30 -0.9593668 1.158412 -2.659367 -3.141588 1
+#> 6 1 -6.90 -1.55 -0.5064684 -0.152482 -7.406468 -1.702482 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -35875 7000
+#> initial value 998.131940
+#> iter 2 value 863.145124
+#> iter 3 value 852.175156
+#> iter 4 value 850.713457
+#> iter 5 value 806.541348
+#> iter 6 value 798.635861
+#> iter 7 value 796.812716
+#> iter 8 value 796.750468
+#> iter 9 value 796.749589
+#> iter 10 value 796.749439
+#> iter 11 value 796.749247
+#> iter 12 value 796.749130
+#> iter 12 value 796.749130
+#> iter 12 value 796.749130
+#> final value 796.749130
+#> converged
+#> This is Run number 151
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.7441344 0.20432689 -3.0941344 -11.995673 1
+#> 2 1 -6.20 -3.90 -0.5318303 -0.24182888 -6.7318303 -4.141829 2
+#> 3 1 -14.20 -5.80 -0.7929602 -0.59529334 -14.9929602 -6.395293 2
+#> 4 1 -2.10 -13.20 -0.3592985 0.01398475 -2.4592985 -13.186015 1
+#> 5 1 -1.70 -4.30 1.9341122 -1.09345624 0.2341122 -5.393456 1
+#> 6 1 -6.90 -1.55 0.7748980 0.07166224 -6.1251020 -1.478338 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4060 -36350 8100
+#> initial value 998.131940
+#> iter 2 value 850.414803
+#> iter 3 value 850.145300
+#> iter 4 value 846.644174
+#> iter 5 value 790.728724
+#> iter 6 value 781.616661
+#> iter 7 value 780.083904
+#> iter 8 value 780.061170
+#> iter 9 value 780.060932
+#> iter 10 value 780.060902
+#> iter 10 value 780.060895
+#> iter 11 value 780.060882
+#> iter 12 value 780.060851
+#> iter 12 value 780.060846
+#> iter 13 value 780.060826
+#> iter 13 value 780.060825
+#> iter 13 value 780.060825
+#> final value 780.060825
+#> converged
+#> This is Run number 152
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.93230329 1.3069402 -1.417697 -10.893060 1
+#> 2 1 -6.20 -3.90 0.07570483 2.2447643 -6.124295 -1.655236 2
+#> 3 1 -14.20 -5.80 -0.79042720 0.4042427 -14.990427 -5.395757 2
+#> 4 1 -2.10 -13.20 1.27540399 0.4691054 -0.824596 -12.730895 1
+#> 5 1 -1.70 -4.30 0.06185483 0.1486429 -1.638145 -4.151357 1
+#> 6 1 -6.90 -1.55 0.47701449 0.3032351 -6.422986 -1.246765 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -37325 7250
+#> initial value 998.131940
+#> iter 2 value 842.895373
+#> iter 3 value 840.877081
+#> iter 4 value 837.322036
+#> iter 5 value 786.775051
+#> iter 6 value 777.144147
+#> iter 7 value 775.623138
+#> iter 8 value 775.595142
+#> iter 9 value 775.595084
+#> iter 10 value 775.594883
+#> iter 10 value 775.594883
+#> iter 11 value 775.594856
+#> iter 12 value 775.594824
+#> iter 12 value 775.594822
+#> iter 12 value 775.594819
+#> final value 775.594819
+#> converged
+#> This is Run number 153
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.1118740 0.04302934 -0.2381260 -12.1569707 1
+#> 2 1 -6.20 -3.90 0.1858324 2.25471676 -6.0141676 -1.6452832 2
+#> 3 1 -14.20 -5.80 0.4138544 0.93022643 -13.7861456 -4.8697736 2
+#> 4 1 -2.10 -13.20 0.4979159 -0.82537069 -1.6020841 -14.0253707 1
+#> 5 1 -1.70 -4.30 1.0204545 0.00400891 -0.6795455 -4.2959911 1
+#> 6 1 -6.90 -1.55 0.3199941 2.37460107 -6.5800059 0.8246011 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -38075 8275
+#> initial value 998.131940
+#> iter 2 value 826.458819
+#> iter 3 value 824.873127
+#> iter 4 value 822.184859
+#> iter 5 value 771.984770
+#> iter 6 value 762.308981
+#> iter 7 value 760.804265
+#> iter 8 value 760.780355
+#> iter 9 value 760.780203
+#> iter 10 value 760.779923
+#> iter 10 value 760.779913
+#> iter 11 value 760.779876
+#> iter 12 value 760.779818
+#> iter 13 value 760.779800
+#> iter 14 value 760.779787
+#> iter 14 value 760.779786
+#> iter 14 value 760.779786
+#> final value 760.779786
+#> converged
+#> This is Run number 154
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.1735392 0.2238088 -2.523539 -11.9761912 1
+#> 2 1 -6.20 -3.90 1.5232323 -0.6347377 -4.676768 -4.5347377 2
+#> 3 1 -14.20 -5.80 -0.3944713 1.7222367 -14.594471 -4.0777633 2
+#> 4 1 -2.10 -13.20 0.1301620 0.9069740 -1.969838 -12.2930260 1
+#> 5 1 -1.70 -4.30 -0.6919609 -0.6884563 -2.391961 -4.9884563 1
+#> 6 1 -6.90 -1.55 1.9993664 0.9811121 -4.900634 -0.5688879 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3620 -35750 7675
+#> initial value 998.131940
+#> iter 2 value 860.011147
+#> iter 3 value 857.760542
+#> iter 4 value 852.940924
+#> iter 5 value 795.938604
+#> iter 6 value 786.987105
+#> iter 7 value 785.431473
+#> iter 8 value 785.409650
+#> iter 9 value 785.409582
+#> iter 10 value 785.409569
+#> iter 10 value 785.409568
+#> iter 11 value 785.409551
+#> iter 11 value 785.409545
+#> iter 11 value 785.409545
+#> final value 785.409545
+#> converged
+#> This is Run number 155
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.05910728 0.1062182 -2.2908927 -12.093782 1
+#> 2 1 -6.20 -3.90 0.77823749 2.7720667 -5.4217625 -1.127933 2
+#> 3 1 -14.20 -5.80 -0.38819841 0.4615471 -14.5881984 -5.338453 2
+#> 4 1 -2.10 -13.20 2.47880267 0.6437724 0.3788027 -12.556228 1
+#> 5 1 -1.70 -4.30 -0.06780830 0.7259937 -1.7678083 -3.574006 1
+#> 6 1 -6.90 -1.55 0.54705140 -1.5298314 -6.3529486 -3.079831 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -36775 7775
+#> initial value 998.131940
+#> iter 2 value 847.206680
+#> iter 3 value 833.610987
+#> iter 4 value 831.869614
+#> iter 5 value 789.752415
+#> iter 6 value 781.566132
+#> iter 7 value 780.083773
+#> iter 8 value 780.026007
+#> iter 9 value 780.025059
+#> iter 10 value 780.024918
+#> iter 11 value 780.024785
+#> iter 12 value 780.024675
+#> iter 12 value 780.024675
+#> iter 12 value 780.024675
+#> final value 780.024675
+#> converged
+#> This is Run number 156
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.3987670 1.1128905 0.0487670 -11.0871095 1
+#> 2 1 -6.20 -3.90 1.3249180 3.2559825 -4.8750820 -0.6440175 2
+#> 3 1 -14.20 -5.80 0.7266445 0.6275957 -13.4733555 -5.1724043 2
+#> 4 1 -2.10 -13.20 1.8858861 -0.5076787 -0.2141139 -13.7076787 1
+#> 5 1 -1.70 -4.30 -1.1072024 0.9881830 -2.8072024 -3.3118170 1
+#> 6 1 -6.90 -1.55 -0.1339105 -0.6612467 -7.0339105 -2.2112467 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4220 -36800 9400
+#> initial value 998.131940
+#> iter 2 value 835.966053
+#> iter 3 value 817.010710
+#> iter 4 value 816.221308
+#> iter 5 value 775.992142
+#> iter 6 value 768.374918
+#> iter 7 value 767.590411
+#> iter 8 value 767.556999
+#> iter 9 value 767.556480
+#> iter 10 value 767.556233
+#> iter 11 value 767.555952
+#> iter 12 value 767.555864
+#> iter 12 value 767.555864
+#> iter 12 value 767.555864
+#> final value 767.555864
+#> converged
+#> This is Run number 157
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.00133360 0.7250452 -3.351334 -11.474955 1
+#> 2 1 -6.20 -3.90 1.32483969 -0.5722736 -4.875160 -4.472274 2
+#> 3 1 -14.20 -5.80 3.76193506 -0.6517790 -10.438065 -6.451779 2
+#> 4 1 -2.10 -13.20 -0.40508367 -1.0466148 -2.505084 -14.246615 1
+#> 5 1 -1.70 -4.30 -0.08607824 -0.2089949 -1.786078 -4.508995 1
+#> 6 1 -6.90 -1.55 1.21400011 -0.6583055 -5.686000 -2.208306 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -37575 7725
+#> initial value 998.131940
+#> iter 2 value 836.865202
+#> iter 3 value 836.081766
+#> iter 4 value 833.630529
+#> iter 5 value 782.827732
+#> iter 6 value 773.164587
+#> iter 7 value 771.669999
+#> iter 8 value 771.642610
+#> iter 9 value 771.642277
+#> iter 10 value 771.642056
+#> iter 11 value 771.642041
+#> iter 12 value 771.641958
+#> iter 12 value 771.641958
+#> iter 12 value 771.641958
+#> final value 771.641958
+#> converged
+#> This is Run number 158
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.2262026 -1.15549088 -2.1237974 -13.3554909 1
+#> 2 1 -6.20 -3.90 1.0801639 -0.08596342 -5.1198361 -3.9859634 2
+#> 3 1 -14.20 -5.80 -0.4135929 0.05136822 -14.6135929 -5.7486318 2
+#> 4 1 -2.10 -13.20 2.3278307 0.24184901 0.2278307 -12.9581510 1
+#> 5 1 -1.70 -4.30 -1.0083953 -1.01760029 -2.7083953 -5.3176003 1
+#> 6 1 -6.90 -1.55 0.2789943 0.76871232 -6.6210057 -0.7812877 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -38100 9550
+#> initial value 998.131940
+#> iter 2 value 817.288632
+#> iter 3 value 817.012449
+#> iter 4 value 815.601064
+#> iter 5 value 762.577260
+#> iter 6 value 753.137092
+#> iter 7 value 751.537094
+#> iter 8 value 751.513401
+#> iter 9 value 751.513125
+#> iter 10 value 751.513059
+#> iter 10 value 751.513054
+#> iter 10 value 751.513054
+#> final value 751.513054
+#> converged
+#> This is Run number 159
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.07245271 1.25780196 -2.2775473 -10.942198 1
+#> 2 1 -6.20 -3.90 6.53503360 -0.71170499 0.3350336 -4.611705 1
+#> 3 1 -14.20 -5.80 0.31310655 1.49439987 -13.8868934 -4.305600 2
+#> 4 1 -2.10 -13.20 -0.24615156 0.46540807 -2.3461516 -12.734592 1
+#> 5 1 -1.70 -4.30 -0.74498466 0.43484514 -2.4449847 -3.865155 1
+#> 6 1 -6.90 -1.55 -0.35131285 0.07263078 -7.2513129 -1.477369 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4960 -38450 7325
+#> initial value 998.131940
+#> iter 2 value 826.857298
+#> iter 3 value 824.174968
+#> iter 4 value 820.838961
+#> iter 5 value 774.050432
+#> iter 6 value 764.064300
+#> iter 7 value 762.590604
+#> iter 8 value 762.562349
+#> iter 9 value 762.562099
+#> iter 10 value 762.561963
+#> iter 10 value 762.561961
+#> iter 11 value 762.561930
+#> iter 12 value 762.561918
+#> iter 12 value 762.561915
+#> iter 12 value 762.561914
+#> final value 762.561914
+#> converged
+#> This is Run number 160
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.04834075 1.09825245 -2.398341 -11.101748 1
+#> 2 1 -6.20 -3.90 -0.91037302 0.52440778 -7.110373 -3.375592 2
+#> 3 1 -14.20 -5.80 0.77242498 0.71300595 -13.427575 -5.086994 2
+#> 4 1 -2.10 -13.20 1.03378136 -0.12358753 -1.066219 -13.323588 1
+#> 5 1 -1.70 -4.30 -0.24506491 -0.06326804 -1.945065 -4.363268 1
+#> 6 1 -6.90 -1.55 -0.32490719 0.49525795 -7.224907 -1.054742 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -36375 9475
+#> initial value 998.131940
+#> iter 2 value 841.187094
+#> iter 3 value 823.031033
+#> iter 4 value 823.004025
+#> iter 5 value 783.427527
+#> iter 6 value 775.943641
+#> iter 7 value 775.306695
+#> iter 8 value 775.288096
+#> iter 9 value 775.287835
+#> iter 10 value 775.287654
+#> iter 11 value 775.287459
+#> iter 12 value 775.287233
+#> iter 12 value 775.287233
+#> iter 12 value 775.287233
+#> final value 775.287233
+#> converged
+#> This is Run number 161
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.62570058 -0.95140642 -3.975701 -13.1514064 1
+#> 2 1 -6.20 -3.90 0.15981822 1.63403047 -6.040182 -2.2659695 2
+#> 3 1 -14.20 -5.80 2.13912022 -0.35134300 -12.060880 -6.1513430 2
+#> 4 1 -2.10 -13.20 0.33524543 0.06297275 -1.764755 -13.1370272 1
+#> 5 1 -1.70 -4.30 0.68088243 -0.52887235 -1.019118 -4.8288724 1
+#> 6 1 -6.90 -1.55 0.09791027 1.04335937 -6.802090 -0.5066406 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -38000 7950
+#> initial value 998.131940
+#> iter 2 value 829.399207
+#> iter 3 value 826.310634
+#> iter 4 value 822.205419
+#> iter 5 value 772.611132
+#> iter 6 value 762.914154
+#> iter 7 value 761.407274
+#> iter 8 value 761.383080
+#> iter 9 value 761.382925
+#> iter 10 value 761.382877
+#> iter 10 value 761.382876
+#> iter 11 value 761.382818
+#> iter 12 value 761.382738
+#> iter 12 value 761.382734
+#> iter 12 value 761.382730
+#> final value 761.382730
+#> converged
+#> This is Run number 162
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.77560294 -0.24331461 -1.574397 -12.4433146 1
+#> 2 1 -6.20 -3.90 2.10168883 2.68390914 -4.098311 -1.2160909 2
+#> 3 1 -14.20 -5.80 0.39630188 0.57629627 -13.803698 -5.2237037 2
+#> 4 1 -2.10 -13.20 0.35223200 2.01269927 -1.747768 -11.1873007 1
+#> 5 1 -1.70 -4.30 -0.17545349 0.01336572 -1.875453 -4.2866343 1
+#> 6 1 -6.90 -1.55 -0.02831735 1.87836770 -6.928317 0.3283677 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -36425 7700
+#> initial value 998.131940
+#> iter 2 value 852.270784
+#> iter 3 value 839.310978
+#> iter 4 value 838.085084
+#> iter 5 value 795.670147
+#> iter 6 value 787.602968
+#> iter 7 value 786.141315
+#> iter 8 value 786.088920
+#> iter 9 value 786.088080
+#> iter 10 value 786.087905
+#> iter 11 value 786.087703
+#> iter 12 value 786.087566
+#> iter 12 value 786.087566
+#> iter 12 value 786.087566
+#> final value 786.087566
+#> converged
+#> This is Run number 163
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.4658568 0.03428582 -1.884143 -12.165714 1
+#> 2 1 -6.20 -3.90 0.2090581 0.28736439 -5.990942 -3.612636 2
+#> 3 1 -14.20 -5.80 0.9799107 -0.07213880 -13.220089 -5.872139 2
+#> 4 1 -2.10 -13.20 -1.1382323 -0.85766352 -3.238232 -14.057664 1
+#> 5 1 -1.70 -4.30 -0.6392738 1.42697422 -2.339274 -2.873026 1
+#> 6 1 -6.90 -1.55 0.9944834 -0.73961935 -5.905517 -2.289619 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -36675 7650
+#> initial value 998.131940
+#> iter 2 value 849.303845
+#> iter 3 value 836.277816
+#> iter 4 value 834.731881
+#> iter 5 value 792.523380
+#> iter 6 value 784.353274
+#> iter 7 value 782.826779
+#> iter 8 value 782.768907
+#> iter 9 value 782.767969
+#> iter 10 value 782.767814
+#> iter 11 value 782.767651
+#> iter 12 value 782.767529
+#> iter 12 value 782.767529
+#> iter 12 value 782.767529
+#> final value 782.767529
+#> converged
+#> This is Run number 164
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.46099091 1.5191108 -0.8890091 -10.680889 1
+#> 2 1 -6.20 -3.90 -0.75573702 0.8462783 -6.9557370 -3.053722 2
+#> 3 1 -14.20 -5.80 -0.02606664 -1.3521430 -14.2260666 -7.152143 2
+#> 4 1 -2.10 -13.20 0.27134613 1.0087575 -1.8286539 -12.191243 1
+#> 5 1 -1.70 -4.30 0.68906728 1.6275686 -1.0109327 -2.672431 1
+#> 6 1 -6.90 -1.55 0.83559305 -0.6068052 -6.0644070 -2.156805 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -36175 6825
+#> initial value 998.131940
+#> iter 2 value 860.283268
+#> iter 3 value 860.222741
+#> iter 4 value 857.676147
+#> iter 5 value 804.221875
+#> iter 6 value 795.035899
+#> iter 7 value 793.491370
+#> iter 8 value 793.461055
+#> iter 9 value 793.460956
+#> iter 10 value 793.460699
+#> iter 10 value 793.460698
+#> iter 10 value 793.460689
+#> final value 793.460689
+#> converged
+#> This is Run number 165
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.05544758 0.90023531 -2.405448 -11.299765 1
+#> 2 1 -6.20 -3.90 0.34159978 -0.03579532 -5.858400 -3.935795 2
+#> 3 1 -14.20 -5.80 1.78969943 2.84238334 -12.410301 -2.957617 2
+#> 4 1 -2.10 -13.20 -0.43402495 1.05847581 -2.534025 -12.141524 1
+#> 5 1 -1.70 -4.30 -0.28117573 1.13873339 -1.981176 -3.161267 1
+#> 6 1 -6.90 -1.55 0.20266586 2.54737801 -6.697334 0.997378 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -37625 8275
+#> initial value 998.131940
+#> iter 2 value 832.826218
+#> iter 3 value 818.248671
+#> iter 4 value 817.378550
+#> iter 5 value 778.052578
+#> iter 6 value 769.682770
+#> iter 7 value 768.514288
+#> iter 8 value 768.464975
+#> iter 9 value 768.464037
+#> iter 10 value 768.463839
+#> iter 11 value 768.463596
+#> iter 12 value 768.463410
+#> iter 12 value 768.463410
+#> iter 12 value 768.463410
+#> final value 768.463410
+#> converged
+#> This is Run number 166
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.7776858 0.8099890 -1.5723142 -11.3900110 1
+#> 2 1 -6.20 -3.90 0.3999548 -0.9552364 -5.8000452 -4.8552364 2
+#> 3 1 -14.20 -5.80 0.7580449 -0.1308905 -13.4419551 -5.9308905 2
+#> 4 1 -2.10 -13.20 -0.7311184 -0.3087209 -2.8311184 -13.5087209 1
+#> 5 1 -1.70 -4.30 1.4562281 -0.5703175 -0.2437719 -4.8703175 1
+#> 6 1 -6.90 -1.55 0.6944846 2.3402125 -6.2055154 0.7902125 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -36650 8925
+#> initial value 998.131940
+#> iter 2 value 841.568653
+#> iter 3 value 825.222170
+#> iter 4 value 825.019163
+#> iter 5 value 784.996709
+#> iter 6 value 777.125917
+#> iter 7 value 776.293740
+#> iter 8 value 776.266142
+#> iter 9 value 776.265725
+#> iter 10 value 776.265536
+#> iter 11 value 776.265230
+#> iter 12 value 776.265061
+#> iter 12 value 776.265061
+#> iter 12 value 776.265061
+#> final value 776.265061
+#> converged
+#> This is Run number 167
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.939917085 -1.0941903 -0.4100829 -13.294190 1
+#> 2 1 -6.20 -3.90 -0.004153738 -0.4760562 -6.2041537 -4.376056 2
+#> 3 1 -14.20 -5.80 -0.306372397 -0.4595375 -14.5063724 -6.259537 2
+#> 4 1 -2.10 -13.20 0.311642415 0.8998304 -1.7883576 -12.300170 1
+#> 5 1 -1.70 -4.30 3.667338481 -0.6083225 1.9673385 -4.908323 1
+#> 6 1 -6.90 -1.55 0.399763929 -0.9084288 -6.5002361 -2.458429 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -36050 8400
+#> initial value 998.131940
+#> iter 2 value 852.511553
+#> iter 3 value 837.031597
+#> iter 4 value 835.811302
+#> iter 5 value 793.109986
+#> iter 6 value 785.345863
+#> iter 7 value 784.218046
+#> iter 8 value 784.178325
+#> iter 9 value 784.177660
+#> iter 10 value 784.177502
+#> iter 11 value 784.177325
+#> iter 12 value 784.177203
+#> iter 12 value 784.177203
+#> iter 12 value 784.177203
+#> final value 784.177203
+#> converged
+#> This is Run number 168
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.13489919 -0.1617607 -3.484899 -12.361761 1
+#> 2 1 -6.20 -3.90 -0.05938760 -0.3220271 -6.259388 -4.222027 2
+#> 3 1 -14.20 -5.80 -0.25749115 1.6901085 -14.457491 -4.109892 2
+#> 4 1 -2.10 -13.20 -0.02934026 -0.8166961 -2.129340 -14.016696 1
+#> 5 1 -1.70 -4.30 0.35891212 1.1022053 -1.341088 -3.197795 1
+#> 6 1 -6.90 -1.55 -0.10608457 0.4859946 -7.006085 -1.064005 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -37450 8450
+#> initial value 998.131940
+#> iter 2 value 834.030839
+#> iter 3 value 818.601230
+#> iter 4 value 817.505831
+#> iter 5 value 777.677613
+#> iter 6 value 769.436868
+#> iter 7 value 768.313057
+#> iter 8 value 768.264945
+#> iter 9 value 768.264038
+#> iter 9 value 768.264029
+#> iter 9 value 768.264029
+#> final value 768.264029
+#> converged
+#> This is Run number 169
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.9788143 -0.1222818 -0.37118567 -12.322282 1
+#> 2 1 -6.20 -3.90 -0.3023161 0.9877446 -6.50231614 -2.912255 2
+#> 3 1 -14.20 -5.80 1.6537913 1.6657509 -12.54620872 -4.134249 2
+#> 4 1 -2.10 -13.20 0.2979186 -0.6104767 -1.80208135 -13.810477 1
+#> 5 1 -1.70 -4.30 1.6491352 1.6853161 -0.05086477 -2.614684 1
+#> 6 1 -6.90 -1.55 -0.3466209 -0.5101114 -7.24662091 -2.060111 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4140 -37975 8475
+#> initial value 998.131940
+#> iter 2 value 826.209935
+#> iter 3 value 822.577559
+#> iter 4 value 817.875281
+#> iter 5 value 767.155698
+#> iter 6 value 757.619861
+#> iter 7 value 756.055431
+#> iter 8 value 756.032385
+#> iter 9 value 756.032317
+#> iter 10 value 756.032152
+#> iter 10 value 756.032151
+#> iter 10 value 756.032143
+#> final value 756.032143
+#> converged
+#> This is Run number 170
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.6861257 -0.84086393 -3.0361257 -13.0408639 1
+#> 2 1 -6.20 -3.90 0.4514751 0.89329369 -5.7485249 -3.0067063 2
+#> 3 1 -14.20 -5.80 4.8634277 0.83321694 -9.3365723 -4.9667831 2
+#> 4 1 -2.10 -13.20 0.7963973 4.99479430 -1.3036027 -8.2052057 1
+#> 5 1 -1.70 -4.30 1.2577927 -0.03179632 -0.4422073 -4.3317963 1
+#> 6 1 -6.90 -1.55 0.3741752 1.23324209 -6.5258248 -0.3167579 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3720 -36025 9575
+#> initial value 998.131940
+#> iter 2 value 844.212034
+#> iter 3 value 823.946802
+#> iter 4 value 822.629849
+#> iter 5 value 780.643524
+#> iter 6 value 773.392776
+#> iter 7 value 772.626774
+#> iter 8 value 772.595163
+#> iter 9 value 772.594680
+#> iter 10 value 772.594564
+#> iter 11 value 772.594388
+#> iter 12 value 772.594276
+#> iter 12 value 772.594276
+#> iter 12 value 772.594276
+#> final value 772.594276
+#> converged
+#> This is Run number 171
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.93661084 -0.331523671 -3.286611 -12.531524 1
+#> 2 1 -6.20 -3.90 0.70447879 1.155413137 -5.495521 -2.744587 2
+#> 3 1 -14.20 -5.80 -0.05061111 1.164067168 -14.250611 -4.635933 2
+#> 4 1 -2.10 -13.20 0.60962760 0.005428405 -1.490372 -13.194572 1
+#> 5 1 -1.70 -4.30 -0.27278732 -0.788093784 -1.972787 -5.088094 1
+#> 6 1 -6.90 -1.55 -1.17828334 -0.218385682 -8.078283 -1.768386 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5280 -37675 8000
+#> initial value 998.131940
+#> iter 2 value 833.885899
+#> iter 3 value 820.761465
+#> iter 4 value 820.383048
+#> iter 5 value 781.518469
+#> iter 6 value 773.011937
+#> iter 7 value 771.794277
+#> iter 8 value 771.747127
+#> iter 9 value 771.746276
+#> iter 10 value 771.746042
+#> iter 11 value 771.745729
+#> iter 12 value 771.745510
+#> iter 12 value 771.745510
+#> iter 12 value 771.745510
+#> final value 771.745510
+#> converged
+#> This is Run number 172
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.58825862 0.2634678 -1.761741 -11.9365322 1
+#> 2 1 -6.20 -3.90 -0.08682885 0.8447727 -6.286829 -3.0552273 2
+#> 3 1 -14.20 -5.80 -1.43756368 0.6035796 -15.637564 -5.1964204 2
+#> 4 1 -2.10 -13.20 0.47054629 0.9685211 -1.629454 -12.2314789 1
+#> 5 1 -1.70 -4.30 0.59220511 0.4745151 -1.107795 -3.8254849 1
+#> 6 1 -6.90 -1.55 -1.04093013 2.1323456 -7.940930 0.5823456 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5360 -36950 6875
+#> initial value 998.131940
+#> iter 2 value 850.090872
+#> iter 3 value 840.154317
+#> iter 4 value 839.347687
+#> iter 5 value 798.006356
+#> iter 6 value 789.686224
+#> iter 7 value 787.769678
+#> iter 8 value 787.699927
+#> iter 9 value 787.698872
+#> iter 10 value 787.698654
+#> iter 11 value 787.698357
+#> iter 12 value 787.698175
+#> iter 12 value 787.698175
+#> iter 12 value 787.698175
+#> final value 787.698175
+#> converged
+#> This is Run number 173
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.9206062 0.5515899 -3.270606 -11.64841009 1
+#> 2 1 -6.20 -3.90 1.2348756 0.6052025 -4.965124 -3.29479751 2
+#> 3 1 -14.20 -5.80 1.9552070 -0.8856825 -12.244793 -6.68568253 2
+#> 4 1 -2.10 -13.20 0.2347557 -0.2385170 -1.865244 -13.43851703 1
+#> 5 1 -1.70 -4.30 -1.0558044 -0.3108100 -2.755804 -4.61080998 1
+#> 6 1 -6.90 -1.55 -1.0028322 1.5217008 -7.902832 -0.02829924 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5020 -38050 7350
+#> initial value 998.131940
+#> iter 2 value 832.453767
+#> iter 3 value 830.939458
+#> iter 4 value 828.322091
+#> iter 5 value 779.993576
+#> iter 6 value 770.110888
+#> iter 7 value 768.623034
+#> iter 8 value 768.593458
+#> iter 9 value 768.593283
+#> iter 10 value 768.592988
+#> iter 10 value 768.592987
+#> iter 11 value 768.592927
+#> iter 12 value 768.592891
+#> iter 13 value 768.592879
+#> iter 14 value 768.592856
+#> iter 14 value 768.592856
+#> iter 14 value 768.592856
+#> final value 768.592856
+#> converged
+#> This is Run number 174
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.31580171 -0.72081287 -2.034198 -12.9208129 1
+#> 2 1 -6.20 -3.90 -0.58567863 1.52167889 -6.785679 -2.3783211 2
+#> 3 1 -14.20 -5.80 0.84321203 0.02168525 -13.356788 -5.7783147 2
+#> 4 1 -2.10 -13.20 3.11523382 0.33440204 1.015234 -12.8655980 1
+#> 5 1 -1.70 -4.30 0.08362867 3.60342171 -1.616371 -0.6965783 2
+#> 6 1 -6.90 -1.55 0.47564486 0.33304922 -6.424355 -1.2169508 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -37575 8725
+#> initial value 998.131940
+#> iter 2 value 830.380121
+#> iter 3 value 829.786317
+#> iter 4 value 827.259114
+#> iter 5 value 774.194290
+#> iter 6 value 764.752744
+#> iter 7 value 763.192569
+#> iter 8 value 763.170181
+#> iter 9 value 763.170080
+#> iter 10 value 763.169808
+#> iter 10 value 763.169807
+#> iter 10 value 763.169807
+#> final value 763.169807
+#> converged
+#> This is Run number 175
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.2057203 -0.37101673 -2.555720 -12.571017 1
+#> 2 1 -6.20 -3.90 -0.7037336 2.16597378 -6.903734 -1.734026 2
+#> 3 1 -14.20 -5.80 -1.4669198 0.06653863 -15.666920 -5.733461 2
+#> 4 1 -2.10 -13.20 -0.3386193 2.53126816 -2.438619 -10.668732 1
+#> 5 1 -1.70 -4.30 -0.3077345 1.49366648 -2.007735 -2.806334 1
+#> 6 1 -6.90 -1.55 1.1779748 0.49418469 -5.722025 -1.055815 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -38575 9450
+#> initial value 998.131940
+#> iter 2 value 811.076372
+#> iter 3 value 808.619565
+#> iter 4 value 805.942068
+#> iter 5 value 755.033141
+#> iter 6 value 745.609529
+#> iter 7 value 744.000142
+#> iter 8 value 743.974006
+#> iter 9 value 743.973756
+#> iter 10 value 743.973692
+#> iter 11 value 743.973675
+#> iter 12 value 743.973655
+#> iter 12 value 743.973655
+#> iter 12 value 743.973655
+#> final value 743.973655
+#> converged
+#> This is Run number 176
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.63452224 -0.8517979 -3.9845222 -13.051798 1
+#> 2 1 -6.20 -3.90 1.87490392 -0.0494601 -4.3250961 -3.949460 2
+#> 3 1 -14.20 -5.80 -1.69163911 0.7474401 -15.8916391 -5.052560 2
+#> 4 1 -2.10 -13.20 1.84405192 0.0743271 -0.2559481 -13.125673 1
+#> 5 1 -1.70 -4.30 2.51273872 0.9882329 0.8127387 -3.311767 1
+#> 6 1 -6.90 -1.55 0.06521507 -0.1720708 -6.8347849 -1.722071 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4720 -37775 8325
+#> initial value 998.131940
+#> iter 2 value 830.374553
+#> iter 3 value 829.746528
+#> iter 4 value 827.574347
+#> iter 5 value 776.145726
+#> iter 6 value 766.536157
+#> iter 7 value 765.021150
+#> iter 8 value 764.996986
+#> iter 9 value 764.996758
+#> iter 10 value 764.996696
+#> iter 11 value 764.996664
+#> iter 12 value 764.996385
+#> iter 12 value 764.996385
+#> iter 12 value 764.996385
+#> final value 764.996385
+#> converged
+#> This is Run number 177
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.05006067 1.5208829 -3.4000607 -10.6791171 1
+#> 2 1 -6.20 -3.90 0.89231913 -0.4880213 -5.3076809 -4.3880213 2
+#> 3 1 -14.20 -5.80 -0.42755825 -0.3715286 -14.6275583 -6.1715286 2
+#> 4 1 -2.10 -13.20 2.90936966 -0.6090787 0.8093697 -13.8090787 1
+#> 5 1 -1.70 -4.30 0.02520851 0.9905541 -1.6747915 -3.3094459 1
+#> 6 1 -6.90 -1.55 1.62931341 0.5834068 -5.2706866 -0.9665932 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5360 -37050 6900
+#> initial value 998.131940
+#> iter 2 value 848.632099
+#> iter 3 value 838.602422
+#> iter 4 value 837.764325
+#> iter 5 value 796.637711
+#> iter 6 value 788.278837
+#> iter 7 value 786.370338
+#> iter 8 value 786.299729
+#> iter 9 value 786.298645
+#> iter 10 value 786.298428
+#> iter 11 value 786.298136
+#> iter 12 value 786.297954
+#> iter 12 value 786.297954
+#> iter 12 value 786.297954
+#> final value 786.297954
+#> converged
+#> This is Run number 178
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.0205178 0.309119889 -2.3294822 -11.890880 1
+#> 2 1 -6.20 -3.90 0.7275786 0.247493146 -5.4724214 -3.652507 2
+#> 3 1 -14.20 -5.80 2.9028207 -0.372665195 -11.2971793 -6.172665 2
+#> 4 1 -2.10 -13.20 0.8439077 0.005098387 -1.2560923 -13.194902 1
+#> 5 1 -1.70 -4.30 0.8934374 0.012849077 -0.8065626 -4.287151 1
+#> 6 1 -6.90 -1.55 3.5402764 0.277238680 -3.3597236 -1.272761 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4340 -35975 7625
+#> initial value 998.131940
+#> iter 2 value 858.240605
+#> iter 3 value 845.017418
+#> iter 4 value 843.251390
+#> iter 5 value 799.335006
+#> iter 6 value 791.430582
+#> iter 7 value 789.909346
+#> iter 8 value 789.855397
+#> iter 9 value 789.854595
+#> iter 10 value 789.854467
+#> iter 11 value 789.854333
+#> iter 12 value 789.854236
+#> iter 12 value 789.854236
+#> iter 12 value 789.854236
+#> final value 789.854236
+#> converged
+#> This is Run number 179
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.0108671 1.2059996 -1.339133 -10.994000 1
+#> 2 1 -6.20 -3.90 -0.4672756 1.2711213 -6.667276 -2.628879 2
+#> 3 1 -14.20 -5.80 1.0861191 2.6018875 -13.113881 -3.198113 2
+#> 4 1 -2.10 -13.20 0.7718259 0.6066224 -1.328174 -12.593378 1
+#> 5 1 -1.70 -4.30 0.2388730 0.9929998 -1.461127 -3.307000 1
+#> 6 1 -6.90 -1.55 0.6694543 -0.7740096 -6.230546 -2.324010 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -36075 7675
+#> initial value 998.131940
+#> iter 2 value 856.805601
+#> iter 3 value 843.785573
+#> iter 4 value 842.434793
+#> iter 5 value 799.180296
+#> iter 6 value 791.250193
+#> iter 7 value 789.782356
+#> iter 8 value 789.731418
+#> iter 9 value 789.730633
+#> iter 10 value 789.730472
+#> iter 11 value 789.730286
+#> iter 12 value 789.730164
+#> iter 12 value 789.730164
+#> iter 12 value 789.730164
+#> final value 789.730164
+#> converged
+#> This is Run number 180
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.0787446 0.1354055 -3.428745 -12.064595 1
+#> 2 1 -6.20 -3.90 4.5782060 -0.4589881 -1.621794 -4.358988 1
+#> 3 1 -14.20 -5.80 0.6672760 2.7674734 -13.532724 -3.032527 2
+#> 4 1 -2.10 -13.20 -0.7290240 -0.6589795 -2.829024 -13.858979 1
+#> 5 1 -1.70 -4.30 0.3648897 2.7558566 -1.335110 -1.544143 1
+#> 6 1 -6.90 -1.55 1.0087148 3.3770423 -5.891285 1.827042 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4920 -37700 8075
+#> initial value 998.131940
+#> iter 2 value 833.055161
+#> iter 3 value 832.955650
+#> iter 4 value 831.234290
+#> iter 5 value 780.096998
+#> iter 6 value 770.426743
+#> iter 7 value 768.923747
+#> iter 8 value 768.897291
+#> iter 9 value 768.896848
+#> iter 10 value 768.896682
+#> iter 10 value 768.896681
+#> iter 11 value 768.896608
+#> iter 11 value 768.896605
+#> iter 12 value 768.896587
+#> iter 12 value 768.896578
+#> iter 12 value 768.896578
+#> final value 768.896578
+#> converged
+#> This is Run number 181
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.14977813 0.7883694 0.7997781 -11.411631 1
+#> 2 1 -6.20 -3.90 0.06542119 0.2664515 -6.1345788 -3.633549 2
+#> 3 1 -14.20 -5.80 0.09965880 -1.2535819 -14.1003412 -7.053582 2
+#> 4 1 -2.10 -13.20 -1.16945727 0.6735650 -3.2694573 -12.526435 1
+#> 5 1 -1.70 -4.30 -0.63616565 2.1841320 -2.3361657 -2.115868 2
+#> 6 1 -6.90 -1.55 -0.53983719 -0.8806205 -7.4398372 -2.430621 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -37600 8400
+#> initial value 998.131940
+#> iter 2 value 832.265649
+#> iter 3 value 831.718739
+#> iter 4 value 829.365882
+#> iter 5 value 777.138459
+#> iter 6 value 767.606052
+#> iter 7 value 766.079205
+#> iter 8 value 766.055579
+#> iter 9 value 766.055428
+#> iter 10 value 766.055240
+#> iter 11 value 766.055212
+#> iter 12 value 766.055031
+#> iter 12 value 766.055031
+#> iter 12 value 766.055031
+#> final value 766.055031
+#> converged
+#> This is Run number 182
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.3700766 2.53812693 -3.7200766 -9.6618731 1
+#> 2 1 -6.20 -3.90 0.4562224 0.73030959 -5.7437776 -3.1696904 2
+#> 3 1 -14.20 -5.80 1.1245371 -0.07030654 -13.0754629 -5.8703065 2
+#> 4 1 -2.10 -13.20 -0.3341984 0.32984680 -2.4341984 -12.8701532 1
+#> 5 1 -1.70 -4.30 1.0686566 0.67234556 -0.6313434 -3.6276544 1
+#> 6 1 -6.90 -1.55 0.4300712 0.67710254 -6.4699288 -0.8728975 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5140 -38250 8150
+#> initial value 998.131940
+#> iter 2 value 824.872421
+#> iter 3 value 824.386198
+#> iter 4 value 823.000196
+#> iter 5 value 773.686672
+#> iter 6 value 763.858075
+#> iter 7 value 762.368509
+#> iter 8 value 762.342488
+#> iter 9 value 762.342091
+#> iter 10 value 762.341898
+#> iter 11 value 762.341835
+#> iter 12 value 762.341730
+#> iter 12 value 762.341730
+#> iter 12 value 762.341730
+#> final value 762.341730
+#> converged
+#> This is Run number 183
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.17874901 -0.2303294 -2.171251 -12.4303294 1
+#> 2 1 -6.20 -3.90 1.20634435 2.3905585 -4.993656 -1.5094415 2
+#> 3 1 -14.20 -5.80 1.60252074 1.1396396 -12.597479 -4.6603604 2
+#> 4 1 -2.10 -13.20 0.55904292 -0.3027912 -1.540957 -13.5027912 1
+#> 5 1 -1.70 -4.30 -0.72897239 0.3491448 -2.428972 -3.9508552 1
+#> 6 1 -6.90 -1.55 -0.09538345 0.6791749 -6.995383 -0.8708251 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -36900 7875
+#> initial value 998.131940
+#> iter 2 value 844.827345
+#> iter 3 value 843.832861
+#> iter 4 value 840.458372
+#> iter 5 value 787.011690
+#> iter 6 value 777.644219
+#> iter 7 value 776.127714
+#> iter 8 value 776.103222
+#> iter 9 value 776.102947
+#> iter 10 value 776.102882
+#> iter 10 value 776.102878
+#> iter 11 value 776.102856
+#> iter 12 value 776.102798
+#> iter 12 value 776.102793
+#> iter 12 value 776.102792
+#> final value 776.102792
+#> converged
+#> This is Run number 184
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.5289846 -1.0426591 -1.821015 -13.242659 1
+#> 2 1 -6.20 -3.90 -0.4509584 -0.1501863 -6.650958 -4.050186 2
+#> 3 1 -14.20 -5.80 -0.4117330 -0.8129843 -14.611733 -6.612984 2
+#> 4 1 -2.10 -13.20 -1.0339534 -0.6930176 -3.133953 -13.893018 1
+#> 5 1 -1.70 -4.30 0.1079656 2.8601453 -1.592034 -1.439855 2
+#> 6 1 -6.90 -1.55 0.5672184 -1.2517605 -6.332782 -2.801760 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5040 -38250 7850
+#> initial value 998.131940
+#> iter 2 value 826.708157
+#> iter 3 value 825.557067
+#> iter 4 value 823.484712
+#> iter 5 value 774.780532
+#> iter 6 value 764.922604
+#> iter 7 value 763.448114
+#> iter 8 value 763.421019
+#> iter 9 value 763.420551
+#> iter 10 value 763.420473
+#> iter 11 value 763.420456
+#> iter 12 value 763.420278
+#> iter 12 value 763.420278
+#> iter 12 value 763.420278
+#> final value 763.420278
+#> converged
+#> This is Run number 185
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.42437984 -0.04052128 -2.774380 -12.2405213 1
+#> 2 1 -6.20 -3.90 0.21339949 0.88075007 -5.986601 -3.0192499 2
+#> 3 1 -14.20 -5.80 -1.58495686 0.51083812 -15.784957 -5.2891619 2
+#> 4 1 -2.10 -13.20 -0.50534976 0.69451068 -2.605350 -12.5054893 1
+#> 5 1 -1.70 -4.30 -0.01138258 0.83367062 -1.711383 -3.4663294 1
+#> 6 1 -6.90 -1.55 -0.27305383 0.80578125 -7.173054 -0.7442187 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -36800 7525
+#> initial value 998.131940
+#> iter 2 value 848.343113
+#> iter 3 value 847.851758
+#> iter 4 value 844.989339
+#> iter 5 value 791.980766
+#> iter 6 value 782.586073
+#> iter 7 value 781.080610
+#> iter 8 value 781.053622
+#> iter 9 value 781.053513
+#> iter 10 value 781.053235
+#> iter 10 value 781.053232
+#> iter 11 value 781.053198
+#> iter 12 value 781.053128
+#> iter 13 value 781.053114
+#> iter 14 value 781.053102
+#> iter 14 value 781.053102
+#> iter 14 value 781.053102
+#> final value 781.053102
+#> converged
+#> This is Run number 186
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.1368768 0.916809636 -2.213123 -11.28319036 1
+#> 2 1 -6.20 -3.90 1.3424906 0.493717824 -4.857509 -3.40628218 2
+#> 3 1 -14.20 -5.80 1.7151312 2.143341726 -12.484869 -3.65665827 2
+#> 4 1 -2.10 -13.20 -0.5272566 0.003026948 -2.627257 -13.19697305 1
+#> 5 1 -1.70 -4.30 -0.8982325 -0.054648929 -2.598232 -4.35464893 1
+#> 6 1 -6.90 -1.55 -0.4318366 1.505628731 -7.331837 -0.04437127 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4460 -36025 6775
+#> initial value 998.131940
+#> iter 2 value 862.308773
+#> iter 3 value 861.440372
+#> iter 4 value 858.325799
+#> iter 5 value 804.469066
+#> iter 6 value 795.342853
+#> iter 7 value 793.792388
+#> iter 8 value 793.763715
+#> iter 9 value 793.763658
+#> iter 10 value 793.763518
+#> iter 10 value 793.763518
+#> iter 10 value 793.763514
+#> final value 793.763514
+#> converged
+#> This is Run number 187
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.8007374 3.3015374 -1.5492626 -8.898463 1
+#> 2 1 -6.20 -3.90 0.5945164 0.2518329 -5.6054836 -3.648167 2
+#> 3 1 -14.20 -5.80 0.7789776 0.6085331 -13.4210224 -5.191467 2
+#> 4 1 -2.10 -13.20 1.4466652 -0.6312492 -0.6533348 -13.831249 1
+#> 5 1 -1.70 -4.30 0.2745075 -0.2548041 -1.4254925 -4.554804 1
+#> 6 1 -6.90 -1.55 -0.0149709 2.6396468 -6.9149709 1.089647 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5160 -38675 8050
+#> initial value 998.131940
+#> iter 2 value 819.348442
+#> iter 3 value 817.946348
+#> iter 4 value 816.163963
+#> iter 5 value 768.566792
+#> iter 6 value 758.645091
+#> iter 7 value 757.182181
+#> iter 8 value 757.156474
+#> iter 9 value 757.156090
+#> iter 10 value 757.155849
+#> iter 11 value 757.155817
+#> iter 12 value 757.155700
+#> iter 12 value 757.155700
+#> iter 12 value 757.155700
+#> final value 757.155700
+#> converged
+#> This is Run number 188
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.4262638 2.43093629 0.07626377 -9.769064 1
+#> 2 1 -6.20 -3.90 -1.2857705 0.24089165 -7.48577048 -3.659108 2
+#> 3 1 -14.20 -5.80 -1.2989798 1.12096042 -15.49897981 -4.679040 2
+#> 4 1 -2.10 -13.20 -1.4849666 -0.42266271 -3.58496656 -13.622663 1
+#> 5 1 -1.70 -4.30 -0.5959271 -0.54712499 -2.29592707 -4.847125 1
+#> 6 1 -6.90 -1.55 2.1161153 -0.07945213 -4.78388473 -1.629452 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -36475 8225
+#> initial value 998.131940
+#> iter 2 value 848.243533
+#> iter 3 value 833.178463
+#> iter 4 value 831.638043
+#> iter 5 value 789.310977
+#> iter 6 value 781.342166
+#> iter 7 value 780.096679
+#> iter 8 value 780.049327
+#> iter 9 value 780.048520
+#> iter 10 value 780.048371
+#> iter 11 value 780.048223
+#> iter 12 value 780.048107
+#> iter 12 value 780.048107
+#> iter 12 value 780.048107
+#> final value 780.048107
+#> converged
+#> This is Run number 189
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.1171067 1.2048103 -1.2328933 -10.99518969 1
+#> 2 1 -6.20 -3.90 0.5317395 0.9415294 -5.6682605 -2.95847063 2
+#> 3 1 -14.20 -5.80 0.4676202 1.1920872 -13.7323798 -4.60791279 2
+#> 4 1 -2.10 -13.20 -0.1865045 0.3905657 -2.2865045 -12.80943431 1
+#> 5 1 -1.70 -4.30 1.2447684 -0.9535877 -0.4552316 -5.25358769 1
+#> 6 1 -6.90 -1.55 0.3935711 1.6374025 -6.5064289 0.08740254 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -35575 7200
+#> initial value 998.131940
+#> iter 2 value 865.786836
+#> iter 3 value 854.596915
+#> iter 4 value 853.625857
+#> iter 5 value 809.454235
+#> iter 6 value 801.694880
+#> iter 7 value 800.055277
+#> iter 8 value 800.004531
+#> iter 9 value 800.003833
+#> iter 10 value 800.003654
+#> iter 11 value 800.003415
+#> iter 12 value 800.003287
+#> iter 12 value 800.003287
+#> iter 12 value 800.003287
+#> final value 800.003287
+#> converged
+#> This is Run number 190
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.0466317 0.44040720 -3.3966317 -11.759593 1
+#> 2 1 -6.20 -3.90 1.2509813 1.91027959 -4.9490187 -1.989720 2
+#> 3 1 -14.20 -5.80 1.4758548 1.54105332 -12.7241452 -4.258947 2
+#> 4 1 -2.10 -13.20 0.3720488 -0.55387167 -1.7279512 -13.753872 1
+#> 5 1 -1.70 -4.30 2.4278099 -0.65524296 0.7278099 -4.955243 1
+#> 6 1 -6.90 -1.55 -0.6161156 0.06297309 -7.5161156 -1.487027 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -37200 6925
+#> initial value 998.131940
+#> iter 2 value 846.481654
+#> iter 3 value 845.880628
+#> iter 4 value 843.498222
+#> iter 5 value 793.165678
+#> iter 6 value 783.534825
+#> iter 7 value 781.985496
+#> iter 8 value 781.952588
+#> iter 9 value 781.952465
+#> iter 10 value 781.952119
+#> iter 10 value 781.952119
+#> iter 11 value 781.952104
+#> iter 12 value 781.952074
+#> iter 12 value 781.952074
+#> iter 12 value 781.952073
+#> final value 781.952073
+#> converged
+#> This is Run number 191
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.06857950 -0.1032335 -2.418580 -12.3032335 1
+#> 2 1 -6.20 -3.90 -0.03525107 0.5804152 -6.235251 -3.3195848 2
+#> 3 1 -14.20 -5.80 1.56786913 0.9600912 -12.632131 -4.8399088 2
+#> 4 1 -2.10 -13.20 -1.69355498 0.6158353 -3.793555 -12.5841647 1
+#> 5 1 -1.70 -4.30 -1.64365019 0.8818170 -3.343650 -3.4181830 1
+#> 6 1 -6.90 -1.55 4.12598863 1.7897396 -2.774011 0.2397396 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4180 -37275 9575
+#> initial value 998.131940
+#> iter 2 value 828.293826
+#> iter 3 value 808.457980
+#> iter 4 value 807.488734
+#> iter 5 value 767.968655
+#> iter 6 value 760.355134
+#> iter 7 value 759.577874
+#> iter 8 value 759.539618
+#> iter 9 value 759.539079
+#> iter 10 value 759.538725
+#> iter 11 value 759.538460
+#> iter 11 value 759.538452
+#> iter 11 value 759.538452
+#> final value 759.538452
+#> converged
+#> This is Run number 192
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.9862754 1.22277472 1.6362754 -10.977225 1
+#> 2 1 -6.20 -3.90 1.3695216 1.58602347 -4.8304784 -2.313977 2
+#> 3 1 -14.20 -5.80 0.3995884 -0.31630443 -13.8004116 -6.116304 2
+#> 4 1 -2.10 -13.20 -1.1881315 3.11787970 -3.2881315 -10.082120 1
+#> 5 1 -1.70 -4.30 0.9551859 -0.08201285 -0.7448141 -4.382013 1
+#> 6 1 -6.90 -1.55 -0.7450587 -0.90661582 -7.6450587 -2.456616 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -36525 8425
+#> initial value 998.131940
+#> iter 2 value 846.089822
+#> iter 3 value 846.031026
+#> iter 4 value 842.640024
+#> iter 5 value 786.523676
+#> iter 6 value 777.397058
+#> iter 7 value 775.836703
+#> iter 8 value 775.814633
+#> iter 9 value 775.814507
+#> iter 10 value 775.814490
+#> iter 11 value 775.814473
+#> iter 12 value 775.814286
+#> iter 12 value 775.814286
+#> iter 12 value 775.814286
+#> final value 775.814286
+#> converged
+#> This is Run number 193
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.6372537 0.72501692 -2.987254 -11.474983 1
+#> 2 1 -6.20 -3.90 0.9631344 -1.11052772 -5.236866 -5.010528 2
+#> 3 1 -14.20 -5.80 0.4176449 1.65600278 -13.782355 -4.143997 2
+#> 4 1 -2.10 -13.20 0.5659806 0.57733000 -1.534019 -12.622670 1
+#> 5 1 -1.70 -4.30 0.5559379 0.01894109 -1.144062 -4.281059 1
+#> 6 1 -6.90 -1.55 0.1185758 -1.23436664 -6.781424 -2.784367 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5180 -38100 7525
+#> initial value 998.131940
+#> iter 2 value 830.771777
+#> iter 3 value 830.014063
+#> iter 4 value 828.146449
+#> iter 5 value 779.586435
+#> iter 6 value 769.691728
+#> iter 7 value 768.208273
+#> iter 8 value 768.178058
+#> iter 9 value 768.177809
+#> iter 10 value 768.177535
+#> iter 11 value 768.177507
+#> iter 12 value 768.177270
+#> iter 12 value 768.177270
+#> iter 12 value 768.177270
+#> final value 768.177270
+#> converged
+#> This is Run number 194
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.6587907 1.19807011 -1.6912093 -11.001930 1
+#> 2 1 -6.20 -3.90 1.0542933 1.40176571 -5.1457067 -2.498234 2
+#> 3 1 -14.20 -5.80 0.5181683 0.32846473 -13.6818317 -5.471535 2
+#> 4 1 -2.10 -13.20 2.4193912 -0.93035715 0.3193912 -14.130357 1
+#> 5 1 -1.70 -4.30 -0.1020587 -0.55341990 -1.8020587 -4.853420 1
+#> 6 1 -6.90 -1.55 -1.3631788 0.03273008 -8.2631788 -1.517270 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3840 -38100 8900
+#> initial value 998.131940
+#> iter 2 value 821.283767
+#> iter 3 value 816.348242
+#> iter 4 value 810.556337
+#> iter 5 value 759.597504
+#> iter 6 value 750.175479
+#> iter 7 value 748.531019
+#> iter 8 value 748.506041
+#> iter 9 value 748.505965
+#> iter 10 value 748.505916
+#> iter 10 value 748.505916
+#> iter 11 value 748.505902
+#> iter 11 value 748.505897
+#> iter 11 value 748.505897
+#> final value 748.505897
+#> converged
+#> This is Run number 195
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.88961426 1.1818945 -4.2396143 -11.0181055 1
+#> 2 1 -6.20 -3.90 0.50438218 0.6048647 -5.6956178 -3.2951353 2
+#> 3 1 -14.20 -5.80 -0.34351261 -0.1556335 -14.5435126 -5.9556335 2
+#> 4 1 -2.10 -13.20 -0.02031323 0.1906350 -2.1203132 -13.0093650 1
+#> 5 1 -1.70 -4.30 1.14364940 0.9910110 -0.5563506 -3.3089890 1
+#> 6 1 -6.90 -1.55 -0.00664636 1.3402454 -6.9066464 -0.2097546 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4400 -38275 8200
+#> initial value 998.131940
+#> iter 2 value 823.910984
+#> iter 3 value 820.339981
+#> iter 4 value 816.064159
+#> iter 5 value 766.976362
+#> iter 6 value 757.283750
+#> iter 7 value 755.769023
+#> iter 8 value 755.745560
+#> iter 9 value 755.745487
+#> iter 10 value 755.745233
+#> iter 10 value 755.745231
+#> iter 11 value 755.745211
+#> iter 11 value 755.745202
+#> iter 11 value 755.745198
+#> final value 755.745198
+#> converged
+#> This is Run number 196
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.1637910 0.6287964 -3.5137910 -11.5712036 1
+#> 2 1 -6.20 -3.90 1.7244808 4.8247516 -4.4755192 0.9247516 2
+#> 3 1 -14.20 -5.80 -0.4103943 2.6792455 -14.6103943 -3.1207545 2
+#> 4 1 -2.10 -13.20 -0.7444798 0.5418108 -2.8444798 -12.6581892 1
+#> 5 1 -1.70 -4.30 1.1800858 -0.7111698 -0.5199142 -5.0111698 1
+#> 6 1 -6.90 -1.55 -0.1903098 1.3502617 -7.0903098 -0.1997383 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4960 -40250 8600
+#> initial value 998.131940
+#> iter 2 value 791.692129
+#> iter 3 value 786.288856
+#> iter 4 value 782.822821
+#> iter 5 value 740.187564
+#> iter 6 value 730.462037
+#> iter 7 value 729.021822
+#> iter 8 value 728.996366
+#> iter 9 value 728.996068
+#> iter 10 value 728.995842
+#> iter 11 value 728.995740
+#> iter 12 value 728.995699
+#> iter 12 value 728.995699
+#> iter 12 value 728.995699
+#> final value 728.995699
+#> converged
+#> This is Run number 197
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.5917722 0.2638446 -1.758228 -11.9361554 1
+#> 2 1 -6.20 -3.90 -0.1640450 3.2817926 -6.364045 -0.6182074 2
+#> 3 1 -14.20 -5.80 0.1877137 -1.2358812 -14.012286 -7.0358812 2
+#> 4 1 -2.10 -13.20 -0.1647376 0.5100212 -2.264738 -12.6899788 1
+#> 5 1 -1.70 -4.30 -0.2474549 1.3667281 -1.947455 -2.9332719 1
+#> 6 1 -6.90 -1.55 -1.0143700 -1.1463998 -7.914370 -2.6963998 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4300 -35350 8575
+#> initial value 998.131940
+#> iter 2 value 860.028209
+#> iter 3 value 844.426985
+#> iter 4 value 843.805923
+#> iter 5 value 800.754197
+#> iter 6 value 793.299138
+#> iter 7 value 792.326425
+#> iter 8 value 792.298478
+#> iter 9 value 792.298061
+#> iter 10 value 792.297910
+#> iter 11 value 792.297714
+#> iter 12 value 792.297603
+#> iter 12 value 792.297603
+#> iter 12 value 792.297603
+#> final value 792.297603
+#> converged
+#> This is Run number 198
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.73136270 2.8472852 -3.081363 -9.352715 1
+#> 2 1 -6.20 -3.90 0.07798976 1.6388682 -6.122010 -2.261132 2
+#> 3 1 -14.20 -5.80 -0.58144214 2.9682919 -14.781442 -2.831708 2
+#> 4 1 -2.10 -13.20 0.88491770 0.1085445 -1.215082 -13.091455 1
+#> 5 1 -1.70 -4.30 -0.54067985 1.9711485 -2.240680 -2.328851 1
+#> 6 1 -6.90 -1.55 1.38873960 -0.8016604 -5.511260 -2.351660 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5260 -38100 7050
+#> initial value 998.131940
+#> iter 2 value 833.414073
+#> iter 3 value 832.294536
+#> iter 4 value 830.092224
+#> iter 5 value 782.530152
+#> iter 6 value 772.572888
+#> iter 7 value 771.059595
+#> iter 8 value 771.026417
+#> iter 9 value 771.026286
+#> iter 10 value 771.025842
+#> iter 10 value 771.025841
+#> iter 11 value 771.025809
+#> iter 12 value 771.025794
+#> iter 12 value 771.025793
+#> iter 12 value 771.025789
+#> final value 771.025789
+#> converged
+#> This is Run number 199
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.67975874 0.1176193 -3.0297587 -12.0823807 1
+#> 2 1 -6.20 -3.90 -1.52037728 -0.1515259 -7.7203773 -4.0515259 2
+#> 3 1 -14.20 -5.80 0.38401302 -0.2785157 -13.8159870 -6.0785157 2
+#> 4 1 -2.10 -13.20 0.02622931 1.2998564 -2.0737707 -11.9001436 1
+#> 5 1 -1.70 -4.30 2.09693940 1.9349019 0.3969394 -2.3650981 1
+#> 6 1 -6.90 -1.55 0.86559452 0.6622561 -6.0344055 -0.8877439 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5240 -38125 7175
+#> initial value 998.131940
+#> iter 2 value 832.382809
+#> iter 3 value 831.321095
+#> iter 4 value 829.188711
+#> iter 5 value 781.450124
+#> iter 6 value 771.499516
+#> iter 7 value 769.999410
+#> iter 8 value 769.967115
+#> iter 9 value 769.966981
+#> iter 10 value 769.966498
+#> iter 10 value 769.966494
+#> iter 11 value 769.966441
+#> iter 11 value 769.966435
+#> iter 11 value 769.966433
+#> final value 769.966433
+#> converged
+#> This is Run number 200
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.02564954 -0.3828214 -1.3243505 -12.582821 1
+#> 2 1 -6.20 -3.90 0.69711801 -0.4021504 -5.5028820 -4.302150 2
+#> 3 1 -14.20 -5.80 0.05799658 -0.5287932 -14.1420034 -6.328793 2
+#> 4 1 -2.10 -13.20 4.39369893 -0.7035667 2.2936989 -13.903567 1
+#> 5 1 -1.70 -4.30 0.87861540 0.3748881 -0.8213846 -3.925112 1
+#> 6 1 -6.90 -1.55 0.96225048 -0.8427006 -5.9377495 -2.392701 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4860 -37950 6825
+#> initial value 998.131940
+#> iter 2 value 836.637014
+#> iter 3 value 833.623796
+#> iter 4 value 829.799665
+#> iter 5 value 782.334893
+#> iter 6 value 772.422116
+#> iter 7 value 770.868755
+#> iter 8 value 770.836952
+#> iter 9 value 770.836916
+#> iter 10 value 770.836809
+#> iter 10 value 770.836808
+#> iter 10 value 770.836802
+#> final value 770.836802
+#> converged
+#> This is Run number 201
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.6611689 -0.5192342 -0.6888311 -12.719234 1
+#> 2 1 -6.20 -3.90 -0.3953617 -1.5911902 -6.5953617 -5.491190 2
+#> 3 1 -14.20 -5.80 3.3363392 2.0013493 -10.8636608 -3.798651 2
+#> 4 1 -2.10 -13.20 1.3444213 -1.0772566 -0.7555787 -14.277257 1
+#> 5 1 -1.70 -4.30 -0.5800091 1.7551467 -2.2800091 -2.544853 1
+#> 6 1 -6.90 -1.55 0.3693793 0.1379461 -6.5306207 -1.412054 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5140 -37950 7700
+#> initial value 998.131940
+#> iter 2 value 831.866493
+#> iter 3 value 831.489997
+#> iter 4 value 829.831201
+#> iter 5 value 780.383607
+#> iter 6 value 770.557277
+#> iter 7 value 769.068489
+#> iter 8 value 769.039009
+#> iter 9 value 769.038666
+#> iter 10 value 769.038416
+#> iter 11 value 769.038366
+#> iter 12 value 769.038200
+#> iter 12 value 769.038200
+#> iter 12 value 769.038200
+#> final value 769.038200
+#> converged
+#> This is Run number 202
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.2212173 1.07261390 -2.571217 -11.1273861 1
+#> 2 1 -6.20 -3.90 -1.4528728 0.23157444 -7.652873 -3.6684256 2
+#> 3 1 -14.20 -5.80 0.7043056 -0.30487024 -13.495694 -6.1048702 2
+#> 4 1 -2.10 -13.20 0.8734026 2.27787752 -1.226597 -10.9221225 1
+#> 5 1 -1.70 -4.30 0.5994021 -0.04387482 -1.100598 -4.3438748 1
+#> 6 1 -6.90 -1.55 -0.0730933 0.89834610 -6.973093 -0.6516539 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4740 -38200 7800
+#> initial value 998.131940
+#> iter 2 value 827.632029
+#> iter 3 value 825.272047
+#> iter 4 value 822.012029
+#> iter 5 value 773.339383
+#> iter 6 value 763.529589
+#> iter 7 value 762.049835
+#> iter 8 value 762.024263
+#> iter 9 value 762.023932
+#> iter 10 value 762.023869
+#> iter 10 value 762.023869
+#> iter 11 value 762.023838
+#> iter 12 value 762.023751
+#> iter 12 value 762.023751
+#> iter 12 value 762.023747
+#> final value 762.023747
+#> converged
+#> This is Run number 203
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.4223917 0.54838832 -2.772392 -11.6516117 1
+#> 2 1 -6.20 -3.90 -0.1913676 -1.04892467 -6.391368 -4.9489247 2
+#> 3 1 -14.20 -5.80 1.6427687 0.04426186 -12.557231 -5.7557381 2
+#> 4 1 -2.10 -13.20 0.4886420 2.14948461 -1.611358 -11.0505154 1
+#> 5 1 -1.70 -4.30 -1.0308608 1.23312064 -2.730861 -3.0668794 1
+#> 6 1 -6.90 -1.55 0.4178737 1.92678055 -6.482126 0.3767805 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -37225 8075
+#> initial value 998.131940
+#> iter 2 value 839.531371
+#> iter 3 value 825.594456
+#> iter 4 value 824.667629
+#> iter 5 value 784.362840
+#> iter 6 value 776.064548
+#> iter 7 value 774.800128
+#> iter 8 value 774.750323
+#> iter 9 value 774.749418
+#> iter 10 value 774.749219
+#> iter 11 value 774.748986
+#> iter 12 value 774.748814
+#> iter 12 value 774.748814
+#> iter 12 value 774.748814
+#> final value 774.748814
+#> converged
+#> This is Run number 204
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.3272043 0.13172885 -2.6772043 -12.0682711 1
+#> 2 1 -6.20 -3.90 4.1554959 -0.42807068 -2.0445041 -4.3280707 1
+#> 3 1 -14.20 -5.80 1.6140968 0.10340405 -12.5859032 -5.6965959 2
+#> 4 1 -2.10 -13.20 1.4138129 2.68682560 -0.6861871 -10.5131744 1
+#> 5 1 -1.70 -4.30 1.1933754 0.03015926 -0.5066246 -4.2698407 1
+#> 6 1 -6.90 -1.55 -0.3170472 0.80494024 -7.2170472 -0.7450598 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4920 -37725 8000
+#> initial value 998.131940
+#> iter 2 value 833.171157
+#> iter 3 value 832.916900
+#> iter 4 value 831.087327
+#> iter 5 value 780.198995
+#> iter 6 value 770.512187
+#> iter 7 value 769.013462
+#> iter 8 value 768.986663
+#> iter 9 value 768.986216
+#> iter 10 value 768.986105
+#> iter 11 value 768.986070
+#> iter 12 value 768.985940
+#> iter 12 value 768.985940
+#> iter 12 value 768.985940
+#> final value 768.985940
+#> converged
+#> This is Run number 205
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.53660929 0.009501503 -1.81339071 -12.190498 1
+#> 2 1 -6.20 -3.90 3.41665951 0.516960836 -2.78334049 -3.383039 1
+#> 3 1 -14.20 -5.80 -0.87680918 -0.053463640 -15.07680918 -5.853464 2
+#> 4 1 -2.10 -13.20 0.05147548 1.120640636 -2.04852452 -12.079359 1
+#> 5 1 -1.70 -4.30 1.68717513 0.269970203 -0.01282487 -4.030030 1
+#> 6 1 -6.90 -1.55 0.76125277 3.411392328 -6.13874723 1.861392 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -37975 7975
+#> initial value 998.131940
+#> iter 2 value 829.665778
+#> iter 3 value 827.200445
+#> iter 4 value 823.608741
+#> iter 5 value 773.796901
+#> iter 6 value 764.101593
+#> iter 7 value 762.601784
+#> iter 8 value 762.577343
+#> iter 9 value 762.577102
+#> iter 10 value 762.576942
+#> iter 10 value 762.576942
+#> iter 11 value 762.576929
+#> iter 12 value 762.576892
+#> iter 12 value 762.576892
+#> iter 12 value 762.576890
+#> final value 762.576890
+#> converged
+#> This is Run number 206
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.33147691 0.99003239 -2.018523 -11.209968 1
+#> 2 1 -6.20 -3.90 -1.52250633 0.98664660 -7.722506 -2.913353 2
+#> 3 1 -14.20 -5.80 -0.23216934 1.91391446 -14.432169 -3.886086 2
+#> 4 1 -2.10 -13.20 -0.06535737 1.52462297 -2.165357 -11.675377 1
+#> 5 1 -1.70 -4.30 0.10177041 -0.80387259 -1.598230 -5.103873 1
+#> 6 1 -6.90 -1.55 0.42164366 0.09852411 -6.478356 -1.451476 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4220 -38325 8600
+#> initial value 998.131940
+#> iter 2 value 820.471299
+#> iter 3 value 816.497086
+#> iter 4 value 811.900589
+#> iter 5 value 762.209930
+#> iter 6 value 752.634874
+#> iter 7 value 751.075121
+#> iter 8 value 751.051807
+#> iter 9 value 751.051717
+#> iter 10 value 751.051564
+#> iter 10 value 751.051561
+#> iter 10 value 751.051556
+#> final value 751.051556
+#> converged
+#> This is Run number 207
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.8819750 -1.2915663 -0.468025 -13.491566 1
+#> 2 1 -6.20 -3.90 1.1323766 0.6188376 -5.067623 -3.281162 2
+#> 3 1 -14.20 -5.80 0.6224675 1.2390871 -13.577533 -4.560913 2
+#> 4 1 -2.10 -13.20 0.2718437 -0.6112038 -1.828156 -13.811204 1
+#> 5 1 -1.70 -4.30 -0.8276116 2.4274721 -2.527612 -1.872528 2
+#> 6 1 -6.90 -1.55 1.1114923 3.7289883 -5.788508 2.178988 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4340 -38225 8850
+#> initial value 998.131940
+#> iter 2 value 820.328416
+#> iter 3 value 817.694536
+#> iter 4 value 814.199310
+#> iter 5 value 763.393848
+#> iter 6 value 753.879835
+#> iter 7 value 752.309889
+#> iter 8 value 752.286877
+#> iter 9 value 752.286758
+#> iter 10 value 752.286583
+#> iter 10 value 752.286582
+#> iter 11 value 752.286556
+#> iter 11 value 752.286548
+#> iter 11 value 752.286548
+#> final value 752.286548
+#> converged
+#> This is Run number 208
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.2645935 3.7486865 -2.085406 -8.451314 1
+#> 2 1 -6.20 -3.90 0.1348066 1.3281247 -6.065193 -2.571875 2
+#> 3 1 -14.20 -5.80 0.7251795 2.3766584 -13.474821 -3.423342 2
+#> 4 1 -2.10 -13.20 1.0677728 0.6002044 -1.032227 -12.599796 1
+#> 5 1 -1.70 -4.30 -0.2882502 0.7660063 -1.988250 -3.533994 1
+#> 6 1 -6.90 -1.55 0.9701812 0.2959677 -5.929819 -1.254032 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -38025 7875
+#> initial value 998.131940
+#> iter 2 value 829.498088
+#> iter 3 value 826.197684
+#> iter 4 value 821.948733
+#> iter 5 value 772.625836
+#> iter 6 value 762.905278
+#> iter 7 value 761.399717
+#> iter 8 value 761.375311
+#> iter 9 value 761.375158
+#> iter 10 value 761.375036
+#> iter 10 value 761.375035
+#> iter 11 value 761.375002
+#> iter 12 value 761.374978
+#> iter 12 value 761.374978
+#> iter 12 value 761.374971
+#> final value 761.374971
+#> converged
+#> This is Run number 209
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.5274654 -0.03312567 -1.8225346 -12.233126 1
+#> 2 1 -6.20 -3.90 1.6312161 -1.26986942 -4.5687839 -5.169869 1
+#> 3 1 -14.20 -5.80 0.2480153 1.62287504 -13.9519847 -4.177125 2
+#> 4 1 -2.10 -13.20 1.2027451 0.43044158 -0.8972549 -12.769558 1
+#> 5 1 -1.70 -4.30 4.5306161 2.94256439 2.8306161 -1.357436 1
+#> 6 1 -6.90 -1.55 1.5341076 -0.08601901 -5.3658924 -1.636019 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5200 -38700 7300
+#> initial value 998.131940
+#> iter 2 value 823.397883
+#> iter 3 value 821.216503
+#> iter 4 value 818.528295
+#> iter 5 value 772.592925
+#> iter 6 value 762.517834
+#> iter 7 value 761.059714
+#> iter 8 value 761.030326
+#> iter 9 value 761.030030
+#> iter 10 value 761.029823
+#> iter 10 value 761.029823
+#> iter 11 value 761.029792
+#> iter 12 value 761.029748
+#> iter 12 value 761.029748
+#> iter 12 value 761.029743
+#> final value 761.029743
+#> converged
+#> This is Run number 210
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.1768665 -0.7960847 -2.1731335 -12.996085 1
+#> 2 1 -6.20 -3.90 0.7901106 1.3908150 -5.4098894 -2.509185 2
+#> 3 1 -14.20 -5.80 -0.5724390 -0.9475604 -14.7724390 -6.747560 2
+#> 4 1 -2.10 -13.20 0.3822200 1.1498824 -1.7177800 -12.050118 1
+#> 5 1 -1.70 -4.30 2.4046482 -0.9636387 0.7046482 -5.263639 1
+#> 6 1 -6.90 -1.55 0.2213680 0.1867141 -6.6786320 -1.363286 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -38375 8425
+#> initial value 998.131940
+#> iter 2 value 821.165205
+#> iter 3 value 818.692703
+#> iter 4 value 815.553862
+#> iter 5 value 766.183941
+#> iter 6 value 756.501016
+#> iter 7 value 754.990281
+#> iter 8 value 754.967107
+#> iter 9 value 754.967001
+#> iter 10 value 754.966656
+#> iter 10 value 754.966656
+#> iter 11 value 754.966635
+#> iter 12 value 754.966614
+#> iter 12 value 754.966614
+#> iter 12 value 754.966609
+#> final value 754.966609
+#> converged
+#> This is Run number 211
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.96082601 0.89956020 -0.389174 -11.300440 1
+#> 2 1 -6.20 -3.90 -0.09946271 1.00658810 -6.299463 -2.893412 2
+#> 3 1 -14.20 -5.80 -0.20824904 2.39293508 -14.408249 -3.407065 2
+#> 4 1 -2.10 -13.20 -0.88722908 1.33952258 -2.987229 -11.860477 1
+#> 5 1 -1.70 -4.30 -0.97506850 -0.02062372 -2.675069 -4.320624 1
+#> 6 1 -6.90 -1.55 0.32015415 3.28518430 -6.579846 1.735184 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -35950 7550
+#> initial value 998.131940
+#> iter 2 value 858.925078
+#> iter 3 value 845.722675
+#> iter 4 value 843.700840
+#> iter 5 value 799.392752
+#> iter 6 value 791.475751
+#> iter 7 value 789.899219
+#> iter 8 value 789.842737
+#> iter 9 value 789.841929
+#> iter 10 value 789.841822
+#> iter 11 value 789.841720
+#> iter 12 value 789.841639
+#> iter 12 value 789.841639
+#> iter 12 value 789.841639
+#> final value 789.841639
+#> converged
+#> This is Run number 212
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.2947065 0.6409884 -2.6447065 -11.559012 1
+#> 2 1 -6.20 -3.90 -0.3603534 1.3152634 -6.5603534 -2.584737 2
+#> 3 1 -14.20 -5.80 1.1207609 4.1729656 -13.0792391 -1.627034 2
+#> 4 1 -2.10 -13.20 1.5686805 2.9921795 -0.5313195 -10.207821 1
+#> 5 1 -1.70 -4.30 1.4065242 1.9161339 -0.2934758 -2.383866 1
+#> 6 1 -6.90 -1.55 3.0936157 -0.3648565 -3.8063843 -1.914856 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3800 -36850 8175
+#> initial value 998.131940
+#> iter 2 value 843.143895
+#> iter 3 value 840.175148
+#> iter 4 value 835.036905
+#> iter 5 value 780.879108
+#> iter 6 value 771.599884
+#> iter 7 value 770.012818
+#> iter 8 value 769.990330
+#> iter 8 value 769.990328
+#> final value 769.990328
+#> converged
+#> This is Run number 213
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.5252644 -0.6165983 0.1752644 -12.816598 1
+#> 2 1 -6.20 -3.90 -0.1078932 -1.0227831 -6.3078932 -4.922783 2
+#> 3 1 -14.20 -5.80 -0.9044652 0.5887002 -15.1044652 -5.211300 2
+#> 4 1 -2.10 -13.20 -0.2690952 -0.1724116 -2.3690952 -13.372412 1
+#> 5 1 -1.70 -4.30 -0.3998890 1.0748204 -2.0998890 -3.225180 1
+#> 6 1 -6.90 -1.55 0.5526397 -1.3208595 -6.3473603 -2.870860 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -37150 8300
+#> initial value 998.131940
+#> iter 2 value 839.114363
+#> iter 3 value 824.510748
+#> iter 4 value 823.750861
+#> iter 5 value 783.556588
+#> iter 6 value 775.338357
+#> iter 7 value 774.193530
+#> iter 8 value 774.149097
+#> iter 9 value 774.148286
+#> iter 10 value 774.148084
+#> iter 11 value 774.147833
+#> iter 12 value 774.147655
+#> iter 12 value 774.147655
+#> iter 12 value 774.147655
+#> final value 774.147655
+#> converged
+#> This is Run number 214
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.13989282 0.31788820 -2.489893 -11.8821118 1
+#> 2 1 -6.20 -3.90 2.44017767 2.67297784 -3.759822 -1.2270222 2
+#> 3 1 -14.20 -5.80 0.08114534 0.76591541 -14.118855 -5.0340846 2
+#> 4 1 -2.10 -13.20 0.62950384 -0.99450266 -1.470496 -14.1945027 1
+#> 5 1 -1.70 -4.30 0.28862814 -0.04864252 -1.411372 -4.3486425 1
+#> 6 1 -6.90 -1.55 0.80438102 1.09363756 -6.095619 -0.4563624 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -38775 8075
+#> initial value 998.131940
+#> iter 2 value 817.598850
+#> iter 3 value 814.067338
+#> iter 4 value 810.350101
+#> iter 5 value 763.269256
+#> iter 6 value 753.422729
+#> iter 7 value 751.952003
+#> iter 8 value 751.928085
+#> iter 9 value 751.927990
+#> iter 10 value 751.927649
+#> iter 10 value 751.927645
+#> iter 11 value 751.927606
+#> iter 11 value 751.927599
+#> iter 11 value 751.927596
+#> final value 751.927596
+#> converged
+#> This is Run number 215
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.7818964 -0.36930080 -1.5681036 -12.5693008 1
+#> 2 1 -6.20 -3.90 0.2217283 2.82988152 -5.9782717 -1.0701185 2
+#> 3 1 -14.20 -5.80 -0.8209807 -0.04621425 -15.0209807 -5.8462143 2
+#> 4 1 -2.10 -13.20 3.0456854 -0.37238226 0.9456854 -13.5723823 1
+#> 5 1 -1.70 -4.30 1.0786661 4.51897137 -0.6213339 0.2189714 2
+#> 6 1 -6.90 -1.55 -1.4165239 -0.26052548 -8.3165239 -1.8105255 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4360 -36600 8400
+#> initial value 998.131940
+#> iter 2 value 845.536623
+#> iter 3 value 830.012685
+#> iter 4 value 828.677130
+#> iter 5 value 786.893422
+#> iter 6 value 778.926744
+#> iter 7 value 777.769857
+#> iter 8 value 777.725289
+#> iter 9 value 777.724504
+#> iter 10 value 777.724344
+#> iter 11 value 777.724173
+#> iter 12 value 777.724044
+#> iter 12 value 777.724044
+#> iter 12 value 777.724044
+#> final value 777.724044
+#> converged
+#> This is Run number 216
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.8572214 -0.046325959 -3.207221 -12.246326 1
+#> 2 1 -6.20 -3.90 -0.6141226 1.361625768 -6.814123 -2.538374 2
+#> 3 1 -14.20 -5.80 1.1848798 0.214174812 -13.015120 -5.585825 2
+#> 4 1 -2.10 -13.20 -0.5069679 -0.003723596 -2.606968 -13.203724 1
+#> 5 1 -1.70 -4.30 -0.1515510 0.122873746 -1.851551 -4.177126 1
+#> 6 1 -6.90 -1.55 -0.6558761 0.343744846 -7.555876 -1.206255 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4460 -37450 8400
+#> initial value 998.131940
+#> iter 2 value 834.249097
+#> iter 3 value 833.514098
+#> iter 4 value 830.774512
+#> iter 5 value 778.021919
+#> iter 6 value 768.552743
+#> iter 7 value 767.018294
+#> iter 8 value 766.994992
+#> iter 9 value 766.994858
+#> iter 10 value 766.994669
+#> iter 11 value 766.994650
+#> iter 12 value 766.994500
+#> iter 12 value 766.994500
+#> iter 12 value 766.994500
+#> final value 766.994500
+#> converged
+#> This is Run number 217
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.9060572 0.9835320 -1.44394276 -11.2164680 1
+#> 2 1 -6.20 -3.90 1.0482856 0.7338503 -5.15171436 -3.1661497 2
+#> 3 1 -14.20 -5.80 0.9730635 1.1934169 -13.22693647 -4.6065831 2
+#> 4 1 -2.10 -13.20 -0.2847167 -0.4568749 -2.38471669 -13.6568749 1
+#> 5 1 -1.70 -4.30 1.6222771 1.3209311 -0.07772293 -2.9790689 1
+#> 6 1 -6.90 -1.55 0.1058330 2.5148493 -6.79416704 0.9648493 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5300 -38200 7150
+#> initial value 998.131940
+#> iter 2 value 831.451972
+#> iter 3 value 830.433227
+#> iter 4 value 828.404009
+#> iter 5 value 780.970543
+#> iter 6 value 770.988737
+#> iter 7 value 769.488339
+#> iter 8 value 769.455520
+#> iter 9 value 769.455379
+#> iter 10 value 769.454883
+#> iter 10 value 769.454878
+#> iter 11 value 769.454828
+#> iter 11 value 769.454819
+#> iter 11 value 769.454817
+#> final value 769.454817
+#> converged
+#> This is Run number 218
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.1574379 -0.7112123 -2.19256214 -12.911212 1
+#> 2 1 -6.20 -3.90 -1.0373591 0.1572026 -7.23735912 -3.742797 2
+#> 3 1 -14.20 -5.80 -0.2482313 1.0187661 -14.44823131 -4.781234 2
+#> 4 1 -2.10 -13.20 0.1080556 1.7519414 -1.99194443 -11.448059 1
+#> 5 1 -1.70 -4.30 1.6982922 0.1584201 -0.00170778 -4.141580 1
+#> 6 1 -6.90 -1.55 0.6121255 -1.1919284 -6.28787453 -2.741928 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5040 -37525 8100
+#> initial value 998.131940
+#> iter 2 value 835.332731
+#> iter 3 value 821.576755
+#> iter 4 value 820.927865
+#> iter 5 value 781.520256
+#> iter 6 value 773.111806
+#> iter 7 value 771.894903
+#> iter 8 value 771.846412
+#> iter 9 value 771.845514
+#> iter 10 value 771.845297
+#> iter 11 value 771.845024
+#> iter 12 value 771.844825
+#> iter 12 value 771.844825
+#> iter 12 value 771.844825
+#> final value 771.844825
+#> converged
+#> This is Run number 219
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.2451418 0.2229629 -2.595142 -11.9770371 1
+#> 2 1 -6.20 -3.90 4.2556032 -0.3249627 -1.944397 -4.2249627 1
+#> 3 1 -14.20 -5.80 -0.5330461 0.5285331 -14.733046 -5.2714669 2
+#> 4 1 -2.10 -13.20 -0.3067118 1.1227871 -2.406712 -12.0772129 1
+#> 5 1 -1.70 -4.30 0.1042856 -0.3718101 -1.595714 -4.6718101 1
+#> 6 1 -6.90 -1.55 -0.2574763 1.7295182 -7.157476 0.1795182 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -38975 9050
+#> initial value 998.131940
+#> iter 2 value 808.271769
+#> iter 3 value 806.279874
+#> iter 4 value 804.705132
+#> iter 5 value 756.169423
+#> iter 6 value 746.511555
+#> iter 7 value 744.980557
+#> iter 8 value 744.957975
+#> iter 9 value 744.957716
+#> iter 10 value 744.957511
+#> iter 10 value 744.957504
+#> iter 11 value 744.957463
+#> iter 12 value 744.957434
+#> iter 12 value 744.957431
+#> iter 12 value 744.957423
+#> final value 744.957423
+#> converged
+#> This is Run number 220
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.6830793 -0.89195528 -3.0330793 -13.091955 1
+#> 2 1 -6.20 -3.90 1.7715770 2.71132969 -4.4284230 -1.188670 2
+#> 3 1 -14.20 -5.80 -0.1466834 0.68075818 -14.3466834 -5.119242 2
+#> 4 1 -2.10 -13.20 -0.1869603 1.57027988 -2.2869603 -11.629720 1
+#> 5 1 -1.70 -4.30 0.9843228 -0.45901535 -0.7156772 -4.759015 1
+#> 6 1 -6.90 -1.55 3.0694237 0.09228439 -3.8305763 -1.457716 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -37850 9400
+#> initial value 998.131940
+#> iter 2 value 821.911909
+#> iter 3 value 803.274657
+#> iter 4 value 802.729930
+#> iter 5 value 764.671946
+#> iter 6 value 756.795479
+#> iter 7 value 756.012670
+#> iter 8 value 755.973726
+#> iter 9 value 755.973189
+#> iter 10 value 755.972636
+#> iter 11 value 755.972338
+#> iter 12 value 755.972305
+#> iter 12 value 755.972305
+#> iter 12 value 755.972305
+#> final value 755.972305
+#> converged
+#> This is Run number 221
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.46204251 2.0258411 -1.887957 -10.174159 1
+#> 2 1 -6.20 -3.90 -0.73703195 2.7396051 -6.937032 -1.160395 2
+#> 3 1 -14.20 -5.80 4.62026472 -1.1042179 -9.579735 -6.904218 2
+#> 4 1 -2.10 -13.20 -0.78874110 -0.6175690 -2.888741 -13.817569 1
+#> 5 1 -1.70 -4.30 -0.09436361 1.1072941 -1.794364 -3.192706 1
+#> 6 1 -6.90 -1.55 -0.17157498 -0.9294871 -7.071575 -2.479487 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5100 -37275 7475
+#> initial value 998.131940
+#> iter 2 value 842.473425
+#> iter 3 value 830.551070
+#> iter 4 value 829.579977
+#> iter 5 value 789.091698
+#> iter 6 value 780.668399
+#> iter 7 value 779.089779
+#> iter 8 value 779.028540
+#> iter 9 value 779.027502
+#> iter 10 value 779.027297
+#> iter 11 value 779.027052
+#> iter 12 value 779.026877
+#> iter 12 value 779.026877
+#> iter 12 value 779.026877
+#> final value 779.026877
+#> converged
+#> This is Run number 222
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.8331926 0.3044384 -3.183193 -11.895562 1
+#> 2 1 -6.20 -3.90 -0.8347592 0.8766310 -7.034759 -3.023369 2
+#> 3 1 -14.20 -5.80 1.9946349 0.1053642 -12.205365 -5.694636 2
+#> 4 1 -2.10 -13.20 -0.6342008 1.2022323 -2.734201 -11.997768 1
+#> 5 1 -1.70 -4.30 4.3684669 1.6272935 2.668467 -2.672707 1
+#> 6 1 -6.90 -1.55 5.8201447 -0.7644829 -1.079855 -2.314483 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4560 -38400 8650
+#> initial value 998.131940
+#> iter 2 value 819.303495
+#> iter 3 value 816.906029
+#> iter 4 value 813.895717
+#> iter 5 value 764.121457
+#> iter 6 value 754.495744
+#> iter 7 value 752.964872
+#> iter 8 value 752.942043
+#> iter 9 value 752.941920
+#> iter 10 value 752.941645
+#> iter 10 value 752.941645
+#> iter 11 value 752.941631
+#> iter 12 value 752.941581
+#> iter 12 value 752.941581
+#> iter 12 value 752.941577
+#> final value 752.941577
+#> converged
+#> This is Run number 223
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.5462463 -0.5084753 -0.8037537 -12.7084753 1
+#> 2 1 -6.20 -3.90 -0.7297658 2.7955792 -6.9297658 -1.1044208 2
+#> 3 1 -14.20 -5.80 2.7662387 -1.0960633 -11.4337613 -6.8960633 2
+#> 4 1 -2.10 -13.20 1.0825753 0.2544271 -1.0174247 -12.9455729 1
+#> 5 1 -1.70 -4.30 0.2226683 1.1584525 -1.4773317 -3.1415475 1
+#> 6 1 -6.90 -1.55 1.7433892 0.6413078 -5.1566108 -0.9086922 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4220 -36100 7950
+#> initial value 998.131940
+#> iter 2 value 854.655717
+#> iter 3 value 840.286851
+#> iter 4 value 838.464413
+#> iter 5 value 794.937719
+#> iter 6 value 787.043538
+#> iter 7 value 785.666582
+#> iter 8 value 785.616369
+#> iter 9 value 785.615586
+#> iter 10 value 785.615459
+#> iter 11 value 785.615338
+#> iter 12 value 785.615244
+#> iter 12 value 785.615244
+#> iter 12 value 785.615244
+#> final value 785.615244
+#> converged
+#> This is Run number 224
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.1527113 2.0518032 0.8027113 -10.148197 1
+#> 2 1 -6.20 -3.90 0.8899827 -1.0239389 -5.3100173 -4.923939 2
+#> 3 1 -14.20 -5.80 -0.8217042 -1.0562186 -15.0217042 -6.856219 2
+#> 4 1 -2.10 -13.20 1.0924533 -1.4447415 -1.0075467 -14.644742 1
+#> 5 1 -1.70 -4.30 1.5310610 -0.3864360 -0.1689390 -4.686436 1
+#> 6 1 -6.90 -1.55 2.6157620 -0.1411399 -4.2842380 -1.691140 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -38475 8025
+#> initial value 998.131940
+#> iter 2 value 822.365538
+#> iter 3 value 820.314271
+#> iter 4 value 817.651485
+#> iter 5 value 769.432425
+#> iter 6 value 759.592431
+#> iter 7 value 758.120696
+#> iter 8 value 758.095726
+#> iter 9 value 758.095415
+#> iter 10 value 758.095192
+#> iter 10 value 758.095187
+#> iter 11 value 758.095149
+#> iter 12 value 758.095103
+#> iter 12 value 758.095103
+#> iter 12 value 758.095095
+#> final value 758.095095
+#> converged
+#> This is Run number 225
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.6489142 -0.98052015 -1.701086 -13.1805201 1
+#> 2 1 -6.20 -3.90 0.6566954 1.94836813 -5.543305 -1.9516319 2
+#> 3 1 -14.20 -5.80 0.2926962 -0.03185116 -13.907304 -5.8318512 2
+#> 4 1 -2.10 -13.20 0.8665063 -0.79771814 -1.233494 -13.9977181 1
+#> 5 1 -1.70 -4.30 -0.7990171 3.10619374 -2.499017 -1.1938063 2
+#> 6 1 -6.90 -1.55 0.3351253 0.55250965 -6.564875 -0.9974904 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3720 -35775 8600
+#> initial value 998.131940
+#> iter 2 value 854.130016
+#> iter 3 value 836.997157
+#> iter 4 value 834.807542
+#> iter 5 value 790.634845
+#> iter 6 value 783.053786
+#> iter 7 value 781.931676
+#> iter 8 value 781.889693
+#> iter 9 value 781.889041
+#> iter 10 value 781.888943
+#> iter 11 value 781.888872
+#> iter 12 value 781.888805
+#> iter 12 value 781.888805
+#> iter 12 value 781.888805
+#> final value 781.888805
+#> converged
+#> This is Run number 226
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.63429934 3.258987 0.2842993 -8.9410130 1
+#> 2 1 -6.20 -3.90 -0.08634780 -1.211447 -6.2863478 -5.1114473 2
+#> 3 1 -14.20 -5.80 -0.05242249 1.559033 -14.2524225 -4.2409672 2
+#> 4 1 -2.10 -13.20 -1.07424200 2.101584 -3.1742420 -11.0984162 1
+#> 5 1 -1.70 -4.30 0.87497769 1.659815 -0.8250223 -2.6401852 1
+#> 6 1 -6.90 -1.55 -1.10712039 1.016576 -8.0071204 -0.5334245 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5200 -38225 7300
+#> initial value 998.131940
+#> iter 2 value 830.268985
+#> iter 3 value 829.038991
+#> iter 4 value 826.835613
+#> iter 5 value 779.189578
+#> iter 6 value 769.230033
+#> iter 7 value 767.744815
+#> iter 8 value 767.713835
+#> iter 9 value 767.713723
+#> iter 10 value 767.713288
+#> iter 10 value 767.713283
+#> iter 11 value 767.713209
+#> iter 12 value 767.713165
+#> iter 12 value 767.713154
+#> iter 12 value 767.713154
+#> final value 767.713154
+#> converged
+#> This is Run number 227
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.5387713 0.5110238 -0.8112287 -11.688976 1
+#> 2 1 -6.20 -3.90 -0.6929681 -0.5261176 -6.8929681 -4.426118 2
+#> 3 1 -14.20 -5.80 -0.1610842 1.2185085 -14.3610842 -4.581491 2
+#> 4 1 -2.10 -13.20 -0.3075401 1.2440309 -2.4075401 -11.955969 1
+#> 5 1 -1.70 -4.30 -0.5152276 0.6473089 -2.2152276 -3.652691 1
+#> 6 1 -6.90 -1.55 0.6693692 0.4242264 -6.2306308 -1.125774 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -37250 7025
+#> initial value 998.131940
+#> iter 2 value 845.220847
+#> iter 3 value 843.856517
+#> iter 4 value 840.851468
+#> iter 5 value 790.498915
+#> iter 6 value 780.863900
+#> iter 7 value 779.327932
+#> iter 8 value 779.297416
+#> iter 9 value 779.297334
+#> iter 10 value 779.297059
+#> iter 10 value 779.297059
+#> iter 11 value 779.297043
+#> iter 11 value 779.297032
+#> iter 11 value 779.297030
+#> final value 779.297030
+#> converged
+#> This is Run number 228
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.00913671 0.3640908 -3.359137 -11.835909 1
+#> 2 1 -6.20 -3.90 1.86487839 1.0866935 -4.335122 -2.813306 2
+#> 3 1 -14.20 -5.80 -0.70743127 -0.8649129 -14.907431 -6.664913 2
+#> 4 1 -2.10 -13.20 0.52873096 0.5563107 -1.571269 -12.643689 1
+#> 5 1 -1.70 -4.30 -0.51320387 -1.4462085 -2.213204 -5.746209 1
+#> 6 1 -6.90 -1.55 -0.06736038 1.3044030 -6.967360 -0.245597 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -37475 7350
+#> initial value 998.131940
+#> iter 2 value 840.375129
+#> iter 3 value 838.978332
+#> iter 4 value 835.992906
+#> iter 5 value 785.700100
+#> iter 6 value 776.022173
+#> iter 7 value 774.516113
+#> iter 8 value 774.487554
+#> iter 9 value 774.487458
+#> iter 10 value 774.487164
+#> iter 10 value 774.487164
+#> iter 11 value 774.487130
+#> iter 12 value 774.487077
+#> iter 12 value 774.487077
+#> iter 12 value 774.487069
+#> final value 774.487069
+#> converged
+#> This is Run number 229
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.3476047 0.06034758 -1.002395 -12.139652 1
+#> 2 1 -6.20 -3.90 5.0253341 -0.97462922 -1.174666 -4.874629 1
+#> 3 1 -14.20 -5.80 1.9787679 1.85553392 -12.221232 -3.944466 2
+#> 4 1 -2.10 -13.20 0.7544058 5.70771000 -1.345594 -7.492290 1
+#> 5 1 -1.70 -4.30 -0.1644608 1.80539359 -1.864461 -2.494606 1
+#> 6 1 -6.90 -1.55 -0.2085016 0.88587599 -7.108502 -0.664124 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3980 -35300 8425
+#> initial value 998.131940
+#> iter 2 value 861.351832
+#> iter 3 value 845.557691
+#> iter 4 value 844.190153
+#> iter 5 value 800.030576
+#> iter 6 value 792.581504
+#> iter 7 value 791.488121
+#> iter 8 value 791.452715
+#> iter 9 value 791.452167
+#> iter 10 value 791.452031
+#> iter 11 value 791.451883
+#> iter 12 value 791.451786
+#> iter 12 value 791.451786
+#> iter 12 value 791.451786
+#> final value 791.451786
+#> converged
+#> This is Run number 230
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.61012389 2.1967122 -1.7398761 -10.003288 1
+#> 2 1 -6.20 -3.90 1.43976316 0.4304440 -4.7602368 -3.469556 2
+#> 3 1 -14.20 -5.80 -0.71785614 2.0145349 -14.9178561 -3.785465 2
+#> 4 1 -2.10 -13.20 0.04187654 -0.8844330 -2.0581235 -14.084433 1
+#> 5 1 -1.70 -4.30 0.75768673 -0.8960483 -0.9423133 -5.196048 1
+#> 6 1 -6.90 -1.55 -1.30695771 -0.1131472 -8.2069577 -1.663147 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -37150 9025
+#> initial value 998.131940
+#> iter 2 value 834.105507
+#> iter 3 value 816.605813
+#> iter 4 value 815.713186
+#> iter 5 value 775.763984
+#> iter 6 value 767.854580
+#> iter 7 value 766.952069
+#> iter 8 value 766.913096
+#> iter 9 value 766.912416
+#> iter 10 value 766.912264
+#> iter 11 value 766.912008
+#> iter 12 value 766.911823
+#> iter 12 value 766.911823
+#> iter 12 value 766.911823
+#> final value 766.911823
+#> converged
+#> This is Run number 231
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.16827061 0.4721674 -2.181729 -11.727833 1
+#> 2 1 -6.20 -3.90 -0.44011012 2.7785072 -6.640110 -1.121493 2
+#> 3 1 -14.20 -5.80 -0.06088043 1.2742445 -14.260880 -4.525755 2
+#> 4 1 -2.10 -13.20 -0.41934075 0.6170567 -2.519341 -12.582943 1
+#> 5 1 -1.70 -4.30 -0.64130981 0.5044677 -2.341310 -3.795532 1
+#> 6 1 -6.90 -1.55 -0.88892186 0.3666270 -7.788922 -1.183373 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -38550 9250
+#> initial value 998.131940
+#> iter 2 value 812.952560
+#> iter 3 value 810.740577
+#> iter 4 value 808.238683
+#> iter 5 value 757.667863
+#> iter 6 value 748.176439
+#> iter 7 value 746.592313
+#> iter 8 value 746.568208
+#> iter 9 value 746.567989
+#> iter 10 value 746.567875
+#> iter 10 value 746.567873
+#> iter 10 value 746.567872
+#> final value 746.567872
+#> converged
+#> This is Run number 232
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.6562666 0.7279654 -1.6937334 -11.4720346 1
+#> 2 1 -6.20 -3.90 -0.3315619 1.1393507 -6.5315619 -2.7606493 2
+#> 3 1 -14.20 -5.80 3.0002982 1.5335912 -11.1997018 -4.2664088 2
+#> 4 1 -2.10 -13.20 1.9653324 2.5459133 -0.1346676 -10.6540867 1
+#> 5 1 -1.70 -4.30 -0.9620042 2.0163120 -2.6620042 -2.2836880 2
+#> 6 1 -6.90 -1.55 1.9552861 0.6347921 -4.9447139 -0.9152079 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -37075 7600
+#> initial value 998.131940
+#> iter 2 value 844.198408
+#> iter 3 value 842.744285
+#> iter 4 value 839.295916
+#> iter 5 value 787.098577
+#> iter 6 value 777.617475
+#> iter 7 value 776.106609
+#> iter 8 value 776.080737
+#> iter 9 value 776.080530
+#> iter 10 value 776.080376
+#> iter 10 value 776.080376
+#> iter 11 value 776.080357
+#> iter 12 value 776.080331
+#> iter 12 value 776.080331
+#> iter 12 value 776.080325
+#> final value 776.080325
+#> converged
+#> This is Run number 233
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.77672651 0.07332117 -1.573273 -12.126679 1
+#> 2 1 -6.20 -3.90 0.78101133 2.91430997 -5.418989 -0.985690 2
+#> 3 1 -14.20 -5.80 -0.02314009 0.18009432 -14.223140 -5.619906 2
+#> 4 1 -2.10 -13.20 0.86328819 -0.44309015 -1.236712 -13.643090 1
+#> 5 1 -1.70 -4.30 -1.00193681 0.91426214 -2.701937 -3.385738 1
+#> 6 1 -6.90 -1.55 0.32296627 -0.96275018 -6.577034 -2.512750 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4560 -37900 8625
+#> initial value 998.131940
+#> iter 2 value 826.594068
+#> iter 3 value 825.472269
+#> iter 4 value 822.959707
+#> iter 5 value 771.329928
+#> iter 6 value 761.780075
+#> iter 7 value 760.239878
+#> iter 8 value 760.217148
+#> iter 9 value 760.217040
+#> iter 10 value 760.216722
+#> iter 11 value 760.216708
+#> iter 12 value 760.216661
+#> iter 12 value 760.216661
+#> iter 12 value 760.216661
+#> final value 760.216661
+#> converged
+#> This is Run number 234
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.57613146 0.1066032 -2.926131 -12.0933968 1
+#> 2 1 -6.20 -3.90 -0.07533067 0.8923694 -6.275331 -3.0076306 2
+#> 3 1 -14.20 -5.80 -0.21428682 2.8658044 -14.414287 -2.9341956 2
+#> 4 1 -2.10 -13.20 -0.07444164 2.7899533 -2.174442 -10.4100467 1
+#> 5 1 -1.70 -4.30 0.56680012 1.1422351 -1.133200 -3.1577649 1
+#> 6 1 -6.90 -1.55 0.82872452 0.9845114 -6.071275 -0.5654886 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -38000 7725
+#> initial value 998.131940
+#> iter 2 value 830.809529
+#> iter 3 value 827.814378
+#> iter 4 value 823.825890
+#> iter 5 value 774.691562
+#> iter 6 value 764.936060
+#> iter 7 value 763.438897
+#> iter 8 value 763.413680
+#> iter 9 value 763.413451
+#> iter 10 value 763.413380
+#> iter 10 value 763.413379
+#> iter 11 value 763.413363
+#> iter 12 value 763.413316
+#> iter 12 value 763.413314
+#> iter 12 value 763.413312
+#> final value 763.413312
+#> converged
+#> This is Run number 235
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.8609022 -0.3543153 -1.4890978 -12.554315 1
+#> 2 1 -6.20 -3.90 1.5331985 0.9031450 -4.6668015 -2.996855 2
+#> 3 1 -14.20 -5.80 3.0657897 1.2485331 -11.1342103 -4.551467 2
+#> 4 1 -2.10 -13.20 2.9493356 0.2997115 0.8493356 -12.900289 1
+#> 5 1 -1.70 -4.30 0.8355937 0.6438314 -0.8644063 -3.656169 1
+#> 6 1 -6.90 -1.55 -0.7399820 -0.3127829 -7.6399820 -1.862783 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -37275 6750
+#> initial value 998.131940
+#> iter 2 value 846.006023
+#> iter 3 value 841.262583
+#> iter 4 value 836.317886
+#> iter 5 value 786.577587
+#> iter 6 value 776.851900
+#> iter 7 value 775.236546
+#> iter 8 value 775.205536
+#> iter 9 value 775.205513
+#> iter 9 value 775.205509
+#> iter 9 value 775.205507
+#> final value 775.205507
+#> converged
+#> This is Run number 236
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.06900657 0.2463602 0.7190066 -11.953640 1
+#> 2 1 -6.20 -3.90 -0.36377570 -0.7264029 -6.5637757 -4.626403 2
+#> 3 1 -14.20 -5.80 -0.08543647 0.7455482 -14.2854365 -5.054452 2
+#> 4 1 -2.10 -13.20 0.14689917 -0.9700900 -1.9531008 -14.170090 1
+#> 5 1 -1.70 -4.30 -0.06712430 0.8552935 -1.7671243 -3.444707 1
+#> 6 1 -6.90 -1.55 -0.37561250 -0.8692690 -7.2756125 -2.419269 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5280 -39325 8075
+#> initial value 998.131940
+#> iter 2 value 809.507159
+#> iter 3 value 807.183957
+#> iter 4 value 805.272537
+#> iter 5 value 759.988338
+#> iter 6 value 749.980981
+#> iter 7 value 748.552081
+#> iter 8 value 748.527495
+#> iter 9 value 748.527405
+#> iter 10 value 748.526859
+#> iter 10 value 748.526852
+#> iter 11 value 748.526720
+#> iter 12 value 748.526698
+#> iter 13 value 748.526686
+#> iter 13 value 748.526682
+#> iter 13 value 748.526682
+#> final value 748.526682
+#> converged
+#> This is Run number 237
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.35073754 -1.1729103 -0.9992625 -13.3729103 1
+#> 2 1 -6.20 -3.90 1.78474880 1.9182288 -4.4152512 -1.9817712 2
+#> 3 1 -14.20 -5.80 -0.47908179 -0.4313195 -14.6790818 -6.2313195 2
+#> 4 1 -2.10 -13.20 0.48351782 0.4159895 -1.6164822 -12.7840105 1
+#> 5 1 -1.70 -4.30 0.01199428 -0.6818011 -1.6880057 -4.9818011 1
+#> 6 1 -6.90 -1.55 0.52393012 0.9461725 -6.3760699 -0.6038275 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5060 -36350 7325
+#> initial value 998.131940
+#> iter 2 value 855.477702
+#> iter 3 value 844.211536
+#> iter 4 value 843.519965
+#> iter 5 value 801.212878
+#> iter 6 value 793.128543
+#> iter 7 value 791.527456
+#> iter 8 value 791.474664
+#> iter 9 value 791.473891
+#> iter 10 value 791.473685
+#> iter 11 value 791.473411
+#> iter 12 value 791.473252
+#> iter 12 value 791.473252
+#> iter 12 value 791.473252
+#> final value 791.473252
+#> converged
+#> This is Run number 238
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.2945176 1.2785394 -1.0554824 -10.921461 1
+#> 2 1 -6.20 -3.90 1.9221402 -0.3283209 -4.2778598 -4.228321 2
+#> 3 1 -14.20 -5.80 -1.0257321 2.2361994 -15.2257321 -3.563801 2
+#> 4 1 -2.10 -13.20 1.2583617 0.3497378 -0.8416383 -12.850262 1
+#> 5 1 -1.70 -4.30 0.8480809 0.3766968 -0.8519191 -3.923303 1
+#> 6 1 -6.90 -1.55 -0.3289784 0.4087266 -7.2289784 -1.141273 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4460 -37075 8000
+#> initial value 998.131940
+#> iter 2 value 841.836768
+#> iter 3 value 841.304673
+#> iter 4 value 838.443149
+#> iter 5 value 785.284953
+#> iter 6 value 775.863089
+#> iter 7 value 774.349403
+#> iter 8 value 774.324587
+#> iter 9 value 774.324248
+#> iter 10 value 774.324196
+#> iter 11 value 774.324183
+#> iter 12 value 774.324058
+#> iter 12 value 774.324058
+#> iter 12 value 774.324058
+#> final value 774.324058
+#> converged
+#> This is Run number 239
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.1783481 0.28678833 -2.1716519 -11.913212 1
+#> 2 1 -6.20 -3.90 -0.7703255 -0.28859054 -6.9703255 -4.188591 2
+#> 3 1 -14.20 -5.80 0.3893850 1.71547328 -13.8106150 -4.084527 2
+#> 4 1 -2.10 -13.20 1.4587360 0.06386876 -0.6412640 -13.136131 1
+#> 5 1 -1.70 -4.30 1.9703241 3.17371512 0.2703241 -1.126285 1
+#> 6 1 -6.90 -1.55 1.8232117 3.46785428 -5.0767883 1.917854 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -37925 7650
+#> initial value 998.131940
+#> iter 2 value 832.493908
+#> iter 3 value 831.612845
+#> iter 4 value 829.445344
+#> iter 5 value 780.017732
+#> iter 6 value 770.214725
+#> iter 7 value 768.729649
+#> iter 8 value 768.701117
+#> iter 9 value 768.700775
+#> iter 10 value 768.700531
+#> iter 11 value 768.700510
+#> iter 12 value 768.700394
+#> iter 12 value 768.700394
+#> iter 12 value 768.700394
+#> final value 768.700394
+#> converged
+#> This is Run number 240
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.2070988 0.06965739 -0.1429012 -12.1303426 1
+#> 2 1 -6.20 -3.90 -1.0670426 -1.03099058 -7.2670426 -4.9309906 2
+#> 3 1 -14.20 -5.80 0.2969437 -0.51771517 -13.9030563 -6.3177152 2
+#> 4 1 -2.10 -13.20 0.6265145 -0.72090700 -1.4734855 -13.9209070 1
+#> 5 1 -1.70 -4.30 -0.4225846 1.30227959 -2.1225846 -2.9977204 1
+#> 6 1 -6.90 -1.55 0.4264199 1.67028352 -6.4735801 0.1202835 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5320 -39650 7650
+#> initial value 998.131940
+#> iter 2 value 807.105776
+#> iter 3 value 803.882030
+#> iter 4 value 801.168408
+#> iter 5 value 757.958370
+#> iter 6 value 747.813651
+#> iter 7 value 746.423783
+#> iter 8 value 746.398119
+#> iter 9 value 746.397852
+#> iter 10 value 746.397539
+#> iter 10 value 746.397536
+#> iter 11 value 746.397505
+#> iter 12 value 746.397421
+#> iter 13 value 746.397409
+#> iter 14 value 746.397394
+#> iter 14 value 746.397393
+#> iter 14 value 746.397393
+#> final value 746.397393
+#> converged
+#> This is Run number 241
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.2343132 2.7430822 0.8843132 -9.4569178 1
+#> 2 1 -6.20 -3.90 1.7514500 0.2686245 -4.4485500 -3.6313755 2
+#> 3 1 -14.20 -5.80 1.7276140 1.6995864 -12.4723860 -4.1004136 2
+#> 4 1 -2.10 -13.20 1.6426924 0.1917824 -0.4573076 -13.0082176 1
+#> 5 1 -1.70 -4.30 2.6579869 0.3651781 0.9579869 -3.9348219 1
+#> 6 1 -6.90 -1.55 0.9294552 1.1395428 -5.9705448 -0.4104572 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4220 -37125 7300
+#> initial value 998.131940
+#> iter 2 value 845.043203
+#> iter 3 value 841.542907
+#> iter 4 value 836.828556
+#> iter 5 value 785.539046
+#> iter 6 value 775.982584
+#> iter 7 value 774.431668
+#> iter 8 value 774.405440
+#> iter 9 value 774.405375
+#> iter 10 value 774.405333
+#> iter 10 value 774.405331
+#> iter 10 value 774.405327
+#> final value 774.405327
+#> converged
+#> This is Run number 242
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.89544520 1.1578822 -1.4545548 -11.042118 1
+#> 2 1 -6.20 -3.90 1.11566543 -1.0685621 -5.0843346 -4.968562 2
+#> 3 1 -14.20 -5.80 -0.08291291 1.5410772 -14.2829129 -4.258923 2
+#> 4 1 -2.10 -13.20 2.84154000 0.3777172 0.7415400 -12.822283 1
+#> 5 1 -1.70 -4.30 0.76117726 1.0133436 -0.9388227 -3.286656 1
+#> 6 1 -6.90 -1.55 -0.30470940 0.4522350 -7.2047094 -1.097765 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4860 -38200 8100
+#> initial value 998.131940
+#> iter 2 value 825.850112
+#> iter 3 value 824.451531
+#> iter 4 value 822.097550
+#> iter 5 value 772.701606
+#> iter 6 value 762.932969
+#> iter 7 value 761.446672
+#> iter 8 value 761.421595
+#> iter 9 value 761.421247
+#> iter 10 value 761.421037
+#> iter 11 value 761.421019
+#> iter 12 value 761.420937
+#> iter 12 value 761.420937
+#> iter 12 value 761.420937
+#> final value 761.420937
+#> converged
+#> This is Run number 243
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.80289733 2.3190678725 -1.547103 -9.880932 1
+#> 2 1 -6.20 -3.90 -0.06479988 0.5804386897 -6.264800 -3.319561 2
+#> 3 1 -14.20 -5.80 0.15568816 0.5206998146 -14.044312 -5.279300 2
+#> 4 1 -2.10 -13.20 4.79622144 0.5605024008 2.696221 -12.639498 1
+#> 5 1 -1.70 -4.30 0.37084398 0.3659471744 -1.329156 -3.934053 1
+#> 6 1 -6.90 -1.55 -0.65688212 0.0005944527 -7.556882 -1.549406 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -38275 7175
+#> initial value 998.131940
+#> iter 2 value 830.213683
+#> iter 3 value 827.847365
+#> iter 4 value 824.660784
+#> iter 5 value 777.543238
+#> iter 6 value 767.574103
+#> iter 7 value 766.082779
+#> iter 8 value 766.053095
+#> iter 9 value 766.052959
+#> iter 10 value 766.052768
+#> iter 10 value 766.052767
+#> iter 11 value 766.052718
+#> iter 12 value 766.052693
+#> iter 12 value 766.052684
+#> iter 12 value 766.052678
+#> final value 766.052678
+#> converged
+#> This is Run number 244
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.7374863 -1.7841795 -0.6125137 -13.9841795 1
+#> 2 1 -6.20 -3.90 1.2681919 4.4311791 -4.9318081 0.5311791 2
+#> 3 1 -14.20 -5.80 -0.9198659 -1.3338836 -15.1198659 -7.1338836 2
+#> 4 1 -2.10 -13.20 3.0491093 -0.2883479 0.9491093 -13.4883479 1
+#> 5 1 -1.70 -4.30 1.2145476 1.0413194 -0.4854524 -3.2586806 1
+#> 6 1 -6.90 -1.55 0.7897933 2.0323293 -6.1102067 0.4823293 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -35400 7900
+#> initial value 998.131940
+#> iter 2 value 863.721718
+#> iter 3 value 850.141443
+#> iter 4 value 849.104956
+#> iter 5 value 805.064294
+#> iter 6 value 797.452035
+#> iter 7 value 796.163852
+#> iter 8 value 796.124375
+#> iter 9 value 796.123798
+#> iter 10 value 796.123637
+#> iter 11 value 796.123440
+#> iter 12 value 796.123327
+#> iter 12 value 796.123327
+#> iter 12 value 796.123327
+#> final value 796.123327
+#> converged
+#> This is Run number 245
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.19440633 -0.41301540 0.8444063 -12.613015 1
+#> 2 1 -6.20 -3.90 0.94827336 1.38310947 -5.2517266 -2.516891 2
+#> 3 1 -14.20 -5.80 -1.15488533 1.85201664 -15.3548853 -3.947983 2
+#> 4 1 -2.10 -13.20 -0.71407583 1.47823072 -2.8140758 -11.721769 1
+#> 5 1 -1.70 -4.30 1.89396201 1.66492594 0.1939620 -2.635074 1
+#> 6 1 -6.90 -1.55 -0.06012311 -0.09178225 -6.9601231 -1.641782 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -35700 7775
+#> initial value 998.131940
+#> iter 2 value 861.009295
+#> iter 3 value 848.537322
+#> iter 4 value 848.144897
+#> iter 5 value 805.226327
+#> iter 6 value 797.441832
+#> iter 7 value 796.147782
+#> iter 8 value 796.111376
+#> iter 9 value 796.110894
+#> iter 10 value 796.110724
+#> iter 11 value 796.110491
+#> iter 12 value 796.110364
+#> iter 12 value 796.110364
+#> iter 12 value 796.110364
+#> final value 796.110364
+#> converged
+#> This is Run number 246
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.4211629 -0.4670171 -0.9288371 -12.667017 1
+#> 2 1 -6.20 -3.90 1.3642335 1.0634425 -4.8357665 -2.836557 2
+#> 3 1 -14.20 -5.80 -0.1407627 -0.6584476 -14.3407627 -6.458448 2
+#> 4 1 -2.10 -13.20 5.0803110 -0.1165087 2.9803110 -13.316509 1
+#> 5 1 -1.70 -4.30 -0.3237473 -0.2534970 -2.0237473 -4.553497 1
+#> 6 1 -6.90 -1.55 -0.3267394 -1.5831361 -7.2267394 -3.133136 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4640 -37325 8075
+#> initial value 998.131940
+#> iter 2 value 838.103580
+#> iter 3 value 837.846563
+#> iter 4 value 835.499652
+#> iter 5 value 783.028829
+#> iter 6 value 773.513889
+#> iter 7 value 772.003318
+#> iter 8 value 771.977959
+#> iter 9 value 771.977570
+#> iter 10 value 771.977517
+#> iter 10 value 771.977516
+#> iter 11 value 771.977406
+#> iter 12 value 771.977381
+#> iter 12 value 771.977375
+#> iter 13 value 771.977354
+#> iter 13 value 771.977350
+#> iter 13 value 771.977349
+#> final value 771.977349
+#> converged
+#> This is Run number 247
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.3959167 2.2706722 -2.7459167 -9.929328 1
+#> 2 1 -6.20 -3.90 -1.3521366 0.9617223 -7.5521366 -2.938278 2
+#> 3 1 -14.20 -5.80 0.2731979 0.5496064 -13.9268021 -5.250394 2
+#> 4 1 -2.10 -13.20 0.4483795 0.2512043 -1.6516205 -12.948796 1
+#> 5 1 -1.70 -4.30 1.2282968 1.7412562 -0.4717032 -2.558744 1
+#> 6 1 -6.90 -1.55 1.4250086 -0.7443913 -5.4749914 -2.294391 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4100 -37750 8175
+#> initial value 998.131940
+#> iter 2 value 831.237477
+#> iter 3 value 827.393848
+#> iter 4 value 822.370617
+#> iter 5 value 771.518197
+#> iter 6 value 761.960920
+#> iter 7 value 760.406305
+#> iter 8 value 760.383028
+#> iter 9 value 760.382981
+#> iter 10 value 760.382818
+#> iter 10 value 760.382818
+#> iter 10 value 760.382807
+#> final value 760.382807
+#> converged
+#> This is Run number 248
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.01346409 0.6818874 -1.336536 -11.5181126 1
+#> 2 1 -6.20 -3.90 -0.57800453 -0.2467242 -6.778005 -4.1467242 2
+#> 3 1 -14.20 -5.80 0.41616299 -0.3872476 -13.783837 -6.1872476 2
+#> 4 1 -2.10 -13.20 -0.03474797 -0.9544492 -2.134748 -14.1544492 1
+#> 5 1 -1.70 -4.30 -0.84659199 0.8223439 -2.546592 -3.4776561 1
+#> 6 1 -6.90 -1.55 -1.03292094 1.4418269 -7.932921 -0.1081731 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -38525 8050
+#> initial value 998.131940
+#> iter 2 value 821.502531
+#> iter 3 value 819.614231
+#> iter 4 value 817.171445
+#> iter 5 value 769.061986
+#> iter 6 value 759.207915
+#> iter 7 value 757.738131
+#> iter 8 value 757.713088
+#> iter 9 value 757.712770
+#> iter 10 value 757.712539
+#> iter 10 value 757.712529
+#> iter 11 value 757.712481
+#> iter 12 value 757.712434
+#> iter 12 value 757.712433
+#> iter 12 value 757.712424
+#> final value 757.712424
+#> converged
+#> This is Run number 249
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.675063313 -0.354143238 -1.674937 -12.5541432 1
+#> 2 1 -6.20 -3.90 0.016680353 -0.181195330 -6.183320 -4.0811953 2
+#> 3 1 -14.20 -5.80 1.119773706 -0.007716459 -13.080226 -5.8077165 2
+#> 4 1 -2.10 -13.20 -1.019716587 0.813660684 -3.119717 -12.3863393 1
+#> 5 1 -1.70 -4.30 -0.009039244 -0.046969906 -1.709039 -4.3469699 1
+#> 6 1 -6.90 -1.55 -0.598067427 1.224129456 -7.498067 -0.3258705 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4460 -34550 8075
+#> initial value 998.131940
+#> iter 2 value 872.690871
+#> iter 3 value 859.124817
+#> iter 4 value 858.728678
+#> iter 5 value 814.269957
+#> iter 6 value 807.053891
+#> iter 7 value 805.962897
+#> iter 8 value 805.937509
+#> iter 9 value 805.937216
+#> iter 10 value 805.937102
+#> iter 11 value 805.936938
+#> iter 12 value 805.936854
+#> iter 12 value 805.936854
+#> iter 12 value 805.936854
+#> final value 805.936854
+#> converged
+#> This is Run number 250
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.6737905 0.5366978 -3.023790 -11.6633022 1
+#> 2 1 -6.20 -3.90 -1.0552016 1.4407607 -7.255202 -2.4592393 2
+#> 3 1 -14.20 -5.80 0.6952433 1.9591203 -13.504757 -3.8408797 2
+#> 4 1 -2.10 -13.20 0.9222169 0.9959376 -1.177783 -12.2040624 1
+#> 5 1 -1.70 -4.30 -0.2940708 -1.1843768 -1.994071 -5.4843768 1
+#> 6 1 -6.90 -1.55 0.7387849 1.2373763 -6.161215 -0.3126237 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -36550 6675
+#> initial value 998.131940
+#> iter 2 value 856.304166
+#> iter 3 value 855.826251
+#> iter 4 value 853.267279
+#> iter 5 value 801.359351
+#> iter 6 value 791.997910
+#> iter 7 value 790.416992
+#> iter 8 value 790.384328
+#> iter 9 value 790.384231
+#> iter 10 value 790.384021
+#> iter 10 value 790.384020
+#> iter 10 value 790.384015
+#> final value 790.384015
+#> converged
+#> This is Run number 251
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.35574548 -0.426004759 -3.705745 -12.626005 1
+#> 2 1 -6.20 -3.90 -0.06524111 -0.096986246 -6.265241 -3.996986 2
+#> 3 1 -14.20 -5.80 -0.10959214 1.202041309 -14.309592 -4.597959 2
+#> 4 1 -2.10 -13.20 -0.47824362 2.074851064 -2.578244 -11.125149 1
+#> 5 1 -1.70 -4.30 -0.44198468 0.004047382 -2.141985 -4.295953 1
+#> 6 1 -6.90 -1.55 2.10722232 -0.689602931 -4.792778 -2.239603 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4740 -38550 7200
+#> initial value 998.131940
+#> iter 2 value 826.008514
+#> iter 3 value 821.717030
+#> iter 4 value 817.124282
+#> iter 5 value 771.120170
+#> iter 6 value 761.100213
+#> iter 7 value 759.605856
+#> iter 8 value 759.577883
+#> iter 9 value 759.577777
+#> iter 9 value 759.577766
+#> iter 9 value 759.577763
+#> final value 759.577763
+#> converged
+#> This is Run number 252
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.7543915 -0.3203302 -0.5956085 -12.5203302 1
+#> 2 1 -6.20 -3.90 -0.2707458 0.7089252 -6.4707458 -3.1910748 2
+#> 3 1 -14.20 -5.80 -0.5215159 -0.3763422 -14.7215159 -6.1763422 2
+#> 4 1 -2.10 -13.20 1.1762452 2.2905682 -0.9237548 -10.9094318 1
+#> 5 1 -1.70 -4.30 0.8568102 0.2498012 -0.8431898 -4.0501988 1
+#> 6 1 -6.90 -1.55 0.1403917 1.4049789 -6.7596083 -0.1450211 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5380 -39450 8050
+#> initial value 998.131940
+#> iter 2 value 807.753579
+#> iter 3 value 805.501039
+#> iter 4 value 803.795725
+#> iter 5 value 759.008537
+#> iter 6 value 748.966950
+#> iter 7 value 747.546132
+#> iter 8 value 747.521413
+#> iter 9 value 747.521312
+#> iter 10 value 747.520745
+#> iter 10 value 747.520734
+#> iter 11 value 747.520599
+#> iter 12 value 747.520576
+#> iter 13 value 747.520560
+#> iter 13 value 747.520558
+#> iter 13 value 747.520558
+#> final value 747.520558
+#> converged
+#> This is Run number 253
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.5651526 2.2172693 -2.9151526 -9.982731 1
+#> 2 1 -6.20 -3.90 -0.7417840 -0.1839346 -6.9417840 -4.083935 2
+#> 3 1 -14.20 -5.80 1.4079297 1.4395377 -12.7920703 -4.360462 2
+#> 4 1 -2.10 -13.20 1.9313503 -0.1102003 -0.1686497 -13.310200 1
+#> 5 1 -1.70 -4.30 -0.1645268 0.2509864 -1.8645268 -4.049014 1
+#> 6 1 -6.90 -1.55 1.4543051 0.4214847 -5.4456949 -1.128515 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5620 -37875 6300
+#> initial value 998.131940
+#> iter 2 value 840.318574
+#> iter 3 value 839.756244
+#> iter 4 value 837.988288
+#> iter 5 value 791.189724
+#> iter 6 value 781.276146
+#> iter 7 value 779.590586
+#> iter 8 value 779.547364
+#> iter 9 value 779.547197
+#> iter 10 value 779.546984
+#> iter 10 value 779.546984
+#> iter 11 value 779.546945
+#> iter 12 value 779.546920
+#> iter 12 value 779.546920
+#> iter 12 value 779.546919
+#> final value 779.546919
+#> converged
+#> This is Run number 254
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.7303440 1.91143748 -3.080344 -10.2885625 1
+#> 2 1 -6.20 -3.90 0.8262939 3.08966653 -5.373706 -0.8103335 2
+#> 3 1 -14.20 -5.80 1.3964165 0.32091622 -12.803583 -5.4790838 2
+#> 4 1 -2.10 -13.20 -0.4686648 -0.86700709 -2.568665 -14.0670071 1
+#> 5 1 -1.70 -4.30 -0.5282651 -0.23292143 -2.228265 -4.5329214 1
+#> 6 1 -6.90 -1.55 3.0534335 -0.06342435 -3.846567 -1.6134244 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5580 -38175 6850
+#> initial value 998.131940
+#> iter 2 value 833.361684
+#> iter 3 value 832.933578
+#> iter 4 value 831.446188
+#> iter 5 value 784.528875
+#> iter 6 value 774.504223
+#> iter 7 value 772.950464
+#> iter 8 value 772.912456
+#> iter 9 value 772.912262
+#> iter 10 value 772.911788
+#> iter 10 value 772.911777
+#> iter 11 value 772.911754
+#> iter 12 value 772.911700
+#> iter 12 value 772.911698
+#> iter 12 value 772.911696
+#> final value 772.911696
+#> converged
+#> This is Run number 255
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.66801453 -1.07769098 -0.6819855 -13.277691 1
+#> 2 1 -6.20 -3.90 -0.80293569 -0.84698522 -7.0029357 -4.746985 2
+#> 3 1 -14.20 -5.80 0.03256312 0.19592351 -14.1674369 -5.604076 2
+#> 4 1 -2.10 -13.20 -0.50600387 -1.00538403 -2.6060039 -14.205384 1
+#> 5 1 -1.70 -4.30 0.25586647 -0.33696877 -1.4441335 -4.636969 1
+#> 6 1 -6.90 -1.55 -0.10996734 0.05244321 -7.0099673 -1.497557 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5160 -37475 7625
+#> initial value 998.131940
+#> iter 2 value 838.891743
+#> iter 3 value 826.623182
+#> iter 4 value 825.813382
+#> iter 5 value 785.958153
+#> iter 6 value 777.475745
+#> iter 7 value 775.999707
+#> iter 8 value 775.941633
+#> iter 9 value 775.940613
+#> iter 10 value 775.940396
+#> iter 11 value 775.940136
+#> iter 12 value 775.939946
+#> iter 12 value 775.939946
+#> iter 12 value 775.939946
+#> final value 775.939946
+#> converged
+#> This is Run number 256
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.67534494 -1.0501892 -3.0253449 -13.250189 1
+#> 2 1 -6.20 -3.90 1.60735572 0.2543263 -4.5926443 -3.645674 2
+#> 3 1 -14.20 -5.80 1.71064006 0.4454262 -12.4893599 -5.354574 2
+#> 4 1 -2.10 -13.20 -0.81746349 -0.5347361 -2.9174635 -13.734736 1
+#> 5 1 -1.70 -4.30 0.73245545 -0.4573337 -0.9675446 -4.757334 1
+#> 6 1 -6.90 -1.55 0.05082333 -0.6406013 -6.8491767 -2.190601 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -36125 7675
+#> initial value 998.131940
+#> iter 2 value 856.185337
+#> iter 3 value 843.183098
+#> iter 4 value 841.846232
+#> iter 5 value 798.705347
+#> iter 6 value 790.755002
+#> iter 7 value 789.285494
+#> iter 8 value 789.234249
+#> iter 9 value 789.233455
+#> iter 10 value 789.233293
+#> iter 11 value 789.233105
+#> iter 12 value 789.232981
+#> iter 12 value 789.232981
+#> iter 12 value 789.232981
+#> final value 789.232981
+#> converged
+#> This is Run number 257
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.3828843 -1.28299968 -1.967116 -13.483000 1
+#> 2 1 -6.20 -3.90 1.4373883 1.56690704 -4.762612 -2.333093 2
+#> 3 1 -14.20 -5.80 0.4611053 0.19804591 -13.738895 -5.601954 2
+#> 4 1 -2.10 -13.20 0.2877794 -1.24220136 -1.812221 -14.442201 1
+#> 5 1 -1.70 -4.30 -0.9626279 0.06948724 -2.662628 -4.230513 1
+#> 6 1 -6.90 -1.55 -0.8353488 0.29029210 -7.735349 -1.259708 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4500 -36775 8175
+#> initial value 998.131940
+#> iter 2 value 844.760231
+#> iter 3 value 830.071996
+#> iter 4 value 828.726098
+#> iter 5 value 787.161650
+#> iter 6 value 779.064801
+#> iter 7 value 777.807394
+#> iter 8 value 777.758604
+#> iter 9 value 777.757748
+#> iter 10 value 777.757582
+#> iter 11 value 777.757408
+#> iter 12 value 777.757274
+#> iter 12 value 777.757274
+#> iter 12 value 777.757274
+#> final value 777.757274
+#> converged
+#> This is Run number 258
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.63059651 -0.1028855 -2.980597 -12.3028855 1
+#> 2 1 -6.20 -3.90 -0.03358859 3.4414384 -6.233589 -0.4585616 2
+#> 3 1 -14.20 -5.80 1.75005727 -0.9720768 -12.449943 -6.7720768 2
+#> 4 1 -2.10 -13.20 0.58754051 -0.7065826 -1.512459 -13.9065826 1
+#> 5 1 -1.70 -4.30 0.02168703 1.9600223 -1.678313 -2.3399777 1
+#> 6 1 -6.90 -1.55 2.38244858 -0.2154154 -4.517551 -1.7654154 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4120 -36500 9400
+#> initial value 998.131940
+#> iter 2 value 839.811453
+#> iter 3 value 820.781442
+#> iter 4 value 819.937936
+#> iter 5 value 779.144524
+#> iter 6 value 771.618301
+#> iter 7 value 770.836833
+#> iter 8 value 770.805061
+#> iter 9 value 770.804563
+#> iter 10 value 770.804379
+#> iter 11 value 770.804124
+#> iter 12 value 770.803998
+#> iter 12 value 770.803998
+#> iter 12 value 770.803998
+#> final value 770.803998
+#> converged
+#> This is Run number 259
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.9529708 -0.5702410 -1.397029 -12.770241 1
+#> 2 1 -6.20 -3.90 1.3823365 1.8521584 -4.817664 -2.047842 2
+#> 3 1 -14.20 -5.80 -0.6998242 0.9640390 -14.899824 -4.835961 2
+#> 4 1 -2.10 -13.20 -0.2242287 0.9418883 -2.324229 -12.258112 1
+#> 5 1 -1.70 -4.30 -0.9306554 0.8394361 -2.630655 -3.460564 1
+#> 6 1 -6.90 -1.55 0.4112747 -0.2651830 -6.488725 -1.815183 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4860 -38175 7575
+#> initial value 998.131940
+#> iter 2 value 829.356045
+#> iter 3 value 827.237087
+#> iter 4 value 824.174926
+#> iter 5 value 775.860460
+#> iter 6 value 765.998534
+#> iter 7 value 764.521306
+#> iter 8 value 764.494171
+#> iter 9 value 764.493838
+#> iter 10 value 764.493724
+#> iter 10 value 764.493724
+#> iter 11 value 764.493702
+#> iter 12 value 764.493636
+#> iter 12 value 764.493636
+#> iter 12 value 764.493633
+#> final value 764.493633
+#> converged
+#> This is Run number 260
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.3154995 -0.9482555 -2.665500 -13.148256 1
+#> 2 1 -6.20 -3.90 -0.5864451 2.5955753 -6.786445 -1.304425 2
+#> 3 1 -14.20 -5.80 0.5288345 1.7725477 -13.671165 -4.027452 2
+#> 4 1 -2.10 -13.20 1.5139850 0.6695697 -0.586015 -12.530430 1
+#> 5 1 -1.70 -4.30 -0.4281403 0.1615318 -2.128140 -4.138468 1
+#> 6 1 -6.90 -1.55 -0.2336292 -1.2261673 -7.133629 -2.776167 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -38125 9050
+#> initial value 998.131940
+#> iter 2 value 820.610838
+#> iter 3 value 820.281970
+#> iter 4 value 818.908529
+#> iter 5 value 767.173012
+#> iter 6 value 757.601195
+#> iter 7 value 756.042654
+#> iter 8 value 756.021016
+#> iter 9 value 756.020830
+#> iter 10 value 756.020627
+#> iter 10 value 756.020617
+#> iter 11 value 756.020584
+#> iter 12 value 756.020562
+#> iter 12 value 756.020556
+#> iter 12 value 756.020550
+#> final value 756.020550
+#> converged
+#> This is Run number 261
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.95104985 -0.4310288 -1.398950 -12.6310288 1
+#> 2 1 -6.20 -3.90 0.17441897 -0.5800786 -6.025581 -4.4800786 2
+#> 3 1 -14.20 -5.80 2.08681824 -1.3266877 -12.113182 -7.1266877 2
+#> 4 1 -2.10 -13.20 -0.12456566 0.7619312 -2.224566 -12.4380688 1
+#> 5 1 -1.70 -4.30 -0.17299350 0.3018050 -1.872993 -3.9981950 1
+#> 6 1 -6.90 -1.55 -0.03823451 1.2993148 -6.938235 -0.2506852 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5160 -38475 8100
+#> initial value 998.131940
+#> iter 2 value 821.949253
+#> iter 3 value 821.011750
+#> iter 4 value 819.456812
+#> iter 5 value 771.042176
+#> iter 6 value 761.161193
+#> iter 7 value 759.685103
+#> iter 8 value 759.659196
+#> iter 9 value 759.658799
+#> iter 10 value 759.658581
+#> iter 11 value 759.658532
+#> iter 12 value 759.658424
+#> iter 12 value 759.658424
+#> iter 12 value 759.658424
+#> final value 759.658424
+#> converged
+#> This is Run number 262
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.7064619 2.0096444 -1.643538 -10.190356 1
+#> 2 1 -6.20 -3.90 1.3205672 0.1436868 -4.879433 -3.756313 2
+#> 3 1 -14.20 -5.80 1.2144921 0.5944948 -12.985508 -5.205505 2
+#> 4 1 -2.10 -13.20 -0.5755310 0.8272430 -2.675531 -12.372757 1
+#> 5 1 -1.70 -4.30 -0.2975813 -1.2849693 -1.997581 -5.584969 1
+#> 6 1 -6.90 -1.55 -0.9083996 1.3951720 -7.808400 -0.154828 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4960 -37725 8425
+#> initial value 998.131940
+#> iter 2 value 830.492831
+#> iter 3 value 815.599456
+#> iter 4 value 814.979245
+#> iter 5 value 776.162255
+#> iter 6 value 767.800039
+#> iter 7 value 766.725441
+#> iter 8 value 766.680067
+#> iter 9 value 766.679210
+#> iter 10 value 766.679164
+#> iter 11 value 766.678874
+#> iter 12 value 766.678505
+#> iter 12 value 766.678505
+#> iter 12 value 766.678505
+#> final value 766.678505
+#> converged
+#> This is Run number 263
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.1122481 -0.08075542 -2.462248 -12.2807554 1
+#> 2 1 -6.20 -3.90 -1.2107533 0.17632669 -7.410753 -3.7236733 2
+#> 3 1 -14.20 -5.80 2.1538025 -0.10911869 -12.046197 -5.9091187 2
+#> 4 1 -2.10 -13.20 -0.9958497 -1.08144334 -3.095850 -14.2814433 1
+#> 5 1 -1.70 -4.30 -0.6229861 1.79538750 -2.322986 -2.5046125 1
+#> 6 1 -6.90 -1.55 2.1347198 1.04684593 -4.765280 -0.5031541 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4560 -36375 7925
+#> initial value 998.131940
+#> iter 2 value 851.526507
+#> iter 3 value 837.809206
+#> iter 4 value 836.608832
+#> iter 5 value 794.243787
+#> iter 6 value 786.234732
+#> iter 7 value 784.888406
+#> iter 8 value 784.840226
+#> iter 9 value 784.839434
+#> iter 10 value 784.839261
+#> iter 11 value 784.839064
+#> iter 12 value 784.838929
+#> iter 12 value 784.838929
+#> iter 12 value 784.838929
+#> final value 784.838929
+#> converged
+#> This is Run number 264
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.8148613 -1.4854678 -3.1648613 -13.685468 1
+#> 2 1 -6.20 -3.90 1.7163049 -1.2015542 -4.4836951 -5.101554 1
+#> 3 1 -14.20 -5.80 1.5685297 1.0586762 -12.6314703 -4.741324 2
+#> 4 1 -2.10 -13.20 0.5167421 0.4533081 -1.5832579 -12.746692 1
+#> 5 1 -1.70 -4.30 1.7469247 -0.3183840 0.0469247 -4.618384 1
+#> 6 1 -6.90 -1.55 0.2983296 -0.2016370 -6.6016704 -1.751637 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4920 -39150 7725
+#> initial value 998.131940
+#> iter 2 value 814.220916
+#> iter 3 value 810.360705
+#> iter 4 value 806.607949
+#> iter 5 value 761.602464
+#> iter 6 value 751.584065
+#> iter 7 value 750.151405
+#> iter 8 value 750.126374
+#> iter 9 value 750.126266
+#> iter 10 value 750.125978
+#> iter 10 value 750.125967
+#> iter 11 value 750.125926
+#> iter 12 value 750.125905
+#> iter 13 value 750.125890
+#> iter 13 value 750.125885
+#> iter 13 value 750.125884
+#> final value 750.125884
+#> converged
+#> This is Run number 265
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.2283242 0.6513222 -2.1216758 -11.5486778 1
+#> 2 1 -6.20 -3.90 -0.7800968 0.8473252 -6.9800968 -3.0526748 2
+#> 3 1 -14.20 -5.80 0.2469707 0.1323707 -13.9530293 -5.6676293 2
+#> 4 1 -2.10 -13.20 -0.2966443 -1.0750012 -2.3966443 -14.2750012 1
+#> 5 1 -1.70 -4.30 0.9565836 0.1384165 -0.7434164 -4.1615835 1
+#> 6 1 -6.90 -1.55 0.7973541 2.5471965 -6.1026459 0.9971965 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4200 -37700 8925
+#> initial value 998.131940
+#> iter 2 value 827.113561
+#> iter 3 value 825.467210
+#> iter 4 value 822.067160
+#> iter 5 value 769.081762
+#> iter 6 value 759.696170
+#> iter 7 value 758.099541
+#> iter 8 value 758.076916
+#> iter 9 value 758.076818
+#> iter 10 value 758.076660
+#> iter 10 value 758.076658
+#> iter 11 value 758.076640
+#> iter 11 value 758.076630
+#> iter 11 value 758.076630
+#> final value 758.076630
+#> converged
+#> This is Run number 266
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.04988001 0.9639194 -2.300120 -11.2360806 1
+#> 2 1 -6.20 -3.90 -1.17592102 -0.2901711 -7.375921 -4.1901711 2
+#> 3 1 -14.20 -5.80 1.55538326 1.4798673 -12.644617 -4.3201327 2
+#> 4 1 -2.10 -13.20 0.23459976 1.0964539 -1.865400 -12.1035461 1
+#> 5 1 -1.70 -4.30 -0.39103993 3.8455579 -2.091040 -0.4544421 2
+#> 6 1 -6.90 -1.55 0.05794937 1.9561793 -6.842051 0.4061793 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -38375 8000
+#> initial value 998.131940
+#> iter 2 value 823.894177
+#> iter 3 value 821.243907
+#> iter 4 value 817.903597
+#> iter 5 value 769.455472
+#> iter 6 value 759.657090
+#> iter 7 value 758.176145
+#> iter 8 value 758.151645
+#> iter 9 value 758.151426
+#> iter 10 value 758.151344
+#> iter 10 value 758.151344
+#> iter 11 value 758.151267
+#> iter 12 value 758.151160
+#> iter 12 value 758.151160
+#> iter 13 value 758.151144
+#> iter 13 value 758.151135
+#> iter 13 value 758.151135
+#> final value 758.151135
+#> converged
+#> This is Run number 267
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.828903057 -0.1824931 -0.5210969 -12.3824931 1
+#> 2 1 -6.20 -3.90 0.441459107 4.6791642 -5.7585409 0.7791642 2
+#> 3 1 -14.20 -5.80 0.095236506 3.4767301 -14.1047635 -2.3232699 2
+#> 4 1 -2.10 -13.20 0.020543487 -0.6294502 -2.0794565 -13.8294502 1
+#> 5 1 -1.70 -4.30 -0.008758834 0.2029718 -1.7087588 -4.0970282 1
+#> 6 1 -6.90 -1.55 -1.692136742 -0.3424918 -8.5921367 -1.8924918 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5020 -36675 7850
+#> initial value 998.131940
+#> iter 2 value 848.233821
+#> iter 3 value 835.441413
+#> iter 4 value 834.940109
+#> iter 5 value 793.791188
+#> iter 6 value 785.620153
+#> iter 7 value 784.309815
+#> iter 8 value 784.265680
+#> iter 9 value 784.264976
+#> iter 10 value 784.264767
+#> iter 11 value 784.264495
+#> iter 12 value 784.264325
+#> iter 12 value 784.264325
+#> iter 12 value 784.264325
+#> final value 784.264325
+#> converged
+#> This is Run number 268
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.2309816 0.6199279 -3.58098162 -11.5800721 1
+#> 2 1 -6.20 -3.90 -0.2565846 1.0923968 -6.45658461 -2.8076032 2
+#> 3 1 -14.20 -5.80 -0.1506538 0.4196866 -14.35065376 -5.3803134 2
+#> 4 1 -2.10 -13.20 -0.1869117 -1.0559504 -2.28691167 -14.2559504 1
+#> 5 1 -1.70 -4.30 1.6637279 -0.2638964 -0.03627212 -4.5638964 1
+#> 6 1 -6.90 -1.55 1.4635455 0.9208483 -5.43645455 -0.6291517 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4020 -35875 7950
+#> initial value 998.131940
+#> iter 2 value 857.302590
+#> iter 3 value 842.593746
+#> iter 4 value 840.429176
+#> iter 5 value 796.041655
+#> iter 6 value 788.226637
+#> iter 7 value 786.835305
+#> iter 8 value 786.784962
+#> iter 9 value 786.784224
+#> iter 10 value 786.784124
+#> iter 11 value 786.784043
+#> iter 12 value 786.783972
+#> iter 12 value 786.783972
+#> iter 12 value 786.783972
+#> final value 786.783972
+#> converged
+#> This is Run number 269
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.4071624 4.7951792 -2.7571624 -7.404821 1
+#> 2 1 -6.20 -3.90 -0.2358374 0.2047911 -6.4358374 -3.695209 2
+#> 3 1 -14.20 -5.80 2.3787943 -0.6797464 -11.8212057 -6.479746 2
+#> 4 1 -2.10 -13.20 1.1462626 0.8334918 -0.9537374 -12.366508 1
+#> 5 1 -1.70 -4.30 0.4521959 -0.4411602 -1.2478041 -4.741160 1
+#> 6 1 -6.90 -1.55 0.5487390 0.5310566 -6.3512610 -1.018943 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -36200 8725
+#> initial value 998.131940
+#> iter 2 value 848.634824
+#> iter 3 value 832.650705
+#> iter 4 value 832.150745
+#> iter 5 value 790.763260
+#> iter 6 value 783.004880
+#> iter 7 value 782.070269
+#> iter 8 value 782.039690
+#> iter 9 value 782.039192
+#> iter 10 value 782.039015
+#> iter 11 value 782.038771
+#> iter 12 value 782.038626
+#> iter 12 value 782.038626
+#> iter 12 value 782.038626
+#> final value 782.038626
+#> converged
+#> This is Run number 270
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.233550199 0.1655327 -2.583550 -12.0344673 1
+#> 2 1 -6.20 -3.90 -0.263935875 3.3334062 -6.463936 -0.5665938 2
+#> 3 1 -14.20 -5.80 0.001955034 1.0132645 -14.198045 -4.7867355 2
+#> 4 1 -2.10 -13.20 -0.034781464 -0.7535538 -2.134781 -13.9535538 1
+#> 5 1 -1.70 -4.30 -0.747101450 0.3706924 -2.447101 -3.9293076 1
+#> 6 1 -6.90 -1.55 -0.230059827 0.6358891 -7.130060 -0.9141109 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5200 -38200 8075
+#> initial value 998.131940
+#> iter 2 value 826.056095
+#> iter 3 value 825.772761
+#> iter 4 value 824.518376
+#> iter 5 value 775.198907
+#> iter 6 value 765.354159
+#> iter 7 value 763.863902
+#> iter 8 value 763.836969
+#> iter 9 value 763.836508
+#> iter 10 value 763.836366
+#> iter 11 value 763.836300
+#> iter 12 value 763.836184
+#> iter 12 value 763.836184
+#> iter 12 value 763.836184
+#> final value 763.836184
+#> converged
+#> This is Run number 271
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.58054380 -1.1285687 -1.769456 -13.328569 1
+#> 2 1 -6.20 -3.90 0.02388196 -0.1766518 -6.176118 -4.076652 2
+#> 3 1 -14.20 -5.80 2.00012293 4.3443098 -12.199877 -1.455690 2
+#> 4 1 -2.10 -13.20 -0.08388964 -0.2594556 -2.183890 -13.459456 1
+#> 5 1 -1.70 -4.30 0.25895436 2.8456051 -1.441046 -1.454395 1
+#> 6 1 -6.90 -1.55 0.80672041 0.4484857 -6.093280 -1.101514 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5120 -38175 7350
+#> initial value 998.131940
+#> iter 2 value 830.696016
+#> iter 3 value 829.328458
+#> iter 4 value 826.953553
+#> iter 5 value 779.041523
+#> iter 6 value 769.112183
+#> iter 7 value 767.628852
+#> iter 8 value 767.598714
+#> iter 9 value 767.598537
+#> iter 10 value 767.598190
+#> iter 10 value 767.598186
+#> iter 11 value 767.598156
+#> iter 12 value 767.598080
+#> iter 13 value 767.598064
+#> iter 14 value 767.598051
+#> iter 14 value 767.598051
+#> iter 14 value 767.598051
+#> final value 767.598051
+#> converged
+#> This is Run number 272
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.6604348 0.5794324 -3.010435 -11.620568 1
+#> 2 1 -6.20 -3.90 -0.1993343 0.4997224 -6.399334 -3.400278 2
+#> 3 1 -14.20 -5.80 3.3199862 -0.7270863 -10.880014 -6.527086 2
+#> 4 1 -2.10 -13.20 -0.1088352 -1.4307371 -2.208835 -14.630737 1
+#> 5 1 -1.70 -4.30 -0.9789592 -0.6404310 -2.678959 -4.940431 1
+#> 6 1 -6.90 -1.55 0.6489310 -0.6369424 -6.251069 -2.186942 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4340 -37400 7700
+#> initial value 998.131940
+#> iter 2 value 839.149646
+#> iter 3 value 836.576789
+#> iter 4 value 832.456752
+#> iter 5 value 781.245043
+#> iter 6 value 771.673605
+#> iter 7 value 770.154351
+#> iter 8 value 770.129430
+#> iter 9 value 770.129226
+#> iter 9 value 770.129225
+#> iter 10 value 770.129156
+#> iter 10 value 770.129145
+#> iter 10 value 770.129145
+#> final value 770.129145
+#> converged
+#> This is Run number 273
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.5223860 1.8968617 -1.827614 -10.303138 1
+#> 2 1 -6.20 -3.90 4.4259297 -0.6392413 -1.774070 -4.539241 1
+#> 3 1 -14.20 -5.80 3.4536777 1.4396279 -10.746322 -4.360372 2
+#> 4 1 -2.10 -13.20 0.8614061 0.3016300 -1.238594 -12.898370 1
+#> 5 1 -1.70 -4.30 0.2241985 -0.8381999 -1.475801 -5.138200 1
+#> 6 1 -6.90 -1.55 -0.3639845 0.5463087 -7.263984 -1.003691 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -37125 7025
+#> initial value 998.131940
+#> iter 2 value 846.910817
+#> iter 3 value 845.902215
+#> iter 4 value 843.099146
+#> iter 5 value 792.314042
+#> iter 6 value 782.727075
+#> iter 7 value 781.191067
+#> iter 8 value 781.160280
+#> iter 9 value 781.160186
+#> iter 10 value 781.159880
+#> iter 10 value 781.159879
+#> iter 11 value 781.159864
+#> iter 12 value 781.159849
+#> iter 12 value 781.159849
+#> iter 12 value 781.159846
+#> final value 781.159846
+#> converged
+#> This is Run number 274
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.43089161 -0.21297977 -2.780892 -12.412980 1
+#> 2 1 -6.20 -3.90 1.77042234 -1.08554967 -4.429578 -4.985550 1
+#> 3 1 -14.20 -5.80 -0.44869055 -0.44084402 -14.648691 -6.240844 2
+#> 4 1 -2.10 -13.20 -0.01103609 0.03377588 -2.111036 -13.166224 1
+#> 5 1 -1.70 -4.30 -0.03025948 1.21590417 -1.730259 -3.084096 1
+#> 6 1 -6.90 -1.55 2.52717446 0.23636150 -4.372826 -1.313638 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4400 -37500 9175
+#> initial value 998.131940
+#> iter 2 value 828.279739
+#> iter 3 value 810.111225
+#> iter 4 value 809.121716
+#> iter 5 value 769.800309
+#> iter 6 value 761.889672
+#> iter 7 value 761.012448
+#> iter 8 value 760.970723
+#> iter 9 value 760.970031
+#> iter 10 value 760.969787
+#> iter 11 value 760.969524
+#> iter 12 value 760.969438
+#> iter 12 value 760.969438
+#> iter 12 value 760.969438
+#> final value 760.969438
+#> converged
+#> This is Run number 275
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.7796459 -1.11096906 -3.129646 -13.310969 1
+#> 2 1 -6.20 -3.90 -0.6753307 0.22681138 -6.875331 -3.673189 2
+#> 3 1 -14.20 -5.80 0.3441147 0.45486160 -13.855885 -5.345138 2
+#> 4 1 -2.10 -13.20 0.3724539 -0.06941275 -1.727546 -13.269413 1
+#> 5 1 -1.70 -4.30 -1.9011615 0.30025218 -3.601161 -3.999748 1
+#> 6 1 -6.90 -1.55 -0.7291533 0.44228200 -7.629153 -1.107718 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -35950 7475
+#> initial value 998.131940
+#> iter 2 value 859.677299
+#> iter 3 value 848.087117
+#> iter 4 value 847.583299
+#> iter 5 value 804.765037
+#> iter 6 value 796.849677
+#> iter 7 value 795.377255
+#> iter 8 value 795.333027
+#> iter 9 value 795.332423
+#> iter 10 value 795.332232
+#> iter 11 value 795.331972
+#> iter 12 value 795.331830
+#> iter 12 value 795.331830
+#> iter 12 value 795.331830
+#> final value 795.331830
+#> converged
+#> This is Run number 276
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.15805801 -0.082975704 -3.5080580 -12.282976 1
+#> 2 1 -6.20 -3.90 -0.06634443 1.716855023 -6.2663444 -2.183145 2
+#> 3 1 -14.20 -5.80 1.41271586 -0.790117681 -12.7872841 -6.590118 2
+#> 4 1 -2.10 -13.20 2.73969920 0.188038987 0.6396992 -13.011961 1
+#> 5 1 -1.70 -4.30 -0.26873676 0.116775524 -1.9687368 -4.183224 1
+#> 6 1 -6.90 -1.55 2.25664326 -0.005117227 -4.6433567 -1.555117 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -36400 7450
+#> initial value 998.131940
+#> iter 2 value 853.780686
+#> iter 3 value 852.752212
+#> iter 4 value 849.219169
+#> iter 5 value 795.046322
+#> iter 6 value 785.813806
+#> iter 7 value 784.300052
+#> iter 8 value 784.274729
+#> iter 9 value 784.274645
+#> iter 10 value 784.274487
+#> iter 10 value 784.274487
+#> iter 11 value 784.274460
+#> iter 12 value 784.274426
+#> iter 12 value 784.274425
+#> iter 12 value 784.274419
+#> final value 784.274419
+#> converged
+#> This is Run number 277
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.09351409 1.3824487 -2.256486 -10.817551 1
+#> 2 1 -6.20 -3.90 1.29003815 2.1371470 -4.909962 -1.762853 2
+#> 3 1 -14.20 -5.80 0.94326935 -0.6044273 -13.256731 -6.404427 2
+#> 4 1 -2.10 -13.20 0.06607300 1.4055173 -2.033927 -11.794483 1
+#> 5 1 -1.70 -4.30 -0.40273973 2.9278946 -2.102740 -1.372105 2
+#> 6 1 -6.90 -1.55 -1.00269218 -0.3565022 -7.902692 -1.906502 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -37200 7725
+#> initial value 998.131940
+#> iter 2 value 841.979281
+#> iter 3 value 828.932466
+#> iter 4 value 827.607645
+#> iter 5 value 786.763844
+#> iter 6 value 778.411699
+#> iter 7 value 776.932874
+#> iter 8 value 776.873858
+#> iter 9 value 776.872833
+#> iter 10 value 776.872657
+#> iter 11 value 776.872470
+#> iter 12 value 776.872323
+#> iter 12 value 776.872323
+#> iter 12 value 776.872323
+#> final value 776.872323
+#> converged
+#> This is Run number 278
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.4343840 -0.1611722 -3.784384 -12.361172 1
+#> 2 1 -6.20 -3.90 1.2707179 0.8410213 -4.929282 -3.058979 2
+#> 3 1 -14.20 -5.80 0.2484319 2.3094229 -13.951568 -3.490577 2
+#> 4 1 -2.10 -13.20 0.6737509 1.7204311 -1.426249 -11.479569 1
+#> 5 1 -1.70 -4.30 -0.6848286 0.5589237 -2.384829 -3.741076 1
+#> 6 1 -6.90 -1.55 -0.6632426 4.1271730 -7.563243 2.577173 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -37475 7000
+#> initial value 998.131940
+#> iter 2 value 842.143624
+#> iter 3 value 838.769020
+#> iter 4 value 834.439246
+#> iter 5 value 784.989187
+#> iter 6 value 775.261652
+#> iter 7 value 773.705186
+#> iter 8 value 773.676039
+#> iter 9 value 773.676015
+#> iter 10 value 773.675935
+#> iter 10 value 773.675932
+#> iter 10 value 773.675922
+#> final value 773.675922
+#> converged
+#> This is Run number 279
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.004247866 1.6216892 -2.354248 -10.578311 1
+#> 2 1 -6.20 -3.90 0.227818769 0.8483744 -5.972181 -3.051626 2
+#> 3 1 -14.20 -5.80 -0.658148406 2.1087128 -14.858148 -3.691287 2
+#> 4 1 -2.10 -13.20 -0.152420716 0.5171178 -2.252421 -12.682882 1
+#> 5 1 -1.70 -4.30 -0.229338995 -0.2029905 -1.929339 -4.502990 1
+#> 6 1 -6.90 -1.55 -1.360208186 -0.4626162 -8.260208 -2.012616 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4980 -37325 8400
+#> initial value 998.131940
+#> iter 2 value 836.146862
+#> iter 3 value 821.516055
+#> iter 4 value 821.083678
+#> iter 5 value 781.637353
+#> iter 6 value 773.368187
+#> iter 7 value 772.309884
+#> iter 8 value 772.269542
+#> iter 9 value 772.268818
+#> iter 10 value 772.268602
+#> iter 11 value 772.268300
+#> iter 12 value 772.268100
+#> iter 12 value 772.268100
+#> iter 12 value 772.268100
+#> final value 772.268100
+#> converged
+#> This is Run number 280
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.9480277 2.2455868 -1.4019723 -9.954413 1
+#> 2 1 -6.20 -3.90 2.8372982 -0.1716139 -3.3627018 -4.071614 1
+#> 3 1 -14.20 -5.80 1.5363792 0.1603869 -12.6636208 -5.639613 2
+#> 4 1 -2.10 -13.20 -0.4821113 1.4373065 -2.5821113 -11.762693 1
+#> 5 1 -1.70 -4.30 0.7980978 1.4797368 -0.9019022 -2.820263 1
+#> 6 1 -6.90 -1.55 1.3486664 0.3904670 -5.5513336 -1.159533 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4280 -38325 8225
+#> initial value 998.131940
+#> iter 2 value 822.939399
+#> iter 3 value 818.602670
+#> iter 4 value 813.710071
+#> iter 5 value 764.864926
+#> iter 6 value 755.180950
+#> iter 7 value 753.652262
+#> iter 8 value 753.628788
+#> iter 9 value 753.628721
+#> iter 10 value 753.628543
+#> iter 10 value 753.628539
+#> iter 10 value 753.628529
+#> final value 753.628529
+#> converged
+#> This is Run number 281
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.76026700 -1.5073630 -4.110267 -13.707363 1
+#> 2 1 -6.20 -3.90 0.97932205 1.5549443 -5.220678 -2.345056 2
+#> 3 1 -14.20 -5.80 1.18773048 0.9124961 -13.012270 -4.887504 2
+#> 4 1 -2.10 -13.20 -1.08670805 1.7214012 -3.186708 -11.478599 1
+#> 5 1 -1.70 -4.30 0.02013901 1.5039662 -1.679861 -2.796034 1
+#> 6 1 -6.90 -1.55 0.26323521 2.5766065 -6.636765 1.026606 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4580 -36850 7625
+#> initial value 998.131940
+#> iter 2 value 847.130382
+#> iter 3 value 846.902338
+#> iter 4 value 844.253362
+#> iter 5 value 791.176170
+#> iter 6 value 781.770767
+#> iter 7 value 780.267276
+#> iter 8 value 780.240278
+#> iter 9 value 780.240114
+#> iter 10 value 780.239893
+#> iter 10 value 780.239884
+#> iter 11 value 780.239859
+#> iter 12 value 780.239784
+#> iter 13 value 780.239759
+#> iter 14 value 780.239702
+#> iter 14 value 780.239702
+#> iter 14 value 780.239702
+#> final value 780.239702
+#> converged
+#> This is Run number 282
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.8551593 1.3771275 -1.4948407 -10.822873 1
+#> 2 1 -6.20 -3.90 -0.2767462 0.9965802 -6.4767462 -2.903420 2
+#> 3 1 -14.20 -5.80 -0.0177853 -0.1113018 -14.2177853 -5.911302 2
+#> 4 1 -2.10 -13.20 1.0238907 0.5095162 -1.0761093 -12.690484 1
+#> 5 1 -1.70 -4.30 1.5266674 0.1667696 -0.1733326 -4.133230 1
+#> 6 1 -6.90 -1.55 0.8932593 -0.3741849 -6.0067407 -1.924185 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5260 -38675 6950
+#> initial value 998.131940
+#> iter 2 value 825.664993
+#> iter 3 value 823.277693
+#> iter 4 value 820.340607
+#> iter 5 value 775.050938
+#> iter 6 value 764.923114
+#> iter 7 value 763.432323
+#> iter 8 value 763.400380
+#> iter 9 value 763.400349
+#> iter 10 value 763.400069
+#> iter 10 value 763.400068
+#> iter 11 value 763.399991
+#> iter 12 value 763.399977
+#> iter 12 value 763.399975
+#> iter 12 value 763.399975
+#> final value 763.399975
+#> converged
+#> This is Run number 283
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.5975855 2.9895837 -1.7524145 -9.210416 1
+#> 2 1 -6.20 -3.90 1.2699305 -0.2841597 -4.9300695 -4.184160 2
+#> 3 1 -14.20 -5.80 -0.7085589 -0.8670847 -14.9085589 -6.667085 2
+#> 4 1 -2.10 -13.20 1.8357813 -0.7801554 -0.2642187 -13.980155 1
+#> 5 1 -1.70 -4.30 2.5345521 1.0795835 0.8345521 -3.220416 1
+#> 6 1 -6.90 -1.55 -0.7463267 -0.3227869 -7.6463267 -1.872787 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3800 -37600 10325
+#> initial value 998.131940
+#> iter 2 value 817.682918
+#> iter 3 value 817.228366
+#> iter 4 value 813.955883
+#> iter 5 value 756.886581
+#> iter 6 value 747.786568
+#> iter 7 value 746.046857
+#> iter 8 value 746.007141
+#> iter 9 value 746.006940
+#> iter 9 value 746.006930
+#> iter 9 value 746.006928
+#> final value 746.006928
+#> converged
+#> This is Run number 284
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.30704363 1.81076610 -2.6570436 -10.389234 1
+#> 2 1 -6.20 -3.90 1.58028159 -0.05677147 -4.6197184 -3.956771 2
+#> 3 1 -14.20 -5.80 0.50657932 1.99604598 -13.6934207 -3.803954 2
+#> 4 1 -2.10 -13.20 0.44981920 0.12034947 -1.6501808 -13.079651 1
+#> 5 1 -1.70 -4.30 0.90013906 0.88369319 -0.7998609 -3.416307 1
+#> 6 1 -6.90 -1.55 -0.02221114 -0.88228731 -6.9222111 -2.432287 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4560 -39150 7950
+#> initial value 998.131940
+#> iter 2 value 812.696466
+#> iter 3 value 807.219831
+#> iter 4 value 802.079849
+#> iter 5 value 756.900392
+#> iter 6 value 746.992633
+#> iter 7 value 745.525640
+#> iter 8 value 745.501380
+#> iter 9 value 745.501296
+#> iter 10 value 745.501140
+#> iter 10 value 745.501132
+#> iter 10 value 745.501132
+#> final value 745.501132
+#> converged
+#> This is Run number 285
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.4514838362 1.1894183 0.1014838 -11.010582 1
+#> 2 1 -6.20 -3.90 2.1294118579 -0.9889652 -4.0705881 -4.888965 1
+#> 3 1 -14.20 -5.80 -0.3639604052 1.2684194 -14.5639604 -4.531581 2
+#> 4 1 -2.10 -13.20 -0.0006974039 -0.4515859 -2.1006974 -13.651586 1
+#> 5 1 -1.70 -4.30 -0.3924597619 0.5402908 -2.0924598 -3.759709 1
+#> 6 1 -6.90 -1.55 -0.7881755944 0.5247585 -7.6881756 -1.025242 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4120 -35500 8875
+#> initial value 998.131940
+#> iter 2 value 856.074791
+#> iter 3 value 839.155430
+#> iter 4 value 838.369855
+#> iter 5 value 795.624971
+#> iter 6 value 788.214396
+#> iter 7 value 787.321331
+#> iter 8 value 787.293362
+#> iter 9 value 787.292919
+#> iter 10 value 787.292769
+#> iter 11 value 787.292576
+#> iter 12 value 787.292462
+#> iter 12 value 787.292462
+#> iter 12 value 787.292462
+#> final value 787.292462
+#> converged
+#> This is Run number 286
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.0581532 0.5032065 0.7081532 -11.696794 1
+#> 2 1 -6.20 -3.90 1.4657886 -0.4525641 -4.7342114 -4.352564 2
+#> 3 1 -14.20 -5.80 0.3057803 2.0826512 -13.8942197 -3.717349 2
+#> 4 1 -2.10 -13.20 0.9985572 -1.3596535 -1.1014428 -14.559653 1
+#> 5 1 -1.70 -4.30 -0.1057624 -0.8171847 -1.8057624 -5.117185 1
+#> 6 1 -6.90 -1.55 1.3905252 0.1128239 -5.5094748 -1.437176 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -37725 8025
+#> initial value 998.131940
+#> iter 2 value 832.934852
+#> iter 3 value 831.807357
+#> iter 4 value 829.145967
+#> iter 5 value 778.226169
+#> iter 6 value 768.585401
+#> iter 7 value 767.085238
+#> iter 8 value 767.060011
+#> iter 9 value 767.059635
+#> iter 10 value 767.059563
+#> iter 11 value 767.059549
+#> iter 12 value 767.059415
+#> iter 12 value 767.059415
+#> iter 12 value 767.059415
+#> final value 767.059415
+#> converged
+#> This is Run number 287
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.3746014 0.676434466 -1.975399 -11.52356553 1
+#> 2 1 -6.20 -3.90 -0.1081228 -0.398982501 -6.308123 -4.29898250 2
+#> 3 1 -14.20 -5.80 3.8639008 -0.015114326 -10.336099 -5.81511433 2
+#> 4 1 -2.10 -13.20 3.3042832 -0.627803743 1.204283 -13.82780374 1
+#> 5 1 -1.70 -4.30 0.2238921 0.004673063 -1.476108 -4.29532694 1
+#> 6 1 -6.90 -1.55 1.0094519 1.560112448 -5.890548 0.01011245 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -37725 8150
+#> initial value 998.131940
+#> iter 2 value 832.160267
+#> iter 3 value 831.232957
+#> iter 4 value 828.736999
+#> iter 5 value 777.530045
+#> iter 6 value 767.910681
+#> iter 7 value 766.404506
+#> iter 8 value 766.379742
+#> iter 9 value 766.379398
+#> iter 10 value 766.379236
+#> iter 11 value 766.379215
+#> iter 12 value 766.379143
+#> iter 12 value 766.379143
+#> iter 12 value 766.379143
+#> final value 766.379143
+#> converged
+#> This is Run number 288
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.4477791 -0.02290675 -3.797779 -12.222907 1
+#> 2 1 -6.20 -3.90 0.1492592 2.26465771 -6.050741 -1.635342 2
+#> 3 1 -14.20 -5.80 1.6131790 -1.25167863 -12.586821 -7.051679 2
+#> 4 1 -2.10 -13.20 0.8608860 1.85819946 -1.239114 -11.341801 1
+#> 5 1 -1.70 -4.30 -0.4602671 -0.35374786 -2.160267 -4.653748 1
+#> 6 1 -6.90 -1.55 2.5246221 -0.56342768 -4.375378 -2.113428 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5180 -39225 7825
+#> initial value 998.131940
+#> iter 2 value 812.547827
+#> iter 3 value 809.825646
+#> iter 4 value 807.274064
+#> iter 5 value 762.164553
+#> iter 6 value 752.120804
+#> iter 7 value 750.698504
+#> iter 8 value 750.673055
+#> iter 9 value 750.672742
+#> iter 10 value 750.672605
+#> iter 10 value 750.672605
+#> iter 11 value 750.672503
+#> iter 12 value 750.672378
+#> iter 12 value 750.672377
+#> iter 13 value 750.672363
+#> iter 14 value 750.672335
+#> iter 14 value 750.672335
+#> iter 14 value 750.672334
+#> final value 750.672334
+#> converged
+#> This is Run number 289
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.0156155 0.8217866 -1.334384 -11.378213 1
+#> 2 1 -6.20 -3.90 0.9281853 -0.7850243 -5.271815 -4.685024 2
+#> 3 1 -14.20 -5.80 -0.7863569 1.4266482 -14.986357 -4.373352 2
+#> 4 1 -2.10 -13.20 0.3990939 0.1474919 -1.700906 -13.052508 1
+#> 5 1 -1.70 -4.30 -1.0462950 1.5595730 -2.746295 -2.740427 2
+#> 6 1 -6.90 -1.55 2.0404020 -0.2830759 -4.859598 -1.833076 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5260 -37750 8000
+#> initial value 998.131940
+#> iter 2 value 832.848741
+#> iter 3 value 819.663993
+#> iter 4 value 819.225382
+#> iter 5 value 780.460935
+#> iter 6 value 771.936724
+#> iter 7 value 770.709565
+#> iter 8 value 770.660929
+#> iter 9 value 770.660036
+#> iter 10 value 770.659803
+#> iter 11 value 770.659496
+#> iter 12 value 770.659276
+#> iter 12 value 770.659276
+#> iter 12 value 770.659276
+#> final value 770.659276
+#> converged
+#> This is Run number 290
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.4073788 3.8165215 -3.75737879 -8.383479 1
+#> 2 1 -6.20 -3.90 0.8872467 -0.8139064 -5.31275326 -4.713906 2
+#> 3 1 -14.20 -5.80 0.2457654 3.8831192 -13.95423462 -1.916881 2
+#> 4 1 -2.10 -13.20 0.5387143 -0.6082700 -1.56128573 -13.808270 1
+#> 5 1 -1.70 -4.30 1.7145458 0.1519977 0.01454577 -4.148002 1
+#> 6 1 -6.90 -1.55 1.4108770 2.1594590 -5.48912299 0.609459 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4640 -37650 8350
+#> initial value 998.131940
+#> iter 2 value 831.915655
+#> iter 3 value 831.322872
+#> iter 4 value 829.007503
+#> iter 5 value 777.073827
+#> iter 6 value 767.513507
+#> iter 7 value 765.992270
+#> iter 8 value 765.968363
+#> iter 9 value 765.968157
+#> iter 10 value 765.968071
+#> iter 11 value 765.968041
+#> iter 12 value 765.967793
+#> iter 12 value 765.967793
+#> iter 12 value 765.967793
+#> final value 765.967793
+#> converged
+#> This is Run number 291
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.5183990 3.3941148 -0.8316010 -8.805885 1
+#> 2 1 -6.20 -3.90 1.7693622 -0.2634645 -4.4306378 -4.163464 2
+#> 3 1 -14.20 -5.80 0.9919890 1.4104441 -13.2080110 -4.389556 2
+#> 4 1 -2.10 -13.20 0.9583359 -0.1757396 -1.1416641 -13.375740 1
+#> 5 1 -1.70 -4.30 0.8438243 0.4805695 -0.8561757 -3.819431 1
+#> 6 1 -6.90 -1.55 -0.7981524 -0.1423040 -7.6981524 -1.692304 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4300 -36425 7675
+#> initial value 998.131940
+#> iter 2 value 852.202529
+#> iter 3 value 851.856167
+#> iter 4 value 848.691770
+#> iter 5 value 794.060865
+#> iter 6 value 784.847043
+#> iter 7 value 783.340460
+#> iter 8 value 783.315455
+#> iter 9 value 783.315274
+#> iter 10 value 783.315110
+#> iter 10 value 783.315106
+#> iter 11 value 783.315049
+#> iter 12 value 783.315023
+#> iter 12 value 783.315023
+#> iter 12 value 783.315020
+#> final value 783.315020
+#> converged
+#> This is Run number 292
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.9108058 -0.8361003 -1.439194 -13.0361003 1
+#> 2 1 -6.20 -3.90 0.5334250 3.1293773 -5.666575 -0.7706227 2
+#> 3 1 -14.20 -5.80 0.3946201 0.3952252 -13.805380 -5.4047748 2
+#> 4 1 -2.10 -13.20 1.0094266 0.9599540 -1.090573 -12.2400460 1
+#> 5 1 -1.70 -4.30 -1.4228504 -0.6907350 -3.122850 -4.9907350 1
+#> 6 1 -6.90 -1.55 1.6018892 0.1336855 -5.298111 -1.4163145 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -37875 8100
+#> initial value 998.131940
+#> iter 2 value 830.377965
+#> iter 3 value 829.011676
+#> iter 4 value 826.294391
+#> iter 5 value 775.752592
+#> iter 6 value 766.087429
+#> iter 7 value 764.587422
+#> iter 8 value 764.562674
+#> iter 9 value 764.562343
+#> iter 10 value 764.562171
+#> iter 11 value 764.562158
+#> iter 12 value 764.562089
+#> iter 12 value 764.562089
+#> iter 12 value 764.562089
+#> final value 764.562089
+#> converged
+#> This is Run number 293
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.7639582 -0.1482784 -0.58604182 -12.348278 1
+#> 2 1 -6.20 -3.90 0.4799515 -0.2919752 -5.72004848 -4.191975 2
+#> 3 1 -14.20 -5.80 0.2914612 0.1977963 -13.90853876 -5.602204 2
+#> 4 1 -2.10 -13.20 -1.0652048 -1.0547899 -3.16520485 -14.254790 1
+#> 5 1 -1.70 -4.30 1.7495964 0.2627416 0.04959638 -4.037258 1
+#> 6 1 -6.90 -1.55 -0.6477456 -0.4431251 -7.54774561 -1.993125 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4560 -37250 8275
+#> initial value 998.131940
+#> iter 2 value 837.827435
+#> iter 3 value 837.782543
+#> iter 4 value 835.462991
+#> iter 5 value 782.262045
+#> iter 6 value 772.810511
+#> iter 7 value 771.286098
+#> iter 8 value 771.261869
+#> iter 9 value 771.261554
+#> iter 10 value 771.261405
+#> iter 11 value 771.261369
+#> iter 12 value 771.261304
+#> iter 12 value 771.261304
+#> iter 12 value 771.261304
+#> final value 771.261304
+#> converged
+#> This is Run number 294
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.9051838 1.1136679 -1.44481619 -11.086332 1
+#> 2 1 -6.20 -3.90 1.4965862 1.1429707 -4.70341381 -2.757029 2
+#> 3 1 -14.20 -5.80 0.4268191 1.2854921 -13.77318088 -4.514508 2
+#> 4 1 -2.10 -13.20 2.1503160 2.1706564 0.05031595 -11.029344 1
+#> 5 1 -1.70 -4.30 -0.4598082 -0.3673346 -2.15980816 -4.667335 1
+#> 6 1 -6.90 -1.55 -0.5028535 -0.9075608 -7.40285353 -2.457561 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3520 -36700 7925
+#> initial value 998.131940
+#> iter 2 value 846.264840
+#> iter 3 value 841.158836
+#> iter 4 value 834.835188
+#> iter 5 value 780.699748
+#> iter 6 value 771.377294
+#> iter 7 value 769.746027
+#> iter 8 value 769.722802
+#> iter 9 value 769.722788
+#> iter 10 value 769.722773
+#> iter 11 value 769.722760
+#> iter 11 value 769.722756
+#> iter 11 value 769.722756
+#> final value 769.722756
+#> converged
+#> This is Run number 295
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.4295164 -1.2492667 -1.9204836 -13.4492667 1
+#> 2 1 -6.20 -3.90 -0.2737735 0.4702446 -6.4737735 -3.4297554 2
+#> 3 1 -14.20 -5.80 0.2326485 1.2376123 -13.9673515 -4.5623877 2
+#> 4 1 -2.10 -13.20 -0.3914729 -0.3132818 -2.4914729 -13.5132818 1
+#> 5 1 -1.70 -4.30 1.1065599 1.7746163 -0.5934401 -2.5253837 1
+#> 6 1 -6.90 -1.55 1.8180783 0.6678185 -5.0819217 -0.8821815 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4220 -36175 7850
+#> initial value 998.131940
+#> iter 2 value 854.306060
+#> iter 3 value 840.157063
+#> iter 4 value 838.168920
+#> iter 5 value 794.557103
+#> iter 6 value 786.608679
+#> iter 7 value 785.167725
+#> iter 8 value 785.114475
+#> iter 9 value 785.113662
+#> iter 10 value 785.113546
+#> iter 11 value 785.113442
+#> iter 12 value 785.113357
+#> iter 12 value 785.113357
+#> iter 12 value 785.113357
+#> final value 785.113357
+#> converged
+#> This is Run number 296
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.59273926 1.1984392 -2.942739 -11.001561 1
+#> 2 1 -6.20 -3.90 -1.10252295 -0.5383388 -7.302523 -4.438339 2
+#> 3 1 -14.20 -5.80 1.37803237 -0.5917703 -12.821968 -6.391770 2
+#> 4 1 -2.10 -13.20 1.02950651 2.0432735 -1.070493 -11.156727 1
+#> 5 1 -1.70 -4.30 -0.04726241 -0.7571170 -1.747262 -5.057117 1
+#> 6 1 -6.90 -1.55 -0.17304557 0.1609160 -7.073046 -1.389084 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -38425 8675
+#> initial value 998.131940
+#> iter 2 value 818.889485
+#> iter 3 value 817.502255
+#> iter 4 value 815.532071
+#> iter 5 value 765.720161
+#> iter 6 value 756.040332
+#> iter 7 value 754.520029
+#> iter 8 value 754.497405
+#> iter 9 value 754.497259
+#> iter 10 value 754.496923
+#> iter 10 value 754.496912
+#> iter 11 value 754.496895
+#> iter 12 value 754.496848
+#> iter 12 value 754.496847
+#> iter 12 value 754.496844
+#> final value 754.496844
+#> converged
+#> This is Run number 297
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.68471348 2.4819638 -0.6652865 -9.718036 1
+#> 2 1 -6.20 -3.90 2.90998068 0.7208266 -3.2900193 -3.179173 2
+#> 3 1 -14.20 -5.80 -0.16923202 1.0174274 -14.3692320 -4.782573 2
+#> 4 1 -2.10 -13.20 1.78052097 1.7064601 -0.3194790 -11.493540 1
+#> 5 1 -1.70 -4.30 0.07083213 0.7869255 -1.6291679 -3.513075 1
+#> 6 1 -6.90 -1.55 -0.84297679 -0.2954682 -7.7429768 -1.845468 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -37625 6775
+#> initial value 998.131940
+#> iter 2 value 841.465561
+#> iter 3 value 839.728272
+#> iter 4 value 836.731161
+#> iter 5 value 788.184670
+#> iter 6 value 778.381874
+#> iter 7 value 776.817147
+#> iter 8 value 776.783873
+#> iter 9 value 776.783797
+#> iter 10 value 776.783602
+#> iter 10 value 776.783602
+#> iter 10 value 776.783593
+#> final value 776.783593
+#> converged
+#> This is Run number 298
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 4.0013924 0.4182143 1.6513924 -11.781786 1
+#> 2 1 -6.20 -3.90 0.2034261 0.1976834 -5.9965739 -3.702317 2
+#> 3 1 -14.20 -5.80 1.3062459 1.8377576 -12.8937541 -3.962242 2
+#> 4 1 -2.10 -13.20 1.4159723 -0.8537479 -0.6840277 -14.053748 1
+#> 5 1 -1.70 -4.30 1.5674866 2.6702262 -0.1325134 -1.629774 1
+#> 6 1 -6.90 -1.55 -1.1257103 0.1157941 -8.0257103 -1.434206 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5520 -37600 7350
+#> initial value 998.131940
+#> iter 2 value 838.705906
+#> iter 3 value 827.680388
+#> iter 4 value 827.246468
+#> iter 5 value 787.869321
+#> iter 6 value 779.290000
+#> iter 7 value 777.714975
+#> iter 8 value 777.655481
+#> iter 9 value 777.654502
+#> iter 10 value 777.654260
+#> iter 11 value 777.653941
+#> iter 12 value 777.653725
+#> iter 12 value 777.653725
+#> iter 12 value 777.653725
+#> final value 777.653725
+#> converged
+#> This is Run number 299
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.17607263 0.5145536 0.8260726 -11.685446 1
+#> 2 1 -6.20 -3.90 -0.46413623 -0.2448955 -6.6641362 -4.144895 2
+#> 3 1 -14.20 -5.80 -0.08613995 -0.4313768 -14.2861399 -6.231377 2
+#> 4 1 -2.10 -13.20 -1.43751753 0.5158982 -3.5375175 -12.684102 1
+#> 5 1 -1.70 -4.30 0.71991091 -0.6474197 -0.9800891 -4.947420 1
+#> 6 1 -6.90 -1.55 0.46826533 -0.7188650 -6.4317347 -2.268865 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4640 -36975 7425
+#> initial value 998.131940
+#> iter 2 value 846.647876
+#> iter 3 value 845.987610
+#> iter 4 value 843.184032
+#> iter 5 value 790.998254
+#> iter 6 value 781.518267
+#> iter 7 value 780.010759
+#> iter 8 value 779.982815
+#> iter 9 value 779.982767
+#> iter 10 value 779.982423
+#> iter 10 value 779.982421
+#> iter 11 value 779.982346
+#> iter 12 value 779.982305
+#> iter 12 value 779.982305
+#> iter 12 value 779.982305
+#> final value 779.982305
+#> converged
+#> This is Run number 300
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.2041872 4.37694707 0.85418722 -7.8230529 1
+#> 2 1 -6.20 -3.90 -0.9989656 0.52276188 -7.19896563 -3.3772381 2
+#> 3 1 -14.20 -5.80 -0.6259492 2.79923813 -14.82594916 -3.0007619 2
+#> 4 1 -2.10 -13.20 2.1317373 1.53935905 0.03173725 -11.6606410 1
+#> 5 1 -1.70 -4.30 0.5154185 -0.06102731 -1.18458149 -4.3610273 1
+#> 6 1 -6.90 -1.55 -0.2699454 1.08084548 -7.16994545 -0.4691545 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3640 -35000 8450
+#> initial value 998.131940
+#> iter 2 value 864.397662
+#> iter 3 value 847.910885
+#> iter 4 value 845.971355
+#> iter 5 value 800.578023
+#> iter 6 value 793.258759
+#> iter 7 value 792.147823
+#> iter 8 value 792.110889
+#> iter 9 value 792.110352
+#> iter 10 value 792.110253
+#> iter 11 value 792.110165
+#> iter 12 value 792.110097
+#> iter 12 value 792.110097
+#> iter 12 value 792.110097
+#> final value 792.110097
+#> converged
+#> This is Run number 301
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.6548712 1.24264138 -3.0048712 -10.9573586 1
+#> 2 1 -6.20 -3.90 -1.0764745 -1.32470416 -7.2764745 -5.2247042 2
+#> 3 1 -14.20 -5.80 -0.6306849 3.17406028 -14.8306849 -2.6259397 2
+#> 4 1 -2.10 -13.20 2.4676385 0.09798356 0.3676385 -13.1020164 1
+#> 5 1 -1.70 -4.30 -0.1496658 -0.38435055 -1.8496658 -4.6843505 1
+#> 6 1 -6.90 -1.55 -0.7057597 0.69490975 -7.6057597 -0.8550903 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4960 -36650 7850
+#> initial value 998.131940
+#> iter 2 value 848.552623
+#> iter 3 value 835.666641
+#> iter 4 value 835.074017
+#> iter 5 value 793.784410
+#> iter 6 value 785.629458
+#> iter 7 value 784.306694
+#> iter 8 value 784.261544
+#> iter 9 value 784.260816
+#> iter 10 value 784.260609
+#> iter 11 value 784.260344
+#> iter 12 value 784.260176
+#> iter 12 value 784.260176
+#> iter 12 value 784.260176
+#> final value 784.260176
+#> converged
+#> This is Run number 302
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.9264650 3.1837717 -3.2764650 -9.0162283 1
+#> 2 1 -6.20 -3.90 -0.4092675 5.3824587 -6.6092675 1.4824587 2
+#> 3 1 -14.20 -5.80 -0.5772868 0.3220420 -14.7772868 -5.4779580 2
+#> 4 1 -2.10 -13.20 1.1960403 2.6356212 -0.9039597 -10.5643788 1
+#> 5 1 -1.70 -4.30 -0.4248092 -0.8906867 -2.1248092 -5.1906867 1
+#> 6 1 -6.90 -1.55 -0.6573954 0.6557251 -7.5573954 -0.8942749 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5120 -36075 7550
+#> initial value 998.131940
+#> iter 2 value 857.686827
+#> iter 3 value 846.053732
+#> iter 4 value 845.725383
+#> iter 5 value 803.382790
+#> iter 6 value 795.408410
+#> iter 7 value 793.994501
+#> iter 8 value 793.952942
+#> iter 9 value 793.952391
+#> iter 10 value 793.952205
+#> iter 11 value 793.951947
+#> iter 12 value 793.951803
+#> iter 12 value 793.951803
+#> iter 12 value 793.951803
+#> final value 793.951803
+#> converged
+#> This is Run number 303
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.1667076 0.1674771 -2.5167076 -12.032523 1
+#> 2 1 -6.20 -3.90 5.2374982 -0.4239506 -0.9625018 -4.323951 1
+#> 3 1 -14.20 -5.80 1.9609503 0.7052026 -12.2390497 -5.094797 2
+#> 4 1 -2.10 -13.20 0.3902715 -0.4051488 -1.7097285 -13.605149 1
+#> 5 1 -1.70 -4.30 -0.8128941 -0.8302226 -2.5128941 -5.130223 1
+#> 6 1 -6.90 -1.55 -1.2850345 -0.4009554 -8.1850345 -1.950955 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -37375 8625
+#> initial value 998.131940
+#> iter 2 value 833.751169
+#> iter 3 value 833.276616
+#> iter 4 value 830.589115
+#> iter 5 value 777.030374
+#> iter 6 value 767.631014
+#> iter 7 value 766.073880
+#> iter 8 value 766.051354
+#> iter 9 value 766.051265
+#> iter 10 value 766.050983
+#> iter 10 value 766.050983
+#> iter 10 value 766.050978
+#> final value 766.050978
+#> converged
+#> This is Run number 304
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.0042049 2.3747960810 -1.3457951 -9.825204 1
+#> 2 1 -6.20 -3.90 -0.5220648 0.0003921122 -6.7220648 -3.899608 2
+#> 3 1 -14.20 -5.80 1.2936594 0.4218276709 -12.9063406 -5.378172 2
+#> 4 1 -2.10 -13.20 1.3552346 -0.6179463404 -0.7447654 -13.817946 1
+#> 5 1 -1.70 -4.30 0.2924639 1.1868164207 -1.4075361 -3.113184 1
+#> 6 1 -6.90 -1.55 0.7778591 2.4600049840 -6.1221409 0.910005 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4300 -36675 7050
+#> initial value 998.131940
+#> iter 2 value 852.430042
+#> iter 3 value 849.899982
+#> iter 4 value 845.801168
+#> iter 5 value 793.461167
+#> iter 6 value 784.051740
+#> iter 7 value 782.496838
+#> iter 8 value 782.469440
+#> iter 9 value 782.469411
+#> iter 10 value 782.469314
+#> iter 10 value 782.469312
+#> iter 10 value 782.469304
+#> final value 782.469304
+#> converged
+#> This is Run number 305
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.653725098 2.3702289 -1.6962749 -9.8297711 1
+#> 2 1 -6.20 -3.90 0.008802253 -0.4399920 -6.1911977 -4.3399920 2
+#> 3 1 -14.20 -5.80 -0.459302853 0.3373149 -14.6593029 -5.4626851 2
+#> 4 1 -2.10 -13.20 2.752489946 0.9533446 0.6524899 -12.2466554 1
+#> 5 1 -1.70 -4.30 0.122392938 -0.1975007 -1.5776071 -4.4975007 1
+#> 6 1 -6.90 -1.55 -0.907752474 0.8612266 -7.8077525 -0.6887734 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4860 -37375 7575
+#> initial value 998.131940
+#> iter 2 value 840.498227
+#> iter 3 value 840.136265
+#> iter 4 value 837.902869
+#> iter 5 value 786.728914
+#> iter 6 value 777.101847
+#> iter 7 value 775.601976
+#> iter 8 value 775.573123
+#> iter 9 value 775.572962
+#> iter 10 value 775.572637
+#> iter 11 value 775.572619
+#> iter 12 value 775.572434
+#> iter 12 value 775.572434
+#> iter 12 value 775.572434
+#> final value 775.572434
+#> converged
+#> This is Run number 306
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.7089390 -0.4804931 -1.641061 -12.680493 1
+#> 2 1 -6.20 -3.90 0.2047491 -0.5115602 -5.995251 -4.411560 2
+#> 3 1 -14.20 -5.80 -0.7900830 1.4032401 -14.990083 -4.396760 2
+#> 4 1 -2.10 -13.20 -1.1234467 -0.7413298 -3.223447 -13.941330 1
+#> 5 1 -1.70 -4.30 -1.3522570 -0.1221246 -3.052257 -4.422125 1
+#> 6 1 -6.90 -1.55 -0.7059682 0.3211663 -7.605968 -1.228834 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -38050 8375
+#> initial value 998.131940
+#> iter 2 value 826.182074
+#> iter 3 value 824.883430
+#> iter 4 value 822.435006
+#> iter 5 value 771.908162
+#> iter 6 value 762.253385
+#> iter 7 value 760.741787
+#> iter 8 value 760.718140
+#> iter 9 value 760.718081
+#> iter 10 value 760.717729
+#> iter 11 value 760.717712
+#> iter 12 value 760.717566
+#> iter 12 value 760.717566
+#> iter 12 value 760.717566
+#> final value 760.717566
+#> converged
+#> This is Run number 307
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.901778407 0.09895562 -0.4482216 -12.1010444 1
+#> 2 1 -6.20 -3.90 -0.001077749 -0.40236546 -6.2010777 -4.3023655 2
+#> 3 1 -14.20 -5.80 0.505634123 2.56736028 -13.6943659 -3.2326397 2
+#> 4 1 -2.10 -13.20 0.689974753 -0.71577106 -1.4100252 -13.9157711 1
+#> 5 1 -1.70 -4.30 0.543589091 1.31136939 -1.1564109 -2.9886306 1
+#> 6 1 -6.90 -1.55 0.713582030 1.30770050 -6.1864180 -0.2422995 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -35875 7525
+#> initial value 998.131940
+#> iter 2 value 860.004124
+#> iter 3 value 846.899509
+#> iter 4 value 844.910897
+#> iter 5 value 800.465998
+#> iter 6 value 792.576621
+#> iter 7 value 790.995451
+#> iter 8 value 790.939357
+#> iter 9 value 790.938560
+#> iter 10 value 790.938452
+#> iter 11 value 790.938346
+#> iter 12 value 790.938264
+#> iter 12 value 790.938264
+#> iter 12 value 790.938264
+#> final value 790.938264
+#> converged
+#> This is Run number 308
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.9344972 -1.1192275 0.5844972 -13.3192275 1
+#> 2 1 -6.20 -3.90 2.9104090 -0.6989136 -3.2895910 -4.5989136 1
+#> 3 1 -14.20 -5.80 1.4654858 -0.6720275 -12.7345142 -6.4720275 2
+#> 4 1 -2.10 -13.20 -0.2923446 2.3453517 -2.3923446 -10.8546483 1
+#> 5 1 -1.70 -4.30 1.5823179 0.6622847 -0.1176821 -3.6377153 1
+#> 6 1 -6.90 -1.55 -0.2996365 2.2739896 -7.1996365 0.7239896 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3640 -36300 8700
+#> initial value 998.131940
+#> iter 2 value 846.742812
+#> iter 3 value 846.019410
+#> iter 4 value 841.522937
+#> iter 5 value 783.974326
+#> iter 6 value 774.996179
+#> iter 7 value 773.366339
+#> iter 8 value 773.344973
+#> iter 9 value 773.344933
+#> iter 10 value 773.344828
+#> iter 10 value 773.344824
+#> iter 10 value 773.344824
+#> final value 773.344824
+#> converged
+#> This is Run number 309
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.3247173 -0.16808165 -2.674717 -12.3680816 1
+#> 2 1 -6.20 -3.90 2.1906308 2.30084426 -4.009369 -1.5991557 2
+#> 3 1 -14.20 -5.80 0.4152565 1.09940367 -13.784743 -4.7005963 2
+#> 4 1 -2.10 -13.20 0.1461934 -0.26554970 -1.953807 -13.4655497 1
+#> 5 1 -1.70 -4.30 3.3215904 0.06642265 1.621590 -4.2335774 1
+#> 6 1 -6.90 -1.55 -0.7346083 2.35992606 -7.634608 0.8099261 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -36975 8000
+#> initial value 998.131940
+#> iter 2 value 843.075245
+#> iter 3 value 842.160022
+#> iter 4 value 838.858853
+#> iter 5 value 785.378283
+#> iter 6 value 776.004697
+#> iter 7 value 774.484027
+#> iter 8 value 774.459899
+#> iter 9 value 774.459608
+#> iter 10 value 774.459589
+#> iter 10 value 774.459589
+#> iter 11 value 774.459499
+#> iter 11 value 774.459494
+#> iter 12 value 774.459472
+#> iter 13 value 774.459458
+#> iter 13 value 774.459454
+#> iter 13 value 774.459453
+#> final value 774.459453
+#> converged
+#> This is Run number 310
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.88175246 0.9683461 -1.468248 -11.231654 1
+#> 2 1 -6.20 -3.90 -0.27392876 -0.2618681 -6.473929 -4.161868 2
+#> 3 1 -14.20 -5.80 2.26619443 2.0357307 -11.933806 -3.764269 2
+#> 4 1 -2.10 -13.20 0.06266407 0.2961921 -2.037336 -12.903808 1
+#> 5 1 -1.70 -4.30 -1.22152226 -1.3867326 -2.921522 -5.686733 1
+#> 6 1 -6.90 -1.55 0.33576562 -0.4395642 -6.564234 -1.989564 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4220 -36500 7675
+#> initial value 998.131940
+#> iter 2 value 851.169244
+#> iter 3 value 850.243708
+#> iter 4 value 846.697682
+#> iter 5 value 792.339300
+#> iter 6 value 783.098005
+#> iter 7 value 781.583572
+#> iter 8 value 781.559051
+#> iter 9 value 781.558864
+#> iter 10 value 781.558726
+#> iter 10 value 781.558725
+#> iter 11 value 781.558709
+#> iter 12 value 781.558687
+#> iter 12 value 781.558687
+#> iter 12 value 781.558683
+#> final value 781.558683
+#> converged
+#> This is Run number 311
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.5115168 1.01466716 -2.8615168 -11.185333 1
+#> 2 1 -6.20 -3.90 1.4032247 -0.02184841 -4.7967753 -3.921848 2
+#> 3 1 -14.20 -5.80 1.4153494 0.70786851 -12.7846506 -5.092131 2
+#> 4 1 -2.10 -13.20 1.2694801 -0.23517476 -0.8305199 -13.435175 1
+#> 5 1 -1.70 -4.30 0.1734830 -0.80645870 -1.5265170 -5.106459 1
+#> 6 1 -6.90 -1.55 1.3592699 -0.33755845 -5.5407301 -1.887558 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4100 -37575 9200
+#> initial value 998.131940
+#> iter 2 value 826.838089
+#> iter 3 value 825.612424
+#> iter 4 value 822.287150
+#> iter 5 value 768.149284
+#> iter 6 value 758.854834
+#> iter 7 value 757.221658
+#> iter 8 value 757.198380
+#> iter 9 value 757.198271
+#> iter 10 value 757.198177
+#> iter 10 value 757.198174
+#> iter 11 value 757.198151
+#> iter 11 value 757.198148
+#> iter 11 value 757.198148
+#> final value 757.198148
+#> converged
+#> This is Run number 312
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.86240171 -1.05561952 -1.487598 -13.255620 1
+#> 2 1 -6.20 -3.90 -0.02422799 -2.02723568 -6.224228 -5.927236 2
+#> 3 1 -14.20 -5.80 -0.82718011 0.03059423 -15.027180 -5.769406 2
+#> 4 1 -2.10 -13.20 -0.90873204 1.76298622 -3.008732 -11.437014 1
+#> 5 1 -1.70 -4.30 0.29620949 -1.07418756 -1.403791 -5.374188 1
+#> 6 1 -6.90 -1.55 -0.59807415 0.08578685 -7.498074 -1.464213 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -36500 7475
+#> initial value 998.131940
+#> iter 2 value 852.642265
+#> iter 3 value 840.405177
+#> iter 4 value 839.136562
+#> iter 5 value 796.720395
+#> iter 6 value 788.595890
+#> iter 7 value 787.008343
+#> iter 8 value 786.950927
+#> iter 9 value 786.950025
+#> iter 10 value 786.949851
+#> iter 11 value 786.949644
+#> iter 12 value 786.949506
+#> iter 12 value 786.949506
+#> iter 12 value 786.949506
+#> final value 786.949506
+#> converged
+#> This is Run number 313
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.7592132 0.2398957 -0.5907868 -11.9601043 1
+#> 2 1 -6.20 -3.90 -0.1566979 2.8151215 -6.3566979 -1.0848785 2
+#> 3 1 -14.20 -5.80 -1.2836421 2.3738340 -15.4836421 -3.4261660 2
+#> 4 1 -2.10 -13.20 1.8257272 0.6838008 -0.2742728 -12.5161992 1
+#> 5 1 -1.70 -4.30 1.0214538 0.9536818 -0.6785462 -3.3463182 1
+#> 6 1 -6.90 -1.55 1.5216595 0.8943069 -5.3783405 -0.6556931 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -36800 8375
+#> initial value 998.131940
+#> iter 2 value 843.213546
+#> iter 3 value 828.160033
+#> iter 4 value 827.237153
+#> iter 5 value 786.231194
+#> iter 6 value 778.166996
+#> iter 7 value 777.037946
+#> iter 8 value 776.995233
+#> iter 9 value 776.994470
+#> iter 10 value 776.994283
+#> iter 11 value 776.994059
+#> iter 12 value 776.993902
+#> iter 12 value 776.993902
+#> iter 12 value 776.993902
+#> final value 776.993902
+#> converged
+#> This is Run number 314
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.1172372 1.0969271 -0.2327628 -11.103073 1
+#> 2 1 -6.20 -3.90 1.3721152 -0.3896656 -4.8278848 -4.289666 2
+#> 3 1 -14.20 -5.80 -0.4654766 1.4130257 -14.6654766 -4.386974 2
+#> 4 1 -2.10 -13.20 0.5688162 3.1277928 -1.5311838 -10.072207 1
+#> 5 1 -1.70 -4.30 0.8178297 0.9096365 -0.8821703 -3.390364 1
+#> 6 1 -6.90 -1.55 -0.5245573 0.1184695 -7.4245573 -1.431530 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5660 -40050 8175
+#> initial value 998.131940
+#> iter 2 value 797.598416
+#> iter 3 value 795.099750
+#> iter 4 value 793.956358
+#> iter 5 value 751.141798
+#> iter 6 value 741.084295
+#> iter 7 value 739.685807
+#> iter 8 value 739.662264
+#> iter 9 value 739.662045
+#> iter 10 value 739.661431
+#> iter 10 value 739.661428
+#> iter 11 value 739.661387
+#> iter 12 value 739.661322
+#> iter 12 value 739.661320
+#> iter 12 value 739.661315
+#> final value 739.661315
+#> converged
+#> This is Run number 315
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.55331554 1.12979439 -1.796684 -11.070206 1
+#> 2 1 -6.20 -3.90 0.03046934 -0.37953366 -6.169531 -4.279534 2
+#> 3 1 -14.20 -5.80 -0.51309325 -0.21348054 -14.713093 -6.013481 2
+#> 4 1 -2.10 -13.20 0.04538563 2.04640570 -2.054614 -11.153594 1
+#> 5 1 -1.70 -4.30 1.43831604 -0.08514234 -0.261684 -4.385142 1
+#> 6 1 -6.90 -1.55 0.34680765 4.30073224 -6.553192 2.750732 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -37750 7300
+#> initial value 998.131940
+#> iter 2 value 836.857418
+#> iter 3 value 834.746274
+#> iter 4 value 831.385825
+#> iter 5 value 782.189866
+#> iter 6 value 772.413625
+#> iter 7 value 770.908600
+#> iter 8 value 770.880233
+#> iter 9 value 770.880098
+#> iter 10 value 770.879941
+#> iter 10 value 770.879940
+#> iter 11 value 770.879905
+#> iter 12 value 770.879876
+#> iter 12 value 770.879869
+#> iter 13 value 770.879850
+#> iter 13 value 770.879845
+#> iter 13 value 770.879842
+#> final value 770.879842
+#> converged
+#> This is Run number 316
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.5721992 0.3732792 -1.7778008 -11.82672077 1
+#> 2 1 -6.20 -3.90 -0.1047494 1.7517530 -6.3047494 -2.14824697 2
+#> 3 1 -14.20 -5.80 -1.0866493 0.2175876 -15.2866493 -5.58241240 2
+#> 4 1 -2.10 -13.20 1.2614286 0.4812106 -0.8385714 -12.71878941 1
+#> 5 1 -1.70 -4.30 1.0044305 -0.2453219 -0.6955695 -4.54532190 1
+#> 6 1 -6.90 -1.55 0.7260323 1.5246171 -6.1739677 -0.02538287 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4240 -37300 8125
+#> initial value 998.131940
+#> iter 2 value 837.871547
+#> iter 3 value 835.966190
+#> iter 4 value 832.112192
+#> iter 5 value 779.560196
+#> iter 6 value 770.110951
+#> iter 7 value 768.576761
+#> iter 8 value 768.553348
+#> iter 9 value 768.553164
+#> iter 10 value 768.553030
+#> iter 10 value 768.553028
+#> iter 11 value 768.553011
+#> iter 12 value 768.552986
+#> iter 12 value 768.552986
+#> iter 12 value 768.552982
+#> final value 768.552982
+#> converged
+#> This is Run number 317
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.4478006 3.1808658 -2.79780058 -9.0191342 1
+#> 2 1 -6.20 -3.90 2.2949664 0.4951635 -3.90503358 -3.4048365 2
+#> 3 1 -14.20 -5.80 0.2486314 0.7670397 -13.95136864 -5.0329603 2
+#> 4 1 -2.10 -13.20 -0.6153921 0.7114197 -2.71539210 -12.4885803 1
+#> 5 1 -1.70 -4.30 1.7314400 0.9209594 0.03143998 -3.3790406 1
+#> 6 1 -6.90 -1.55 -0.3130512 2.3024198 -7.21305115 0.7524198 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3880 -36300 8975
+#> initial value 998.131940
+#> iter 2 value 845.168703
+#> iter 3 value 827.040174
+#> iter 4 value 825.298189
+#> iter 5 value 782.867729
+#> iter 6 value 775.243068
+#> iter 7 value 774.265868
+#> iter 8 value 774.226072
+#> iter 9 value 774.225398
+#> iter 10 value 774.225281
+#> iter 11 value 774.225163
+#> iter 12 value 774.225065
+#> iter 12 value 774.225065
+#> iter 12 value 774.225065
+#> final value 774.225065
+#> converged
+#> This is Run number 318
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.9323958 2.51118641 -1.4176042 -9.688814 1
+#> 2 1 -6.20 -3.90 -1.2005330 -0.61890519 -7.4005330 -4.518905 2
+#> 3 1 -14.20 -5.80 0.5319558 1.31141382 -13.6680442 -4.488586 2
+#> 4 1 -2.10 -13.20 1.6089105 0.32633153 -0.4910895 -12.873668 1
+#> 5 1 -1.70 -4.30 7.7895046 0.01939296 6.0895046 -4.280607 1
+#> 6 1 -6.90 -1.55 0.3955878 -0.12401757 -6.5044122 -1.674018 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -39275 8800
+#> initial value 998.131940
+#> iter 2 value 805.412265
+#> iter 3 value 801.500621
+#> iter 4 value 798.333878
+#> iter 5 value 751.574293
+#> iter 6 value 741.902113
+#> iter 7 value 740.392357
+#> iter 8 value 740.368512
+#> iter 9 value 740.368303
+#> iter 10 value 740.368096
+#> iter 11 value 740.368084
+#> iter 12 value 740.367998
+#> iter 12 value 740.367998
+#> iter 12 value 740.367998
+#> final value 740.367998
+#> converged
+#> This is Run number 319
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.1483996 2.7242116 -2.2016004 -9.475788 1
+#> 2 1 -6.20 -3.90 0.6161207 -0.6295322 -5.5838793 -4.529532 2
+#> 3 1 -14.20 -5.80 1.1854530 0.1924272 -13.0145470 -5.607573 2
+#> 4 1 -2.10 -13.20 1.5377837 -1.0678251 -0.5622163 -14.267825 1
+#> 5 1 -1.70 -4.30 2.1805874 -0.6046297 0.4805874 -4.904630 1
+#> 6 1 -6.90 -1.55 5.4894229 -0.5782948 -1.4105771 -2.128295 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4460 -38000 7900
+#> initial value 998.131940
+#> iter 2 value 829.715322
+#> iter 3 value 826.636405
+#> iter 4 value 822.547752
+#> iter 5 value 773.057331
+#> iter 6 value 763.347167
+#> iter 7 value 761.842900
+#> iter 8 value 761.818507
+#> iter 9 value 761.818331
+#> iter 10 value 761.818198
+#> iter 10 value 761.818197
+#> iter 11 value 761.818172
+#> iter 12 value 761.818146
+#> iter 12 value 761.818146
+#> iter 12 value 761.818140
+#> final value 761.818140
+#> converged
+#> This is Run number 320
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.3753233 0.5570453 -3.725323 -11.642955 1
+#> 2 1 -6.20 -3.90 -0.2309047 -0.3836692 -6.430905 -4.283669 2
+#> 3 1 -14.20 -5.80 -1.4438177 2.6131486 -15.643818 -3.186851 2
+#> 4 1 -2.10 -13.20 -1.2698387 0.5359663 -3.369839 -12.664034 1
+#> 5 1 -1.70 -4.30 -1.0831741 1.9307131 -2.783174 -2.369287 2
+#> 6 1 -6.90 -1.55 -0.5103080 0.3051091 -7.410308 -1.244891 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -36850 8925
+#> initial value 998.131940
+#> iter 2 value 838.407718
+#> iter 3 value 838.085741
+#> iter 4 value 834.525346
+#> iter 5 value 778.342303
+#> iter 6 value 769.199156
+#> iter 7 value 767.577129
+#> iter 8 value 767.555248
+#> iter 9 value 767.555182
+#> iter 10 value 767.555047
+#> iter 10 value 767.555044
+#> iter 10 value 767.555044
+#> final value 767.555044
+#> converged
+#> This is Run number 321
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.11453203 0.96558626 -2.464532 -11.2344137 1
+#> 2 1 -6.20 -3.90 0.82490040 0.15541478 -5.375100 -3.7445852 2
+#> 3 1 -14.20 -5.80 0.88302611 -0.74534385 -13.316974 -6.5453438 2
+#> 4 1 -2.10 -13.20 0.02788239 0.08834827 -2.072118 -13.1116517 1
+#> 5 1 -1.70 -4.30 -0.84519287 1.30536320 -2.545193 -2.9946368 1
+#> 6 1 -6.90 -1.55 0.99627741 1.10580163 -5.903723 -0.4441984 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4360 -36850 8950
+#> initial value 998.131940
+#> iter 2 value 838.589855
+#> iter 3 value 821.331773
+#> iter 4 value 820.401747
+#> iter 5 value 779.817517
+#> iter 6 value 771.962535
+#> iter 7 value 771.038786
+#> iter 8 value 771.001125
+#> iter 9 value 771.000462
+#> iter 10 value 771.000386
+#> iter 11 value 771.000152
+#> iter 12 value 770.999904
+#> iter 12 value 770.999904
+#> iter 12 value 770.999904
+#> final value 770.999904
+#> converged
+#> This is Run number 322
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.18015067 2.0662150 -0.1698493 -10.1337850 1
+#> 2 1 -6.20 -3.90 -0.39262975 2.2688184 -6.5926297 -1.6311816 2
+#> 3 1 -14.20 -5.80 -0.04268038 0.7477699 -14.2426804 -5.0522301 2
+#> 4 1 -2.10 -13.20 0.53469112 -0.5808446 -1.5653089 -13.7808446 1
+#> 5 1 -1.70 -4.30 0.05862777 -0.1481890 -1.6413722 -4.4481890 1
+#> 6 1 -6.90 -1.55 1.28109123 1.9930085 -5.6189088 0.4430085 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -37325 7625
+#> initial value 998.131940
+#> iter 2 value 840.875189
+#> iter 3 value 840.551730
+#> iter 4 value 838.288155
+#> iter 5 value 786.831462
+#> iter 6 value 777.231786
+#> iter 7 value 775.731902
+#> iter 8 value 775.703496
+#> iter 9 value 775.703295
+#> iter 10 value 775.703052
+#> iter 11 value 775.703033
+#> iter 12 value 775.702816
+#> iter 12 value 775.702816
+#> iter 12 value 775.702816
+#> final value 775.702816
+#> converged
+#> This is Run number 323
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.3665956 0.2825180 -0.9834044 -11.917482 1
+#> 2 1 -6.20 -3.90 0.6127612 1.7341686 -5.5872388 -2.165831 2
+#> 3 1 -14.20 -5.80 -0.1519671 -1.0007078 -14.3519671 -6.800708 2
+#> 4 1 -2.10 -13.20 1.6936856 -0.7148602 -0.4063144 -13.914860 1
+#> 5 1 -1.70 -4.30 1.0584579 0.6408457 -0.6415421 -3.659154 1
+#> 6 1 -6.90 -1.55 0.1770637 -0.2576885 -6.7229363 -1.807689 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4640 -37700 7575
+#> initial value 998.131940
+#> iter 2 value 835.941052
+#> iter 3 value 833.896210
+#> iter 4 value 830.487093
+#> iter 5 value 780.531764
+#> iter 6 value 770.824538
+#> iter 7 value 769.326654
+#> iter 8 value 769.300087
+#> iter 9 value 769.299826
+#> iter 10 value 769.299692
+#> iter 10 value 769.299692
+#> iter 11 value 769.299665
+#> iter 12 value 769.299645
+#> iter 12 value 769.299645
+#> iter 12 value 769.299642
+#> final value 769.299642
+#> converged
+#> This is Run number 324
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.6095498 0.1545595 -3.9595498 -12.0454405 1
+#> 2 1 -6.20 -3.90 -0.7948233 1.1377169 -6.9948233 -2.7622831 2
+#> 3 1 -14.20 -5.80 0.9254243 0.7005910 -13.2745757 -5.0994090 2
+#> 4 1 -2.10 -13.20 1.0183122 0.4738937 -1.0816878 -12.7261063 1
+#> 5 1 -1.70 -4.30 1.0551136 -0.7145184 -0.6448864 -5.0145184 1
+#> 6 1 -6.90 -1.55 2.3550811 1.0743612 -4.5449189 -0.4756388 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5200 -38400 7625
+#> initial value 998.131940
+#> iter 2 value 825.904493
+#> iter 3 value 824.745706
+#> iter 4 value 822.804180
+#> iter 5 value 775.092225
+#> iter 6 value 765.135946
+#> iter 7 value 763.668773
+#> iter 8 value 763.639846
+#> iter 9 value 763.639425
+#> iter 10 value 763.639184
+#> iter 11 value 763.639159
+#> iter 12 value 763.639061
+#> iter 12 value 763.639061
+#> iter 12 value 763.639061
+#> final value 763.639061
+#> converged
+#> This is Run number 325
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.08004823 1.646815 -2.430048 -10.553185 1
+#> 2 1 -6.20 -3.90 -1.26647767 2.060776 -7.466478 -1.839224 2
+#> 3 1 -14.20 -5.80 0.94376410 3.445090 -13.256236 -2.354910 2
+#> 4 1 -2.10 -13.20 1.27575503 -0.747848 -0.824245 -13.947848 1
+#> 5 1 -1.70 -4.30 -0.08238398 1.210774 -1.782384 -3.089226 1
+#> 6 1 -6.90 -1.55 0.09634849 3.771762 -6.803652 2.221762 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4080 -37350 8600
+#> initial value 998.131940
+#> iter 2 value 834.011222
+#> iter 3 value 832.157674
+#> iter 4 value 828.183437
+#> iter 5 value 774.727268
+#> iter 6 value 765.374464
+#> iter 7 value 763.792828
+#> iter 8 value 763.770421
+#> iter 9 value 763.770356
+#> iter 10 value 763.770156
+#> iter 10 value 763.770152
+#> iter 10 value 763.770142
+#> final value 763.770142
+#> converged
+#> This is Run number 326
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.1262641 1.1000863 -2.223736 -11.0999137 1
+#> 2 1 -6.20 -3.90 2.8121822 -0.5656718 -3.387818 -4.4656718 1
+#> 3 1 -14.20 -5.80 -0.7251008 -0.4584886 -14.925101 -6.2584886 2
+#> 4 1 -2.10 -13.20 0.1328302 -0.9053522 -1.967170 -14.1053522 1
+#> 5 1 -1.70 -4.30 0.4912990 1.1292724 -1.208701 -3.1707276 1
+#> 6 1 -6.90 -1.55 1.1434885 1.8004913 -5.756512 0.2504913 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4280 -37275 8200
+#> initial value 998.131940
+#> iter 2 value 837.776414
+#> iter 3 value 836.298390
+#> iter 4 value 832.747698
+#> iter 5 value 779.898242
+#> iter 6 value 770.467350
+#> iter 7 value 768.933266
+#> iter 8 value 768.909911
+#> iter 9 value 768.909715
+#> iter 10 value 768.909568
+#> iter 10 value 768.909563
+#> iter 11 value 768.909540
+#> iter 12 value 768.909514
+#> iter 12 value 768.909514
+#> iter 12 value 768.909508
+#> final value 768.909508
+#> converged
+#> This is Run number 327
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.6824863 0.14567317 -1.667514 -12.0543268 1
+#> 2 1 -6.20 -3.90 0.7475945 0.24836985 -5.452405 -3.6516302 2
+#> 3 1 -14.20 -5.80 -0.6996589 1.06049502 -14.899659 -4.7395050 2
+#> 4 1 -2.10 -13.20 -1.0510349 -0.03160367 -3.151035 -13.2316037 1
+#> 5 1 -1.70 -4.30 4.3074774 -0.53683986 2.607477 -4.8368399 1
+#> 6 1 -6.90 -1.55 -0.5976344 0.98816940 -7.497634 -0.5618306 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5100 -40050 9000
+#> initial value 998.131940
+#> iter 2 value 792.160040
+#> iter 3 value 788.073753
+#> iter 4 value 786.076290
+#> iter 5 value 741.732576
+#> iter 6 value 732.098497
+#> iter 7 value 730.611237
+#> iter 8 value 730.585748
+#> iter 9 value 730.585382
+#> iter 10 value 730.585185
+#> iter 11 value 730.585090
+#> iter 12 value 730.585057
+#> iter 12 value 730.585057
+#> iter 12 value 730.585057
+#> final value 730.585057
+#> converged
+#> This is Run number 328
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.32937511 0.003805928 -2.020625 -12.1961941 1
+#> 2 1 -6.20 -3.90 -0.03687837 0.601762595 -6.236878 -3.2982374 2
+#> 3 1 -14.20 -5.80 1.70521092 -1.014166795 -12.494789 -6.8141668 2
+#> 4 1 -2.10 -13.20 -0.79496022 0.977414323 -2.894960 -12.2225857 1
+#> 5 1 -1.70 -4.30 0.26777387 1.531307962 -1.432226 -2.7686920 1
+#> 6 1 -6.90 -1.55 0.41951447 1.725749555 -6.480486 0.1757496 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3780 -35150 8575
+#> initial value 998.131940
+#> iter 2 value 861.971581
+#> iter 3 value 845.379050
+#> iter 4 value 843.787778
+#> iter 5 value 799.229883
+#> iter 6 value 791.889621
+#> iter 7 value 790.842214
+#> iter 8 value 790.807692
+#> iter 9 value 790.807162
+#> iter 10 value 790.807042
+#> iter 11 value 790.806921
+#> iter 12 value 790.806837
+#> iter 12 value 790.806837
+#> iter 12 value 790.806837
+#> final value 790.806837
+#> converged
+#> This is Run number 329
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.3236141 0.03215306 -1.026386 -12.167847 1
+#> 2 1 -6.20 -3.90 0.6260122 2.61415117 -5.573988 -1.285849 2
+#> 3 1 -14.20 -5.80 -1.3390005 0.93032192 -15.539000 -4.869678 2
+#> 4 1 -2.10 -13.20 -0.7630594 1.49770858 -2.863059 -11.702291 1
+#> 5 1 -1.70 -4.30 2.3454360 1.08200492 0.645436 -3.217995 1
+#> 6 1 -6.90 -1.55 -1.0245496 0.25987953 -7.924550 -1.290120 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -38700 7800
+#> initial value 998.131940
+#> iter 2 value 820.418563
+#> iter 3 value 817.149290
+#> iter 4 value 813.544399
+#> iter 5 value 766.727417
+#> iter 6 value 756.808717
+#> iter 7 value 755.349228
+#> iter 8 value 755.324180
+#> iter 9 value 755.323964
+#> iter 10 value 755.323920
+#> iter 10 value 755.323917
+#> iter 11 value 755.323821
+#> iter 12 value 755.323729
+#> iter 12 value 755.323720
+#> iter 12 value 755.323715
+#> final value 755.323715
+#> converged
+#> This is Run number 330
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.0189692 -0.3721740 -0.3310308 -12.5721740 1
+#> 2 1 -6.20 -3.90 0.4956781 4.4816717 -5.7043219 0.5816717 2
+#> 3 1 -14.20 -5.80 0.4973945 2.6714371 -13.7026055 -3.1285629 2
+#> 4 1 -2.10 -13.20 -1.8922248 0.7376183 -3.9922248 -12.4623817 1
+#> 5 1 -1.70 -4.30 0.9183052 -1.3090862 -0.7816948 -5.6090862 1
+#> 6 1 -6.90 -1.55 2.2704836 1.2340701 -4.6295164 -0.3159299 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -36375 8025
+#> initial value 998.131940
+#> iter 2 value 850.962064
+#> iter 3 value 837.172515
+#> iter 4 value 836.287512
+#> iter 5 value 794.285280
+#> iter 6 value 786.286638
+#> iter 7 value 785.019516
+#> iter 8 value 784.975732
+#> iter 9 value 784.975011
+#> iter 10 value 784.974823
+#> iter 11 value 784.974596
+#> iter 12 value 784.974448
+#> iter 12 value 784.974448
+#> iter 12 value 784.974448
+#> final value 784.974448
+#> converged
+#> This is Run number 331
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.9453089 1.7746221 -1.404691 -10.425378 1
+#> 2 1 -6.20 -3.90 1.2556415 0.9431160 -4.944359 -2.956884 2
+#> 3 1 -14.20 -5.80 3.4296126 3.0384339 -10.770387 -2.761566 2
+#> 4 1 -2.10 -13.20 -1.5479551 0.3365692 -3.647955 -12.863431 1
+#> 5 1 -1.70 -4.30 -0.2420292 -1.2409274 -1.942029 -5.540927 1
+#> 6 1 -6.90 -1.55 -0.4752975 -0.5160674 -7.375298 -2.066067 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -37350 9150
+#> initial value 998.131940
+#> iter 2 value 830.520661
+#> iter 3 value 812.540472
+#> iter 4 value 811.657374
+#> iter 5 value 772.155317
+#> iter 6 value 764.259078
+#> iter 7 value 763.389165
+#> iter 8 value 763.349504
+#> iter 9 value 763.348839
+#> iter 10 value 763.348606
+#> iter 11 value 763.348331
+#> iter 12 value 763.348220
+#> iter 12 value 763.348220
+#> iter 12 value 763.348220
+#> final value 763.348220
+#> converged
+#> This is Run number 332
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.03339504 -0.1049376 -3.383395 -12.304938 1
+#> 2 1 -6.20 -3.90 3.62585381 -0.6275640 -2.574146 -4.527564 1
+#> 3 1 -14.20 -5.80 1.23429176 -0.1763396 -12.965708 -5.976340 2
+#> 4 1 -2.10 -13.20 -0.15793238 0.1065355 -2.257932 -13.093465 1
+#> 5 1 -1.70 -4.30 -0.03423124 1.3329344 -1.734231 -2.967066 1
+#> 6 1 -6.90 -1.55 0.48816616 2.9540936 -6.411834 1.404094 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4280 -36525 7750
+#> initial value 998.131940
+#> iter 2 value 850.455631
+#> iter 3 value 849.940365
+#> iter 4 value 846.679557
+#> iter 5 value 792.216104
+#> iter 6 value 782.973325
+#> iter 7 value 781.462733
+#> iter 8 value 781.438048
+#> iter 9 value 781.437828
+#> iter 10 value 781.437669
+#> iter 10 value 781.437665
+#> iter 11 value 781.437648
+#> iter 12 value 781.437623
+#> iter 12 value 781.437623
+#> iter 12 value 781.437618
+#> final value 781.437618
+#> converged
+#> This is Run number 333
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.568098196 0.9504155 -1.7819018 -11.249584 1
+#> 2 1 -6.20 -3.90 -0.007041905 1.8301929 -6.2070419 -2.069807 2
+#> 3 1 -14.20 -5.80 0.233002634 4.1630888 -13.9669974 -1.636911 2
+#> 4 1 -2.10 -13.20 1.460384231 1.8244712 -0.6396158 -11.375529 1
+#> 5 1 -1.70 -4.30 1.358434785 0.8916840 -0.3415652 -3.408316 1
+#> 6 1 -6.90 -1.55 -1.310040824 0.8948230 -8.2100408 -0.655177 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5200 -37825 8475
+#> initial value 998.131940
+#> iter 2 value 828.787138
+#> iter 3 value 814.130654
+#> iter 4 value 813.885419
+#> iter 5 value 775.730796
+#> iter 6 value 767.324172
+#> iter 7 value 766.333111
+#> iter 8 value 766.293342
+#> iter 9 value 766.292636
+#> iter 10 value 766.292565
+#> iter 11 value 766.292199
+#> iter 12 value 766.291805
+#> iter 12 value 766.291805
+#> iter 12 value 766.291805
+#> final value 766.291805
+#> converged
+#> This is Run number 334
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.0258353 0.7171625 -1.3241647 -11.482838 1
+#> 2 1 -6.20 -3.90 -1.2152341 1.6388323 -7.4152341 -2.261168 2
+#> 3 1 -14.20 -5.80 0.6182004 -1.4916628 -13.5817996 -7.291663 2
+#> 4 1 -2.10 -13.20 1.3316871 -0.5448819 -0.7683129 -13.744882 1
+#> 5 1 -1.70 -4.30 3.0630830 2.2708661 1.3630830 -2.029134 1
+#> 6 1 -6.90 -1.55 3.8530886 -1.5848449 -3.0469114 -3.134845 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -37375 9100
+#> initial value 998.131940
+#> iter 2 value 830.233918
+#> iter 3 value 829.148920
+#> iter 4 value 825.650362
+#> iter 5 value 771.012272
+#> iter 6 value 761.751413
+#> iter 7 value 760.120142
+#> iter 8 value 760.097359
+#> iter 9 value 760.097269
+#> iter 10 value 760.097162
+#> iter 10 value 760.097157
+#> iter 11 value 760.097139
+#> iter 11 value 760.097138
+#> iter 11 value 760.097138
+#> final value 760.097138
+#> converged
+#> This is Run number 335
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.3328294 4.2298384 -1.017171 -7.9701616 1
+#> 2 1 -6.20 -3.90 0.1168348 1.3899381 -6.083165 -2.5100619 2
+#> 3 1 -14.20 -5.80 0.4635420 0.9743641 -13.736458 -4.8256359 2
+#> 4 1 -2.10 -13.20 0.1926337 -1.4799982 -1.907366 -14.6799982 1
+#> 5 1 -1.70 -4.30 0.3569191 3.2783579 -1.343081 -1.0216421 2
+#> 6 1 -6.90 -1.55 -0.9431867 0.7344258 -7.843187 -0.8155742 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3840 -37750 8650
+#> initial value 998.131940
+#> iter 2 value 827.901111
+#> iter 3 value 823.548219
+#> iter 4 value 817.914759
+#> iter 5 value 766.129174
+#> iter 6 value 756.706826
+#> iter 7 value 755.083296
+#> iter 8 value 755.059760
+#> iter 9 value 755.059706
+#> iter 10 value 755.059632
+#> iter 10 value 755.059632
+#> iter 11 value 755.059618
+#> iter 11 value 755.059608
+#> iter 11 value 755.059608
+#> final value 755.059608
+#> converged
+#> This is Run number 336
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.05405272 -0.3121723 -2.404053 -12.512172 1
+#> 2 1 -6.20 -3.90 -1.35406534 -0.4370171 -7.554065 -4.337017 2
+#> 3 1 -14.20 -5.80 0.39407759 -0.4219773 -13.805922 -6.221977 2
+#> 4 1 -2.10 -13.20 -0.41750973 3.4435164 -2.517510 -9.756484 1
+#> 5 1 -1.70 -4.30 3.42920838 -0.5422797 1.729208 -4.842280 1
+#> 6 1 -6.90 -1.55 1.20834702 -0.2204736 -5.691653 -1.770474 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5300 -39400 8100
+#> initial value 998.131940
+#> iter 2 value 808.210534
+#> iter 3 value 805.820358
+#> iter 4 value 803.945561
+#> iter 5 value 758.885395
+#> iter 6 value 748.876812
+#> iter 7 value 747.450515
+#> iter 8 value 747.426124
+#> iter 8 value 747.426116
+#> final value 747.426116
+#> converged
+#> This is Run number 337
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.3615146 0.465841127 0.01151455 -11.734159 1
+#> 2 1 -6.20 -3.90 1.4266693 0.868963752 -4.77333073 -3.031036 2
+#> 3 1 -14.20 -5.80 -0.1050037 -0.898553133 -14.30500368 -6.698553 2
+#> 4 1 -2.10 -13.20 0.8394285 4.060986348 -1.26057151 -9.139014 1
+#> 5 1 -1.70 -4.30 1.0660875 -0.005384643 -0.63391255 -4.305385 1
+#> 6 1 -6.90 -1.55 0.8312409 -1.249616579 -6.06875905 -2.799617 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -36100 8550
+#> initial value 998.131940
+#> iter 2 value 850.628266
+#> iter 3 value 833.991148
+#> iter 4 value 832.085029
+#> iter 5 value 788.834745
+#> iter 6 value 781.113573
+#> iter 7 value 779.981581
+#> iter 8 value 779.938385
+#> iter 9 value 779.937675
+#> iter 10 value 779.937557
+#> iter 11 value 779.937456
+#> iter 12 value 779.937369
+#> iter 12 value 779.937369
+#> iter 12 value 779.937369
+#> final value 779.937369
+#> converged
+#> This is Run number 338
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.13481131 1.8549120 -2.4848113 -10.3450880 1
+#> 2 1 -6.20 -3.90 -0.18783667 0.6275378 -6.3878367 -3.2724622 2
+#> 3 1 -14.20 -5.80 0.08094756 0.9279929 -14.1190524 -4.8720071 2
+#> 4 1 -2.10 -13.20 1.31875065 0.5862374 -0.7812493 -12.6137626 1
+#> 5 1 -1.70 -4.30 1.01715741 -0.9772870 -0.6828426 -5.2772870 1
+#> 6 1 -6.90 -1.55 0.14061554 0.9068241 -6.7593845 -0.6431759 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -37450 8700
+#> initial value 998.131940
+#> iter 2 value 832.253048
+#> iter 3 value 831.871384
+#> iter 4 value 829.359243
+#> iter 5 value 775.889588
+#> iter 6 value 766.476079
+#> iter 7 value 764.915595
+#> iter 8 value 764.893199
+#> iter 9 value 764.893103
+#> iter 10 value 764.892827
+#> iter 10 value 764.892825
+#> iter 10 value 764.892824
+#> final value 764.892824
+#> converged
+#> This is Run number 339
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.4806763 -0.3434773 -1.869324 -12.543477 1
+#> 2 1 -6.20 -3.90 -0.7311430 1.3957551 -6.931143 -2.504245 2
+#> 3 1 -14.20 -5.80 -0.3393032 0.5332388 -14.539303 -5.266761 2
+#> 4 1 -2.10 -13.20 -1.5747877 4.1202421 -3.674788 -9.079758 1
+#> 5 1 -1.70 -4.30 -1.8668259 0.7690169 -3.566826 -3.530983 2
+#> 6 1 -6.90 -1.55 0.0567027 0.3727198 -6.843297 -1.177280 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -37750 7375
+#> initial value 998.131940
+#> iter 2 value 836.501650
+#> iter 3 value 835.328063
+#> iter 4 value 832.756866
+#> iter 5 value 783.329100
+#> iter 6 value 773.548146
+#> iter 7 value 772.051236
+#> iter 8 value 772.021740
+#> iter 9 value 772.021622
+#> iter 10 value 772.021260
+#> iter 10 value 772.021258
+#> iter 11 value 772.021212
+#> iter 12 value 772.021155
+#> iter 12 value 772.021147
+#> iter 12 value 772.021145
+#> final value 772.021145
+#> converged
+#> This is Run number 340
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.8428087 -0.08063064 0.4928087 -12.2806306 1
+#> 2 1 -6.20 -3.90 -0.3494448 0.45031491 -6.5494448 -3.4496851 2
+#> 3 1 -14.20 -5.80 -0.7005161 -0.75202841 -14.9005161 -6.5520284 2
+#> 4 1 -2.10 -13.20 1.2314487 0.23353287 -0.8685513 -12.9664671 1
+#> 5 1 -1.70 -4.30 -0.3562897 -0.60162847 -2.0562897 -4.9016285 1
+#> 6 1 -6.90 -1.55 0.7220403 0.93117733 -6.1779597 -0.6188227 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5420 -38350 6650
+#> initial value 998.131940
+#> iter 2 value 831.917922
+#> iter 3 value 830.353555
+#> iter 4 value 827.936134
+#> iter 5 value 782.067862
+#> iter 6 value 771.993065
+#> iter 7 value 770.431270
+#> iter 8 value 770.394641
+#> iter 9 value 770.394533
+#> iter 10 value 770.394282
+#> iter 10 value 770.394281
+#> iter 11 value 770.394269
+#> iter 12 value 770.394232
+#> iter 12 value 770.394232
+#> iter 12 value 770.394230
+#> final value 770.394230
+#> converged
+#> This is Run number 341
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.6648172 0.1902768 -3.0148172 -12.009723 1
+#> 2 1 -6.20 -3.90 -0.7299907 2.5162544 -6.9299907 -1.383746 2
+#> 3 1 -14.20 -5.80 1.9522680 1.7075664 -12.2477320 -4.092434 2
+#> 4 1 -2.10 -13.20 2.2515854 -1.2463174 0.1515854 -14.446317 1
+#> 5 1 -1.70 -4.30 0.4594931 -0.5560680 -1.2405069 -4.856068 1
+#> 6 1 -6.90 -1.55 2.6000194 0.5341917 -4.2999806 -1.015808 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -37825 8375
+#> initial value 998.131940
+#> iter 2 value 829.420865
+#> iter 3 value 814.593036
+#> iter 4 value 813.838305
+#> iter 5 value 775.081647
+#> iter 6 value 766.682842
+#> iter 7 value 765.571508
+#> iter 8 value 765.523262
+#> iter 9 value 765.522337
+#> iter 10 value 765.522292
+#> iter 11 value 765.522025
+#> iter 12 value 765.521669
+#> iter 12 value 765.521669
+#> iter 12 value 765.521669
+#> final value 765.521669
+#> converged
+#> This is Run number 342
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.6243097 0.1174706 -2.974310 -12.0825294 1
+#> 2 1 -6.20 -3.90 1.4999443 -0.8013762 -4.700056 -4.7013762 1
+#> 3 1 -14.20 -5.80 -0.8400997 -0.4029012 -15.040100 -6.2029012 2
+#> 4 1 -2.10 -13.20 -0.9653595 1.1948907 -3.065360 -12.0051093 1
+#> 5 1 -1.70 -4.30 0.5619034 0.8299371 -1.138097 -3.4700629 1
+#> 6 1 -6.90 -1.55 0.3607815 1.9144086 -6.539218 0.3644086 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -38200 7575
+#> initial value 998.131940
+#> iter 2 value 828.911659
+#> iter 3 value 825.761727
+#> iter 4 value 821.824442
+#> iter 5 value 773.714562
+#> iter 6 value 763.866047
+#> iter 7 value 762.379185
+#> iter 8 value 762.353146
+#> iter 9 value 762.352912
+#> iter 10 value 762.352890
+#> iter 10 value 762.352888
+#> iter 11 value 762.352868
+#> iter 12 value 762.352795
+#> iter 12 value 762.352790
+#> iter 12 value 762.352780
+#> final value 762.352780
+#> converged
+#> This is Run number 343
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.4892242 0.5897127 -1.860776 -11.610287 1
+#> 2 1 -6.20 -3.90 0.9877185 1.1073731 -5.212281 -2.792627 2
+#> 3 1 -14.20 -5.80 -0.8685674 2.8156903 -15.068567 -2.984310 2
+#> 4 1 -2.10 -13.20 -0.5260037 -0.6761472 -2.626004 -13.876147 1
+#> 5 1 -1.70 -4.30 -0.3720512 1.7510678 -2.072051 -2.548932 1
+#> 6 1 -6.90 -1.55 0.1896357 -1.3148288 -6.710364 -2.864829 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5020 -37675 7525
+#> initial value 998.131940
+#> iter 2 value 836.707100
+#> iter 3 value 836.234282
+#> iter 4 value 834.209621
+#> iter 5 value 784.175921
+#> iter 6 value 774.426170
+#> iter 7 value 772.930076
+#> iter 8 value 772.900182
+#> iter 9 value 772.900034
+#> iter 10 value 772.899653
+#> iter 11 value 772.899629
+#> iter 12 value 772.899439
+#> iter 12 value 772.899439
+#> iter 12 value 772.899439
+#> final value 772.899439
+#> converged
+#> This is Run number 344
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.09388583 1.968030160 -2.256114 -10.231970 1
+#> 2 1 -6.20 -3.90 4.29283488 -0.161408392 -1.907165 -4.061408 1
+#> 3 1 -14.20 -5.80 0.02505046 0.008504598 -14.174950 -5.791495 2
+#> 4 1 -2.10 -13.20 0.44894600 0.639437085 -1.651054 -12.560563 1
+#> 5 1 -1.70 -4.30 -0.85119844 -0.107543965 -2.551198 -4.407544 1
+#> 6 1 -6.90 -1.55 0.93272524 -0.865274423 -5.967275 -2.415274 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4900 -39200 7900
+#> initial value 998.131940
+#> iter 2 value 812.414262
+#> iter 3 value 808.579023
+#> iter 4 value 804.960195
+#> iter 5 value 759.771488
+#> iter 6 value 749.798322
+#> iter 7 value 748.363417
+#> iter 8 value 748.339039
+#> iter 9 value 748.338935
+#> iter 10 value 748.338571
+#> iter 10 value 748.338561
+#> iter 11 value 748.338511
+#> iter 11 value 748.338504
+#> iter 11 value 748.338501
+#> final value 748.338501
+#> converged
+#> This is Run number 345
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.6368384 -1.5719205 -1.713162 -13.771921 1
+#> 2 1 -6.20 -3.90 -0.3814138 0.6502442 -6.581414 -3.249756 2
+#> 3 1 -14.20 -5.80 1.7802192 -0.7996534 -12.419781 -6.599653 2
+#> 4 1 -2.10 -13.20 -0.4202401 -1.0784503 -2.520240 -14.278450 1
+#> 5 1 -1.70 -4.30 0.7905430 -0.2944579 -0.909457 -4.594458 1
+#> 6 1 -6.90 -1.55 2.1565441 -0.4206706 -4.743456 -1.970671 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5260 -38975 8375
+#> initial value 998.131940
+#> iter 2 value 812.859220
+#> iter 3 value 811.411150
+#> iter 4 value 810.091384
+#> iter 5 value 762.950810
+#> iter 6 value 753.044135
+#> iter 7 value 751.574684
+#> iter 8 value 751.551055
+#> iter 9 value 751.550891
+#> iter 10 value 751.550402
+#> iter 10 value 751.550401
+#> iter 10 value 751.550395
+#> final value 751.550395
+#> converged
+#> This is Run number 346
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.1846255 -0.8965648 -1.1653745 -13.096565 1
+#> 2 1 -6.20 -3.90 0.4464393 2.8688027 -5.7535607 -1.031197 2
+#> 3 1 -14.20 -5.80 0.3236778 0.9421250 -13.8763222 -4.857875 2
+#> 4 1 -2.10 -13.20 -0.2979886 0.3751373 -2.3979886 -12.824863 1
+#> 5 1 -1.70 -4.30 1.5441655 0.8126519 -0.1558345 -3.487348 1
+#> 6 1 -6.90 -1.55 0.4068959 -0.4614455 -6.4931041 -2.011445 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -38725 9325
+#> initial value 998.131940
+#> iter 2 value 810.013955
+#> iter 3 value 808.970048
+#> iter 4 value 808.019637
+#> iter 5 value 758.018767
+#> iter 6 value 748.406896
+#> iter 7 value 746.852543
+#> iter 8 value 746.830282
+#> iter 9 value 746.829963
+#> iter 10 value 746.829834
+#> iter 10 value 746.829824
+#> iter 10 value 746.829824
+#> final value 746.829824
+#> converged
+#> This is Run number 347
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.4121215 1.5528802 -2.762122 -10.6471198 1
+#> 2 1 -6.20 -3.90 1.4092585 0.6026812 -4.790741 -3.2973188 2
+#> 3 1 -14.20 -5.80 1.2208087 0.1665696 -12.979191 -5.6334304 2
+#> 4 1 -2.10 -13.20 -0.4504359 1.7127610 -2.550436 -11.4872390 1
+#> 5 1 -1.70 -4.30 -0.7336525 -0.6945650 -2.433652 -4.9945650 1
+#> 6 1 -6.90 -1.55 0.0815609 0.9401294 -6.818439 -0.6098706 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -38800 9125
+#> initial value 998.131940
+#> iter 2 value 810.184489
+#> iter 3 value 807.209052
+#> iter 4 value 804.356523
+#> iter 5 value 755.062416
+#> iter 6 value 745.525249
+#> iter 7 value 743.959010
+#> iter 8 value 743.934783
+#> iter 9 value 743.934569
+#> iter 10 value 743.934435
+#> iter 10 value 743.934430
+#> iter 10 value 743.934430
+#> final value 743.934430
+#> converged
+#> This is Run number 348
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.5015715 1.0594119 -0.8484285 -11.1405881 1
+#> 2 1 -6.20 -3.90 3.3432611 -0.5466615 -2.8567389 -4.4466615 1
+#> 3 1 -14.20 -5.80 1.8423747 5.2175165 -12.3576253 -0.5824835 2
+#> 4 1 -2.10 -13.20 0.7438291 -0.4760446 -1.3561709 -13.6760446 1
+#> 5 1 -1.70 -4.30 0.8662467 -0.6281226 -0.8337533 -4.9281226 1
+#> 6 1 -6.90 -1.55 -0.5520316 -0.2359703 -7.4520316 -1.7859703 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -37525 7750
+#> initial value 998.131940
+#> iter 2 value 837.315645
+#> iter 3 value 835.832299
+#> iter 4 value 832.701324
+#> iter 5 value 781.718182
+#> iter 6 value 772.098115
+#> iter 7 value 770.598166
+#> iter 8 value 770.572207
+#> iter 9 value 770.571892
+#> iter 10 value 770.571782
+#> iter 10 value 770.571779
+#> iter 11 value 770.571760
+#> iter 12 value 770.571701
+#> iter 12 value 770.571700
+#> iter 12 value 770.571698
+#> final value 770.571698
+#> converged
+#> This is Run number 349
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.2588168 0.9466098 -2.091183 -11.253390 1
+#> 2 1 -6.20 -3.90 -0.5067760 1.3309883 -6.706776 -2.569012 2
+#> 3 1 -14.20 -5.80 -0.4059966 2.4095002 -14.605997 -3.390500 2
+#> 4 1 -2.10 -13.20 -0.2186545 -1.0721353 -2.318654 -14.272135 1
+#> 5 1 -1.70 -4.30 0.8688000 0.5195806 -0.831200 -3.780419 1
+#> 6 1 -6.90 -1.55 -0.4139487 3.1344057 -7.313949 1.584406 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -37675 7775
+#> initial value 998.131940
+#> iter 2 value 835.213850
+#> iter 3 value 834.600581
+#> iter 4 value 832.404093
+#> iter 5 value 781.832012
+#> iter 6 value 772.134762
+#> iter 7 value 770.641841
+#> iter 8 value 770.614211
+#> iter 9 value 770.613840
+#> iter 10 value 770.613619
+#> iter 11 value 770.613593
+#> iter 12 value 770.613510
+#> iter 12 value 770.613510
+#> iter 12 value 770.613510
+#> final value 770.613510
+#> converged
+#> This is Run number 350
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.1850442 -1.9085254 -3.53504425 -14.108525 1
+#> 2 1 -6.20 -3.90 2.3496479 0.2835548 -3.85035209 -3.616445 2
+#> 3 1 -14.20 -5.80 0.4707051 -0.7012381 -13.72929492 -6.501238 2
+#> 4 1 -2.10 -13.20 0.9992192 0.5121621 -1.10078076 -12.687838 1
+#> 5 1 -1.70 -4.30 1.6303417 -0.4631115 -0.06965833 -4.763111 1
+#> 6 1 -6.90 -1.55 3.0592815 -0.0319308 -3.84071847 -1.581931 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5040 -36325 7350
+#> initial value 998.131940
+#> iter 2 value 855.655712
+#> iter 3 value 844.304044
+#> iter 4 value 843.608121
+#> iter 5 value 801.261649
+#> iter 6 value 793.188970
+#> iter 7 value 791.602610
+#> iter 8 value 791.550451
+#> iter 9 value 791.549687
+#> iter 10 value 791.549482
+#> iter 11 value 791.549210
+#> iter 12 value 791.549052
+#> iter 12 value 791.549052
+#> iter 12 value 791.549052
+#> final value 791.549052
+#> converged
+#> This is Run number 351
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.02725301 -0.07871375 -2.322747 -12.278714 1
+#> 2 1 -6.20 -3.90 0.44469648 0.42041939 -5.755304 -3.479581 2
+#> 3 1 -14.20 -5.80 1.04522481 -0.41606128 -13.154775 -6.216061 2
+#> 4 1 -2.10 -13.20 0.15561969 0.68066569 -1.944380 -12.519334 1
+#> 5 1 -1.70 -4.30 -0.34403593 -0.52488190 -2.044036 -4.824882 1
+#> 6 1 -6.90 -1.55 0.09023588 -0.57255445 -6.809764 -2.122554 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5360 -39125 8025
+#> initial value 998.131940
+#> iter 2 value 812.828852
+#> iter 3 value 811.144174
+#> iter 4 value 809.614531
+#> iter 5 value 763.696158
+#> iter 6 value 753.672789
+#> iter 7 value 752.233554
+#> iter 8 value 752.208006
+#> iter 9 value 752.207689
+#> iter 10 value 752.207453
+#> iter 11 value 752.207422
+#> iter 12 value 752.207163
+#> iter 12 value 752.207163
+#> iter 12 value 752.207163
+#> final value 752.207163
+#> converged
+#> This is Run number 352
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.4932167 0.3573756 -1.8567833 -11.842624 1
+#> 2 1 -6.20 -3.90 -1.3268986 0.4158702 -7.5268986 -3.484130 2
+#> 3 1 -14.20 -5.80 0.2286973 0.5076002 -13.9713027 -5.292400 2
+#> 4 1 -2.10 -13.20 -0.9213876 -1.4873946 -3.0213876 -14.687395 1
+#> 5 1 -1.70 -4.30 1.1164906 0.1165619 -0.5835094 -4.183438 1
+#> 6 1 -6.90 -1.55 -1.0190904 -0.3117040 -7.9190904 -1.861704 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5300 -39625 7775
+#> initial value 998.131940
+#> iter 2 value 806.750988
+#> iter 3 value 803.618306
+#> iter 4 value 801.046348
+#> iter 5 value 757.489005
+#> iter 6 value 747.382988
+#> iter 7 value 745.987785
+#> iter 8 value 745.962597
+#> iter 9 value 745.962393
+#> iter 10 value 745.961934
+#> iter 10 value 745.961933
+#> iter 11 value 745.961902
+#> iter 12 value 745.961853
+#> iter 12 value 745.961849
+#> iter 12 value 745.961846
+#> final value 745.961846
+#> converged
+#> This is Run number 353
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.7170833 2.5733882 -3.067083 -9.6266118 1
+#> 2 1 -6.20 -3.90 0.6529054 1.8761164 -5.547095 -2.0238836 2
+#> 3 1 -14.20 -5.80 2.6729008 -0.3976310 -11.527099 -6.1976310 2
+#> 4 1 -2.10 -13.20 0.7721255 -0.2293782 -1.327875 -13.4293782 1
+#> 5 1 -1.70 -4.30 0.6514440 -0.7152350 -1.048556 -5.0152350 1
+#> 6 1 -6.90 -1.55 2.5120085 1.2303612 -4.387991 -0.3196388 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5120 -39075 8250
+#> initial value 998.131940
+#> iter 2 value 812.166368
+#> iter 3 value 809.947693
+#> iter 4 value 807.922350
+#> iter 5 value 761.386914
+#> iter 6 value 751.475741
+#> iter 7 value 750.021328
+#> iter 8 value 749.997426
+#> iter 9 value 749.997279
+#> iter 10 value 749.996765
+#> iter 10 value 749.996758
+#> iter 11 value 749.996709
+#> iter 12 value 749.996693
+#> iter 12 value 749.996693
+#> iter 12 value 749.996688
+#> final value 749.996688
+#> converged
+#> This is Run number 354
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.9593125 3.1568158 -3.309313 -9.043184 1
+#> 2 1 -6.20 -3.90 0.8035982 -0.2137574 -5.396402 -4.113757 2
+#> 3 1 -14.20 -5.80 3.0211218 0.0174555 -11.178878 -5.782545 2
+#> 4 1 -2.10 -13.20 -1.4069203 1.4065448 -3.506920 -11.793455 1
+#> 5 1 -1.70 -4.30 -0.3215421 0.4220955 -2.021542 -3.877905 1
+#> 6 1 -6.90 -1.55 0.5420814 0.1349934 -6.357919 -1.415007 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3300 -35775 8150
+#> initial value 998.131940
+#> iter 2 value 856.390439
+#> iter 3 value 853.539316
+#> iter 4 value 847.826197
+#> iter 5 value 789.761415
+#> iter 6 value 780.852346
+#> iter 7 value 779.221403
+#> iter 8 value 779.200258
+#> iter 9 value 779.200242
+#> iter 10 value 779.200222
+#> iter 11 value 779.200206
+#> iter 12 value 779.200194
+#> iter 12 value 779.200194
+#> iter 12 value 779.200194
+#> final value 779.200194
+#> converged
+#> This is Run number 355
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.9130030 -0.5354161 -3.2630030 -12.7354161 1
+#> 2 1 -6.20 -3.90 4.6493690 2.4731354 -1.5506310 -1.4268646 2
+#> 3 1 -14.20 -5.80 -0.1586258 2.6252377 -14.3586258 -3.1747623 2
+#> 4 1 -2.10 -13.20 -1.4270052 1.0014141 -3.5270052 -12.1985859 1
+#> 5 1 -1.70 -4.30 1.3353345 -0.7633856 -0.3646655 -5.0633856 1
+#> 6 1 -6.90 -1.55 1.0115954 1.6759113 -5.8884046 0.1259113 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4360 -38575 8000
+#> initial value 998.131940
+#> iter 2 value 820.773784
+#> iter 3 value 815.769247
+#> iter 4 value 810.554168
+#> iter 5 value 763.155982
+#> iter 6 value 753.357496
+#> iter 7 value 751.850293
+#> iter 8 value 751.826264
+#> iter 9 value 751.826205
+#> iter 10 value 751.826054
+#> iter 10 value 751.826047
+#> iter 10 value 751.826038
+#> final value 751.826038
+#> converged
+#> This is Run number 356
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.2673822 -0.4425560 -2.617382 -12.642556 1
+#> 2 1 -6.20 -3.90 -0.6103810 0.5189101 -6.810381 -3.381090 2
+#> 3 1 -14.20 -5.80 -1.2198702 -0.1028806 -15.419870 -5.902881 2
+#> 4 1 -2.10 -13.20 -0.6940676 -0.3398060 -2.794068 -13.539806 1
+#> 5 1 -1.70 -4.30 -0.3623592 -0.5632029 -2.062359 -4.863203 1
+#> 6 1 -6.90 -1.55 3.4075988 0.8266540 -3.492401 -0.723346 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4920 -38300 8125
+#> initial value 998.131940
+#> iter 2 value 824.280168
+#> iter 3 value 822.916682
+#> iter 4 value 820.722446
+#> iter 5 value 771.626461
+#> iter 6 value 761.831671
+#> iter 7 value 760.348396
+#> iter 8 value 760.323333
+#> iter 9 value 760.323000
+#> iter 10 value 760.322777
+#> iter 11 value 760.322755
+#> iter 12 value 760.322652
+#> iter 12 value 760.322652
+#> iter 12 value 760.322652
+#> final value 760.322652
+#> converged
+#> This is Run number 357
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.04024916 1.3536944 -2.390249 -10.8463056 1
+#> 2 1 -6.20 -3.90 -0.21442790 -0.3396637 -6.414428 -4.2396637 2
+#> 3 1 -14.20 -5.80 0.73330105 -0.2023386 -13.466699 -6.0023386 2
+#> 4 1 -2.10 -13.20 -0.13240561 0.4959580 -2.232406 -12.7040420 1
+#> 5 1 -1.70 -4.30 2.75512332 0.5772776 1.055123 -3.7227224 1
+#> 6 1 -6.90 -1.55 0.29672144 1.0355686 -6.603279 -0.5144314 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -36500 7725
+#> initial value 998.131940
+#> iter 2 value 851.138948
+#> iter 3 value 838.003282
+#> iter 4 value 836.659162
+#> iter 5 value 794.303189
+#> iter 6 value 786.211620
+#> iter 7 value 784.748440
+#> iter 8 value 784.694857
+#> iter 9 value 784.693989
+#> iter 10 value 784.693821
+#> iter 11 value 784.693634
+#> iter 12 value 784.693503
+#> iter 12 value 784.693503
+#> iter 12 value 784.693503
+#> final value 784.693503
+#> converged
+#> This is Run number 358
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.0980772 0.8544942 -1.251923 -11.345506 1
+#> 2 1 -6.20 -3.90 -0.0453205 -0.2242260 -6.245320 -4.124226 2
+#> 3 1 -14.20 -5.80 1.8688299 0.3509649 -12.331170 -5.449035 2
+#> 4 1 -2.10 -13.20 0.2958235 1.1600146 -1.804177 -12.039985 1
+#> 5 1 -1.70 -4.30 0.5372542 -1.1002943 -1.162746 -5.400294 1
+#> 6 1 -6.90 -1.55 -1.5984372 -0.6500652 -8.498437 -2.200065 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -38350 7525
+#> initial value 998.131940
+#> iter 2 value 827.178317
+#> iter 3 value 825.209564
+#> iter 4 value 822.441111
+#> iter 5 value 774.818113
+#> iter 6 value 764.886907
+#> iter 7 value 763.418276
+#> iter 8 value 763.390383
+#> iter 9 value 763.390030
+#> iter 10 value 763.389855
+#> iter 10 value 763.389854
+#> iter 11 value 763.389815
+#> iter 12 value 763.389788
+#> iter 12 value 763.389787
+#> iter 12 value 763.389782
+#> final value 763.389782
+#> converged
+#> This is Run number 359
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.5656040 -0.5418719 0.2156040 -12.74187185 1
+#> 2 1 -6.20 -3.90 2.0919263 -0.7147554 -4.1080737 -4.61475538 1
+#> 3 1 -14.20 -5.80 2.9202250 1.0211659 -11.2797750 -4.77883407 2
+#> 4 1 -2.10 -13.20 0.4856633 -0.3165639 -1.6143367 -13.51656390 1
+#> 5 1 -1.70 -4.30 2.2662467 -0.3031476 0.5662467 -4.60314761 1
+#> 6 1 -6.90 -1.55 0.7659175 1.5254841 -6.1340825 -0.02451594 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3520 -35325 9125
+#> initial value 998.131940
+#> iter 2 value 855.837566
+#> iter 3 value 836.901798
+#> iter 4 value 835.091158
+#> iter 5 value 791.021389
+#> iter 6 value 783.817984
+#> iter 7 value 782.922565
+#> iter 8 value 782.889931
+#> iter 9 value 782.889419
+#> iter 10 value 782.889318
+#> iter 11 value 782.889222
+#> iter 12 value 782.889146
+#> iter 12 value 782.889146
+#> iter 12 value 782.889146
+#> final value 782.889146
+#> converged
+#> This is Run number 360
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.3616998 -1.3274841 -1.988300 -13.527484 1
+#> 2 1 -6.20 -3.90 0.3440959 0.7921910 -5.855904 -3.107809 2
+#> 3 1 -14.20 -5.80 -0.8539081 2.3750007 -15.053908 -3.424999 2
+#> 4 1 -2.10 -13.20 -0.6520002 -0.2052735 -2.752000 -13.405274 1
+#> 5 1 -1.70 -4.30 -0.3327177 0.8926853 -2.032718 -3.407315 1
+#> 6 1 -6.90 -1.55 1.9245888 -0.3060775 -4.975411 -1.856078 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4020 -36000 8775
+#> initial value 998.131940
+#> iter 2 value 850.477007
+#> iter 3 value 833.417475
+#> iter 4 value 832.034289
+#> iter 5 value 789.331384
+#> iter 6 value 781.718467
+#> iter 7 value 780.717200
+#> iter 8 value 780.680305
+#> iter 9 value 780.679679
+#> iter 10 value 780.679539
+#> iter 11 value 780.679386
+#> iter 12 value 780.679275
+#> iter 12 value 780.679275
+#> iter 12 value 780.679275
+#> final value 780.679275
+#> converged
+#> This is Run number 361
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.8125219 -0.14448129 -1.537478 -12.344481 1
+#> 2 1 -6.20 -3.90 -0.4058512 1.46576371 -6.605851 -2.434236 2
+#> 3 1 -14.20 -5.80 1.2509710 -0.30881613 -12.949029 -6.108816 2
+#> 4 1 -2.10 -13.20 -0.1160869 -1.36223617 -2.216087 -14.562236 1
+#> 5 1 -1.70 -4.30 -0.8137025 -0.59355456 -2.513702 -4.893555 1
+#> 6 1 -6.90 -1.55 0.3535598 -0.06685588 -6.546440 -1.616856 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -36650 7575
+#> initial value 998.131940
+#> iter 2 value 850.142546
+#> iter 3 value 837.709710
+#> iter 4 value 836.585439
+#> iter 5 value 794.661852
+#> iter 6 value 786.488407
+#> iter 7 value 784.962493
+#> iter 8 value 784.906932
+#> iter 9 value 784.906035
+#> iter 10 value 784.905849
+#> iter 11 value 784.905628
+#> iter 12 value 784.905479
+#> iter 12 value 784.905479
+#> iter 12 value 784.905479
+#> final value 784.905479
+#> converged
+#> This is Run number 362
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.41667219 1.0259871 -1.933328 -11.1740129 1
+#> 2 1 -6.20 -3.90 -1.10481858 -0.5895523 -7.304819 -4.4895523 2
+#> 3 1 -14.20 -5.80 0.85362258 -0.9780296 -13.346377 -6.7780296 2
+#> 4 1 -2.10 -13.20 0.47161334 -0.2051299 -1.628387 -13.4051299 1
+#> 5 1 -1.70 -4.30 -0.82335686 0.2377046 -2.523357 -4.0622954 1
+#> 6 1 -6.90 -1.55 -0.05726535 2.0811237 -6.957265 0.5311237 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5300 -37925 7500
+#> initial value 998.131940
+#> iter 2 value 833.380402
+#> iter 3 value 833.307704
+#> iter 4 value 831.927023
+#> iter 5 value 782.829644
+#> iter 6 value 772.959988
+#> iter 7 value 771.459781
+#> iter 8 value 771.427580
+#> iter 9 value 771.427553
+#> iter 10 value 771.427098
+#> iter 10 value 771.427093
+#> iter 11 value 771.427010
+#> iter 12 value 771.426963
+#> iter 13 value 771.426863
+#> iter 14 value 771.426768
+#> iter 15 value 771.426711
+#> iter 15 value 771.426709
+#> iter 15 value 771.426709
+#> final value 771.426709
+#> converged
+#> This is Run number 363
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.0319117 -0.32232246 -1.3180883 -12.522322 1
+#> 2 1 -6.20 -3.90 2.5591554 -1.51283062 -3.6408446 -5.412831 1
+#> 3 1 -14.20 -5.80 2.0385169 0.29091156 -12.1614831 -5.509088 2
+#> 4 1 -2.10 -13.20 0.7341922 -0.66802925 -1.3658078 -13.868029 1
+#> 5 1 -1.70 -4.30 1.6768152 -0.35699609 -0.0231848 -4.656996 1
+#> 6 1 -6.90 -1.55 3.3963502 -0.09066931 -3.5036498 -1.640669 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5060 -38575 6850
+#> initial value 998.131940
+#> iter 2 value 827.621372
+#> iter 3 value 824.321264
+#> iter 4 value 820.557081
+#> iter 5 value 775.225503
+#> iter 6 value 765.122933
+#> iter 7 value 763.607487
+#> iter 8 value 763.575720
+#> iter 9 value 763.575684
+#> iter 10 value 763.575550
+#> iter 10 value 763.575550
+#> iter 11 value 763.575532
+#> iter 11 value 763.575530
+#> iter 11 value 763.575530
+#> final value 763.575530
+#> converged
+#> This is Run number 364
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.29979394 -0.6037298 -2.6497939 -12.8037298 1
+#> 2 1 -6.20 -3.90 0.03807352 -0.1663083 -6.1619265 -4.0663083 2
+#> 3 1 -14.20 -5.80 2.72995932 1.9812275 -11.4700407 -3.8187725 2
+#> 4 1 -2.10 -13.20 1.90996878 1.1388078 -0.1900312 -12.0611922 1
+#> 5 1 -1.70 -4.30 0.25892334 -0.2321796 -1.4410767 -4.5321796 1
+#> 6 1 -6.90 -1.55 0.03012699 1.0433253 -6.8698730 -0.5066747 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -36275 6325
+#> initial value 998.131940
+#> iter 2 value 861.584523
+#> iter 3 value 861.523344
+#> iter 4 value 859.337440
+#> iter 5 value 807.350677
+#> iter 6 value 798.125719
+#> iter 7 value 796.476223
+#> iter 8 value 796.440430
+#> iter 9 value 796.440323
+#> iter 10 value 796.440172
+#> iter 10 value 796.440172
+#> iter 11 value 796.440143
+#> iter 11 value 796.440138
+#> iter 11 value 796.440136
+#> final value 796.440136
+#> converged
+#> This is Run number 365
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.01219397 0.99723082 -2.362194 -11.20276918 1
+#> 2 1 -6.20 -3.90 0.40405388 0.92371048 -5.795946 -2.97628952 2
+#> 3 1 -14.20 -5.80 -0.86655613 2.36137305 -15.066556 -3.43862695 2
+#> 4 1 -2.10 -13.20 0.95352422 1.05295476 -1.146476 -12.14704524 1
+#> 5 1 -1.70 -4.30 0.01023586 0.05682467 -1.689764 -4.24317533 1
+#> 6 1 -6.90 -1.55 0.91569490 1.53576201 -5.984305 -0.01423799 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4280 -36900 7700
+#> initial value 998.131940
+#> iter 2 value 845.831101
+#> iter 3 value 844.239232
+#> iter 4 value 840.488750
+#> iter 5 value 787.476003
+#> iter 6 value 778.081914
+#> iter 7 value 776.562961
+#> iter 8 value 776.538196
+#> iter 9 value 776.537983
+#> iter 10 value 776.537886
+#> iter 10 value 776.537885
+#> iter 10 value 776.537876
+#> final value 776.537876
+#> converged
+#> This is Run number 366
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.6498272 -0.59861619 -1.70017282 -12.7986162 1
+#> 2 1 -6.20 -3.90 -0.4667719 2.46168700 -6.66677190 -1.4383130 2
+#> 3 1 -14.20 -5.80 4.0090419 -0.83283052 -10.19095813 -6.6328305 2
+#> 4 1 -2.10 -13.20 1.1494080 -0.01759811 -0.95059204 -13.2175981 1
+#> 5 1 -1.70 -4.30 1.6530773 1.69424169 -0.04692274 -2.6057583 1
+#> 6 1 -6.90 -1.55 2.4524643 0.56926992 -4.44753569 -0.9807301 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4360 -37900 7675
+#> initial value 998.131940
+#> iter 2 value 832.383563
+#> iter 3 value 828.549410
+#> iter 4 value 823.821572
+#> iter 5 value 774.533144
+#> iter 6 value 764.802990
+#> iter 7 value 763.285501
+#> iter 8 value 763.260523
+#> iter 9 value 763.260403
+#> iter 10 value 763.260322
+#> iter 10 value 763.260321
+#> iter 10 value 763.260312
+#> final value 763.260312
+#> converged
+#> This is Run number 367
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.0012587 1.3007304 -1.3487413 -10.89926959 1
+#> 2 1 -6.20 -3.90 0.4371126 0.6676350 -5.7628874 -3.23236499 2
+#> 3 1 -14.20 -5.80 6.3081166 0.2094593 -7.8918834 -5.59054070 2
+#> 4 1 -2.10 -13.20 1.2640702 -0.6684124 -0.8359298 -13.86841245 1
+#> 5 1 -1.70 -4.30 -0.5608723 4.3784805 -2.2608723 0.07848048 2
+#> 6 1 -6.90 -1.55 -1.2975348 3.8186456 -8.1975348 2.26864562 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4120 -37175 8700
+#> initial value 998.131940
+#> iter 2 value 835.759147
+#> iter 3 value 834.829143
+#> iter 4 value 831.380967
+#> iter 5 value 776.967391
+#> iter 6 value 767.674711
+#> iter 7 value 766.090007
+#> iter 8 value 766.067846
+#> iter 9 value 766.067774
+#> iter 10 value 766.067564
+#> iter 10 value 766.067553
+#> iter 11 value 766.067541
+#> iter 12 value 766.067529
+#> iter 12 value 766.067529
+#> iter 12 value 766.067527
+#> final value 766.067527
+#> converged
+#> This is Run number 368
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.4277897 0.2171758 -2.777790 -11.982824 1
+#> 2 1 -6.20 -3.90 -1.5631224 1.3302739 -7.763122 -2.569726 2
+#> 3 1 -14.20 -5.80 1.7974787 0.9849808 -12.402521 -4.815019 2
+#> 4 1 -2.10 -13.20 -1.6154727 1.1655980 -3.715473 -12.034402 1
+#> 5 1 -1.70 -4.30 1.5427620 0.5009822 -0.157238 -3.799018 1
+#> 6 1 -6.90 -1.55 -0.2435272 -0.9651862 -7.143527 -2.515186 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4580 -35750 7600
+#> initial value 998.131940
+#> iter 2 value 861.323766
+#> iter 3 value 848.752306
+#> iter 4 value 847.665556
+#> iter 5 value 803.990012
+#> iter 6 value 796.185463
+#> iter 7 value 794.725810
+#> iter 8 value 794.678772
+#> iter 9 value 794.678081
+#> iter 10 value 794.677910
+#> iter 11 value 794.677696
+#> iter 12 value 794.677571
+#> iter 12 value 794.677571
+#> iter 12 value 794.677571
+#> final value 794.677571
+#> converged
+#> This is Run number 369
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.1087193 -0.8489135 -2.2412807 -13.0489135 1
+#> 2 1 -6.20 -3.90 -0.4060392 -0.5196784 -6.6060392 -4.4196784 2
+#> 3 1 -14.20 -5.80 0.1924797 1.7171083 -14.0075203 -4.0828917 2
+#> 4 1 -2.10 -13.20 1.1559293 -0.1117271 -0.9440707 -13.3117271 1
+#> 5 1 -1.70 -4.30 0.9393868 -1.6484525 -0.7606132 -5.9484525 1
+#> 6 1 -6.90 -1.55 -0.5963037 2.3394375 -7.4963037 0.7894375 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -39425 8650
+#> initial value 998.131940
+#> iter 2 value 804.098937
+#> iter 3 value 799.223940
+#> iter 4 value 795.230262
+#> iter 5 value 749.486085
+#> iter 6 value 739.781742
+#> iter 7 value 738.285736
+#> iter 8 value 738.261470
+#> iter 9 value 738.261279
+#> iter 10 value 738.261095
+#> iter 11 value 738.261065
+#> iter 12 value 738.261001
+#> iter 12 value 738.261001
+#> iter 12 value 738.261001
+#> final value 738.261001
+#> converged
+#> This is Run number 370
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.0383507 -1.4976387 -2.3883507 -13.697639 1
+#> 2 1 -6.20 -3.90 1.2589814 1.0972449 -4.9410186 -2.802755 2
+#> 3 1 -14.20 -5.80 1.8608068 0.0618252 -12.3391932 -5.738175 2
+#> 4 1 -2.10 -13.20 2.5282412 2.8785026 0.4282412 -10.321497 1
+#> 5 1 -1.70 -4.30 0.4304900 1.3051306 -1.2695100 -2.994869 1
+#> 6 1 -6.90 -1.55 0.3967506 0.2209532 -6.5032494 -1.329047 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4740 -37725 7425
+#> initial value 998.131940
+#> iter 2 value 836.497521
+#> iter 3 value 834.586024
+#> iter 4 value 831.344444
+#> iter 5 value 781.781882
+#> iter 6 value 772.034232
+#> iter 7 value 770.535598
+#> iter 8 value 770.507857
+#> iter 9 value 770.507656
+#> iter 10 value 770.507490
+#> iter 10 value 770.507490
+#> iter 11 value 770.507441
+#> iter 12 value 770.507410
+#> iter 12 value 770.507410
+#> iter 12 value 770.507401
+#> final value 770.507401
+#> converged
+#> This is Run number 371
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.15715989 0.1404241 -2.192840 -12.0595759 1
+#> 2 1 -6.20 -3.90 0.43102490 -1.4566955 -5.768975 -5.3566955 2
+#> 3 1 -14.20 -5.80 2.84253510 1.3263784 -11.357465 -4.4736216 2
+#> 4 1 -2.10 -13.20 -0.09311038 0.5107775 -2.193110 -12.6892225 1
+#> 5 1 -1.70 -4.30 -1.34759194 -0.3666849 -3.047592 -4.6666849 1
+#> 6 1 -6.90 -1.55 1.05536911 2.2733148 -5.844631 0.7233148 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -37800 7775
+#> initial value 998.131940
+#> iter 2 value 833.464447
+#> iter 3 value 832.420401
+#> iter 4 value 829.957372
+#> iter 5 value 779.836661
+#> iter 6 value 770.110450
+#> iter 7 value 768.621442
+#> iter 8 value 768.594392
+#> iter 9 value 768.594005
+#> iter 10 value 768.593833
+#> iter 11 value 768.593818
+#> iter 12 value 768.593734
+#> iter 12 value 768.593734
+#> iter 12 value 768.593734
+#> final value 768.593734
+#> converged
+#> This is Run number 372
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.7738066 -1.0689014 -3.123807 -13.268901 1
+#> 2 1 -6.20 -3.90 0.8018479 2.3106060 -5.398152 -1.589394 2
+#> 3 1 -14.20 -5.80 2.6053475 -1.0013615 -11.594653 -6.801362 2
+#> 4 1 -2.10 -13.20 0.1501226 1.4641017 -1.949877 -11.735898 1
+#> 5 1 -1.70 -4.30 -1.0008023 -0.5840676 -2.700802 -4.884068 1
+#> 6 1 -6.90 -1.55 0.2258377 -0.4666577 -6.674162 -2.016658 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4500 -36100 7625
+#> initial value 998.131940
+#> iter 2 value 856.770061
+#> iter 3 value 843.823416
+#> iter 4 value 842.358218
+#> iter 5 value 799.011442
+#> iter 6 value 791.063319
+#> iter 7 value 789.558782
+#> iter 8 value 789.505895
+#> iter 9 value 789.505085
+#> iter 10 value 789.504932
+#> iter 11 value 789.504758
+#> iter 12 value 789.504641
+#> iter 12 value 789.504641
+#> iter 12 value 789.504641
+#> final value 789.504641
+#> converged
+#> This is Run number 373
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.2795170 -1.2102909 -2.0704830 -13.4102909 1
+#> 2 1 -6.20 -3.90 0.5119078 -0.5124592 -5.6880922 -4.4124592 2
+#> 3 1 -14.20 -5.80 0.3909908 -1.8717791 -13.8090092 -7.6717791 2
+#> 4 1 -2.10 -13.20 1.7430471 5.9984772 -0.3569529 -7.2015228 1
+#> 5 1 -1.70 -4.30 1.1478513 0.4984250 -0.5521487 -3.8015750 1
+#> 6 1 -6.90 -1.55 1.6004749 1.8942859 -5.2995251 0.3442859 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5380 -37700 7300
+#> initial value 998.131940
+#> iter 2 value 837.638211
+#> iter 3 value 826.469149
+#> iter 4 value 825.689619
+#> iter 5 value 786.253051
+#> iter 6 value 777.657011
+#> iter 7 value 776.000204
+#> iter 8 value 775.933840
+#> iter 9 value 775.932702
+#> iter 10 value 775.932478
+#> iter 11 value 775.932201
+#> iter 12 value 775.932001
+#> iter 12 value 775.932001
+#> iter 12 value 775.932001
+#> final value 775.932001
+#> converged
+#> This is Run number 374
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 2.7997693 -0.6087297 0.4497693 -12.8087297 1
+#> 2 1 -6.20 -3.90 1.1691240 0.2891552 -5.0308760 -3.6108448 2
+#> 3 1 -14.20 -5.80 0.3740109 -0.4132555 -13.8259891 -6.2132555 2
+#> 4 1 -2.10 -13.20 4.4897640 1.0074934 2.3897640 -12.1925066 1
+#> 5 1 -1.70 -4.30 -0.3140891 0.2805144 -2.0140891 -4.0194856 1
+#> 6 1 -6.90 -1.55 1.5529358 0.8682154 -5.3470642 -0.6817846 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -38000 7525
+#> initial value 998.131940
+#> iter 2 value 832.163255
+#> iter 3 value 830.941600
+#> iter 4 value 828.537437
+#> iter 5 value 779.649730
+#> iter 6 value 769.808306
+#> iter 7 value 768.324911
+#> iter 8 value 768.296080
+#> iter 9 value 768.295797
+#> iter 10 value 768.295749
+#> iter 10 value 768.295742
+#> iter 11 value 768.295613
+#> iter 12 value 768.295470
+#> iter 12 value 768.295461
+#> iter 12 value 768.295461
+#> final value 768.295461
+#> converged
+#> This is Run number 375
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.10825421 2.6102605 -2.4582542 -9.5897395 1
+#> 2 1 -6.20 -3.90 4.07953664 1.9653566 -2.1204634 -1.9346434 2
+#> 3 1 -14.20 -5.80 -0.59442822 -0.6164941 -14.7944282 -6.4164941 2
+#> 4 1 -2.10 -13.20 -0.19225758 -0.8159667 -2.2922576 -14.0159667 1
+#> 5 1 -1.70 -4.30 1.29118556 2.2682028 -0.4088144 -2.0317972 1
+#> 6 1 -6.90 -1.55 -0.04740679 1.6902346 -6.9474068 0.1402346 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -37400 7800
+#> initial value 998.131940
+#> iter 2 value 838.760847
+#> iter 3 value 837.929299
+#> iter 4 value 835.232297
+#> iter 5 value 783.663892
+#> iter 6 value 774.083661
+#> iter 7 value 772.583535
+#> iter 8 value 772.557161
+#> iter 9 value 772.556821
+#> iter 10 value 772.556645
+#> iter 10 value 772.556634
+#> iter 11 value 772.556612
+#> iter 12 value 772.556582
+#> iter 12 value 772.556575
+#> iter 12 value 772.556574
+#> final value 772.556574
+#> converged
+#> This is Run number 376
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 4.3835045 0.5551160 2.0335045 -11.644884 1
+#> 2 1 -6.20 -3.90 0.6310401 1.2078091 -5.5689599 -2.692191 2
+#> 3 1 -14.20 -5.80 -1.2714413 -1.7292705 -15.4714413 -7.529270 2
+#> 4 1 -2.10 -13.20 -0.2045139 0.4067189 -2.3045139 -12.793281 1
+#> 5 1 -1.70 -4.30 1.2313419 0.8381974 -0.4686581 -3.461803 1
+#> 6 1 -6.90 -1.55 1.2515222 -0.3125951 -5.6484778 -1.862595 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5460 -37600 6300
+#> initial value 998.131940
+#> iter 2 value 844.167762
+#> iter 3 value 843.492770
+#> iter 4 value 841.476704
+#> iter 5 value 793.783305
+#> iter 6 value 783.979258
+#> iter 7 value 782.294534
+#> iter 8 value 782.252893
+#> iter 9 value 782.252753
+#> iter 10 value 782.252579
+#> iter 10 value 782.252579
+#> iter 11 value 782.252544
+#> iter 12 value 782.252528
+#> iter 12 value 782.252528
+#> iter 12 value 782.252527
+#> final value 782.252527
+#> converged
+#> This is Run number 377
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.5988669 -0.62283788 -2.948867 -12.8228379 1
+#> 2 1 -6.20 -3.90 0.4624482 -0.60613924 -5.737552 -4.5061392 2
+#> 3 1 -14.20 -5.80 1.6198048 1.03484604 -12.580195 -4.7651540 2
+#> 4 1 -2.10 -13.20 0.6132407 0.09141809 -1.486759 -13.1085819 1
+#> 5 1 -1.70 -4.30 -0.6956512 4.16384021 -2.395651 -0.1361598 2
+#> 6 1 -6.90 -1.55 -0.6658098 0.51918544 -7.565810 -1.0308146 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4460 -37025 8675
+#> initial value 998.131940
+#> iter 2 value 838.191981
+#> iter 3 value 821.890197
+#> iter 4 value 820.814533
+#> iter 5 value 780.256532
+#> iter 6 value 772.234957
+#> iter 7 value 771.200961
+#> iter 8 value 771.158424
+#> iter 9 value 771.157646
+#> iter 10 value 771.157630
+#> iter 11 value 771.157420
+#> iter 12 value 771.157113
+#> iter 12 value 771.157113
+#> iter 12 value 771.157113
+#> final value 771.157113
+#> converged
+#> This is Run number 378
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.6167933 -0.1271693 -1.733207 -12.327169 1
+#> 2 1 -6.20 -3.90 2.5101533 2.5940287 -3.689847 -1.305971 2
+#> 3 1 -14.20 -5.80 0.1456338 2.2243211 -14.054366 -3.575679 2
+#> 4 1 -2.10 -13.20 -0.3324381 0.9052657 -2.432438 -12.294734 1
+#> 5 1 -1.70 -4.30 0.4737975 0.8830924 -1.226202 -3.416908 1
+#> 6 1 -6.90 -1.55 1.0070042 0.3681268 -5.892996 -1.181873 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4720 -39425 7525
+#> initial value 998.131940
+#> iter 2 value 811.128071
+#> iter 3 value 805.143850
+#> iter 4 value 799.684060
+#> iter 5 value 756.387318
+#> iter 6 value 746.309999
+#> iter 7 value 744.869023
+#> iter 8 value 744.843318
+#> iter 9 value 744.843259
+#> iter 10 value 744.843163
+#> iter 10 value 744.843159
+#> iter 10 value 744.843159
+#> final value 744.843159
+#> converged
+#> This is Run number 379
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.5740542 0.52490289 -0.7759458 -11.6750971 1
+#> 2 1 -6.20 -3.90 0.5202579 3.44441487 -5.6797421 -0.4555851 2
+#> 3 1 -14.20 -5.80 -0.3321624 0.73308919 -14.5321624 -5.0669108 2
+#> 4 1 -2.10 -13.20 0.1123449 0.99708774 -1.9876551 -12.2029123 1
+#> 5 1 -1.70 -4.30 1.9437587 0.01391648 0.2437587 -4.2860835 1
+#> 6 1 -6.90 -1.55 1.0834542 0.04657514 -5.8165458 -1.5034249 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5400 -38500 8250
+#> initial value 998.131940
+#> iter 2 value 820.621147
+#> iter 3 value 820.394709
+#> iter 4 value 819.628810
+#> iter 5 value 771.130760
+#> iter 6 value 761.212425
+#> iter 7 value 759.721700
+#> iter 8 value 759.696137
+#> iter 9 value 759.695940
+#> iter 10 value 759.695791
+#> iter 11 value 759.695715
+#> iter 12 value 759.695370
+#> iter 12 value 759.695370
+#> iter 12 value 759.695370
+#> final value 759.695370
+#> converged
+#> This is Run number 380
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.08957112 0.28596373 -3.43957112 -11.91403627 1
+#> 2 1 -6.20 -3.90 -1.43793546 0.04154968 -7.63793546 -3.85845032 2
+#> 3 1 -14.20 -5.80 1.64409680 1.87728319 -12.55590320 -3.92271681 2
+#> 4 1 -2.10 -13.20 -0.09666726 -0.72005535 -2.19666726 -13.92005535 1
+#> 5 1 -1.70 -4.30 1.67472182 -0.71078901 -0.02527818 -5.01078901 1
+#> 6 1 -6.90 -1.55 0.33081861 1.51620162 -6.56918139 -0.03379838 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5640 -40725 8025
+#> initial value 998.131940
+#> iter 2 value 787.726254
+#> iter 3 value 783.819884
+#> iter 4 value 781.844212
+#> iter 5 value 741.781627
+#> iter 6 value 731.764236
+#> iter 7 value 730.418412
+#> iter 8 value 730.394397
+#> iter 9 value 730.394130
+#> iter 10 value 730.393551
+#> iter 10 value 730.393542
+#> iter 10 value 730.393540
+#> final value 730.393540
+#> converged
+#> This is Run number 381
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.2078319 -0.1296165 -2.142168 -12.3296165 1
+#> 2 1 -6.20 -3.90 0.3659737 -0.8664973 -5.834026 -4.7664973 2
+#> 3 1 -14.20 -5.80 4.0268485 0.3728212 -10.173151 -5.4271788 2
+#> 4 1 -2.10 -13.20 -0.2954929 2.3993759 -2.395493 -10.8006241 1
+#> 5 1 -1.70 -4.30 -0.7734906 -1.2627542 -2.473491 -5.5627542 1
+#> 6 1 -6.90 -1.55 -0.9068679 0.5947578 -7.806868 -0.9552422 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4340 -36250 8025
+#> initial value 998.131940
+#> iter 2 value 852.385663
+#> iter 3 value 838.008026
+#> iter 4 value 836.462161
+#> iter 5 value 793.569503
+#> iter 6 value 785.635008
+#> iter 7 value 784.308708
+#> iter 8 value 784.260255
+#> iter 9 value 784.259466
+#> iter 10 value 784.259318
+#> iter 11 value 784.259166
+#> iter 12 value 784.259053
+#> iter 12 value 784.259053
+#> iter 12 value 784.259053
+#> final value 784.259053
+#> converged
+#> This is Run number 382
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.1497147 -1.1230205 -1.200285 -13.32302051 1
+#> 2 1 -6.20 -3.90 0.4819791 3.9758295 -5.718021 0.07582949 2
+#> 3 1 -14.20 -5.80 -0.4438387 -0.3673674 -14.643839 -6.16736738 2
+#> 4 1 -2.10 -13.20 -0.1286389 0.2109087 -2.228639 -12.98909131 1
+#> 5 1 -1.70 -4.30 -0.3027404 -1.1136509 -2.002740 -5.41365085 1
+#> 6 1 -6.90 -1.55 -0.5286406 -0.6931785 -7.428641 -2.24317847 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3860 -36950 8625
+#> initial value 998.131940
+#> iter 2 value 839.007093
+#> iter 3 value 837.244536
+#> iter 4 value 832.807372
+#> iter 5 value 777.863995
+#> iter 6 value 768.648239
+#> iter 7 value 767.040295
+#> iter 8 value 767.018192
+#> iter 9 value 767.018142
+#> iter 10 value 767.017996
+#> iter 10 value 767.017990
+#> iter 10 value 767.017983
+#> final value 767.017983
+#> converged
+#> This is Run number 383
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.9506147 -1.0987883 -1.3993853 -13.2987883 1
+#> 2 1 -6.20 -3.90 1.2823716 1.5328989 -4.9176284 -2.3671011 2
+#> 3 1 -14.20 -5.80 -0.9801270 -0.4991820 -15.1801270 -6.2991820 2
+#> 4 1 -2.10 -13.20 -0.7064763 0.4224302 -2.8064763 -12.7775698 1
+#> 5 1 -1.70 -4.30 0.7910758 -0.4370879 -0.9089242 -4.7370879 1
+#> 6 1 -6.90 -1.55 1.5015844 2.2532828 -5.3984156 0.7032828 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4360 -38325 8550
+#> initial value 998.131940
+#> iter 2 value 820.915182
+#> iter 3 value 817.606581
+#> iter 4 value 813.621117
+#> iter 5 value 763.926516
+#> iter 6 value 754.320297
+#> iter 7 value 752.779973
+#> iter 8 value 752.756925
+#> iter 9 value 752.756829
+#> iter 10 value 752.756611
+#> iter 10 value 752.756610
+#> iter 10 value 752.756599
+#> final value 752.756599
+#> converged
+#> This is Run number 384
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.26480922 0.72066593 -2.614809 -11.479334 1
+#> 2 1 -6.20 -3.90 0.11713983 1.24473574 -6.082860 -2.655264 2
+#> 3 1 -14.20 -5.80 0.09608222 -0.02680112 -14.103918 -5.826801 2
+#> 4 1 -2.10 -13.20 -0.46361642 2.13745838 -2.563616 -11.062542 1
+#> 5 1 -1.70 -4.30 2.81026054 1.74416685 1.110261 -2.555833 1
+#> 6 1 -6.90 -1.55 1.72614492 0.05871183 -5.173855 -1.491288 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -37175 6900
+#> initial value 998.131940
+#> iter 2 value 846.741983
+#> iter 3 value 843.847588
+#> iter 4 value 839.782813
+#> iter 5 value 789.484992
+#> iter 6 value 779.858840
+#> iter 7 value 778.290257
+#> iter 8 value 778.260545
+#> iter 9 value 778.260516
+#> iter 10 value 778.260437
+#> iter 10 value 778.260433
+#> iter 10 value 778.260429
+#> final value 778.260429
+#> converged
+#> This is Run number 385
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.7190516 0.2300190 -3.0690516 -11.969981 1
+#> 2 1 -6.20 -3.90 -1.1038844 -0.6520466 -7.3038844 -4.552047 2
+#> 3 1 -14.20 -5.80 0.7812419 -0.5999802 -13.4187581 -6.399980 2
+#> 4 1 -2.10 -13.20 -0.9093837 1.0772270 -3.0093837 -12.122773 1
+#> 5 1 -1.70 -4.30 1.0285688 0.9369974 -0.6714312 -3.363003 1
+#> 6 1 -6.90 -1.55 1.8367627 0.3374118 -5.0632373 -1.212588 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -35825 7600
+#> initial value 998.131940
+#> iter 2 value 860.465605
+#> iter 3 value 848.196132
+#> iter 4 value 847.428715
+#> iter 5 value 804.207756
+#> iter 6 value 796.366687
+#> iter 7 value 794.934012
+#> iter 8 value 794.889590
+#> iter 9 value 794.888951
+#> iter 10 value 794.888766
+#> iter 11 value 794.888525
+#> iter 12 value 794.888390
+#> iter 12 value 794.888390
+#> iter 12 value 794.888390
+#> final value 794.888390
+#> converged
+#> This is Run number 386
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 4.12142246 -0.14167331 1.7714225 -12.3416733 1
+#> 2 1 -6.20 -3.90 -0.65678170 0.17529614 -6.8567817 -3.7247039 2
+#> 3 1 -14.20 -5.80 0.59916706 6.12200984 -13.6008329 0.3220098 2
+#> 4 1 -2.10 -13.20 1.17549919 2.78021853 -0.9245008 -10.4197815 1
+#> 5 1 -1.70 -4.30 1.19929007 0.02830958 -0.5007099 -4.2716904 1
+#> 6 1 -6.90 -1.55 -0.05661805 0.73914649 -6.9566181 -0.8108535 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5080 -37725 8025
+#> initial value 998.131940
+#> iter 2 value 833.042227
+#> iter 3 value 819.484162
+#> iter 4 value 818.747363
+#> iter 5 value 779.659880
+#> iter 6 value 771.173961
+#> iter 7 value 769.912836
+#> iter 8 value 769.860754
+#> iter 9 value 769.859773
+#> iter 10 value 769.859558
+#> iter 11 value 769.859295
+#> iter 12 value 769.859095
+#> iter 12 value 769.859095
+#> iter 12 value 769.859095
+#> final value 769.859095
+#> converged
+#> This is Run number 387
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.6541701 3.4091118 -3.0041701 -8.790888 1
+#> 2 1 -6.20 -3.90 -1.3954942 -0.5978117 -7.5954942 -4.497812 2
+#> 3 1 -14.20 -5.80 0.6364991 -0.8695243 -13.5635009 -6.669524 2
+#> 4 1 -2.10 -13.20 1.1514899 2.7936829 -0.9485101 -10.406317 1
+#> 5 1 -1.70 -4.30 0.9025736 -0.8443995 -0.7974264 -5.144400 1
+#> 6 1 -6.90 -1.55 -1.7368481 -0.6793527 -8.6368481 -2.229353 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -37175 7500
+#> initial value 998.131940
+#> iter 2 value 843.600337
+#> iter 3 value 843.145762
+#> iter 4 value 840.661855
+#> iter 5 value 788.976070
+#> iter 6 value 779.420732
+#> iter 7 value 777.917382
+#> iter 8 value 777.888857
+#> iter 9 value 777.888764
+#> iter 10 value 777.888395
+#> iter 10 value 777.888388
+#> iter 11 value 777.888319
+#> iter 12 value 777.888267
+#> iter 13 value 777.888244
+#> iter 13 value 777.888234
+#> iter 13 value 777.888234
+#> final value 777.888234
+#> converged
+#> This is Run number 388
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.5703117 0.6647250 -2.9203117 -11.5352750 1
+#> 2 1 -6.20 -3.90 2.5472377 -0.9256033 -3.6527623 -4.8256033 1
+#> 3 1 -14.20 -5.80 0.5465586 1.0350317 -13.6534414 -4.7649683 2
+#> 4 1 -2.10 -13.20 0.5439516 -0.1382368 -1.5560484 -13.3382368 1
+#> 5 1 -1.70 -4.30 1.5680589 0.3419098 -0.1319411 -3.9580902 1
+#> 6 1 -6.90 -1.55 -0.7941112 2.5146662 -7.6941112 0.9646662 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5260 -38575 7925
+#> initial value 998.131940
+#> iter 2 value 821.577857
+#> iter 3 value 820.587459
+#> iter 4 value 819.064058
+#> iter 5 value 771.366148
+#> iter 6 value 761.414891
+#> iter 7 value 759.949591
+#> iter 8 value 759.922384
+#> iter 9 value 759.921881
+#> iter 10 value 759.921756
+#> iter 11 value 759.921718
+#> iter 12 value 759.921564
+#> iter 12 value 759.921564
+#> iter 12 value 759.921564
+#> final value 759.921564
+#> converged
+#> This is Run number 389
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.23223113 0.4517157 -1.1177689 -11.748284 1
+#> 2 1 -6.20 -3.90 -1.10383143 0.2912761 -7.3038314 -3.608724 2
+#> 3 1 -14.20 -5.80 -0.31425122 -0.8174202 -14.5142512 -6.617420 2
+#> 4 1 -2.10 -13.20 0.07986887 1.1652809 -2.0201311 -12.034719 1
+#> 5 1 -1.70 -4.30 1.97517649 1.5060980 0.2751765 -2.793902 1
+#> 6 1 -6.90 -1.55 -0.42206344 -0.5916667 -7.3220634 -2.141667 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -37100 6275
+#> initial value 998.131940
+#> iter 2 value 851.034848
+#> iter 3 value 849.013981
+#> iter 4 value 845.829782
+#> iter 5 value 796.572666
+#> iter 6 value 786.957421
+#> iter 7 value 785.275124
+#> iter 8 value 785.237498
+#> iter 9 value 785.237438
+#> iter 10 value 785.237412
+#> iter 11 value 785.237398
+#> iter 11 value 785.237396
+#> iter 11 value 785.237396
+#> final value 785.237396
+#> converged
+#> This is Run number 390
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.82367162 0.93435456 -0.5263284 -11.2656454 1
+#> 2 1 -6.20 -3.90 -0.36632330 0.78592504 -6.5663233 -3.1140750 2
+#> 3 1 -14.20 -5.80 -0.03008677 -0.03219793 -14.2300868 -5.8321979 2
+#> 4 1 -2.10 -13.20 0.25996045 1.78262219 -1.8400395 -11.4173778 1
+#> 5 1 -1.70 -4.30 -1.16930031 -0.16047565 -2.8693003 -4.4604757 1
+#> 6 1 -6.90 -1.55 3.60148084 1.23276762 -3.2985192 -0.3172324 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -39175 8725
+#> initial value 998.131940
+#> iter 2 value 807.422432
+#> iter 3 value 803.604223
+#> iter 4 value 800.345121
+#> iter 5 value 753.371351
+#> iter 6 value 743.681296
+#> iter 7 value 742.174344
+#> iter 8 value 742.150787
+#> iter 9 value 742.150601
+#> iter 10 value 742.150378
+#> iter 10 value 742.150374
+#> iter 10 value 742.150373
+#> final value 742.150373
+#> converged
+#> This is Run number 391
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.8459655 0.4993639 -3.1959655 -11.700636 1
+#> 2 1 -6.20 -3.90 1.9125264 0.9995615 -4.2874736 -2.900439 2
+#> 3 1 -14.20 -5.80 -0.8175543 0.1450347 -15.0175543 -5.654965 2
+#> 4 1 -2.10 -13.20 -0.5522547 0.7049207 -2.6522547 -12.495079 1
+#> 5 1 -1.70 -4.30 2.0634114 -1.0929580 0.3634114 -5.392958 1
+#> 6 1 -6.90 -1.55 1.1134110 0.1437664 -5.7865890 -1.406234 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4580 -38975 7375
+#> initial value 998.131940
+#> iter 2 value 818.685380
+#> iter 3 value 812.707278
+#> iter 4 value 807.017076
+#> iter 5 value 762.377174
+#> iter 6 value 752.320278
+#> iter 7 value 750.837217
+#> iter 8 value 750.810536
+#> iter 9 value 750.810508
+#> iter 10 value 750.810451
+#> iter 10 value 750.810451
+#> iter 10 value 750.810448
+#> final value 750.810448
+#> converged
+#> This is Run number 392
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.7219584 1.1525429 -3.071958 -11.0474571 1
+#> 2 1 -6.20 -3.90 -1.0264287 -0.8383654 -7.226429 -4.7383654 2
+#> 3 1 -14.20 -5.80 -0.8196906 0.8769029 -15.019691 -4.9230971 2
+#> 4 1 -2.10 -13.20 1.0407520 1.2675953 -1.059248 -11.9324047 1
+#> 5 1 -1.70 -4.30 2.7724944 0.4346216 1.072494 -3.8653784 1
+#> 6 1 -6.90 -1.55 4.7069648 2.0616965 -2.193035 0.5116965 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -38350 8750
+#> initial value 998.131940
+#> iter 2 value 819.331327
+#> iter 3 value 817.030177
+#> iter 4 value 814.047611
+#> iter 5 value 763.865603
+#> iter 6 value 754.277764
+#> iter 7 value 752.734175
+#> iter 8 value 752.711408
+#> iter 9 value 752.711280
+#> iter 10 value 752.711038
+#> iter 10 value 752.711038
+#> iter 10 value 752.711027
+#> final value 752.711027
+#> converged
+#> This is Run number 393
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.8468311 2.7825943 -1.503169 -9.417406 1
+#> 2 1 -6.20 -3.90 -0.5020686 0.3033119 -6.702069 -3.596688 2
+#> 3 1 -14.20 -5.80 0.8529034 0.8596187 -13.347097 -4.940381 2
+#> 4 1 -2.10 -13.20 0.6413661 0.4556450 -1.458634 -12.744355 1
+#> 5 1 -1.70 -4.30 -0.2418135 1.0630302 -1.941814 -3.236970 1
+#> 6 1 -6.90 -1.55 4.4775389 -0.7780850 -2.422461 -2.328085 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3400 -36575 8400
+#> initial value 998.131940
+#> iter 2 value 844.787450
+#> iter 3 value 840.738278
+#> iter 4 value 834.450526
+#> iter 5 value 778.847302
+#> iter 6 value 769.690712
+#> iter 7 value 768.022398
+#> iter 8 value 767.999817
+#> iter 9 value 767.999796
+#> iter 10 value 767.999767
+#> iter 11 value 767.999755
+#> iter 11 value 767.999752
+#> iter 11 value 767.999752
+#> final value 767.999752
+#> converged
+#> This is Run number 394
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 0.5740885 -1.01289205 -1.775911 -13.2128921 1
+#> 2 1 -6.20 -3.90 3.3634263 0.54912452 -2.836574 -3.3508755 1
+#> 3 1 -14.20 -5.80 -0.6710949 -0.01873935 -14.871095 -5.8187393 2
+#> 4 1 -2.10 -13.20 0.2721623 0.26094431 -1.827838 -12.9390557 1
+#> 5 1 -1.70 -4.30 -0.9094226 2.86411616 -2.609423 -1.4358838 2
+#> 6 1 -6.90 -1.55 1.9269930 1.27023020 -4.973007 -0.2797698 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5640 -39525 7050
+#> initial value 998.131940
+#> iter 2 value 812.356210
+#> iter 3 value 810.037455
+#> iter 4 value 807.799660
+#> iter 5 value 765.223948
+#> iter 6 value 754.903046
+#> iter 7 value 753.485551
+#> iter 8 value 753.454456
+#> iter 9 value 753.454134
+#> iter 10 value 753.453914
+#> iter 10 value 753.453914
+#> iter 11 value 753.453879
+#> iter 12 value 753.453826
+#> iter 12 value 753.453826
+#> iter 12 value 753.453824
+#> final value 753.453824
+#> converged
+#> This is Run number 395
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.33920371 8.0540122 -2.6892037 -4.145988 1
+#> 2 1 -6.20 -3.90 -0.10092657 -0.1459024 -6.3009266 -4.045902 2
+#> 3 1 -14.20 -5.80 0.60128564 -0.3050105 -13.5987144 -6.105011 2
+#> 4 1 -2.10 -13.20 -0.09838651 2.0532490 -2.1983865 -11.146751 1
+#> 5 1 -1.70 -4.30 1.98073719 0.8760067 0.2807372 -3.423993 1
+#> 6 1 -6.90 -1.55 2.36280382 0.5466067 -4.5371962 -1.003393 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4460 -36950 8275
+#> initial value 998.131940
+#> iter 2 value 841.793511
+#> iter 3 value 826.666629
+#> iter 4 value 825.207725
+#> iter 5 value 783.942900
+#> iter 6 value 775.817520
+#> iter 7 value 774.589436
+#> iter 8 value 774.539850
+#> iter 9 value 774.538962
+#> iter 10 value 774.538805
+#> iter 11 value 774.538646
+#> iter 12 value 774.538517
+#> iter 12 value 774.538517
+#> iter 12 value 774.538517
+#> final value 774.538517
+#> converged
+#> This is Run number 396
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -0.2792462 1.44365076 -2.6292462 -10.7563492 1
+#> 2 1 -6.20 -3.90 2.3920830 0.47338210 -3.8079170 -3.4266179 2
+#> 3 1 -14.20 -5.80 0.4421800 -1.43053370 -13.7578200 -7.2305337 2
+#> 4 1 -2.10 -13.20 0.2942482 -0.03396997 -1.8057518 -13.2339700 1
+#> 5 1 -1.70 -4.30 1.9065882 0.18394331 0.2065882 -4.1160567 1
+#> 6 1 -6.90 -1.55 0.5166763 0.91151409 -6.3833237 -0.6384859 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4340 -36450 7875
+#> initial value 998.131940
+#> iter 2 value 850.728706
+#> iter 3 value 836.645801
+#> iter 4 value 834.787304
+#> iter 5 value 791.906899
+#> iter 6 value 783.861315
+#> iter 7 value 782.429809
+#> iter 8 value 782.375528
+#> iter 9 value 782.374662
+#> iter 10 value 782.374533
+#> iter 11 value 782.374415
+#> iter 12 value 782.374317
+#> iter 12 value 782.374317
+#> iter 12 value 782.374317
+#> final value 782.374317
+#> converged
+#> This is Run number 397
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 1.24679274 -0.94695837 -1.103207 -13.146958 1
+#> 2 1 -6.20 -3.90 -1.53843329 -0.91023924 -7.738433 -4.810239 2
+#> 3 1 -14.20 -5.80 -0.60267665 1.88883708 -14.802677 -3.911163 2
+#> 4 1 -2.10 -13.20 -0.74050486 -0.05015285 -2.840505 -13.250153 1
+#> 5 1 -1.70 -4.30 -0.06687904 3.18949453 -1.766879 -1.110505 2
+#> 6 1 -6.90 -1.55 -1.03717391 -0.49589979 -7.937174 -2.045900 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -37800 7950
+#> initial value 998.131940
+#> iter 2 value 832.438119
+#> iter 3 value 832.023035
+#> iter 4 value 830.135806
+#> iter 5 value 779.620434
+#> iter 6 value 769.903510
+#> iter 7 value 768.408998
+#> iter 8 value 768.381973
+#> iter 9 value 768.381526
+#> iter 10 value 768.381403
+#> iter 11 value 768.381362
+#> iter 12 value 768.381244
+#> iter 12 value 768.381244
+#> iter 12 value 768.381244
+#> final value 768.381244
+#> converged
+#> This is Run number 398
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 -1.4116950 2.44868539 -3.761695 -9.7513146 1
+#> 2 1 -6.20 -3.90 1.2726209 0.01469254 -4.927379 -3.8853075 2
+#> 3 1 -14.20 -5.80 -0.4593436 2.39422218 -14.659344 -3.4057778 2
+#> 4 1 -2.10 -13.20 1.2404560 0.17449694 -0.859544 -13.0255031 1
+#> 5 1 -1.70 -4.30 3.3835869 2.06900874 1.683587 -2.2309913 1
+#> 6 1 -6.90 -1.55 -0.2572011 1.75339580 -7.157201 0.2033958 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -39550 8425
+#> initial value 998.131940
+#> iter 2 value 803.705574
+#> iter 3 value 798.639544
+#> iter 4 value 794.486155
+#> iter 5 value 749.681730
+#> iter 6 value 739.889408
+#> iter 7 value 738.424001
+#> iter 8 value 738.400011
+#> iter 9 value 738.399836
+#> iter 10 value 738.399621
+#> iter 11 value 738.399591
+#> iter 12 value 738.399519
+#> iter 12 value 738.399519
+#> iter 12 value 738.399519
+#> final value 738.399519
+#> converged
+#> This is Run number 399
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 5.1707790 1.06931489 2.8207790 -11.130685 1
+#> 2 1 -6.20 -3.90 -0.8109065 1.18764035 -7.0109065 -2.712360 2
+#> 3 1 -14.20 -5.80 -0.6439281 0.05275428 -14.8439281 -5.747246 2
+#> 4 1 -2.10 -13.20 -1.1308746 0.29903660 -3.2308746 -12.900963 1
+#> 5 1 -1.70 -4.30 1.9340263 0.87969791 0.2340263 -3.420302 1
+#> 6 1 -6.90 -1.55 2.0264300 3.65774324 -4.8735700 2.107743 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -39650 9050
+#> initial value 998.131940
+#> iter 2 value 797.991341
+#> iter 3 value 793.832846
+#> iter 4 value 791.165113
+#> iter 5 value 745.268243
+#> iter 6 value 735.667264
+#> iter 7 value 734.150649
+#> iter 8 value 734.125104
+#> iter 9 value 734.124790
+#> iter 10 value 734.124635
+#> iter 11 value 734.124569
+#> iter 12 value 734.124538
+#> iter 12 value 734.124538
+#> iter 12 value 734.124538
+#> final value 734.124538
+#> converged
+#> This is Run number 400
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 12 60 25 0 20 200 100 1
+#> 2 1 16 20 100 50 40 50 0 1
+#> 3 1 17 20 200 0 80 100 100 1
+#> 4 1 25 60 50 100 20 200 50 1
+#> 5 1 29 20 50 100 80 50 0 1
+#> 6 1 32 40 100 25 80 25 50 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -2.35 -12.20 3.5472686 -0.43690816 1.197269 -12.636908 1
+#> 2 1 -6.20 -3.90 1.6787391 -0.02663212 -4.521261 -3.926632 2
+#> 3 1 -14.20 -5.80 0.3494467 -0.63970916 -13.850553 -6.439709 2
+#> 4 1 -2.10 -13.20 -0.8775397 0.59397960 -2.977540 -12.606020 1
+#> 5 1 -1.70 -4.30 -1.2042629 0.47372007 -2.904263 -3.826280 1
+#> 6 1 -6.90 -1.55 1.4858822 -1.38827550 -5.414118 -2.938276 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5640 -38450 6950
+#> initial value 998.131940
+#> iter 2 value 828.878564
+#> iter 3 value 828.297326
+#> iter 4 value 826.887151
+#> iter 5 value 780.708037
+#> iter 6 value 770.599433
+#> iter 7 value 769.073964
+#> iter 8 value 769.036883
+#> iter 9 value 769.036691
+#> iter 10 value 769.036170
+#> iter 11 value 769.036150
+#> iter 12 value 769.036066
+#> iter 12 value 769.036066
+#> iter 12 value 769.036066
+#> final value 769.036066
+#> converged
+#>
+#>
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ===
+#> \ vars n mean sd median min max range skew kurtosis se
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ===
+#> est_bpreis 1 400 -0.01 0.00 -0.01 -0.01 0.00 0.01 -0.23 0.02 0
+#> est_blade 2 400 -0.01 0.00 -0.01 -0.02 -0.01 0.00 -0.07 -0.14 0
+#> est_bwarte 3 400 0.01 0.00 0.01 0.00 0.01 0.01 0.14 0.02 0
+#> rob_pval0_bpreis 4 400 0.00 0.01 0.00 0.00 0.10 0.10 6.48 50.41 0
+#> rob_pval0_blade 5 400 0.00 0.00 0.00 0.00 0.00 0.00 NaN NaN 0
+#> rob_pval0_bwarte 6 400 0.00 0.00 0.00 0.00 0.02 0.02 7.02 54.24 0
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ===
+#>
+#> FALSE TRUE
+#> 1.5 98.5
+#> 'simple' is deprecated and will be removed in the future. Use 'exact' instead.
+#> bcoeff_lookup already exists; skipping modification.
+#> Utility function used in simulation, ie the true utility:
+#>
+#> $u1
+#> $u1$v1
+#> V.1 ~ bpreis * alt1.x1 + blade * alt1.x2 + bwarte * alt1.x3
+#> <environment: 0x5cc5fe6cc2d8>
+#>
+#> $u1$v2
+#> V.2 ~ bpreis * alt2.x1 + blade * alt2.x2 + bwarte * alt2.x3
+#> <environment: 0x5cc5fd8b4648>
+#>
+#>
+#> $u2
+#> $u2$v1
+#> V.1 ~ bpreis * alt1.x1
+#> <environment: 0x5cc5fa36b508>
+#>
+#> $u2$v2
+#> V.2 ~ bpreis * alt2.x1
+#> <environment: 0x5cc5fac617c0>
+#> 'destype' is deprecated. Please use 'designtype' instead.
+#> New names:
+#>
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.5469877 0.2652209 -3.7530123 -1.434779 2
+#> 2 1 -1.35 -13.20 0.2921204 0.3512947 -1.0578796 -12.848705 1
+#> 3 1 -2.05 -14.20 -0.9242458 -0.4746341 -2.9742458 -14.674634 1
+#> 4 1 -1.55 -3.10 3.7040281 0.5012953 2.1540281 -2.598705 1
+#> 5 1 -1.90 -3.60 2.4394138 1.9346467 0.5394138 -1.665353 1
+#> 6 1 -13.70 -1.85 -0.3828294 0.1145080 -14.0828294 -1.735492 2
+#>
+#>
+#> Transformed utility function (type: simple ):
+#> [1] "U_1 = @bpreis * $alt1_x1 + @blade * $alt1_x2 + @bwarte * $alt1_x3 ;U_2 = @bpreis * $alt2_x1 + @blade * $alt2_x2 + @bwarte * $alt2_x3 ;"
+#> This is Run number 1
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.05382619 -1.1576939 -4.2461738 -2.8576939 2
+#> 2 1 -1.35 -13.20 0.76693153 1.5168406 -0.5830685 -11.6831594 1
+#> 3 1 -2.05 -14.20 2.59102744 -0.3493519 0.5410274 -14.5493519 1
+#> 4 1 -1.55 -3.10 0.03210815 -0.3090358 -1.5178918 -3.4090358 1
+#> 5 1 -1.90 -3.60 1.36618213 0.8593138 -0.5338179 -2.7406862 1
+#> 6 1 -13.70 -1.85 3.12215769 1.0586479 -10.5778423 -0.7913521 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4000 -39225 10100
+#> initial value 998.131940
+#> iter 2 value 781.559570
+#> iter 3 value 762.015998
+#> iter 4 value 759.985798
+#> iter 5 value 730.675751
+#> iter 6 value 724.225867
+#> iter 7 value 723.478520
+#> iter 8 value 723.439672
+#> iter 9 value 723.439589
+#> iter 10 value 723.439504
+#> iter 11 value 723.439432
+#> iter 12 value 723.439402
+#> iter 12 value 723.439402
+#> iter 12 value 723.439402
+#> final value 723.439402
+#> converged
+#> This is Run number 2
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.2006406 0.4494358 -3.099359 -1.2505642 2
+#> 2 1 -1.35 -13.20 -0.5747190 2.4358704 -1.924719 -10.7641296 1
+#> 3 1 -2.05 -14.20 -0.8671666 -0.3042701 -2.917167 -14.5042701 1
+#> 4 1 -1.55 -3.10 -0.5824677 1.4327064 -2.132468 -1.6672936 2
+#> 5 1 -1.90 -3.60 -0.4600896 1.6003239 -2.360090 -1.9996761 2
+#> 6 1 -13.70 -1.85 1.9933071 2.1605038 -11.706693 0.3105038 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4060 -39575 9450
+#> initial value 998.131940
+#> iter 2 value 780.858389
+#> iter 3 value 763.086061
+#> iter 4 value 759.951387
+#> iter 5 value 730.626253
+#> iter 6 value 723.805360
+#> iter 7 value 722.935724
+#> iter 8 value 722.892921
+#> iter 9 value 722.892877
+#> iter 9 value 722.892872
+#> iter 9 value 722.892872
+#> final value 722.892872
+#> converged
+#> This is Run number 3
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.1256750 -0.4726284 -4.425675e+00 -2.172628 2
+#> 2 1 -1.35 -13.20 -0.4661533 0.4526024 -1.816153e+00 -12.747398 1
+#> 3 1 -2.05 -14.20 0.6240372 0.5070144 -1.425963e+00 -13.692986 1
+#> 4 1 -1.55 -3.10 1.1065793 1.1722847 -4.434207e-01 -1.927715 1
+#> 5 1 -1.90 -3.60 1.9004657 -0.7194325 4.657214e-04 -4.319433 1
+#> 6 1 -13.70 -1.85 2.2125980 -0.2502288 -1.148740e+01 -2.100229 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4120 -37850 9425
+#> initial value 998.131940
+#> iter 2 value 807.473380
+#> iter 3 value 790.631616
+#> iter 4 value 789.210898
+#> iter 5 value 757.294623
+#> iter 6 value 750.456315
+#> iter 7 value 749.624246
+#> iter 8 value 749.595905
+#> iter 9 value 749.595724
+#> iter 10 value 749.595698
+#> iter 11 value 749.595667
+#> iter 12 value 749.595653
+#> iter 12 value 749.595653
+#> iter 12 value 749.595653
+#> final value 749.595653
+#> converged
+#> This is Run number 4
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 6.5375608 0.4506559 2.2375608 -1.2493441 1
+#> 2 1 -1.35 -13.20 0.5217834 0.8686365 -0.8282166 -12.3313635 1
+#> 3 1 -2.05 -14.20 1.7839714 1.8723842 -0.2660286 -12.3276158 1
+#> 4 1 -1.55 -3.10 -0.4118957 1.6275816 -1.9618957 -1.4724184 2
+#> 5 1 -1.90 -3.60 1.6989791 -0.7391706 -0.2010209 -4.3391706 1
+#> 6 1 -13.70 -1.85 0.8800060 1.1789354 -12.8199940 -0.6710646 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2800 -36525 10950
+#> initial value 998.131940
+#> iter 2 value 812.926616
+#> iter 3 value 788.996107
+#> iter 4 value 786.756647
+#> iter 5 value 752.039350
+#> iter 6 value 746.404596
+#> iter 7 value 745.792413
+#> iter 8 value 745.768708
+#> iter 9 value 745.768653
+#> iter 10 value 745.768609
+#> iter 10 value 745.768607
+#> iter 10 value 745.768598
+#> final value 745.768598
+#> converged
+#> This is Run number 5
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.3992615 2.8048256 -1.9007385 1.104826 2
+#> 2 1 -1.35 -13.20 1.1224635 1.1048061 -0.2275365 -12.095194 1
+#> 3 1 -2.05 -14.20 -0.2354874 0.6778520 -2.2854874 -13.522148 1
+#> 4 1 -1.55 -3.10 -0.1190669 1.4370336 -1.6690669 -1.662966 2
+#> 5 1 -1.90 -3.60 0.7799506 -0.5826479 -1.1200494 -4.182648 1
+#> 6 1 -13.70 -1.85 0.6110906 0.7376301 -13.0889094 -1.112370 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3500 -37175 9125
+#> initial value 998.131940
+#> iter 2 value 818.684405
+#> iter 3 value 801.486201
+#> iter 4 value 798.610658
+#> iter 5 value 763.522267
+#> iter 6 value 756.673851
+#> iter 7 value 755.721196
+#> iter 8 value 755.693419
+#> iter 9 value 755.693325
+#> iter 9 value 755.693322
+#> iter 9 value 755.693321
+#> final value 755.693321
+#> converged
+#> This is Run number 6
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.2449917 0.4252392 -3.0550083 -1.2747608 2
+#> 2 1 -1.35 -13.20 0.6133298 2.4682248 -0.7366702 -10.7317752 1
+#> 3 1 -2.05 -14.20 -0.1924058 0.5484934 -2.2424058 -13.6515066 1
+#> 4 1 -1.55 -3.10 0.9109317 0.3887122 -0.6390683 -2.7112878 1
+#> 5 1 -1.90 -3.60 -0.3777203 0.7758778 -2.2777203 -2.8241222 1
+#> 6 1 -13.70 -1.85 -0.2219318 0.8996832 -13.9219318 -0.9503168 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3360 -36825 11325
+#> initial value 998.131940
+#> iter 2 value 806.428137
+#> iter 3 value 782.456171
+#> iter 4 value 781.751279
+#> iter 5 value 749.443473
+#> iter 6 value 743.919927
+#> iter 7 value 743.404982
+#> iter 8 value 743.384148
+#> iter 9 value 743.384072
+#> iter 10 value 743.383854
+#> iter 11 value 743.383842
+#> iter 12 value 743.383773
+#> iter 12 value 743.383773
+#> iter 12 value 743.383773
+#> final value 743.383773
+#> converged
+#> This is Run number 7
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.2555138 0.48260313 -4.04448618 -1.217397 2
+#> 2 1 -1.35 -13.20 1.3104744 -0.05915726 -0.03952559 -13.259157 1
+#> 3 1 -2.05 -14.20 -0.3867722 -0.53916194 -2.43677224 -14.739162 1
+#> 4 1 -1.55 -3.10 0.7135984 0.29726860 -0.83640160 -2.802731 1
+#> 5 1 -1.90 -3.60 0.8023801 0.60891523 -1.09761988 -2.991085 1
+#> 6 1 -13.70 -1.85 3.7663395 0.62562153 -9.93366054 -1.224378 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2900 -36500 10300
+#> initial value 998.131940
+#> iter 2 value 818.632506
+#> iter 3 value 796.991928
+#> iter 4 value 794.338766
+#> iter 5 value 758.662900
+#> iter 6 value 752.627218
+#> iter 7 value 751.909770
+#> iter 8 value 751.886009
+#> iter 9 value 751.885946
+#> iter 9 value 751.885937
+#> iter 9 value 751.885937
+#> final value 751.885937
+#> converged
+#> This is Run number 8
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.0726274 0.1560654 -5.3726274 -1.5439346 2
+#> 2 1 -1.35 -13.20 0.8907068 -0.5979800 -0.4592932 -13.7979800 1
+#> 3 1 -2.05 -14.20 -1.3929626 0.4125810 -3.4429626 -13.7874190 1
+#> 4 1 -1.55 -3.10 1.1518793 -0.3477345 -0.3981207 -3.4477345 1
+#> 5 1 -1.90 -3.60 1.5967332 -0.1425273 -0.3032668 -3.7425273 1
+#> 6 1 -13.70 -1.85 0.4373354 1.0375641 -13.2626646 -0.8124359 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4340 -37550 9325
+#> initial value 998.131940
+#> iter 2 value 812.634378
+#> iter 3 value 796.609329
+#> iter 4 value 795.783434
+#> iter 5 value 763.678982
+#> iter 6 value 756.816852
+#> iter 7 value 755.989514
+#> iter 8 value 755.963584
+#> iter 9 value 755.963372
+#> iter 10 value 755.963344
+#> iter 11 value 755.963294
+#> iter 12 value 755.963254
+#> iter 12 value 755.963254
+#> iter 12 value 755.963254
+#> final value 755.963254
+#> converged
+#> This is Run number 9
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.5994028 -0.07374626 -2.7005972 -1.7737463 2
+#> 2 1 -1.35 -13.20 0.8996715 1.78931885 -0.4503285 -11.4106812 1
+#> 3 1 -2.05 -14.20 -0.0330885 -0.43946402 -2.0830885 -14.6394640 1
+#> 4 1 -1.55 -3.10 1.3529570 0.25326949 -0.1970430 -2.8467305 1
+#> 5 1 -1.90 -3.60 0.9909023 1.03056192 -0.9090977 -2.5694381 1
+#> 6 1 -13.70 -1.85 3.2654966 1.16031656 -10.4345034 -0.6896834 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4720 -36025 8475
+#> initial value 998.131940
+#> iter 2 value 839.347079
+#> iter 3 value 826.646741
+#> iter 4 value 826.436137
+#> iter 5 value 791.362908
+#> iter 6 value 784.577440
+#> iter 7 value 783.556475
+#> iter 8 value 783.532403
+#> iter 9 value 783.532222
+#> iter 10 value 783.532175
+#> iter 11 value 783.532104
+#> iter 12 value 783.532065
+#> iter 12 value 783.532065
+#> iter 12 value 783.532065
+#> final value 783.532065
+#> converged
+#> This is Run number 10
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.0821378 -0.4327229 -3.2178622 -2.132723 2
+#> 2 1 -1.35 -13.20 1.0755924 0.2678658 -0.2744076 -12.932134 1
+#> 3 1 -2.05 -14.20 2.9433383 0.1578782 0.8933383 -14.042122 1
+#> 4 1 -1.55 -3.10 0.6620746 0.8101378 -0.8879254 -2.289862 1
+#> 5 1 -1.90 -3.60 -0.7451380 -0.2154410 -2.6451380 -3.815441 1
+#> 6 1 -13.70 -1.85 -0.9069444 -0.4052363 -14.6069444 -2.255236 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3400 -35450 9450
+#> initial value 998.131940
+#> iter 2 value 839.443052
+#> iter 3 value 821.927230
+#> iter 4 value 820.481429
+#> iter 5 value 783.789564
+#> iter 6 value 777.566750
+#> iter 7 value 776.764495
+#> iter 8 value 776.745718
+#> iter 9 value 776.745589
+#> iter 10 value 776.745571
+#> iter 11 value 776.745551
+#> iter 12 value 776.745537
+#> iter 12 value 776.745537
+#> iter 12 value 776.745537
+#> final value 776.745537
+#> converged
+#> This is Run number 11
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.4343189 0.5238402 -4.7343189 -1.1761598 2
+#> 2 1 -1.35 -13.20 -0.2142344 0.2281255 -1.5642344 -12.9718745 1
+#> 3 1 -2.05 -14.20 0.2002572 1.0697175 -1.8497428 -13.1302825 1
+#> 4 1 -1.55 -3.10 1.1721299 3.4586616 -0.3778701 0.3586616 2
+#> 5 1 -1.90 -3.60 -0.4219491 2.5889815 -2.3219491 -1.0110185 2
+#> 6 1 -13.70 -1.85 -0.6229243 1.2022856 -14.3229243 -0.6477144 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3800 -37900 10250
+#> initial value 998.131940
+#> iter 2 value 800.368017
+#> iter 3 value 780.456495
+#> iter 4 value 779.088736
+#> iter 5 value 747.552954
+#> iter 6 value 741.201449
+#> iter 7 value 740.512979
+#> iter 8 value 740.485063
+#> iter 9 value 740.484960
+#> iter 10 value 740.484862
+#> iter 10 value 740.484862
+#> iter 11 value 740.484846
+#> iter 12 value 740.484830
+#> iter 12 value 740.484830
+#> iter 12 value 740.484828
+#> final value 740.484828
+#> converged
+#> This is Run number 12
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.03845864 -1.0242932 -4.338459 -2.724293 2
+#> 2 1 -1.35 -13.20 0.20712175 0.8574136 -1.142878 -12.342586 1
+#> 3 1 -2.05 -14.20 -0.28291500 -0.3659374 -2.332915 -14.565937 1
+#> 4 1 -1.55 -3.10 0.20198238 1.1661545 -1.348018 -1.933846 1
+#> 5 1 -1.90 -3.60 -0.25581810 0.1341704 -2.155818 -3.465830 1
+#> 6 1 -13.70 -1.85 -0.16492800 -0.2039991 -13.864928 -2.053999 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4400 -38250 9250
+#> initial value 998.131940
+#> iter 2 value 802.946452
+#> iter 3 value 786.998341
+#> iter 4 value 785.811731
+#> iter 5 value 754.904472
+#> iter 6 value 747.906621
+#> iter 7 value 747.057143
+#> iter 8 value 747.027188
+#> iter 9 value 747.026982
+#> iter 10 value 747.026949
+#> iter 11 value 747.026911
+#> iter 12 value 747.026893
+#> iter 12 value 747.026893
+#> iter 12 value 747.026893
+#> final value 747.026893
+#> converged
+#> This is Run number 13
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.0291596 -0.5846641 -2.270840 -2.2846641 1
+#> 2 1 -1.35 -13.20 -0.3833716 2.1357967 -1.733372 -11.0642033 1
+#> 3 1 -2.05 -14.20 0.5206070 2.0885141 -1.529393 -12.1114859 1
+#> 4 1 -1.55 -3.10 -0.2029468 1.1698324 -1.752947 -1.9301676 1
+#> 5 1 -1.90 -3.60 0.2870776 2.6009628 -1.612922 -0.9990372 2
+#> 6 1 -13.70 -1.85 1.7265487 3.1056215 -11.973451 1.2556215 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3560 -35950 9025
+#> initial value 998.131940
+#> iter 2 value 836.091780
+#> iter 3 value 819.853676
+#> iter 4 value 818.041525
+#> iter 5 value 781.550007
+#> iter 6 value 774.986724
+#> iter 7 value 774.052380
+#> iter 8 value 774.029432
+#> iter 9 value 774.029283
+#> iter 10 value 774.029270
+#> iter 10 value 774.029261
+#> iter 10 value 774.029257
+#> final value 774.029257
+#> converged
+#> This is Run number 14
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.05670603 -0.0417180 -4.2432940 -1.74171800 2
+#> 2 1 -1.35 -13.20 1.11925682 0.8151164 -0.2307432 -12.38488360 1
+#> 3 1 -2.05 -14.20 -1.20959017 -0.9876507 -3.2595902 -15.18765072 1
+#> 4 1 -1.55 -3.10 -0.97234774 3.0305437 -2.5223477 -0.06945633 2
+#> 5 1 -1.90 -3.60 0.98103741 1.0300973 -0.9189626 -2.56990272 1
+#> 6 1 -13.70 -1.85 -1.18661479 1.6845675 -14.8866148 -0.16543248 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4400 -37325 7800
+#> initial value 998.131940
+#> iter 2 value 825.651983
+#> iter 3 value 813.511114
+#> iter 4 value 811.461807
+#> iter 5 value 777.236391
+#> iter 6 value 769.845200
+#> iter 7 value 768.524768
+#> iter 8 value 768.487051
+#> iter 9 value 768.486810
+#> iter 9 value 768.486800
+#> iter 9 value 768.486796
+#> final value 768.486796
+#> converged
+#> This is Run number 15
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.4176024 -1.0549947 -2.8823976 -2.754995 2
+#> 2 1 -1.35 -13.20 -0.1961432 0.7609769 -1.5461432 -12.439023 1
+#> 3 1 -2.05 -14.20 3.1253109 -0.8694696 1.0753109 -15.069470 1
+#> 4 1 -1.55 -3.10 -0.8602572 -0.9100339 -2.4102572 -4.010034 1
+#> 5 1 -1.90 -3.60 2.3592684 -0.4520484 0.4592684 -4.052048 1
+#> 6 1 -13.70 -1.85 -1.1008318 -0.6478586 -14.8008318 -2.497859 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4220 -37750 8300
+#> initial value 998.131940
+#> iter 2 value 816.469947
+#> iter 3 value 802.674878
+#> iter 4 value 800.331644
+#> iter 5 value 767.031857
+#> iter 6 value 759.698868
+#> iter 7 value 758.552459
+#> iter 8 value 758.518494
+#> iter 9 value 758.518296
+#> iter 9 value 758.518286
+#> iter 9 value 758.518281
+#> final value 758.518281
+#> converged
+#> This is Run number 16
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.74775938 1.60437403 -3.5522406 -0.09562597 2
+#> 2 1 -1.35 -13.20 0.94277891 1.65583759 -0.4072211 -11.54416241 1
+#> 3 1 -2.05 -14.20 -0.26510201 1.76132796 -2.3151020 -12.43867204 1
+#> 4 1 -1.55 -3.10 0.05695857 -0.97163559 -1.4930414 -4.07163559 1
+#> 5 1 -1.90 -3.60 2.74283715 0.02506754 0.8428371 -3.57493246 1
+#> 6 1 -13.70 -1.85 2.83456150 0.52320700 -10.8654385 -1.32679300 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3300 -36875 10200
+#> initial value 998.131940
+#> iter 2 value 814.836257
+#> iter 3 value 794.337623
+#> iter 4 value 792.351638
+#> iter 5 value 758.196052
+#> iter 6 value 751.998806
+#> iter 7 value 751.286202
+#> iter 8 value 751.262095
+#> iter 9 value 751.261999
+#> iter 10 value 751.261971
+#> iter 11 value 751.261953
+#> iter 11 value 751.261952
+#> iter 11 value 751.261952
+#> final value 751.261952
+#> converged
+#> This is Run number 17
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.1014781 0.5771368 -3.1985219 -1.122863 2
+#> 2 1 -1.35 -13.20 -1.2035142 0.9648163 -2.5535142 -12.235184 1
+#> 3 1 -2.05 -14.20 -0.4387666 2.6161337 -2.4887666 -11.583866 1
+#> 4 1 -1.55 -3.10 0.7195539 0.6302729 -0.8304461 -2.469727 1
+#> 5 1 -1.90 -3.60 3.6492326 1.4374621 1.7492326 -2.162538 1
+#> 6 1 -13.70 -1.85 0.2585508 0.7378242 -13.4414492 -1.112176 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4020 -38125 10125
+#> initial value 998.131940
+#> iter 2 value 798.185220
+#> iter 3 value 779.037081
+#> iter 4 value 777.933526
+#> iter 5 value 747.036587
+#> iter 6 value 740.565625
+#> iter 7 value 739.872910
+#> iter 8 value 739.844762
+#> iter 9 value 739.844648
+#> iter 10 value 739.844529
+#> iter 10 value 739.844528
+#> iter 11 value 739.844515
+#> iter 12 value 739.844487
+#> iter 12 value 739.844487
+#> iter 12 value 739.844484
+#> final value 739.844484
+#> converged
+#> This is Run number 18
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.90132928 0.92807034 -5.2013293 -0.7719297 2
+#> 2 1 -1.35 -13.20 1.99373216 0.70347330 0.6437322 -12.4965267 1
+#> 3 1 -2.05 -14.20 -0.04108362 0.31443474 -2.0910836 -13.8855653 1
+#> 4 1 -1.55 -3.10 2.20405209 2.21221629 0.6540521 -0.8877837 1
+#> 5 1 -1.90 -3.60 -1.13964535 2.27876968 -3.0396453 -1.3212303 2
+#> 6 1 -13.70 -1.85 0.46257169 0.04921439 -13.2374283 -1.8007856 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3780 -38225 9775
+#> initial value 998.131940
+#> iter 2 value 799.140832
+#> iter 3 value 780.426398
+#> iter 4 value 778.163969
+#> iter 5 value 746.426425
+#> iter 6 value 739.781662
+#> iter 7 value 738.980619
+#> iter 8 value 738.948623
+#> iter 9 value 738.948534
+#> iter 10 value 738.948505
+#> iter 10 value 738.948504
+#> iter 10 value 738.948501
+#> final value 738.948501
+#> converged
+#> This is Run number 19
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.0741845 0.3498269 -5.3741845 -1.3501731 2
+#> 2 1 -1.35 -13.20 2.5215430 -0.2210067 1.1715430 -13.4210067 1
+#> 3 1 -2.05 -14.20 0.5427005 0.5586853 -1.5072995 -13.6413147 1
+#> 4 1 -1.55 -3.10 0.3295907 -0.1709370 -1.2204093 -3.2709370 1
+#> 5 1 -1.90 -3.60 1.5182468 -1.2329223 -0.3817532 -4.8329223 1
+#> 6 1 -13.70 -1.85 0.3255375 0.9404351 -13.3744625 -0.9095649 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3840 -36400 9625
+#> initial value 998.131940
+#> iter 2 value 826.176194
+#> iter 3 value 808.736934
+#> iter 4 value 807.787185
+#> iter 5 value 773.479182
+#> iter 6 value 767.037814
+#> iter 7 value 766.272424
+#> iter 8 value 766.251751
+#> iter 9 value 766.251592
+#> iter 10 value 766.251572
+#> iter 11 value 766.251529
+#> iter 12 value 766.251493
+#> iter 12 value 766.251493
+#> iter 12 value 766.251493
+#> final value 766.251493
+#> converged
+#> This is Run number 20
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.3427212 0.94092748 -2.9572788 -0.7590725 2
+#> 2 1 -1.35 -13.20 0.4219547 -0.76179453 -0.9280453 -13.9617945 1
+#> 3 1 -2.05 -14.20 -0.8931682 0.07232921 -2.9431682 -14.1276708 1
+#> 4 1 -1.55 -3.10 0.3588642 0.55020756 -1.1911358 -2.5497924 1
+#> 5 1 -1.90 -3.60 -1.5593097 -0.75182061 -3.4593097 -4.3518206 1
+#> 6 1 -13.70 -1.85 0.1738337 -0.08602991 -13.5261663 -1.9360299 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3380 -36450 9325
+#> initial value 998.131940
+#> iter 2 value 827.168271
+#> iter 3 value 809.503327
+#> iter 4 value 807.157004
+#> iter 5 value 771.210739
+#> iter 6 value 764.635653
+#> iter 7 value 763.747527
+#> iter 8 value 763.723621
+#> iter 9 value 763.723500
+#> iter 9 value 763.723493
+#> iter 9 value 763.723490
+#> final value 763.723490
+#> converged
+#> This is Run number 21
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.4469499 -1.0236290 -4.746950 -2.723629 2
+#> 2 1 -1.35 -13.20 0.0189455 -0.7125208 -1.331055 -13.912521 1
+#> 3 1 -2.05 -14.20 -0.1293122 -0.1225981 -2.179312 -14.322598 1
+#> 4 1 -1.55 -3.10 -1.4340205 1.4286238 -2.984021 -1.671376 2
+#> 5 1 -1.90 -3.60 0.6817066 1.0093199 -1.218293 -2.590680 1
+#> 6 1 -13.70 -1.85 1.0273579 3.1448692 -12.672642 1.294869 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3840 -36925 9050
+#> initial value 998.131940
+#> iter 2 value 823.036974
+#> iter 3 value 806.949262
+#> iter 4 value 805.095589
+#> iter 5 value 770.651683
+#> iter 6 value 763.828673
+#> iter 7 value 762.884364
+#> iter 8 value 762.857683
+#> iter 9 value 762.857502
+#> iter 10 value 762.857488
+#> iter 10 value 762.857479
+#> iter 10 value 762.857475
+#> final value 762.857475
+#> converged
+#> This is Run number 22
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.1948125 -0.3770963 -3.1051875 -2.077096 2
+#> 2 1 -1.35 -13.20 0.2782994 -0.1792153 -1.0717006 -13.379215 1
+#> 3 1 -2.05 -14.20 -0.1755772 1.3730510 -2.2255772 -12.826949 1
+#> 4 1 -1.55 -3.10 0.2894350 -0.3640023 -1.2605650 -3.464002 1
+#> 5 1 -1.90 -3.60 1.5714447 -0.4094092 -0.3285553 -4.009409 1
+#> 6 1 -13.70 -1.85 3.6052614 0.1353600 -10.0947386 -1.714640 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -36900 9275
+#> initial value 998.131940
+#> iter 2 value 822.194963
+#> iter 3 value 806.853540
+#> iter 4 value 806.587280
+#> iter 5 value 773.650111
+#> iter 6 value 766.876678
+#> iter 7 value 766.075309
+#> iter 8 value 766.053755
+#> iter 9 value 766.053569
+#> iter 9 value 766.053558
+#> iter 9 value 766.053558
+#> final value 766.053558
+#> converged
+#> This is Run number 23
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.153599485 1.8027130 -4.1464005 0.102713 2
+#> 2 1 -1.35 -13.20 0.376221640 -0.7084627 -0.9737784 -13.908463 1
+#> 3 1 -2.05 -14.20 1.143438842 0.6304007 -0.9065612 -13.569599 1
+#> 4 1 -1.55 -3.10 0.936983308 0.1470791 -0.6130167 -2.952921 1
+#> 5 1 -1.90 -3.60 1.635985632 0.1657513 -0.2640144 -3.434249 1
+#> 6 1 -13.70 -1.85 0.007804165 -0.3435351 -13.6921958 -2.193535 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3080 -35350 9675
+#> initial value 998.131940
+#> iter 2 value 838.690048
+#> iter 3 value 819.849454
+#> iter 4 value 817.979943
+#> iter 5 value 780.687387
+#> iter 6 value 774.600794
+#> iter 7 value 773.835538
+#> iter 8 value 773.817420
+#> iter 9 value 773.817316
+#> iter 9 value 773.817305
+#> iter 9 value 773.817300
+#> final value 773.817300
+#> converged
+#> This is Run number 24
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.7582394 1.1361467 -6.0582394 -0.5638533 2
+#> 2 1 -1.35 -13.20 1.7474992 -0.4923708 0.3974992 -13.6923708 1
+#> 3 1 -2.05 -14.20 1.2045757 0.7192137 -0.8454243 -13.4807863 1
+#> 4 1 -1.55 -3.10 -0.3037345 -0.5960037 -1.8537345 -3.6960037 1
+#> 5 1 -1.90 -3.60 2.8327165 0.8032525 0.9327165 -2.7967475 1
+#> 6 1 -13.70 -1.85 -0.2459209 1.0799993 -13.9459209 -0.7700007 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3040 -37350 10700
+#> initial value 998.131940
+#> iter 2 value 803.852706
+#> iter 3 value 780.961296
+#> iter 4 value 778.399260
+#> iter 5 value 744.757083
+#> iter 6 value 738.838124
+#> iter 7 value 738.160811
+#> iter 8 value 738.131626
+#> iter 9 value 738.131574
+#> iter 10 value 738.131534
+#> iter 11 value 738.131520
+#> iter 11 value 738.131512
+#> iter 11 value 738.131512
+#> final value 738.131512
+#> converged
+#> This is Run number 25
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.2241496 0.3936844 -2.07585039 -1.3063156 2
+#> 2 1 -1.35 -13.20 1.5846225 -0.8436951 0.23462251 -14.0436951 1
+#> 3 1 -2.05 -14.20 -0.4266293 -0.1805012 -2.47662925 -14.3805012 1
+#> 4 1 -1.55 -3.10 1.6496931 0.2544759 0.09969315 -2.8455241 1
+#> 5 1 -1.90 -3.60 1.1523551 0.1575188 -0.74764495 -3.4424812 1
+#> 6 1 -13.70 -1.85 1.6147058 1.6011131 -12.08529425 -0.2488869 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4060 -38375 8800
+#> initial value 998.131940
+#> iter 2 value 803.937227
+#> iter 3 value 788.337044
+#> iter 4 value 785.544902
+#> iter 5 value 753.483789
+#> iter 6 value 746.276096
+#> iter 7 value 745.273850
+#> iter 8 value 745.239927
+#> iter 9 value 745.239817
+#> iter 9 value 745.239815
+#> iter 9 value 745.239813
+#> final value 745.239813
+#> converged
+#> This is Run number 26
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.9500649 -1.0863032 -2.3499351 -2.786303 1
+#> 2 1 -1.35 -13.20 -0.4123229 1.7367334 -1.7623229 -11.463267 1
+#> 3 1 -2.05 -14.20 1.4390107 2.9380794 -0.6109893 -11.261921 1
+#> 4 1 -1.55 -3.10 1.8184782 -0.6711854 0.2684782 -3.771185 1
+#> 5 1 -1.90 -3.60 2.1263605 -0.6091263 0.2263605 -4.209126 1
+#> 6 1 -13.70 -1.85 -0.1282265 -0.4777694 -13.8282265 -2.327769 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3420 -36325 10550
+#> initial value 998.131940
+#> iter 2 value 819.741211
+#> iter 3 value 798.662883
+#> iter 4 value 797.691958
+#> iter 5 value 763.819833
+#> iter 6 value 757.898451
+#> iter 7 value 757.299132
+#> iter 8 value 757.280457
+#> iter 9 value 757.280364
+#> iter 10 value 757.280279
+#> iter 11 value 757.280249
+#> iter 12 value 757.280236
+#> iter 12 value 757.280236
+#> iter 12 value 757.280236
+#> final value 757.280236
+#> converged
+#> This is Run number 27
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.0330198 0.48130666 -3.2669802 -1.2186933 2
+#> 2 1 -1.35 -13.20 -1.0186796 1.64191075 -2.3686796 -11.5580892 1
+#> 3 1 -2.05 -14.20 0.2746398 -0.64257869 -1.7753602 -14.8425787 1
+#> 4 1 -1.55 -3.10 0.6778806 0.86622701 -0.8721194 -2.2337730 1
+#> 5 1 -1.90 -3.60 -0.3301141 0.07553137 -2.2301141 -3.5244686 1
+#> 6 1 -13.70 -1.85 -0.4130348 1.68334681 -14.1130348 -0.1666532 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4240 -37075 7575
+#> initial value 998.131940
+#> iter 2 value 830.365032
+#> iter 3 value 818.446742
+#> iter 4 value 816.052736
+#> iter 5 value 780.550199
+#> iter 6 value 773.108159
+#> iter 7 value 771.727497
+#> iter 8 value 771.690677
+#> iter 9 value 771.690495
+#> iter 9 value 771.690489
+#> iter 9 value 771.690488
+#> final value 771.690488
+#> converged
+#> This is Run number 28
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.3889718 2.61556777 -3.9110282 0.9155678 2
+#> 2 1 -1.35 -13.20 3.4915278 0.48420318 2.1415278 -12.7157968 1
+#> 3 1 -2.05 -14.20 -0.3896632 -0.90011560 -2.4396632 -15.1001156 1
+#> 4 1 -1.55 -3.10 -0.4079354 -0.01331545 -1.9579354 -3.1133154 1
+#> 5 1 -1.90 -3.60 2.7520299 -0.70477169 0.8520299 -4.3047717 1
+#> 6 1 -13.70 -1.85 4.0525420 0.32305991 -9.6474580 -1.5269401 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -36625 8475
+#> initial value 998.131940
+#> iter 2 value 831.007872
+#> iter 3 value 816.678187
+#> iter 4 value 814.727664
+#> iter 5 value 779.223578
+#> iter 6 value 772.244506
+#> iter 7 value 771.140342
+#> iter 8 value 771.111270
+#> iter 9 value 771.111081
+#> iter 10 value 771.111069
+#> iter 10 value 771.111064
+#> iter 10 value 771.111064
+#> final value 771.111064
+#> converged
+#> This is Run number 29
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.5237974 0.03115513 -4.8237974 -1.668845 2
+#> 2 1 -1.35 -13.20 0.3273560 -1.17450841 -1.0226440 -14.374508 1
+#> 3 1 -2.05 -14.20 0.5387210 -0.98911404 -1.5112790 -15.189114 1
+#> 4 1 -1.55 -3.10 0.8770052 -0.51105409 -0.6729948 -3.611054 1
+#> 5 1 -1.90 -3.60 0.5275517 1.05070462 -1.3724483 -2.549295 1
+#> 6 1 -13.70 -1.85 -0.3752493 -0.08416412 -14.0752493 -1.934164 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3400 -36475 10575
+#> initial value 998.131940
+#> iter 2 value 817.496464
+#> iter 3 value 796.238976
+#> iter 4 value 795.162320
+#> iter 5 value 761.441959
+#> iter 6 value 755.509739
+#> iter 7 value 754.904686
+#> iter 8 value 754.885004
+#> iter 9 value 754.884911
+#> iter 10 value 754.884825
+#> iter 11 value 754.884807
+#> iter 12 value 754.884785
+#> iter 12 value 754.884785
+#> iter 12 value 754.884785
+#> final value 754.884785
+#> converged
+#> This is Run number 30
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3507037 -1.1155286 -4.650704 -2.8155286 2
+#> 2 1 -1.35 -13.20 -0.6231010 0.5357722 -1.973101 -12.6642278 1
+#> 3 1 -2.05 -14.20 -0.8684448 0.3145857 -2.918445 -13.8854143 1
+#> 4 1 -1.55 -3.10 -0.3278663 3.2709719 -1.877866 0.1709719 2
+#> 5 1 -1.90 -3.60 -0.6984556 0.7597418 -2.598456 -2.8402582 1
+#> 6 1 -13.70 -1.85 -0.6910435 -1.1014933 -14.391043 -2.9514933 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3440 -35525 8675
+#> initial value 998.131940
+#> iter 2 value 843.768213
+#> iter 3 value 828.312275
+#> iter 4 value 826.278209
+#> iter 5 value 788.247023
+#> iter 6 value 781.666807
+#> iter 7 value 780.652945
+#> iter 8 value 780.629964
+#> iter 9 value 780.629840
+#> iter 9 value 780.629831
+#> iter 9 value 780.629828
+#> final value 780.629828
+#> converged
+#> This is Run number 31
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.5334379 -0.4343586 -4.83343790 -2.134359 2
+#> 2 1 -1.35 -13.20 1.4252089 -0.2276011 0.07520889 -13.427601 1
+#> 3 1 -2.05 -14.20 -1.3659080 0.8283056 -3.41590801 -13.371694 1
+#> 4 1 -1.55 -3.10 0.1308927 0.9737166 -1.41910732 -2.126283 1
+#> 5 1 -1.90 -3.60 -0.7240009 1.5318725 -2.62400085 -2.068128 2
+#> 6 1 -13.70 -1.85 1.2874782 0.2149531 -12.41252177 -1.635047 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3520 -34550 10300
+#> initial value 998.131940
+#> iter 2 value 844.407146
+#> iter 3 value 824.918125
+#> iter 4 value 824.653201
+#> iter 5 value 788.870171
+#> iter 6 value 783.270329
+#> iter 7 value 782.730096
+#> iter 8 value 782.719733
+#> iter 9 value 782.719670
+#> iter 10 value 782.719655
+#> iter 11 value 782.719604
+#> iter 12 value 782.719563
+#> iter 12 value 782.719563
+#> iter 12 value 782.719563
+#> final value 782.719563
+#> converged
+#> This is Run number 32
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.5665609 1.1935615 -4.8665609 -0.5064385 2
+#> 2 1 -1.35 -13.20 -0.5818425 0.4646298 -1.9318425 -12.7353702 1
+#> 3 1 -2.05 -14.20 0.3397971 2.7627875 -1.7102029 -11.4372125 1
+#> 4 1 -1.55 -3.10 -0.3918284 -0.4160263 -1.9418284 -3.5160263 1
+#> 5 1 -1.90 -3.60 2.1118849 0.9344290 0.2118849 -2.6655710 1
+#> 6 1 -13.70 -1.85 0.3640487 0.7194498 -13.3359513 -1.1305502 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3440 -37525 10775
+#> initial value 998.131940
+#> iter 2 value 801.266958
+#> iter 3 value 779.054344
+#> iter 4 value 777.593636
+#> iter 5 value 745.426083
+#> iter 6 value 739.479234
+#> iter 7 value 738.855381
+#> iter 8 value 738.828558
+#> iter 9 value 738.828477
+#> iter 10 value 738.828350
+#> iter 10 value 738.828342
+#> iter 10 value 738.828342
+#> final value 738.828342
+#> converged
+#> This is Run number 33
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.08007814 0.2459548 -4.2199219 -1.454045 2
+#> 2 1 -1.35 -13.20 0.94592172 -0.8353740 -0.4040783 -14.035374 1
+#> 3 1 -2.05 -14.20 -0.68246658 0.9336573 -2.7324666 -13.266343 1
+#> 4 1 -1.55 -3.10 -0.86424247 0.5313364 -2.4142425 -2.568664 1
+#> 5 1 -1.90 -3.60 0.61406679 1.0741716 -1.2859332 -2.525828 1
+#> 6 1 -13.70 -1.85 -0.35870461 -0.4524353 -14.0587046 -2.302435 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2700 -35800 9525
+#> initial value 998.131940
+#> iter 2 value 833.353510
+#> iter 3 value 813.691544
+#> iter 4 value 810.557613
+#> iter 5 value 771.539736
+#> iter 6 value 765.220686
+#> iter 7 value 764.367235
+#> iter 8 value 764.346282
+#> iter 9 value 764.346241
+#> iter 9 value 764.346239
+#> iter 9 value 764.346238
+#> final value 764.346238
+#> converged
+#> This is Run number 34
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.08363643 4.0746499 -4.3836364 2.374650 2
+#> 2 1 -1.35 -13.20 1.46851216 1.5432027 0.1185122 -11.656797 1
+#> 3 1 -2.05 -14.20 -0.78690146 2.1598364 -2.8369015 -12.040164 1
+#> 4 1 -1.55 -3.10 -0.26345384 0.4244812 -1.8134538 -2.675519 1
+#> 5 1 -1.90 -3.60 0.24357263 1.6111610 -1.6564274 -1.988839 1
+#> 6 1 -13.70 -1.85 2.95222398 0.3871934 -10.7477760 -1.462807 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3480 -36975 9700
+#> initial value 998.131940
+#> iter 2 value 817.408576
+#> iter 3 value 798.735434
+#> iter 4 value 796.600323
+#> iter 5 value 762.253426
+#> iter 6 value 755.749452
+#> iter 7 value 754.940710
+#> iter 8 value 754.915502
+#> iter 9 value 754.915381
+#> iter 9 value 754.915373
+#> iter 9 value 754.915373
+#> final value 754.915373
+#> converged
+#> This is Run number 35
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.80565055 0.8277831 -3.4943494 -0.8722169 2
+#> 2 1 -1.35 -13.20 0.79237310 1.8895867 -0.5576269 -11.3104133 1
+#> 3 1 -2.05 -14.20 0.44652947 0.5664685 -1.6034705 -13.6335315 1
+#> 4 1 -1.55 -3.10 1.43264896 -0.7330763 -0.1173510 -3.8330763 1
+#> 5 1 -1.90 -3.60 0.03977203 0.3157834 -1.8602280 -3.2842166 1
+#> 6 1 -13.70 -1.85 0.49964919 0.2903315 -13.2003508 -1.5596685 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -37600 9925
+#> initial value 998.131940
+#> iter 2 value 807.322100
+#> iter 3 value 788.788201
+#> iter 4 value 787.623500
+#> iter 5 value 755.563303
+#> iter 6 value 749.034195
+#> iter 7 value 748.308429
+#> iter 8 value 748.282800
+#> iter 9 value 748.282661
+#> iter 10 value 748.282593
+#> iter 11 value 748.282552
+#> iter 11 value 748.282548
+#> iter 11 value 748.282548
+#> final value 748.282548
+#> converged
+#> This is Run number 36
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.87410267 -0.3818885 -2.4258973 -2.081888 2
+#> 2 1 -1.35 -13.20 0.01539307 1.2154860 -1.3346069 -11.984514 1
+#> 3 1 -2.05 -14.20 1.76014749 -0.8430551 -0.2898525 -15.043055 1
+#> 4 1 -1.55 -3.10 0.35987293 -0.3918332 -1.1901271 -3.491833 1
+#> 5 1 -1.90 -3.60 -1.03722017 1.0258463 -2.9372202 -2.574154 2
+#> 6 1 -13.70 -1.85 -1.17607245 -0.6798428 -14.8760725 -2.529843 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2720 -37350 10925
+#> initial value 998.131940
+#> iter 2 value 801.487178
+#> iter 3 value 777.013271
+#> iter 4 value 773.717579
+#> iter 5 value 739.278981
+#> iter 6 value 733.556351
+#> iter 7 value 732.874605
+#> iter 8 value 732.842251
+#> iter 9 value 732.842220
+#> iter 10 value 732.842203
+#> iter 11 value 732.842186
+#> iter 11 value 732.842180
+#> iter 11 value 732.842180
+#> final value 732.842180
+#> converged
+#> This is Run number 37
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.822530469 0.8279944 -2.477470 -0.8720056 2
+#> 2 1 -1.35 -13.20 -0.254057245 0.6836334 -1.604057 -12.5163666 1
+#> 3 1 -2.05 -14.20 -0.706735193 0.1322340 -2.756735 -14.0677660 1
+#> 4 1 -1.55 -3.10 0.008619609 -0.2694211 -1.541380 -3.3694211 1
+#> 5 1 -1.90 -3.60 0.846751440 0.5298287 -1.053249 -3.0701713 1
+#> 6 1 -13.70 -1.85 1.390983544 -0.1083463 -12.309016 -1.9583463 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3300 -35225 10275
+#> initial value 998.131940
+#> iter 2 value 836.063194
+#> iter 3 value 815.999617
+#> iter 4 value 815.151143
+#> iter 5 value 779.494754
+#> iter 6 value 773.711802
+#> iter 7 value 773.108357
+#> iter 8 value 773.094013
+#> iter 9 value 773.093920
+#> iter 10 value 773.093884
+#> iter 11 value 773.093839
+#> iter 12 value 773.093825
+#> iter 12 value 773.093825
+#> iter 12 value 773.093825
+#> final value 773.093825
+#> converged
+#> This is Run number 38
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.8783302 1.20226708 -3.4216698 -0.49773292 2
+#> 2 1 -1.35 -13.20 -0.6217646 -1.14768234 -1.9717646 -14.34768234 1
+#> 3 1 -2.05 -14.20 -0.2418918 -0.44997244 -2.2918918 -14.64997244 1
+#> 4 1 -1.55 -3.10 1.3124067 0.85873941 -0.2375933 -2.24126059 1
+#> 5 1 -1.90 -3.60 1.3248909 0.07919136 -0.5751091 -3.52080864 1
+#> 6 1 -13.70 -1.85 0.5820208 1.90729397 -13.1179792 0.05729397 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3380 -36750 9425
+#> initial value 998.131940
+#> iter 2 value 822.375283
+#> iter 3 value 804.306226
+#> iter 4 value 801.802785
+#> iter 5 value 766.377596
+#> iter 6 value 759.780061
+#> iter 7 value 758.904647
+#> iter 8 value 758.879554
+#> iter 9 value 758.879444
+#> iter 9 value 758.879439
+#> iter 9 value 758.879436
+#> final value 758.879436
+#> converged
+#> This is Run number 39
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.65888769 -0.489183894 -3.6411123 -2.189184 2
+#> 2 1 -1.35 -13.20 -0.89508469 0.561896614 -2.2450847 -12.638103 1
+#> 3 1 -2.05 -14.20 2.85489445 -0.003656874 0.8048944 -14.203657 1
+#> 4 1 -1.55 -3.10 -0.40348203 0.526574338 -1.9534820 -2.573426 1
+#> 5 1 -1.90 -3.60 0.57649368 -1.335079555 -1.3235063 -4.935080 1
+#> 6 1 -13.70 -1.85 -0.02539681 0.101377641 -13.7253968 -1.748622 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3060 -35775 10175
+#> initial value 998.131940
+#> iter 2 value 829.482595
+#> iter 3 value 808.958327
+#> iter 4 value 807.181896
+#> iter 5 value 771.195783
+#> iter 6 value 765.238687
+#> iter 7 value 764.557050
+#> iter 8 value 764.538407
+#> iter 9 value 764.538310
+#> iter 10 value 764.538293
+#> iter 11 value 764.538274
+#> iter 11 value 764.538267
+#> iter 11 value 764.538267
+#> final value 764.538267
+#> converged
+#> This is Run number 40
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.8432649 1.9921211 -1.4567351 0.2921211 2
+#> 2 1 -1.35 -13.20 0.4931781 -0.5064490 -0.8568219 -13.7064490 1
+#> 3 1 -2.05 -14.20 1.4246658 -1.3697065 -0.6253342 -15.5697065 1
+#> 4 1 -1.55 -3.10 1.3705718 -1.1128632 -0.1794282 -4.2128632 1
+#> 5 1 -1.90 -3.60 0.6668333 0.1701533 -1.2331667 -3.4298467 1
+#> 6 1 -13.70 -1.85 2.2852311 1.3127905 -11.4147689 -0.5372095 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -37375 9550
+#> initial value 998.131940
+#> iter 2 value 813.540703
+#> iter 3 value 797.015409
+#> iter 4 value 796.525075
+#> iter 5 value 764.447136
+#> iter 6 value 757.710099
+#> iter 7 value 756.954642
+#> iter 8 value 756.931525
+#> iter 9 value 756.931343
+#> iter 10 value 756.931287
+#> iter 11 value 756.931214
+#> iter 12 value 756.931184
+#> iter 12 value 756.931184
+#> iter 12 value 756.931184
+#> final value 756.931184
+#> converged
+#> This is Run number 41
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.600244400 1.1091749 -4.900244 -0.5908251 2
+#> 2 1 -1.35 -13.20 0.253514130 -0.3749894 -1.096486 -13.5749894 1
+#> 3 1 -2.05 -14.20 0.700730099 1.7698894 -1.349270 -12.4301106 1
+#> 4 1 -1.55 -3.10 -0.001891537 -0.2674200 -1.551892 -3.3674200 1
+#> 5 1 -1.90 -3.60 -0.647796483 -0.4449195 -2.547796 -4.0449195 1
+#> 6 1 -13.70 -1.85 0.211613954 1.5735321 -13.488386 -0.2764679 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3460 -35875 8725
+#> initial value 998.131940
+#> iter 2 value 838.943804
+#> iter 3 value 823.252615
+#> iter 4 value 821.034275
+#> iter 5 value 783.534143
+#> iter 6 value 776.853168
+#> iter 7 value 775.836174
+#> iter 8 value 775.812232
+#> iter 9 value 775.812107
+#> iter 9 value 775.812100
+#> iter 9 value 775.812097
+#> final value 775.812097
+#> converged
+#> This is Run number 42
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.24957679 -0.3948731 -4.0504232 -2.094873 2
+#> 2 1 -1.35 -13.20 0.03336209 1.1966457 -1.3166379 -12.003354 1
+#> 3 1 -2.05 -14.20 -0.71294207 -0.2600094 -2.7629421 -14.460009 1
+#> 4 1 -1.55 -3.10 1.34541151 0.2366671 -0.2045885 -2.863333 1
+#> 5 1 -1.90 -3.60 1.45464030 0.3955862 -0.4453597 -3.204414 1
+#> 6 1 -13.70 -1.85 -1.08028654 -0.3703269 -14.7802865 -2.220327 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3780 -38500 10150
+#> initial value 998.131940
+#> iter 2 value 792.182846
+#> iter 3 value 772.282235
+#> iter 4 value 770.266272
+#> iter 5 value 739.395284
+#> iter 6 value 732.971244
+#> iter 7 value 732.234286
+#> iter 8 value 732.200592
+#> iter 9 value 732.200513
+#> iter 10 value 732.200439
+#> iter 11 value 732.200418
+#> iter 12 value 732.200399
+#> iter 12 value 732.200399
+#> iter 12 value 732.200399
+#> final value 732.200399
+#> converged
+#> This is Run number 43
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.4915665 0.6206025 -4.7915665 -1.0793975 2
+#> 2 1 -1.35 -13.20 1.5905451 0.1742261 0.2405451 -13.0257739 1
+#> 3 1 -2.05 -14.20 -0.1594701 -0.1731825 -2.2094701 -14.3731825 1
+#> 4 1 -1.55 -3.10 1.7165452 -1.1116179 0.1665452 -4.2116179 1
+#> 5 1 -1.90 -3.60 0.3365563 -0.9920252 -1.5634437 -4.5920252 1
+#> 6 1 -13.70 -1.85 0.2658008 1.0943812 -13.4341992 -0.7556188 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4160 -37200 8675
+#> initial value 998.131940
+#> iter 2 value 821.916855
+#> iter 3 value 807.343245
+#> iter 4 value 805.688078
+#> iter 5 value 771.894290
+#> iter 6 value 764.846957
+#> iter 7 value 763.807120
+#> iter 8 value 763.777202
+#> iter 9 value 763.776977
+#> iter 10 value 763.776958
+#> iter 10 value 763.776947
+#> iter 10 value 763.776940
+#> final value 763.776940
+#> converged
+#> This is Run number 44
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.07986532 1.3613011 -4.2201347 -0.33869889 2
+#> 2 1 -1.35 -13.20 1.74433253 2.0599726 0.3943325 -11.14002745 1
+#> 3 1 -2.05 -14.20 -0.19417378 0.1784068 -2.2441738 -14.02159324 1
+#> 4 1 -1.55 -3.10 0.25170222 3.0887365 -1.2982978 -0.01126347 2
+#> 5 1 -1.90 -3.60 1.66712729 0.4689360 -0.2328727 -3.13106397 1
+#> 6 1 -13.70 -1.85 0.58596474 -0.1098035 -13.1140353 -1.95980348 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2940 -36475 10000
+#> initial value 998.131940
+#> iter 2 value 821.321115
+#> iter 3 value 800.670065
+#> iter 4 value 797.838283
+#> iter 5 value 761.656026
+#> iter 6 value 755.447505
+#> iter 7 value 754.674482
+#> iter 8 value 754.650669
+#> iter 9 value 754.650605
+#> iter 9 value 754.650603
+#> iter 9 value 754.650603
+#> final value 754.650603
+#> converged
+#> This is Run number 45
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2458805 0.10629460 -4.5458805 -1.593705 2
+#> 2 1 -1.35 -13.20 1.1198212 0.07414584 -0.2301788 -13.125854 1
+#> 3 1 -2.05 -14.20 3.4492419 0.95945640 1.3992419 -13.240544 1
+#> 4 1 -1.55 -3.10 -1.4295397 -0.75556042 -2.9795397 -3.855560 1
+#> 5 1 -1.90 -3.60 2.1307332 2.02945786 0.2307332 -1.570542 1
+#> 6 1 -13.70 -1.85 0.2489761 2.67464799 -13.4510239 0.824648 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -35625 9300
+#> initial value 998.131940
+#> iter 2 value 838.753266
+#> iter 3 value 822.686723
+#> iter 4 value 822.050059
+#> iter 5 value 786.456664
+#> iter 6 value 780.095517
+#> iter 7 value 779.288241
+#> iter 8 value 779.269712
+#> iter 9 value 779.269565
+#> iter 10 value 779.269531
+#> iter 11 value 779.269483
+#> iter 12 value 779.269454
+#> iter 12 value 779.269454
+#> iter 12 value 779.269454
+#> final value 779.269454
+#> converged
+#> This is Run number 46
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.2959515 2.1706267 -3.00404845 0.4706267 2
+#> 2 1 -1.35 -13.20 1.4355996 -0.4855768 0.08559965 -13.6855768 1
+#> 3 1 -2.05 -14.20 -0.3728636 3.2788218 -2.42286360 -10.9211782 1
+#> 4 1 -1.55 -3.10 1.4860496 0.2204187 -0.06395036 -2.8795813 1
+#> 5 1 -1.90 -3.60 -1.1216762 1.1847441 -3.02167625 -2.4152559 2
+#> 6 1 -13.70 -1.85 0.2121813 2.5976092 -13.48781872 0.7476092 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3420 -36600 10375
+#> initial value 998.131940
+#> iter 2 value 817.404265
+#> iter 3 value 796.770166
+#> iter 4 value 795.473008
+#> iter 5 value 761.620147
+#> iter 6 value 755.552881
+#> iter 7 value 754.904803
+#> iter 8 value 754.883847
+#> iter 9 value 754.883744
+#> iter 10 value 754.883683
+#> iter 11 value 754.883651
+#> iter 11 value 754.883646
+#> iter 11 value 754.883646
+#> final value 754.883646
+#> converged
+#> This is Run number 47
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.5224686 -0.9042366 -4.8224686 -2.604237 2
+#> 2 1 -1.35 -13.20 0.7583581 2.7669659 -0.5916419 -10.433034 1
+#> 3 1 -2.05 -14.20 0.6855731 -0.3210096 -1.3644269 -14.521010 1
+#> 4 1 -1.55 -3.10 0.7964004 -1.2907509 -0.7535996 -4.390751 1
+#> 5 1 -1.90 -3.60 -1.1457974 0.9694768 -3.0457974 -2.630523 2
+#> 6 1 -13.70 -1.85 0.5820358 0.6813319 -13.1179642 -1.168668 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3200 -37225 10575
+#> initial value 998.131940
+#> iter 2 value 806.862567
+#> iter 3 value 784.826840
+#> iter 4 value 782.702470
+#> iter 5 value 749.241949
+#> iter 6 value 743.232227
+#> iter 7 value 742.561002
+#> iter 8 value 742.534227
+#> iter 9 value 742.534157
+#> iter 10 value 742.534108
+#> iter 10 value 742.534106
+#> iter 10 value 742.534096
+#> final value 742.534096
+#> converged
+#> This is Run number 48
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.20327945 0.92616227 -4.5032794 -0.7738377 2
+#> 2 1 -1.35 -13.20 -1.51886635 -1.20435313 -2.8688663 -14.4043531 1
+#> 3 1 -2.05 -14.20 -0.14780385 2.22039960 -2.1978038 -11.9796004 1
+#> 4 1 -1.55 -3.10 0.94329627 0.07421779 -0.6067037 -3.0257822 1
+#> 5 1 -1.90 -3.60 0.01302895 0.76435022 -1.8869710 -2.8356498 1
+#> 6 1 -13.70 -1.85 1.03013733 4.39721816 -12.6698627 2.5472182 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -37325 9675
+#> initial value 998.131940
+#> iter 2 value 813.105209
+#> iter 3 value 795.391477
+#> iter 4 value 794.150754
+#> iter 5 value 761.380026
+#> iter 6 value 754.760921
+#> iter 7 value 753.984863
+#> iter 8 value 753.959869
+#> iter 9 value 753.959704
+#> iter 10 value 753.959669
+#> iter 11 value 753.959629
+#> iter 12 value 753.959617
+#> iter 12 value 753.959617
+#> iter 12 value 753.959617
+#> final value 753.959617
+#> converged
+#> This is Run number 49
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.138709125 0.2387965 -2.161291 -1.4612035 2
+#> 2 1 -1.35 -13.20 -0.004639869 2.9257721 -1.354640 -10.2742279 1
+#> 3 1 -2.05 -14.20 0.065843481 0.1178580 -1.984157 -14.0821420 1
+#> 4 1 -1.55 -3.10 -1.585212711 3.3562159 -3.135213 0.2562159 2
+#> 5 1 -1.90 -3.60 0.406848330 0.2351549 -1.493152 -3.3648451 1
+#> 6 1 -13.70 -1.85 0.985196101 -0.9466293 -12.714804 -2.7966293 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3520 -38400 10550
+#> initial value 998.131940
+#> iter 2 value 790.291256
+#> iter 3 value 768.611228
+#> iter 4 value 766.400780
+#> iter 5 value 735.196943
+#> iter 6 value 729.073622
+#> iter 7 value 728.373981
+#> iter 8 value 728.339056
+#> iter 9 value 728.338986
+#> iter 10 value 728.338907
+#> iter 11 value 728.338852
+#> iter 12 value 728.338837
+#> iter 12 value 728.338837
+#> iter 12 value 728.338837
+#> final value 728.338837
+#> converged
+#> This is Run number 50
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.4695854 -0.2276799 -3.8304146 -1.927680 2
+#> 2 1 -1.35 -13.20 0.7605393 0.3487866 -0.5894607 -12.851213 1
+#> 3 1 -2.05 -14.20 3.5738905 0.7689458 1.5238905 -13.431054 1
+#> 4 1 -1.55 -3.10 0.1764405 0.2624325 -1.3735595 -2.837567 1
+#> 5 1 -1.90 -3.60 2.3891970 -1.6480856 0.4891970 -5.248086 1
+#> 6 1 -13.70 -1.85 0.1333175 -0.6278360 -13.5666825 -2.477836 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3960 -38325 10325
+#> initial value 998.131940
+#> iter 2 value 793.608429
+#> iter 3 value 773.657329
+#> iter 4 value 772.488965
+#> iter 5 value 741.985596
+#> iter 6 value 735.640869
+#> iter 7 value 734.968237
+#> iter 8 value 734.938383
+#> iter 9 value 734.938283
+#> iter 10 value 734.938127
+#> iter 10 value 734.938122
+#> iter 10 value 734.938122
+#> final value 734.938122
+#> converged
+#> This is Run number 51
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2436145 0.02476129 -4.5436145 -1.675239 2
+#> 2 1 -1.35 -13.20 -0.1441018 3.13272465 -1.4941018 -10.067275 1
+#> 3 1 -2.05 -14.20 1.1769652 0.36283047 -0.8730348 -13.837170 1
+#> 4 1 -1.55 -3.10 1.3669967 -0.13787985 -0.1830033 -3.237880 1
+#> 5 1 -1.90 -3.60 0.1783193 -0.65408907 -1.7216807 -4.254089 1
+#> 6 1 -13.70 -1.85 0.5718605 -1.36390675 -13.1281395 -3.213907 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3880 -36750 9875
+#> initial value 998.131940
+#> iter 2 value 819.609956
+#> iter 3 value 801.403444
+#> iter 4 value 800.557561
+#> iter 5 value 767.136075
+#> iter 6 value 760.726428
+#> iter 7 value 760.014110
+#> iter 8 value 759.993139
+#> iter 9 value 759.992991
+#> iter 10 value 759.992942
+#> iter 11 value 759.992887
+#> iter 12 value 759.992872
+#> iter 12 value 759.992872
+#> iter 12 value 759.992872
+#> final value 759.992872
+#> converged
+#> This is Run number 52
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.8363902 -0.7489393 -3.4636098 -2.4489393 2
+#> 2 1 -1.35 -13.20 2.8307556 0.2323005 1.4807556 -12.9676995 1
+#> 3 1 -2.05 -14.20 0.6612769 0.3075115 -1.3887231 -13.8924885 1
+#> 4 1 -1.55 -3.10 1.7615865 -0.5850805 0.2115865 -3.6850805 1
+#> 5 1 -1.90 -3.60 1.1051487 3.0481182 -0.7948513 -0.5518818 2
+#> 6 1 -13.70 -1.85 -0.2909534 1.4111602 -13.9909534 -0.4388398 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3760 -37900 9850
+#> initial value 998.131940
+#> iter 2 value 803.373283
+#> iter 3 value 784.540424
+#> iter 4 value 782.594776
+#> iter 5 value 750.449319
+#> iter 6 value 743.871397
+#> iter 7 value 743.095186
+#> iter 8 value 743.065808
+#> iter 9 value 743.065698
+#> iter 10 value 743.065663
+#> iter 11 value 743.065652
+#> iter 11 value 743.065642
+#> iter 11 value 743.065642
+#> final value 743.065642
+#> converged
+#> This is Run number 53
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.3278683 -0.7989263 -1.9721317 -2.4989263 1
+#> 2 1 -1.35 -13.20 -0.2728445 0.3001745 -1.6228445 -12.8998255 1
+#> 3 1 -2.05 -14.20 1.6141297 0.5850346 -0.4358703 -13.6149654 1
+#> 4 1 -1.55 -3.10 -1.3704965 0.5814338 -2.9204965 -2.5185662 2
+#> 5 1 -1.90 -3.60 1.4917879 2.4372791 -0.4082121 -1.1627209 1
+#> 6 1 -13.70 -1.85 -0.3550697 2.7732537 -14.0550697 0.9232537 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3260 -36475 8650
+#> initial value 998.131940
+#> iter 2 value 831.184669
+#> iter 3 value 814.862024
+#> iter 4 value 811.732113
+#> iter 5 value 773.693706
+#> iter 6 value 766.741225
+#> iter 7 value 765.688503
+#> iter 8 value 765.663779
+#> iter 9 value 765.663728
+#> iter 9 value 765.663726
+#> iter 9 value 765.663726
+#> final value 765.663726
+#> converged
+#> This is Run number 54
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.88187878 -0.4991303 -5.181879 -2.19913027 2
+#> 2 1 -1.35 -13.20 -1.24244946 0.4722082 -2.592449 -12.72779181 1
+#> 3 1 -2.05 -14.20 0.07854368 0.3828924 -1.971456 -13.81710758 1
+#> 4 1 -1.55 -3.10 0.11361489 -0.7195421 -1.436385 -3.81954208 1
+#> 5 1 -1.90 -3.60 -1.41143618 -0.5929770 -3.311436 -4.19297703 1
+#> 6 1 -13.70 -1.85 0.45469016 1.7730973 -13.245310 -0.07690267 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3900 -36025 9525
+#> initial value 998.131940
+#> iter 2 value 831.932364
+#> iter 3 value 815.025445
+#> iter 4 value 814.300856
+#> iter 5 value 779.475359
+#> iter 6 value 773.084631
+#> iter 7 value 772.315932
+#> iter 8 value 772.296838
+#> iter 9 value 772.296685
+#> iter 9 value 772.296674
+#> iter 9 value 772.296674
+#> final value 772.296674
+#> converged
+#> This is Run number 55
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.27292548 0.8043133 -4.572925 -0.8956867 2
+#> 2 1 -1.35 -13.20 -0.02699911 -0.0896911 -1.376999 -13.2896911 1
+#> 3 1 -2.05 -14.20 -0.29702839 -1.3170017 -2.347028 -15.5170017 1
+#> 4 1 -1.55 -3.10 2.71059154 2.5612652 1.160592 -0.5387348 1
+#> 5 1 -1.90 -3.60 0.32903451 -1.2068651 -1.570965 -4.8068651 1
+#> 6 1 -13.70 -1.85 0.33963532 0.2844811 -13.360365 -1.5655189 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3420 -35975 8750
+#> initial value 998.131940
+#> iter 2 value 837.422981
+#> iter 3 value 821.527582
+#> iter 4 value 819.168764
+#> iter 5 value 781.671756
+#> iter 6 value 774.962350
+#> iter 7 value 773.947321
+#> iter 8 value 773.923301
+#> iter 9 value 773.923184
+#> iter 9 value 773.923178
+#> iter 9 value 773.923176
+#> final value 773.923176
+#> converged
+#> This is Run number 56
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.9446641 -0.6913950 -3.3553359 -2.391395 2
+#> 2 1 -1.35 -13.20 1.1260203 1.2888237 -0.2239797 -11.911176 1
+#> 3 1 -2.05 -14.20 0.2988398 -0.7932995 -1.7511602 -14.993300 1
+#> 4 1 -1.55 -3.10 0.7503515 0.6752538 -0.7996485 -2.424746 1
+#> 5 1 -1.90 -3.60 1.1767635 -0.1093214 -0.7232365 -3.709321 1
+#> 6 1 -13.70 -1.85 0.5342798 1.0419060 -13.1657202 -0.808094 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3520 -37400 9475
+#> initial value 998.131940
+#> iter 2 value 813.081511
+#> iter 3 value 794.922641
+#> iter 4 value 792.271042
+#> iter 5 value 758.180539
+#> iter 6 value 751.478783
+#> iter 7 value 750.605412
+#> iter 8 value 750.577135
+#> iter 9 value 750.577037
+#> iter 9 value 750.577036
+#> iter 9 value 750.577036
+#> final value 750.577036
+#> converged
+#> This is Run number 57
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.3139111 0.6566839 -5.6139111 -1.043316 2
+#> 2 1 -1.35 -13.20 0.1115677 1.0436169 -1.2384323 -12.156383 1
+#> 3 1 -2.05 -14.20 1.5832227 -1.0479592 -0.4667773 -15.247959 1
+#> 4 1 -1.55 -3.10 2.0566259 0.5858678 0.5066259 -2.514132 1
+#> 5 1 -1.90 -3.60 0.3212783 -0.6839197 -1.5787217 -4.283920 1
+#> 6 1 -13.70 -1.85 -0.1880876 0.8050426 -13.8880876 -1.044957 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3540 -37150 9225
+#> initial value 998.131940
+#> iter 2 value 818.397139
+#> iter 3 value 801.057318
+#> iter 4 value 798.414623
+#> iter 5 value 763.637756
+#> iter 6 value 756.847993
+#> iter 7 value 755.923008
+#> iter 8 value 755.895604
+#> iter 9 value 755.895492
+#> iter 9 value 755.895488
+#> iter 9 value 755.895486
+#> final value 755.895486
+#> converged
+#> This is Run number 58
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.8115374 0.1259506 -3.4884626 -1.574049 2
+#> 2 1 -1.35 -13.20 0.4675415 -0.3970284 -0.8824585 -13.597028 1
+#> 3 1 -2.05 -14.20 1.1873444 0.1840598 -0.8626556 -14.015940 1
+#> 4 1 -1.55 -3.10 -0.1893475 0.9033120 -1.7393475 -2.196688 1
+#> 5 1 -1.90 -3.60 -1.4870134 1.2577064 -3.3870134 -2.342294 2
+#> 6 1 -13.70 -1.85 0.3259185 0.1718174 -13.3740815 -1.678183 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3540 -39050 10750
+#> initial value 998.131940
+#> iter 2 value 778.724187
+#> iter 3 value 756.192634
+#> iter 4 value 753.719245
+#> iter 5 value 723.642057
+#> iter 6 value 717.704598
+#> iter 7 value 716.997061
+#> iter 8 value 716.954766
+#> iter 9 value 716.954693
+#> iter 10 value 716.954662
+#> iter 11 value 716.954575
+#> iter 12 value 716.954447
+#> iter 12 value 716.954447
+#> iter 12 value 716.954447
+#> final value 716.954447
+#> converged
+#> This is Run number 59
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.6047280 0.3773397 -4.9047280 -1.322660 2
+#> 2 1 -1.35 -13.20 1.1476856 1.4088746 -0.2023144 -11.791125 1
+#> 3 1 -2.05 -14.20 0.1751192 0.3477712 -1.8748808 -13.852229 1
+#> 4 1 -1.55 -3.10 0.8681075 1.4860436 -0.6818925 -1.613956 1
+#> 5 1 -1.90 -3.60 -0.3707588 0.4804608 -2.2707588 -3.119539 1
+#> 6 1 -13.70 -1.85 -0.6558904 1.0659160 -14.3558904 -0.784084 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3340 -36000 10650
+#> initial value 998.131940
+#> iter 2 value 823.171071
+#> iter 3 value 801.718665
+#> iter 4 value 800.844489
+#> iter 5 value 766.632193
+#> iter 6 value 760.840458
+#> iter 7 value 760.268920
+#> iter 8 value 760.251984
+#> iter 9 value 760.251899
+#> iter 10 value 760.251813
+#> iter 11 value 760.251781
+#> iter 12 value 760.251769
+#> iter 12 value 760.251769
+#> iter 12 value 760.251769
+#> final value 760.251769
+#> converged
+#> This is Run number 60
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.57514785 -1.62627390 -4.875148 -3.326274 2
+#> 2 1 -1.35 -13.20 0.05377485 3.59338681 -1.296225 -9.606613 1
+#> 3 1 -2.05 -14.20 0.69813234 0.18714773 -1.351868 -14.012852 1
+#> 4 1 -1.55 -3.10 3.79992092 2.05232134 2.249921 -1.047679 1
+#> 5 1 -1.90 -3.60 0.04734092 -1.29772212 -1.852659 -4.897722 1
+#> 6 1 -13.70 -1.85 0.32667199 0.06677307 -13.373328 -1.783227 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3020 -36025 9550
+#> initial value 998.131940
+#> iter 2 value 830.760983
+#> iter 3 value 811.790294
+#> iter 4 value 809.145682
+#> iter 5 value 771.901750
+#> iter 6 value 765.550074
+#> iter 7 value 764.710501
+#> iter 8 value 764.688766
+#> iter 9 value 764.688684
+#> iter 9 value 764.688680
+#> iter 9 value 764.688678
+#> final value 764.688678
+#> converged
+#> This is Run number 61
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.5307987 -0.502689922 -2.7692013 -2.202690 2
+#> 2 1 -1.35 -13.20 1.0394877 1.635539672 -0.3105123 -11.564460 1
+#> 3 1 -2.05 -14.20 1.0967165 1.112453791 -0.9532835 -13.087546 1
+#> 4 1 -1.55 -3.10 -0.1387617 1.307037188 -1.6887617 -1.792963 1
+#> 5 1 -1.90 -3.60 1.5193536 0.009860834 -0.3806464 -3.590139 1
+#> 6 1 -13.70 -1.85 0.1266054 -1.039518284 -13.5733946 -2.889518 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3500 -35625 9200
+#> initial value 998.131940
+#> iter 2 value 839.058478
+#> iter 3 value 822.367535
+#> iter 4 value 820.804340
+#> iter 5 value 784.104698
+#> iter 6 value 777.719102
+#> iter 7 value 776.846896
+#> iter 8 value 776.826217
+#> iter 9 value 776.826076
+#> iter 10 value 776.826059
+#> iter 11 value 776.826044
+#> iter 12 value 776.826031
+#> iter 12 value 776.826031
+#> iter 12 value 776.826031
+#> final value 776.826031
+#> converged
+#> This is Run number 62
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.3473705 2.2920967 -3.9526295 0.5920967 2
+#> 2 1 -1.35 -13.20 1.1834431 -1.3895652 -0.1665569 -14.5895652 1
+#> 3 1 -2.05 -14.20 1.6050912 1.3957129 -0.4449088 -12.8042871 1
+#> 4 1 -1.55 -3.10 0.1175296 1.7878840 -1.4324704 -1.3121160 2
+#> 5 1 -1.90 -3.60 0.7136243 0.5065159 -1.1863757 -3.0934841 1
+#> 6 1 -13.70 -1.85 -0.2320520 0.7995876 -13.9320520 -1.0504124 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3500 -36375 10575
+#> initial value 998.131940
+#> iter 2 value 818.954730
+#> iter 3 value 797.948761
+#> iter 4 value 797.132415
+#> iter 5 value 763.523089
+#> iter 6 value 757.594371
+#> iter 7 value 757.005748
+#> iter 8 value 756.987365
+#> iter 9 value 756.987273
+#> iter 10 value 756.987172
+#> iter 11 value 756.987146
+#> iter 12 value 756.987126
+#> iter 12 value 756.987126
+#> iter 12 value 756.987126
+#> final value 756.987126
+#> converged
+#> This is Run number 63
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.3075441 0.5541875 -2.99245591 -1.145812 2
+#> 2 1 -1.35 -13.20 1.3315740 0.5623091 -0.01842597 -12.637691 1
+#> 3 1 -2.05 -14.20 -1.3794989 0.4400511 -3.42949885 -13.759949 1
+#> 4 1 -1.55 -3.10 1.5349523 -0.3906656 -0.01504769 -3.490666 1
+#> 5 1 -1.90 -3.60 -0.0784647 -0.9186792 -1.97846470 -4.518679 1
+#> 6 1 -13.70 -1.85 -0.4509328 -0.8309991 -14.15093279 -2.680999 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3340 -36900 9975
+#> initial value 998.131940
+#> iter 2 value 816.249074
+#> iter 3 value 796.494034
+#> iter 4 value 794.345904
+#> iter 5 value 759.955293
+#> iter 6 value 753.624277
+#> iter 7 value 752.866685
+#> iter 8 value 752.842056
+#> iter 9 value 752.841954
+#> iter 10 value 752.841938
+#> iter 11 value 752.841923
+#> iter 11 value 752.841921
+#> iter 11 value 752.841921
+#> final value 752.841921
+#> converged
+#> This is Run number 64
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.04696908 0.3459612 -3.2530309 -1.3540388 2
+#> 2 1 -1.35 -13.20 0.74167109 2.6689502 -0.6083289 -10.5310498 1
+#> 3 1 -2.05 -14.20 1.16498827 0.3442178 -0.8850117 -13.8557822 1
+#> 4 1 -1.55 -3.10 0.07138125 3.7843574 -1.4786187 0.6843574 2
+#> 5 1 -1.90 -3.60 1.33257503 2.7208431 -0.5674250 -0.8791569 1
+#> 6 1 -13.70 -1.85 0.53128191 -1.1585245 -13.1687181 -3.0085245 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -36825 9625
+#> initial value 998.131940
+#> iter 2 value 820.462286
+#> iter 3 value 803.072553
+#> iter 4 value 802.090129
+#> iter 5 value 768.546894
+#> iter 6 value 761.998515
+#> iter 7 value 761.226875
+#> iter 8 value 761.204475
+#> iter 9 value 761.204305
+#> iter 10 value 761.204277
+#> iter 11 value 761.204233
+#> iter 12 value 761.204203
+#> iter 12 value 761.204203
+#> iter 12 value 761.204203
+#> final value 761.204203
+#> converged
+#> This is Run number 65
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.452717 -0.5333500 -0.8472825 -2.233350 1
+#> 2 1 -1.35 -13.20 0.380567 2.1813423 -0.9694330 -11.018658 1
+#> 3 1 -2.05 -14.20 -1.014419 1.7292447 -3.0644189 -12.470755 1
+#> 4 1 -1.55 -3.10 3.199249 1.3424933 1.6492490 -1.757507 1
+#> 5 1 -1.90 -3.60 2.539451 -0.4042975 0.6394510 -4.004298 1
+#> 6 1 -13.70 -1.85 0.351458 -0.4003640 -13.3485420 -2.250364 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4180 -36800 9100
+#> initial value 998.131940
+#> iter 2 value 824.658616
+#> iter 3 value 809.191045
+#> iter 4 value 808.253454
+#> iter 5 value 774.430344
+#> iter 6 value 767.647523
+#> iter 7 value 766.751950
+#> iter 8 value 766.727251
+#> iter 9 value 766.727041
+#> iter 10 value 766.727009
+#> iter 11 value 766.726971
+#> iter 12 value 766.726941
+#> iter 12 value 766.726941
+#> iter 12 value 766.726941
+#> final value 766.726941
+#> converged
+#> This is Run number 66
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.3750048 1.27230408 -3.9249952 -0.4276959 2
+#> 2 1 -1.35 -13.20 1.9095339 2.28817825 0.5595339 -10.9118218 1
+#> 3 1 -2.05 -14.20 -0.2929050 0.06765735 -2.3429050 -14.1323426 1
+#> 4 1 -1.55 -3.10 0.8450003 0.70579736 -0.7049997 -2.3942026 1
+#> 5 1 -1.90 -3.60 1.0775343 0.19044430 -0.8224657 -3.4095557 1
+#> 6 1 -13.70 -1.85 1.2401107 -0.95548021 -12.4598893 -2.8054802 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3480 -37450 10600
+#> initial value 998.131940
+#> iter 2 value 803.806085
+#> iter 3 value 782.271459
+#> iter 4 value 780.776178
+#> iter 5 value 748.374464
+#> iter 6 value 742.317023
+#> iter 7 value 741.673247
+#> iter 8 value 741.647075
+#> iter 9 value 741.646990
+#> iter 10 value 741.646889
+#> iter 10 value 741.646886
+#> iter 10 value 741.646876
+#> final value 741.646876
+#> converged
+#> This is Run number 67
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.9274259 1.59313703 -5.2274259 -0.106863 2
+#> 2 1 -1.35 -13.20 -0.3787414 0.35464202 -1.7287414 -12.845358 1
+#> 3 1 -2.05 -14.20 1.7133033 -1.19607584 -0.3366967 -15.396076 1
+#> 4 1 -1.55 -3.10 -0.9370864 0.49760074 -2.4870864 -2.602399 1
+#> 5 1 -1.90 -3.60 0.6732683 0.07438315 -1.2267317 -3.525617 1
+#> 6 1 -13.70 -1.85 1.6449383 -1.12325426 -12.0550617 -2.973254 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3360 -36275 9925
+#> initial value 998.131940
+#> iter 2 value 825.168430
+#> iter 3 value 805.876425
+#> iter 4 value 804.213289
+#> iter 5 value 769.115022
+#> iter 6 value 762.885214
+#> iter 7 value 762.149945
+#> iter 8 value 762.129063
+#> iter 9 value 762.128941
+#> iter 10 value 762.128924
+#> iter 11 value 762.128902
+#> iter 12 value 762.128890
+#> iter 12 value 762.128890
+#> iter 12 value 762.128890
+#> final value 762.128890
+#> converged
+#> This is Run number 68
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.3768921 1.6847830 -2.9231079 -0.01521698 2
+#> 2 1 -1.35 -13.20 0.8399943 -0.6487689 -0.5100057 -13.84876887 1
+#> 3 1 -2.05 -14.20 0.7427929 0.6610394 -1.3072071 -13.53896063 1
+#> 4 1 -1.55 -3.10 -0.1618961 1.2772755 -1.7118961 -1.82272454 1
+#> 5 1 -1.90 -3.60 -0.0644338 -0.2221791 -1.9644338 -3.82217909 1
+#> 6 1 -13.70 -1.85 -1.0373482 0.5354503 -14.7373482 -1.31454974 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3140 -34575 10050
+#> initial value 998.131940
+#> iter 2 value 845.597459
+#> iter 3 value 826.127610
+#> iter 4 value 825.155777
+#> iter 5 value 788.191756
+#> iter 6 value 782.521844
+#> iter 7 value 781.899295
+#> iter 8 value 781.886287
+#> iter 9 value 781.886200
+#> iter 10 value 781.886186
+#> iter 11 value 781.886153
+#> iter 12 value 781.886128
+#> iter 12 value 781.886128
+#> iter 12 value 781.886128
+#> final value 781.886128
+#> converged
+#> This is Run number 69
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.15020609 1.1285263 -2.1497939 -0.5714737 2
+#> 2 1 -1.35 -13.20 1.72910782 0.5119437 0.3791078 -12.6880563 1
+#> 3 1 -2.05 -14.20 0.49389509 -1.4895896 -1.5561049 -15.6895896 1
+#> 4 1 -1.55 -3.10 -0.02684105 2.7625859 -1.5768410 -0.3374141 2
+#> 5 1 -1.90 -3.60 -0.98024388 0.5987154 -2.8802439 -3.0012846 1
+#> 6 1 -13.70 -1.85 -0.28484837 0.7405223 -13.9848484 -1.1094777 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3220 -38400 9900
+#> initial value 998.131940
+#> iter 2 value 794.920317
+#> iter 3 value 774.320516
+#> iter 4 value 770.204734
+#> iter 5 value 736.847354
+#> iter 6 value 730.357836
+#> iter 7 value 729.497005
+#> iter 8 value 729.458042
+#> iter 9 value 729.458026
+#> iter 9 value 729.458023
+#> iter 9 value 729.458019
+#> final value 729.458019
+#> converged
+#> This is Run number 70
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.17620657 -0.8217496 -2.1237934 -2.521750 1
+#> 2 1 -1.35 -13.20 1.59801014 -1.1902539 0.2480101 -14.390254 1
+#> 3 1 -2.05 -14.20 0.54258144 -0.8997256 -1.5074186 -15.099726 1
+#> 4 1 -1.55 -3.10 2.68768583 1.2672532 1.1376858 -1.832747 1
+#> 5 1 -1.90 -3.60 0.47684813 -0.4272589 -1.4231519 -4.027259 1
+#> 6 1 -13.70 -1.85 -0.03354702 -0.6189660 -13.7335470 -2.468966 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3700 -35475 9450
+#> initial value 998.131940
+#> iter 2 value 839.429626
+#> iter 3 value 822.535622
+#> iter 4 value 821.665831
+#> iter 5 value 785.689597
+#> iter 6 value 779.447314
+#> iter 7 value 778.668749
+#> iter 8 value 778.650890
+#> iter 9 value 778.650753
+#> iter 9 value 778.650750
+#> iter 9 value 778.650750
+#> final value 778.650750
+#> converged
+#> This is Run number 71
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.7373377 1.4938269 -1.5626623 -0.2061731 2
+#> 2 1 -1.35 -13.20 -0.5069441 4.3793387 -1.8569441 -8.8206613 1
+#> 3 1 -2.05 -14.20 -1.2440745 1.9920504 -3.2940745 -12.2079496 1
+#> 4 1 -1.55 -3.10 1.3379003 -1.1655314 -0.2120997 -4.2655314 1
+#> 5 1 -1.90 -3.60 1.1820278 0.2777094 -0.7179722 -3.3222906 1
+#> 6 1 -13.70 -1.85 1.3781475 4.0976314 -12.3218525 2.2476314 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2780 -34975 10275
+#> initial value 998.131940
+#> iter 2 value 838.452751
+#> iter 3 value 817.296930
+#> iter 4 value 815.548737
+#> iter 5 value 778.292606
+#> iter 6 value 772.625012
+#> iter 7 value 771.990384
+#> iter 8 value 771.974993
+#> iter 9 value 771.974913
+#> iter 9 value 771.974902
+#> iter 9 value 771.974902
+#> final value 771.974902
+#> converged
+#> This is Run number 72
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.0433060042 1.33531366 -4.3433060 -0.3646863 2
+#> 2 1 -1.35 -13.20 0.5793897463 0.04245014 -0.7706103 -13.1575499 1
+#> 3 1 -2.05 -14.20 0.8367294825 4.67149324 -1.2132705 -9.5285068 1
+#> 4 1 -1.55 -3.10 -0.0009280698 -0.29777328 -1.5509281 -3.3977733 1
+#> 5 1 -1.90 -3.60 2.1727689823 1.32420403 0.2727690 -2.2757960 1
+#> 6 1 -13.70 -1.85 -1.0392354888 1.53114656 -14.7392355 -0.3188534 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3820 -37700 10000
+#> initial value 998.131940
+#> iter 2 value 805.216824
+#> iter 3 value 786.168597
+#> iter 4 value 784.717700
+#> iter 5 value 752.635507
+#> iter 6 value 746.152532
+#> iter 7 value 745.424176
+#> iter 8 value 745.397219
+#> iter 9 value 745.397097
+#> iter 10 value 745.397036
+#> iter 11 value 745.397016
+#> iter 12 value 745.397001
+#> iter 12 value 745.397001
+#> iter 12 value 745.397001
+#> final value 745.397001
+#> converged
+#> This is Run number 73
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.03901836 1.79743380 -4.260982 0.0974338 2
+#> 2 1 -1.35 -13.20 2.40043232 1.48364279 1.050432 -11.7163572 1
+#> 3 1 -2.05 -14.20 -0.49827898 1.40538913 -2.548279 -12.7946109 1
+#> 4 1 -1.55 -3.10 -0.25700237 0.34157943 -1.807002 -2.7584206 1
+#> 5 1 -1.90 -3.60 -0.97880905 0.02117144 -2.878809 -3.5788286 1
+#> 6 1 -13.70 -1.85 0.61934432 1.36019128 -13.080656 -0.4898087 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2940 -37400 9875
+#> initial value 998.131940
+#> iter 2 value 809.362965
+#> iter 3 value 788.573204
+#> iter 4 value 784.689508
+#> iter 5 value 748.983278
+#> iter 6 value 742.552344
+#> iter 7 value 741.703052
+#> iter 8 value 741.671958
+#> iter 9 value 741.671944
+#> iter 9 value 741.671944
+#> iter 9 value 741.671944
+#> final value 741.671944
+#> converged
+#> This is Run number 74
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.77778779 -0.3121138 -3.5222122 -2.012114 2
+#> 2 1 -1.35 -13.20 0.49740996 -0.9647594 -0.8525900 -14.164759 1
+#> 3 1 -2.05 -14.20 0.02751349 0.7330980 -2.0224865 -13.466902 1
+#> 4 1 -1.55 -3.10 1.26637761 0.5125573 -0.2836224 -2.587443 1
+#> 5 1 -1.90 -3.60 2.68461993 -0.9802782 0.7846199 -4.580278 1
+#> 6 1 -13.70 -1.85 0.33787504 -1.6460347 -13.3621250 -3.496035 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3440 -37850 10200
+#> initial value 998.131940
+#> iter 2 value 801.116847
+#> iter 3 value 780.529520
+#> iter 4 value 778.108093
+#> iter 5 value 745.493301
+#> iter 6 value 739.168165
+#> iter 7 value 738.424249
+#> iter 8 value 738.393438
+#> iter 9 value 738.393370
+#> iter 10 value 738.393335
+#> iter 10 value 738.393335
+#> iter 10 value 738.393335
+#> final value 738.393335
+#> converged
+#> This is Run number 75
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.2411740 -0.02551364 -4.0588260 -1.725513642 2
+#> 2 1 -1.35 -13.20 2.1370269 1.03323054 0.7870269 -12.166769460 1
+#> 3 1 -2.05 -14.20 0.2698463 -0.11191336 -1.7801537 -14.311913355 1
+#> 4 1 -1.55 -3.10 3.0024848 0.25502881 1.4524848 -2.844971187 1
+#> 5 1 -1.90 -3.60 -1.2820321 0.55107569 -3.1820321 -3.048924309 2
+#> 6 1 -13.70 -1.85 0.1904602 1.84800621 -13.5095398 -0.001993791 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4140 -37050 9675
+#> initial value 998.131940
+#> iter 2 value 817.102009
+#> iter 3 value 799.881495
+#> iter 4 value 799.216367
+#> iter 5 value 766.414180
+#> iter 6 value 759.821229
+#> iter 7 value 759.078350
+#> iter 8 value 759.056218
+#> iter 9 value 759.056050
+#> iter 10 value 759.056001
+#> iter 11 value 759.055938
+#> iter 12 value 759.055913
+#> iter 12 value 759.055913
+#> iter 12 value 759.055913
+#> final value 759.055913
+#> converged
+#> This is Run number 76
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.18111688 0.6848220 -4.4811169 -1.0151780 2
+#> 2 1 -1.35 -13.20 2.04370924 -0.2936445 0.6937092 -13.4936445 1
+#> 3 1 -2.05 -14.20 0.08338243 1.4847077 -1.9666176 -12.7152923 1
+#> 4 1 -1.55 -3.10 -0.08719662 2.3210186 -1.6371966 -0.7789814 2
+#> 5 1 -1.90 -3.60 2.03091326 1.6255957 0.1309133 -1.9744043 1
+#> 6 1 -13.70 -1.85 -0.86366791 0.7179319 -14.5636679 -1.1320681 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3460 -36975 9750
+#> initial value 998.131940
+#> iter 2 value 817.020023
+#> iter 3 value 798.159760
+#> iter 4 value 796.025825
+#> iter 5 value 761.702834
+#> iter 6 value 755.226731
+#> iter 7 value 754.427681
+#> iter 8 value 754.402539
+#> iter 9 value 754.402421
+#> iter 9 value 754.402412
+#> iter 9 value 754.402412
+#> final value 754.402412
+#> converged
+#> This is Run number 77
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.6910533 4.0170131 -3.6089467 2.317013 2
+#> 2 1 -1.35 -13.20 2.4957084 0.1782498 1.1457084 -13.021750 1
+#> 3 1 -2.05 -14.20 0.4906275 -0.5291859 -1.5593725 -14.729186 1
+#> 4 1 -1.55 -3.10 0.9518225 1.7003332 -0.5981775 -1.399667 1
+#> 5 1 -1.90 -3.60 -0.6477149 -0.8805364 -2.5477149 -4.480536 1
+#> 6 1 -13.70 -1.85 1.4738761 -1.9849382 -12.2261239 -3.834938 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3920 -36625 8600
+#> initial value 998.131940
+#> iter 2 value 830.196551
+#> iter 3 value 815.526503
+#> iter 4 value 813.647001
+#> iter 5 value 778.292531
+#> iter 6 value 771.362619
+#> iter 7 value 770.296157
+#> iter 8 value 770.267925
+#> iter 9 value 770.267736
+#> iter 10 value 770.267722
+#> iter 10 value 770.267716
+#> iter 10 value 770.267714
+#> final value 770.267714
+#> converged
+#> This is Run number 78
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.97643431 -0.6095550 -3.32356569 -2.3095550 2
+#> 2 1 -1.35 -13.20 1.27086202 1.7254586 -0.07913798 -11.4745414 1
+#> 3 1 -2.05 -14.20 1.76584845 -1.3452982 -0.28415155 -15.5452982 1
+#> 4 1 -1.55 -3.10 -0.11853512 0.5019930 -1.66853512 -2.5980070 1
+#> 5 1 -1.90 -3.60 1.04346422 -0.1006439 -0.85653578 -3.7006439 1
+#> 6 1 -13.70 -1.85 -0.06727317 1.2608061 -13.76727317 -0.5891939 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3580 -36875 9650
+#> initial value 998.131940
+#> iter 2 value 819.271346
+#> iter 3 value 801.015358
+#> iter 4 value 799.170961
+#> iter 5 value 764.906409
+#> iter 6 value 758.389778
+#> iter 7 value 757.583406
+#> iter 8 value 757.559049
+#> iter 9 value 757.558909
+#> iter 9 value 757.558900
+#> iter 9 value 757.558900
+#> final value 757.558900
+#> converged
+#> This is Run number 79
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.5189971 3.2309616 -4.8189971 1.5309616 2
+#> 2 1 -1.35 -13.20 2.2891676 0.3766150 0.9391676 -12.8233850 1
+#> 3 1 -2.05 -14.20 1.3297545 -0.6195446 -0.7202455 -14.8195446 1
+#> 4 1 -1.55 -3.10 0.3580034 -1.5770421 -1.1919966 -4.6770421 1
+#> 5 1 -1.90 -3.60 -0.7848488 -1.0505549 -2.6848488 -4.6505549 1
+#> 6 1 -13.70 -1.85 -1.6891570 1.3515482 -15.3891570 -0.4984518 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4220 -37775 10050
+#> initial value 998.131940
+#> iter 2 value 804.012044
+#> iter 3 value 785.603612
+#> iter 4 value 785.038622
+#> iter 5 value 753.892197
+#> iter 6 value 747.373828
+#> iter 7 value 746.705325
+#> iter 8 value 746.681196
+#> iter 9 value 746.681068
+#> iter 10 value 746.680927
+#> iter 11 value 746.680903
+#> iter 12 value 746.680862
+#> iter 12 value 746.680862
+#> iter 12 value 746.680862
+#> final value 746.680862
+#> converged
+#> This is Run number 80
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.01811429 0.1243725 -1.2818857 -1.5756275 1
+#> 2 1 -1.35 -13.20 1.21052981 0.6926980 -0.1394702 -12.5073020 1
+#> 3 1 -2.05 -14.20 0.02020883 0.1818687 -2.0297912 -14.0181313 1
+#> 4 1 -1.55 -3.10 -0.74284270 -1.7219299 -2.2928427 -4.8219299 1
+#> 5 1 -1.90 -3.60 0.10082667 2.2240046 -1.7991733 -1.3759954 2
+#> 6 1 -13.70 -1.85 1.20294367 1.0353531 -12.4970563 -0.8146469 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -35625 9300
+#> initial value 998.131940
+#> iter 2 value 838.957660
+#> iter 3 value 823.626334
+#> iter 4 value 823.517529
+#> iter 5 value 788.504933
+#> iter 6 value 782.106793
+#> iter 7 value 781.346302
+#> iter 8 value 781.330199
+#> iter 9 value 781.330079
+#> iter 10 value 781.330038
+#> iter 11 value 781.329973
+#> iter 12 value 781.329938
+#> iter 12 value 781.329938
+#> iter 12 value 781.329938
+#> final value 781.329938
+#> converged
+#> This is Run number 81
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.6941556 0.5463599 -5.9941556 -1.153640 2
+#> 2 1 -1.35 -13.20 -0.1338268 0.8224504 -1.4838268 -12.377550 1
+#> 3 1 -2.05 -14.20 -0.5532381 0.3609000 -2.6032381 -13.839100 1
+#> 4 1 -1.55 -3.10 0.5136067 0.5607941 -1.0363933 -2.539206 1
+#> 5 1 -1.90 -3.60 2.8461557 0.3276817 0.9461557 -3.272318 1
+#> 6 1 -13.70 -1.85 -0.3572658 2.0952900 -14.0572658 0.245290 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3660 -37325 9125
+#> initial value 998.131940
+#> iter 2 value 816.741228
+#> iter 3 value 799.867951
+#> iter 4 value 797.285596
+#> iter 5 value 762.960428
+#> iter 6 value 756.083665
+#> iter 7 value 755.138451
+#> iter 8 value 755.110056
+#> iter 9 value 755.109933
+#> iter 9 value 755.109928
+#> iter 9 value 755.109925
+#> final value 755.109925
+#> converged
+#> This is Run number 82
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.28217362 0.07585925 -4.5821736 -1.624141 2
+#> 2 1 -1.35 -13.20 0.42258010 0.45437697 -0.9274199 -12.745623 1
+#> 3 1 -2.05 -14.20 0.26689313 0.41776169 -1.7831069 -13.782238 1
+#> 4 1 -1.55 -3.10 0.60961943 1.07842979 -0.9403806 -2.021570 1
+#> 5 1 -1.90 -3.60 4.16416235 -0.43860823 2.2641623 -4.038608 1
+#> 6 1 -13.70 -1.85 -0.09981244 4.55546953 -13.7998124 2.705470 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3960 -36000 8575
+#> initial value 998.131940
+#> iter 2 value 838.750118
+#> iter 3 value 824.478299
+#> iter 4 value 823.099786
+#> iter 5 value 786.952536
+#> iter 6 value 780.216814
+#> iter 7 value 779.165333
+#> iter 8 value 779.139273
+#> iter 9 value 779.139086
+#> iter 10 value 779.139066
+#> iter 11 value 779.139046
+#> iter 12 value 779.139030
+#> iter 12 value 779.139030
+#> iter 12 value 779.139030
+#> final value 779.139030
+#> converged
+#> This is Run number 83
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.4077540 -0.8054873 -3.892246 -2.505487 2
+#> 2 1 -1.35 -13.20 -0.4571005 0.1007534 -1.807101 -13.099247 1
+#> 3 1 -2.05 -14.20 0.2474649 0.4596309 -1.802535 -13.740369 1
+#> 4 1 -1.55 -3.10 -1.0329258 1.6666836 -2.582926 -1.433316 2
+#> 5 1 -1.90 -3.60 0.2070225 2.0666026 -1.692978 -1.533397 2
+#> 6 1 -13.70 -1.85 -0.4719566 0.3635481 -14.171957 -1.486452 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3580 -35400 10250
+#> initial value 998.131940
+#> iter 2 value 834.339850
+#> iter 3 value 814.857093
+#> iter 4 value 814.373269
+#> iter 5 value 779.387004
+#> iter 6 value 773.510161
+#> iter 7 value 772.917384
+#> iter 8 value 772.903503
+#> iter 9 value 772.903411
+#> iter 10 value 772.903366
+#> iter 11 value 772.903308
+#> iter 12 value 772.903288
+#> iter 12 value 772.903288
+#> iter 12 value 772.903288
+#> final value 772.903288
+#> converged
+#> This is Run number 84
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.66274205 0.4061998 -2.6372579 -1.293800 2
+#> 2 1 -1.35 -13.20 0.05859853 -0.6029803 -1.2914015 -13.802980 1
+#> 3 1 -2.05 -14.20 0.08277695 2.1183833 -1.9672231 -12.081617 1
+#> 4 1 -1.55 -3.10 2.58948829 4.7286082 1.0394883 1.628608 2
+#> 5 1 -1.90 -3.60 1.60447765 0.9782006 -0.2955224 -2.621799 1
+#> 6 1 -13.70 -1.85 0.70090974 0.5969643 -12.9990903 -1.253036 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3380 -36275 10100
+#> initial value 998.131940
+#> iter 2 value 823.873606
+#> iter 3 value 804.113132
+#> iter 4 value 802.669393
+#> iter 5 value 767.921160
+#> iter 6 value 761.778520
+#> iter 7 value 761.085107
+#> iter 8 value 761.064976
+#> iter 9 value 761.064859
+#> iter 10 value 761.064828
+#> iter 11 value 761.064797
+#> iter 11 value 761.064790
+#> iter 11 value 761.064790
+#> final value 761.064790
+#> converged
+#> This is Run number 85
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3173420 1.6806362 -4.617342 -0.01936381 2
+#> 2 1 -1.35 -13.20 0.1153287 0.1480126 -1.234671 -13.05198738 1
+#> 3 1 -2.05 -14.20 -0.1785577 -0.7023493 -2.228558 -14.90234934 1
+#> 4 1 -1.55 -3.10 3.3582180 -0.2509483 1.808218 -3.35094827 1
+#> 5 1 -1.90 -3.60 0.4405335 -0.9774584 -1.459467 -4.57745837 1
+#> 6 1 -13.70 -1.85 -0.8578757 2.4653135 -14.557876 0.61531353 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3840 -36775 9425
+#> initial value 998.131940
+#> iter 2 value 822.508738
+#> iter 3 value 805.488640
+#> iter 4 value 804.125650
+#> iter 5 value 770.030996
+#> iter 6 value 763.411629
+#> iter 7 value 762.577162
+#> iter 8 value 762.553359
+#> iter 9 value 762.553183
+#> iter 9 value 762.553176
+#> iter 9 value 762.553176
+#> final value 762.553176
+#> converged
+#> This is Run number 86
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.9956252 -0.3322170 -3.304375 -2.0322170 2
+#> 2 1 -1.35 -13.20 -1.6464101 1.3298604 -2.996410 -11.8701396 1
+#> 3 1 -2.05 -14.20 0.2313329 -0.4247437 -1.818667 -14.6247437 1
+#> 4 1 -1.55 -3.10 0.4197475 -0.9196600 -1.130252 -4.0196600 1
+#> 5 1 -1.90 -3.60 -1.1005569 2.2736595 -3.000557 -1.3263405 2
+#> 6 1 -13.70 -1.85 -0.7427043 1.3754036 -14.442704 -0.4745964 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3440 -36575 9675
+#> initial value 998.131940
+#> iter 2 value 823.053754
+#> iter 3 value 804.530594
+#> iter 4 value 802.586717
+#> iter 5 value 767.613280
+#> iter 6 value 761.182563
+#> iter 7 value 760.381023
+#> iter 8 value 760.357870
+#> iter 9 value 760.357741
+#> iter 9 value 760.357735
+#> iter 9 value 760.357735
+#> final value 760.357735
+#> converged
+#> This is Run number 87
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.0486157 -0.1605494 -3.25138429 -1.860549 2
+#> 2 1 -1.35 -13.20 1.4265204 0.9808732 0.07652037 -12.219127 1
+#> 3 1 -2.05 -14.20 -0.1163858 2.1064494 -2.16638581 -12.093551 1
+#> 4 1 -1.55 -3.10 0.9244315 0.3901726 -0.62556848 -2.709827 1
+#> 5 1 -1.90 -3.60 -0.8740805 0.1878181 -2.77408054 -3.412182 1
+#> 6 1 -13.70 -1.85 2.2113112 -0.1236224 -11.48868876 -1.973622 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3760 -37600 10125
+#> initial value 998.131940
+#> iter 2 value 805.658686
+#> iter 3 value 786.148851
+#> iter 4 value 784.751519
+#> iter 5 value 752.558165
+#> iter 6 value 746.163937
+#> iter 7 value 745.458358
+#> iter 8 value 745.432085
+#> iter 9 value 745.431970
+#> iter 10 value 745.431899
+#> iter 10 value 745.431889
+#> iter 10 value 745.431889
+#> final value 745.431889
+#> converged
+#> This is Run number 88
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.0659667 0.91445986 -5.365967 -0.7855401 2
+#> 2 1 -1.35 -13.20 0.1265780 -1.01388720 -1.223422 -14.2138872 1
+#> 3 1 -2.05 -14.20 0.7624649 0.12550929 -1.287535 -14.0744907 1
+#> 4 1 -1.55 -3.10 -0.5626405 -0.48322232 -2.112641 -3.5832223 1
+#> 5 1 -1.90 -3.60 -0.1441639 -0.08388782 -2.044164 -3.6838878 1
+#> 6 1 -13.70 -1.85 0.4979436 -0.25933955 -13.202056 -2.1093396 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3340 -37675 11200
+#> initial value 998.131940
+#> iter 2 value 795.435545
+#> iter 3 value 771.533027
+#> iter 4 value 770.172661
+#> iter 5 value 738.511983
+#> iter 6 value 732.857052
+#> iter 7 value 732.272748
+#> iter 8 value 732.244240
+#> iter 9 value 732.244155
+#> iter 10 value 732.244008
+#> iter 11 value 732.243939
+#> iter 12 value 732.243878
+#> iter 12 value 732.243878
+#> iter 12 value 732.243878
+#> final value 732.243878
+#> converged
+#> This is Run number 89
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.05911316 0.7822313 -4.3591132 -0.9177687 2
+#> 2 1 -1.35 -13.20 0.67790854 0.9084010 -0.6720915 -12.2915990 1
+#> 3 1 -2.05 -14.20 0.24844580 1.6630864 -1.8015542 -12.5369136 1
+#> 4 1 -1.55 -3.10 2.25065254 1.5103896 0.7006525 -1.5896104 1
+#> 5 1 -1.90 -3.60 0.12443650 -0.1821530 -1.7755635 -3.7821530 1
+#> 6 1 -13.70 -1.85 0.83356556 0.4015417 -12.8664344 -1.4484583 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4180 -37575 8925
+#> initial value 998.131940
+#> iter 2 value 814.945793
+#> iter 3 value 799.645788
+#> iter 4 value 798.029395
+#> iter 5 value 765.198288
+#> iter 6 value 758.170369
+#> iter 7 value 757.207070
+#> iter 8 value 757.177437
+#> iter 9 value 757.177217
+#> iter 10 value 757.177198
+#> iter 11 value 757.177184
+#> iter 12 value 757.177167
+#> iter 12 value 757.177167
+#> iter 12 value 757.177167
+#> final value 757.177167
+#> converged
+#> This is Run number 90
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.07702465 -0.3787252 -4.2229753 -2.078725 2
+#> 2 1 -1.35 -13.20 -0.44297377 -0.1410382 -1.7929738 -13.341038 1
+#> 3 1 -2.05 -14.20 2.35965259 -1.3869459 0.3096526 -15.586946 1
+#> 4 1 -1.55 -3.10 1.27444313 0.6163459 -0.2755569 -2.483654 1
+#> 5 1 -1.90 -3.60 0.48614057 -0.4493496 -1.4138594 -4.049350 1
+#> 6 1 -13.70 -1.85 0.17456796 0.4175035 -13.5254320 -1.432497 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3900 -37725 9850
+#> initial value 998.131940
+#> iter 2 value 806.045254
+#> iter 3 value 787.596152
+#> iter 4 value 786.168491
+#> iter 5 value 754.110107
+#> iter 6 value 747.531529
+#> iter 7 value 746.779294
+#> iter 8 value 746.752215
+#> iter 9 value 746.752078
+#> iter 10 value 746.752026
+#> iter 11 value 746.751993
+#> iter 11 value 746.751990
+#> iter 11 value 746.751990
+#> final value 746.751990
+#> converged
+#> This is Run number 91
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.03767025 1.61127636 -4.262330 -0.08872364 2
+#> 2 1 -1.35 -13.20 2.47673809 -0.62670758 1.126738 -13.82670758 1
+#> 3 1 -2.05 -14.20 -0.21457008 0.07697631 -2.264570 -14.12302369 1
+#> 4 1 -1.55 -3.10 0.33980014 1.89867451 -1.210200 -1.20132549 2
+#> 5 1 -1.90 -3.60 -0.57732262 0.50117966 -2.477323 -3.09882034 1
+#> 6 1 -13.70 -1.85 3.34376622 0.22994632 -10.356234 -1.62005368 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2980 -37175 11275
+#> initial value 998.131940
+#> iter 2 value 801.463143
+#> iter 3 value 776.633913
+#> iter 4 value 774.744652
+#> iter 5 value 741.717004
+#> iter 6 value 736.196627
+#> iter 7 value 735.612550
+#> iter 8 value 735.585218
+#> iter 9 value 735.585155
+#> iter 10 value 735.585050
+#> iter 11 value 735.585006
+#> iter 12 value 735.584990
+#> iter 12 value 735.584990
+#> iter 12 value 735.584990
+#> final value 735.584990
+#> converged
+#> This is Run number 92
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.77303209 0.4127588 -2.5269679 -1.287241 2
+#> 2 1 -1.35 -13.20 1.01475369 -0.1496808 -0.3352463 -13.349681 1
+#> 3 1 -2.05 -14.20 -0.15735262 0.3493326 -2.2073526 -13.850667 1
+#> 4 1 -1.55 -3.10 0.03410139 -0.5183867 -1.5158986 -3.618387 1
+#> 5 1 -1.90 -3.60 -0.76812516 2.5304323 -2.6681252 -1.069568 2
+#> 6 1 -13.70 -1.85 3.69035574 -0.6221569 -10.0096443 -2.472157 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3700 -37500 9100
+#> initial value 998.131940
+#> iter 2 value 814.455819
+#> iter 3 value 797.661343
+#> iter 4 value 795.002548
+#> iter 5 value 760.996433
+#> iter 6 value 754.073500
+#> iter 7 value 753.121948
+#> iter 8 value 753.092666
+#> iter 9 value 753.092548
+#> iter 9 value 753.092544
+#> iter 9 value 753.092542
+#> final value 753.092542
+#> converged
+#> This is Run number 93
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.1328549 0.8588373 -3.1671451 -0.8411627 2
+#> 2 1 -1.35 -13.20 1.8733558 2.6725177 0.5233558 -10.5274823 1
+#> 3 1 -2.05 -14.20 0.2451148 1.8923174 -1.8048852 -12.3076826 1
+#> 4 1 -1.55 -3.10 2.4706231 -1.0802855 0.9206231 -4.1802855 1
+#> 5 1 -1.90 -3.60 -1.0919508 1.0191154 -2.9919508 -2.5808846 2
+#> 6 1 -13.70 -1.85 0.9074224 -0.5797329 -12.7925776 -2.4297329 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3340 -36275 9525
+#> initial value 998.131940
+#> iter 2 value 828.062488
+#> iter 3 value 809.846299
+#> iter 4 value 807.738022
+#> iter 5 value 771.857602
+#> iter 6 value 765.428470
+#> iter 7 value 764.595004
+#> iter 8 value 764.572557
+#> iter 9 value 764.572434
+#> iter 9 value 764.572424
+#> iter 9 value 764.572420
+#> final value 764.572420
+#> converged
+#> This is Run number 94
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.22870720 0.3151360 -3.071293 -1.384864 2
+#> 2 1 -1.35 -13.20 -1.37745156 2.4702617 -2.727452 -10.729738 1
+#> 3 1 -2.05 -14.20 0.04418381 -1.7355596 -2.005816 -15.935560 1
+#> 4 1 -1.55 -3.10 2.80633831 0.7189246 1.256338 -2.381075 1
+#> 5 1 -1.90 -3.60 -0.36982459 -0.9360951 -2.269825 -4.536095 1
+#> 6 1 -13.70 -1.85 1.96021036 0.7353112 -11.739790 -1.114689 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2800 -36375 11125
+#> initial value 998.131940
+#> iter 2 value 813.501683
+#> iter 3 value 789.066256
+#> iter 4 value 787.141709
+#> iter 5 value 752.644765
+#> iter 6 value 747.140628
+#> iter 7 value 746.566225
+#> iter 8 value 746.543985
+#> iter 9 value 746.543927
+#> iter 10 value 746.543862
+#> iter 10 value 746.543862
+#> iter 10 value 746.543862
+#> final value 746.543862
+#> converged
+#> This is Run number 95
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.4000612 -0.27976820 -3.8999388 -1.9797682 2
+#> 2 1 -1.35 -13.20 0.1225200 0.08329398 -1.2274800 -13.1167060 1
+#> 3 1 -2.05 -14.20 1.7679732 -0.92025525 -0.2820268 -15.1202552 1
+#> 4 1 -1.55 -3.10 -0.3985476 -0.93006033 -1.9485476 -4.0300603 1
+#> 5 1 -1.90 -3.60 4.1058816 0.54258070 2.2058816 -3.0574193 1
+#> 6 1 -13.70 -1.85 1.6670153 1.26940852 -12.0329847 -0.5805915 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3460 -36675 9400
+#> initial value 998.131940
+#> iter 2 value 823.678062
+#> iter 3 value 805.906138
+#> iter 4 value 803.648213
+#> iter 5 value 768.362788
+#> iter 6 value 761.769356
+#> iter 7 value 760.897152
+#> iter 8 value 760.872535
+#> iter 9 value 760.872407
+#> iter 9 value 760.872399
+#> iter 9 value 760.872395
+#> final value 760.872395
+#> converged
+#> This is Run number 96
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.1779113 1.196211 -4.4779113 -0.5037890 2
+#> 2 1 -1.35 -13.20 -0.4286503 1.684837 -1.7786503 -11.5151628 1
+#> 3 1 -2.05 -14.20 0.8330403 1.329838 -1.2169597 -12.8701624 1
+#> 4 1 -1.55 -3.10 1.1293468 -0.498274 -0.4206532 -3.5982740 1
+#> 5 1 -1.90 -3.60 0.5987212 4.085377 -1.3012788 0.4853774 2
+#> 6 1 -13.70 -1.85 -0.6909367 2.037133 -14.3909367 0.1871335 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -37425 8800
+#> initial value 998.131940
+#> iter 2 value 818.073424
+#> iter 3 value 803.845669
+#> iter 4 value 803.028064
+#> iter 5 value 770.461469
+#> iter 6 value 763.398504
+#> iter 7 value 762.431160
+#> iter 8 value 762.402497
+#> iter 9 value 762.402238
+#> iter 10 value 762.402202
+#> iter 11 value 762.402160
+#> iter 12 value 762.402125
+#> iter 12 value 762.402125
+#> iter 12 value 762.402125
+#> final value 762.402125
+#> converged
+#> This is Run number 97
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.24685162 2.30338301 -5.54685162 0.6033830 2
+#> 2 1 -1.35 -13.20 0.36743835 1.49361635 -0.98256165 -11.7063837 1
+#> 3 1 -2.05 -14.20 1.63744097 0.61666060 -0.41255903 -13.5833394 1
+#> 4 1 -1.55 -3.10 1.63828598 3.64027477 0.08828598 0.5402748 2
+#> 5 1 -1.90 -3.60 1.65801862 -0.03194672 -0.24198138 -3.6319467 1
+#> 6 1 -13.70 -1.85 0.01710702 0.06704167 -13.68289298 -1.7829583 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3260 -36750 9125
+#> initial value 998.131940
+#> iter 2 value 824.294082
+#> iter 3 value 806.688209
+#> iter 4 value 803.607178
+#> iter 5 value 767.055702
+#> iter 6 value 760.293085
+#> iter 7 value 759.338862
+#> iter 8 value 759.313150
+#> iter 9 value 759.313082
+#> iter 9 value 759.313080
+#> iter 9 value 759.313079
+#> final value 759.313079
+#> converged
+#> This is Run number 98
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.6083014 -0.9538347 -2.6916986 -2.6538347 2
+#> 2 1 -1.35 -13.20 1.4011501 1.2522886 0.0511501 -11.9477114 1
+#> 3 1 -2.05 -14.20 1.1297231 0.7488819 -0.9202769 -13.4511181 1
+#> 4 1 -1.55 -3.10 -1.6080441 0.3031029 -3.1580441 -2.7968971 2
+#> 5 1 -1.90 -3.60 -1.2704653 -0.8999923 -3.1704653 -4.4999923 1
+#> 6 1 -13.70 -1.85 0.6285322 2.5278776 -13.0714678 0.6778776 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4240 -38400 9000
+#> initial value 998.131940
+#> iter 2 value 802.343878
+#> iter 3 value 786.652024
+#> iter 4 value 784.626275
+#> iter 5 value 753.369730
+#> iter 6 value 746.251053
+#> iter 7 value 745.315747
+#> iter 8 value 745.282801
+#> iter 9 value 745.282629
+#> iter 9 value 745.282625
+#> iter 9 value 745.282625
+#> final value 745.282625
+#> converged
+#> This is Run number 99
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2731929 1.4727437 -4.573193 -0.2272563 2
+#> 2 1 -1.35 -13.20 3.7235485 -0.1056002 2.373549 -13.3056002 1
+#> 3 1 -2.05 -14.20 -0.7599610 -0.1030752 -2.809961 -14.3030752 1
+#> 4 1 -1.55 -3.10 6.0764949 2.0091789 4.526495 -1.0908211 1
+#> 5 1 -1.90 -3.60 -0.1508503 0.5300442 -2.050850 -3.0699558 1
+#> 6 1 -13.70 -1.85 -0.2331075 -0.2277064 -13.933108 -2.0777064 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3420 -35525 10625
+#> initial value 998.131940
+#> iter 2 value 829.629276
+#> iter 3 value 808.589625
+#> iter 4 value 808.052405
+#> iter 5 value 773.513960
+#> iter 6 value 767.804074
+#> iter 7 value 767.262143
+#> iter 8 value 767.248159
+#> iter 9 value 767.248084
+#> iter 10 value 767.248001
+#> iter 11 value 767.247952
+#> iter 11 value 767.247946
+#> iter 11 value 767.247946
+#> final value 767.247946
+#> converged
+#> This is Run number 100
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.0202482759 -0.51444124 -4.2797517 -2.214441 2
+#> 2 1 -1.35 -13.20 0.8459905521 3.43849160 -0.5040094 -9.761508 1
+#> 3 1 -2.05 -14.20 0.0661488001 -0.02579938 -1.9838512 -14.225799 1
+#> 4 1 -1.55 -3.10 -0.4811870615 -0.55274542 -2.0311871 -3.652745 1
+#> 5 1 -1.90 -3.60 0.0008644966 -0.49142378 -1.8991355 -4.091424 1
+#> 6 1 -13.70 -1.85 0.3824722638 7.60495726 -13.3175277 5.754957 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4020 -37175 8700
+#> initial value 998.131940
+#> iter 2 value 822.012908
+#> iter 3 value 807.089267
+#> iter 4 value 805.128915
+#> iter 5 value 770.987354
+#> iter 6 value 763.952371
+#> iter 7 value 762.912833
+#> iter 8 value 762.883202
+#> iter 9 value 762.883002
+#> iter 10 value 762.882988
+#> iter 10 value 762.882983
+#> iter 10 value 762.882978
+#> final value 762.882978
+#> converged
+#> This is Run number 101
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.79679837 -0.3305181 -5.096798 -2.030518 2
+#> 2 1 -1.35 -13.20 -0.12919631 0.2058828 -1.479196 -12.994117 1
+#> 3 1 -2.05 -14.20 0.14333261 0.4585691 -1.906667 -13.741431 1
+#> 4 1 -1.55 -3.10 1.78091203 -1.1119879 0.230912 -4.211988 1
+#> 5 1 -1.90 -3.60 0.60010071 1.0770613 -1.299899 -2.522939 1
+#> 6 1 -13.70 -1.85 -0.03503953 1.3834190 -13.735040 -0.466581 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3960 -37150 10025
+#> initial value 998.131940
+#> iter 2 value 812.982851
+#> iter 3 value 794.352459
+#> iter 4 value 793.582780
+#> iter 5 value 761.050170
+#> iter 6 value 754.633023
+#> iter 7 value 753.949246
+#> iter 8 value 753.927132
+#> iter 9 value 753.926996
+#> iter 10 value 753.926913
+#> iter 11 value 753.926854
+#> iter 11 value 753.926851
+#> iter 11 value 753.926851
+#> final value 753.926851
+#> converged
+#> This is Run number 102
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.0094899 0.1670795 -1.2905101 -1.5329205 1
+#> 2 1 -1.35 -13.20 -0.2772743 -0.8553103 -1.6272743 -14.0553103 1
+#> 3 1 -2.05 -14.20 0.1932579 2.0982130 -1.8567421 -12.1017870 1
+#> 4 1 -1.55 -3.10 0.5314749 -0.2338824 -1.0185251 -3.3338824 1
+#> 5 1 -1.90 -3.60 1.4380508 3.1661229 -0.4619492 -0.4338771 2
+#> 6 1 -13.70 -1.85 -0.3240042 -0.5331376 -14.0240042 -2.3831376 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -37875 9000
+#> initial value 998.131940
+#> iter 2 value 810.279279
+#> iter 3 value 795.905547
+#> iter 4 value 795.552546
+#> iter 5 value 764.383652
+#> iter 6 value 757.282252
+#> iter 7 value 756.417716
+#> iter 8 value 756.390819
+#> iter 9 value 756.390572
+#> iter 10 value 756.390552
+#> iter 11 value 756.390480
+#> iter 12 value 756.390402
+#> iter 12 value 756.390402
+#> iter 12 value 756.390402
+#> final value 756.390402
+#> converged
+#> This is Run number 103
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.4543297 -0.3371792 -3.84567034 -2.0371792 2
+#> 2 1 -1.35 -13.20 2.4666879 -0.9743404 1.11668790 -14.1743404 1
+#> 3 1 -2.05 -14.20 0.5033580 0.6527961 -1.54664198 -13.5472039 1
+#> 4 1 -1.55 -3.10 4.0513437 -0.4494784 2.50134367 -3.5494784 1
+#> 5 1 -1.90 -3.60 1.8207514 0.5251603 -0.07924858 -3.0748397 1
+#> 6 1 -13.70 -1.85 -0.7266075 1.3405695 -14.42660753 -0.5094305 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3260 -36550 9375
+#> initial value 998.131940
+#> iter 2 value 825.306412
+#> iter 3 value 807.162131
+#> iter 4 value 804.479974
+#> iter 5 value 768.295845
+#> iter 6 value 761.718590
+#> iter 7 value 760.830100
+#> iter 8 value 760.805715
+#> iter 9 value 760.805620
+#> iter 9 value 760.805616
+#> iter 9 value 760.805614
+#> final value 760.805614
+#> converged
+#> This is Run number 104
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.7235872 0.32353052 -5.0235872 -1.376469 2
+#> 2 1 -1.35 -13.20 0.3105102 0.04119523 -1.0394898 -13.158805 1
+#> 3 1 -2.05 -14.20 3.2758310 0.01598781 1.2258310 -14.184012 1
+#> 4 1 -1.55 -3.10 0.8170753 0.97142781 -0.7329247 -2.128572 1
+#> 5 1 -1.90 -3.60 -0.5043751 -0.89862662 -2.4043751 -4.498627 1
+#> 6 1 -13.70 -1.85 -0.4633795 0.57576012 -14.1633795 -1.274240 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3140 -37300 10100
+#> initial value 998.131940
+#> iter 2 value 809.415547
+#> iter 3 value 788.604168
+#> iter 4 value 785.661840
+#> iter 5 value 751.236208
+#> iter 6 value 744.936701
+#> iter 7 value 744.162026
+#> iter 8 value 744.133384
+#> iter 9 value 744.133331
+#> iter 9 value 744.133323
+#> iter 9 value 744.133319
+#> final value 744.133319
+#> converged
+#> This is Run number 105
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.8062978 0.3964914 -2.49370224 -1.303509 2
+#> 2 1 -1.35 -13.20 -0.4461023 -0.2911887 -1.79610225 -13.491189 1
+#> 3 1 -2.05 -14.20 1.5341356 3.5501900 -0.51586441 -10.649810 1
+#> 4 1 -1.55 -3.10 1.5997941 1.5644012 0.04979406 -1.535599 1
+#> 5 1 -1.90 -3.60 -1.8419757 -0.6006330 -3.74197571 -4.200633 1
+#> 6 1 -13.70 -1.85 1.5887604 0.7771503 -12.11123963 -1.072850 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2780 -36925 12150
+#> initial value 998.131940
+#> iter 2 value 796.865711
+#> iter 3 value 768.527422
+#> iter 4 value 767.241501
+#> iter 5 value 734.867418
+#> iter 6 value 730.002053
+#> iter 7 value 729.510905
+#> iter 8 value 729.484980
+#> iter 9 value 729.484792
+#> iter 10 value 729.484715
+#> iter 11 value 729.484670
+#> iter 12 value 729.484586
+#> iter 12 value 729.484586
+#> iter 12 value 729.484586
+#> final value 729.484586
+#> converged
+#> This is Run number 106
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.03416017 -0.07068438 -4.265840 -1.770684 2
+#> 2 1 -1.35 -13.20 -0.41787955 0.07340962 -1.767880 -13.126590 1
+#> 3 1 -2.05 -14.20 0.85041145 1.28971893 -1.199589 -12.910281 1
+#> 4 1 -1.55 -3.10 -0.41014449 1.42545306 -1.960144 -1.674547 2
+#> 5 1 -1.90 -3.60 0.02931122 1.39018187 -1.870689 -2.209818 1
+#> 6 1 -13.70 -1.85 -0.34608511 0.13042000 -14.046085 -1.719580 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3420 -38150 9600
+#> initial value 998.131940
+#> iter 2 value 801.136150
+#> iter 3 value 782.020998
+#> iter 4 value 778.463446
+#> iter 5 value 745.119577
+#> iter 6 value 738.418916
+#> iter 7 value 737.537502
+#> iter 8 value 737.503129
+#> iter 9 value 737.503104
+#> iter 9 value 737.503102
+#> iter 9 value 737.503102
+#> final value 737.503102
+#> converged
+#> This is Run number 107
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3782793 0.14999452 -4.6782793 -1.5500055 2
+#> 2 1 -1.35 -13.20 0.5049635 -0.30883437 -0.8450365 -13.5088344 1
+#> 3 1 -2.05 -14.20 0.3211686 0.02983778 -1.7288314 -14.1701622 1
+#> 4 1 -1.55 -3.10 -0.6695333 2.57322450 -2.2195333 -0.5267755 2
+#> 5 1 -1.90 -3.60 -0.3611917 5.08741416 -2.2611917 1.4874142 2
+#> 6 1 -13.70 -1.85 -0.6191117 -0.15027472 -14.3191117 -2.0002747 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4160 -36625 8575
+#> initial value 998.131940
+#> iter 2 value 830.522247
+#> iter 3 value 816.414969
+#> iter 4 value 815.061559
+#> iter 5 value 780.246988
+#> iter 6 value 773.320514
+#> iter 7 value 772.257233
+#> iter 8 value 772.228725
+#> iter 9 value 772.228504
+#> iter 10 value 772.228481
+#> iter 11 value 772.228461
+#> iter 12 value 772.228443
+#> iter 12 value 772.228443
+#> iter 12 value 772.228443
+#> final value 772.228443
+#> converged
+#> This is Run number 108
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.1207366 2.6086464 -4.4207366 0.9086464 2
+#> 2 1 -1.35 -13.20 -1.3910348 -0.5701621 -2.7410348 -13.7701621 1
+#> 3 1 -2.05 -14.20 1.2853066 -0.7537960 -0.7646934 -14.9537960 1
+#> 4 1 -1.55 -3.10 1.9324587 0.8133467 0.3824587 -2.2866533 1
+#> 5 1 -1.90 -3.60 0.3384024 1.9125771 -1.5615976 -1.6874229 1
+#> 6 1 -13.70 -1.85 0.8713042 1.6250914 -12.8286958 -0.2249086 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4140 -37675 9775
+#> initial value 998.131940
+#> iter 2 value 807.487788
+#> iter 3 value 789.769824
+#> iter 4 value 788.865357
+#> iter 5 value 757.121217
+#> iter 6 value 750.478281
+#> iter 7 value 749.740899
+#> iter 8 value 749.715566
+#> iter 9 value 749.715407
+#> iter 10 value 749.715336
+#> iter 11 value 749.715279
+#> iter 11 value 749.715276
+#> iter 11 value 749.715276
+#> final value 749.715276
+#> converged
+#> This is Run number 109
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 5.6043102 0.31911053 1.304310 -1.380889 1
+#> 2 1 -1.35 -13.20 0.6959670 1.53992317 -0.654033 -11.660077 1
+#> 3 1 -2.05 -14.20 0.7962013 3.96725473 -1.253799 -10.232745 1
+#> 4 1 -1.55 -3.10 0.1600130 0.71963357 -1.389987 -2.380366 1
+#> 5 1 -1.90 -3.60 -0.8381133 0.97268784 -2.738113 -2.627312 2
+#> 6 1 -13.70 -1.85 1.7229619 0.02664864 -11.977038 -1.823351 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -37275 8400
+#> initial value 998.131940
+#> iter 2 value 822.777985
+#> iter 3 value 809.551230
+#> iter 4 value 808.411821
+#> iter 5 value 775.120926
+#> iter 6 value 767.959781
+#> iter 7 value 766.849845
+#> iter 8 value 766.817545
+#> iter 9 value 766.817271
+#> iter 10 value 766.817242
+#> iter 11 value 766.817216
+#> iter 12 value 766.817191
+#> iter 12 value 766.817191
+#> iter 12 value 766.817191
+#> final value 766.817191
+#> converged
+#> This is Run number 110
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.4533817 4.8579382 -4.753382 3.1579382 2
+#> 2 1 -1.35 -13.20 0.2191321 0.1502756 -1.130868 -13.0497244 1
+#> 3 1 -2.05 -14.20 0.3975937 -0.6543570 -1.652406 -14.8543570 1
+#> 4 1 -1.55 -3.10 -0.1839718 0.5553151 -1.733972 -2.5446849 1
+#> 5 1 -1.90 -3.60 0.1282435 -0.1046646 -1.771756 -3.7046646 1
+#> 6 1 -13.70 -1.85 1.8252673 2.0243499 -11.874733 0.1743499 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -36325 9300
+#> initial value 998.131940
+#> iter 2 value 829.638901
+#> iter 3 value 813.526455
+#> iter 4 value 812.735273
+#> iter 5 value 778.239119
+#> iter 6 value 771.666469
+#> iter 7 value 770.834420
+#> iter 8 value 770.812961
+#> iter 9 value 770.812783
+#> iter 9 value 770.812779
+#> iter 9 value 770.812779
+#> final value 770.812779
+#> converged
+#> This is Run number 111
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.68948187 0.7423855 -4.9894819 -0.9576145 2
+#> 2 1 -1.35 -13.20 1.08399754 -0.3087154 -0.2660025 -13.5087154 1
+#> 3 1 -2.05 -14.20 3.42355560 -0.7060914 1.3735556 -14.9060914 1
+#> 4 1 -1.55 -3.10 0.04745525 2.4234988 -1.5025448 -0.6765012 2
+#> 5 1 -1.90 -3.60 0.26440953 -0.8063989 -1.6355905 -4.4063989 1
+#> 6 1 -13.70 -1.85 0.94626255 -0.2374354 -12.7537375 -2.0874354 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3960 -36300 8600
+#> initial value 998.131940
+#> iter 2 value 834.614572
+#> iter 3 value 820.163648
+#> iter 4 value 818.608777
+#> iter 5 value 782.909274
+#> iter 6 value 776.083697
+#> iter 7 value 775.027958
+#> iter 8 value 775.000874
+#> iter 9 value 775.000680
+#> iter 10 value 775.000662
+#> iter 11 value 775.000648
+#> iter 12 value 775.000635
+#> iter 12 value 775.000635
+#> iter 12 value 775.000635
+#> final value 775.000635
+#> converged
+#> This is Run number 112
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.4610066 -0.9952982 -3.838993 -2.695298 2
+#> 2 1 -1.35 -13.20 4.4131350 2.2909642 3.063135 -10.909036 1
+#> 3 1 -2.05 -14.20 0.3573669 -0.6151567 -1.692633 -14.815157 1
+#> 4 1 -1.55 -3.10 -0.1430535 -0.6636402 -1.693053 -3.763640 1
+#> 5 1 -1.90 -3.60 -0.2154042 1.1082770 -2.115404 -2.491723 1
+#> 6 1 -13.70 -1.85 0.8455314 0.0779099 -12.854469 -1.772090 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -36975 9400
+#> initial value 998.131940
+#> iter 2 value 820.281956
+#> iter 3 value 804.662099
+#> iter 4 value 804.498386
+#> iter 5 value 771.890225
+#> iter 6 value 765.143362
+#> iter 7 value 764.385767
+#> iter 8 value 764.365307
+#> iter 9 value 764.365138
+#> iter 10 value 764.365114
+#> iter 11 value 764.365031
+#> iter 12 value 764.364957
+#> iter 12 value 764.364957
+#> iter 12 value 764.364957
+#> final value 764.364957
+#> converged
+#> This is Run number 113
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.4258670 -0.3804583 -4.725867 -2.080458 2
+#> 2 1 -1.35 -13.20 -0.7803972 0.8819973 -2.130397 -12.318003 1
+#> 3 1 -2.05 -14.20 -0.1684043 0.2587996 -2.218404 -13.941200 1
+#> 4 1 -1.55 -3.10 0.1499839 0.8530038 -1.400016 -2.246996 1
+#> 5 1 -1.90 -3.60 0.8637982 0.9848530 -1.036202 -2.615147 1
+#> 6 1 -13.70 -1.85 0.6396545 0.1019730 -13.060346 -1.748027 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4000 -37600 9775
+#> initial value 998.131940
+#> iter 2 value 808.482410
+#> iter 3 value 790.507388
+#> iter 4 value 789.332133
+#> iter 5 value 757.209359
+#> iter 6 value 750.593527
+#> iter 7 value 749.840585
+#> iter 8 value 749.814739
+#> iter 9 value 749.814585
+#> iter 10 value 749.814531
+#> iter 11 value 749.814485
+#> iter 11 value 749.814483
+#> iter 11 value 749.814483
+#> final value 749.814483
+#> converged
+#> This is Run number 114
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.1775681 -1.2338758 -3.122432 -2.933876 2
+#> 2 1 -1.35 -13.20 4.3309259 -1.2384082 2.980926 -14.438408 1
+#> 3 1 -2.05 -14.20 -0.1140705 0.4998849 -2.164070 -13.700115 1
+#> 4 1 -1.55 -3.10 3.9556908 -0.5712152 2.405691 -3.671215 1
+#> 5 1 -1.90 -3.60 -0.5638071 1.5735368 -2.463807 -2.026463 2
+#> 6 1 -13.70 -1.85 -0.1304986 3.5758906 -13.830499 1.725891 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4160 -37550 8175
+#> initial value 998.131940
+#> iter 2 value 820.085571
+#> iter 3 value 806.522302
+#> iter 4 value 804.067082
+#> iter 5 value 770.075394
+#> iter 6 value 762.729123
+#> iter 7 value 761.541440
+#> iter 8 value 761.507627
+#> iter 9 value 761.507444
+#> iter 9 value 761.507436
+#> iter 9 value 761.507432
+#> final value 761.507432
+#> converged
+#> This is Run number 115
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.7613554 0.62854458 -5.0613554 -1.071455 2
+#> 2 1 -1.35 -13.20 -1.0210270 1.01514980 -2.3710270 -12.184850 1
+#> 3 1 -2.05 -14.20 -0.2932160 0.28544128 -2.3432160 -13.914559 1
+#> 4 1 -1.55 -3.10 0.8818511 -0.18257794 -0.6681489 -3.282578 1
+#> 5 1 -1.90 -3.60 0.2555133 -0.08382406 -1.6444867 -3.683824 1
+#> 6 1 -13.70 -1.85 -0.3135815 -0.02595110 -14.0135815 -1.875951 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2680 -35400 9975
+#> initial value 998.131940
+#> iter 2 value 835.207322
+#> iter 3 value 814.469187
+#> iter 4 value 811.932058
+#> iter 5 value 773.831154
+#> iter 6 value 767.882492
+#> iter 7 value 767.147568
+#> iter 8 value 767.129044
+#> iter 9 value 767.128978
+#> iter 9 value 767.128974
+#> iter 9 value 767.128972
+#> final value 767.128972
+#> converged
+#> This is Run number 116
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.9414030 2.2082578 -5.241403 0.5082578 2
+#> 2 1 -1.35 -13.20 -0.9460581 -0.5156047 -2.296058 -13.7156047 1
+#> 3 1 -2.05 -14.20 -0.2164525 -0.7786590 -2.266453 -14.9786590 1
+#> 4 1 -1.55 -3.10 -0.1419503 0.7988204 -1.691950 -2.3011796 1
+#> 5 1 -1.90 -3.60 -0.3155997 0.5185360 -2.215600 -3.0814640 1
+#> 6 1 -13.70 -1.85 -0.3801262 0.4713324 -14.080126 -1.3786676 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3400 -37500 10075
+#> initial value 998.131940
+#> iter 2 value 807.097819
+#> iter 3 value 786.932600
+#> iter 4 value 784.551888
+#> iter 5 value 751.199324
+#> iter 6 value 744.833503
+#> iter 7 value 744.076072
+#> iter 8 value 744.047685
+#> iter 9 value 744.047605
+#> iter 10 value 744.047582
+#> iter 10 value 744.047581
+#> iter 10 value 744.047581
+#> final value 744.047581
+#> converged
+#> This is Run number 117
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3599294 0.3072688 -4.659929 -1.392731 2
+#> 2 1 -1.35 -13.20 -0.7407248 -1.3910520 -2.090725 -14.591052 1
+#> 3 1 -2.05 -14.20 0.6091768 -0.5386860 -1.440823 -14.738686 1
+#> 4 1 -1.55 -3.10 0.1938947 1.8976991 -1.356105 -1.202301 2
+#> 5 1 -1.90 -3.60 0.4096292 -0.2258097 -1.490371 -3.825810 1
+#> 6 1 -13.70 -1.85 2.5907023 -0.8466524 -11.109298 -2.696652 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3240 -37125 9850
+#> initial value 998.131940
+#> iter 2 value 813.904703
+#> iter 3 value 794.146909
+#> iter 4 value 791.376923
+#> iter 5 value 756.667203
+#> iter 6 value 750.235972
+#> iter 7 value 749.429110
+#> iter 8 value 749.402104
+#> iter 9 value 749.402031
+#> iter 9 value 749.402027
+#> iter 9 value 749.402027
+#> final value 749.402027
+#> converged
+#> This is Run number 118
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.7851639 -0.8148084 -5.085164 -2.514808 2
+#> 2 1 -1.35 -13.20 -0.7342475 1.6341378 -2.084248 -11.565862 1
+#> 3 1 -2.05 -14.20 0.1756557 -0.4083313 -1.874344 -14.608331 1
+#> 4 1 -1.55 -3.10 -0.8394415 1.6268952 -2.389441 -1.473105 2
+#> 5 1 -1.90 -3.60 0.7637515 -0.9228696 -1.136249 -4.522870 1
+#> 6 1 -13.70 -1.85 0.6714249 3.2387025 -13.028575 1.388702 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3600 -37650 10175
+#> initial value 998.131940
+#> iter 2 value 804.398489
+#> iter 3 value 784.357553
+#> iter 4 value 782.550446
+#> iter 5 value 750.102328
+#> iter 6 value 743.754438
+#> iter 7 value 743.036195
+#> iter 8 value 743.008404
+#> iter 9 value 743.008307
+#> iter 10 value 743.008253
+#> iter 10 value 743.008250
+#> iter 10 value 743.008242
+#> final value 743.008242
+#> converged
+#> This is Run number 119
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.7851529 -0.3318614 -3.514847 -2.0318614 2
+#> 2 1 -1.35 -13.20 -0.1984820 0.6182880 -1.548482 -12.5817120 1
+#> 3 1 -2.05 -14.20 -0.9917933 2.1546514 -3.041793 -12.0453486 1
+#> 4 1 -1.55 -3.10 0.4079425 2.7226101 -1.142057 -0.3773899 2
+#> 5 1 -1.90 -3.60 -0.6833507 2.0459343 -2.583351 -1.5540657 2
+#> 6 1 -13.70 -1.85 0.4690580 0.2136791 -13.230942 -1.6363209 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3060 -37450 10475
+#> initial value 998.131940
+#> iter 2 value 804.250959
+#> iter 3 value 782.052569
+#> iter 4 value 779.174844
+#> iter 5 value 745.299149
+#> iter 6 value 739.226288
+#> iter 7 value 738.505411
+#> iter 8 value 738.475186
+#> iter 9 value 738.475140
+#> iter 10 value 738.475118
+#> iter 10 value 738.475109
+#> iter 10 value 738.475109
+#> final value 738.475109
+#> converged
+#> This is Run number 120
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.4488488 -0.5735838 -2.851151 -2.2735838 2
+#> 2 1 -1.35 -13.20 1.7928920 -0.9582536 0.442892 -14.1582536 1
+#> 3 1 -2.05 -14.20 0.9722899 2.6751788 -1.077710 -11.5248212 1
+#> 4 1 -1.55 -3.10 -0.1982997 0.4613534 -1.748300 -2.6386466 1
+#> 5 1 -1.90 -3.60 -1.2419426 0.7656429 -3.141943 -2.8343571 2
+#> 6 1 -13.70 -1.85 -0.4852802 2.5900449 -14.185280 0.7400449 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3620 -36200 9025
+#> initial value 998.131940
+#> iter 2 value 832.851229
+#> iter 3 value 816.641541
+#> iter 4 value 814.781778
+#> iter 5 value 778.755988
+#> iter 6 value 772.117427
+#> iter 7 value 771.175286
+#> iter 8 value 771.151340
+#> iter 9 value 771.151184
+#> iter 10 value 771.151171
+#> iter 10 value 771.151163
+#> iter 10 value 771.151159
+#> final value 771.151159
+#> converged
+#> This is Run number 121
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2274485 0.4604212 -4.5274485 -1.2395788 2
+#> 2 1 -1.35 -13.20 0.8528264 -0.3188702 -0.4971736 -13.5188702 1
+#> 3 1 -2.05 -14.20 -0.5250508 0.1191872 -2.5750508 -14.0808128 1
+#> 4 1 -1.55 -3.10 0.6204561 2.4375192 -0.9295439 -0.6624808 2
+#> 5 1 -1.90 -3.60 1.0356492 2.2304474 -0.8643508 -1.3695526 1
+#> 6 1 -13.70 -1.85 2.7731812 0.2546138 -10.9268188 -1.5953862 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -36100 7700
+#> initial value 998.131940
+#> iter 2 value 842.992051
+#> iter 3 value 831.619348
+#> iter 4 value 830.410530
+#> iter 5 value 794.156042
+#> iter 6 value 787.164797
+#> iter 7 value 785.814077
+#> iter 8 value 785.778646
+#> iter 9 value 785.778403
+#> iter 9 value 785.778397
+#> iter 9 value 785.778397
+#> final value 785.778397
+#> converged
+#> This is Run number 122
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.1332335 -0.48636879 -4.1667665 -2.186369 2
+#> 2 1 -1.35 -13.20 1.5256529 -0.05772778 0.1756529 -13.257728 1
+#> 3 1 -2.05 -14.20 0.9018603 -1.19489177 -1.1481397 -15.394892 1
+#> 4 1 -1.55 -3.10 -0.1625421 2.05706569 -1.7125421 -1.042934 2
+#> 5 1 -1.90 -3.60 1.4201339 0.52827307 -0.4798661 -3.071727 1
+#> 6 1 -13.70 -1.85 -0.4927024 -0.59082749 -14.1927024 -2.440827 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3560 -37000 10225
+#> initial value 998.131940
+#> iter 2 value 813.206108
+#> iter 3 value 793.186789
+#> iter 4 value 791.809041
+#> iter 5 value 758.523356
+#> iter 6 value 752.288999
+#> iter 7 value 751.606486
+#> iter 8 value 751.583337
+#> iter 9 value 751.583225
+#> iter 10 value 751.583166
+#> iter 11 value 751.583136
+#> iter 11 value 751.583130
+#> iter 11 value 751.583130
+#> final value 751.583130
+#> converged
+#> This is Run number 123
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.05156922 -0.7346934 -4.2484308 -2.434693 2
+#> 2 1 -1.35 -13.20 0.85406425 1.6521958 -0.4959357 -11.547804 1
+#> 3 1 -2.05 -14.20 0.82255863 0.2304833 -1.2274414 -13.969517 1
+#> 4 1 -1.55 -3.10 -0.77975829 -1.2147762 -2.3297583 -4.314776 1
+#> 5 1 -1.90 -3.60 0.79666565 0.8414129 -1.1033343 -2.758587 1
+#> 6 1 -13.70 -1.85 -0.10868914 3.3723032 -13.8086891 1.522303 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3680 -36825 9075
+#> initial value 998.131940
+#> iter 2 value 824.102121
+#> iter 3 value 807.629925
+#> iter 4 value 805.477044
+#> iter 5 value 770.488186
+#> iter 6 value 763.700137
+#> iter 7 value 762.754244
+#> iter 8 value 762.727959
+#> iter 9 value 762.727804
+#> iter 9 value 762.727794
+#> iter 9 value 762.727789
+#> final value 762.727789
+#> converged
+#> This is Run number 124
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.1932372 -1.8208992 -5.493237 -3.520899 2
+#> 2 1 -1.35 -13.20 -0.7041835 -0.8238112 -2.054184 -14.023811 1
+#> 3 1 -2.05 -14.20 -0.8477195 0.1575259 -2.897719 -14.042474 1
+#> 4 1 -1.55 -3.10 -0.5442904 0.7606963 -2.094290 -2.339304 1
+#> 5 1 -1.90 -3.60 0.7019333 -0.6192146 -1.198067 -4.219215 1
+#> 6 1 -13.70 -1.85 2.0641656 -0.4421758 -11.635834 -2.292176 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3960 -37650 9750
+#> initial value 998.131940
+#> iter 2 value 807.917216
+#> iter 3 value 789.910926
+#> iter 4 value 788.579119
+#> iter 5 value 756.416685
+#> iter 6 value 749.786331
+#> iter 7 value 749.020826
+#> iter 8 value 748.994268
+#> iter 9 value 748.994116
+#> iter 10 value 748.994069
+#> iter 11 value 748.994030
+#> iter 11 value 748.994028
+#> iter 11 value 748.994028
+#> final value 748.994028
+#> converged
+#> This is Run number 125
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.5256338 -0.2491366 -1.7743662 -1.949137 1
+#> 2 1 -1.35 -13.20 -0.1576947 -0.5885727 -1.5076947 -13.788573 1
+#> 3 1 -2.05 -14.20 0.3207808 1.5135140 -1.7292192 -12.686486 1
+#> 4 1 -1.55 -3.10 2.0276993 -0.7902918 0.4776993 -3.890292 1
+#> 5 1 -1.90 -3.60 1.4833894 2.4616829 -0.4166106 -1.138317 1
+#> 6 1 -13.70 -1.85 1.8924771 0.1159700 -11.8075229 -1.734030 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3220 -35000 9875
+#> initial value 998.131940
+#> iter 2 value 841.804831
+#> iter 3 value 822.864318
+#> iter 4 value 821.677898
+#> iter 5 value 784.903674
+#> iter 6 value 779.015469
+#> iter 7 value 778.331829
+#> iter 8 value 778.316536
+#> iter 9 value 778.316432
+#> iter 9 value 778.316422
+#> iter 9 value 778.316422
+#> final value 778.316422
+#> converged
+#> This is Run number 126
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2881536 1.5758437 -4.5881536 -0.1241563 2
+#> 2 1 -1.35 -13.20 0.3152431 -0.8307058 -1.0347569 -14.0307058 1
+#> 3 1 -2.05 -14.20 2.1852156 -0.1726850 0.1352156 -14.3726850 1
+#> 4 1 -1.55 -3.10 2.5687527 0.7499342 1.0187527 -2.3500658 1
+#> 5 1 -1.90 -3.60 -0.4360062 1.8790101 -2.3360062 -1.7209899 2
+#> 6 1 -13.70 -1.85 -0.4952410 0.1408448 -14.1952410 -1.7091552 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3540 -36425 8700
+#> initial value 998.131940
+#> iter 2 value 831.895742
+#> iter 3 value 816.198115
+#> iter 4 value 813.693907
+#> iter 5 value 777.028559
+#> iter 6 value 770.164089
+#> iter 7 value 769.122859
+#> iter 8 value 769.096874
+#> iter 9 value 769.096751
+#> iter 9 value 769.096745
+#> iter 9 value 769.096743
+#> final value 769.096743
+#> converged
+#> This is Run number 127
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.13596376 -0.4719210 -4.16403624 -2.1719210 2
+#> 2 1 -1.35 -13.20 0.27648246 3.0538336 -1.07351754 -10.1461664 1
+#> 3 1 -2.05 -14.20 2.04489463 -0.9924220 -0.00510537 -15.1924220 1
+#> 4 1 -1.55 -3.10 0.61849647 1.3178078 -0.93150353 -1.7821922 1
+#> 5 1 -1.90 -3.60 2.47022950 3.0187425 0.57022950 -0.5812575 1
+#> 6 1 -13.70 -1.85 0.03285275 0.3180292 -13.66714725 -1.5319708 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3560 -37825 10450
+#> initial value 998.131940
+#> iter 2 value 799.666076
+#> iter 3 value 778.631126
+#> iter 4 value 776.899488
+#> iter 5 value 744.948618
+#> iter 6 value 738.760569
+#> iter 7 value 738.080813
+#> iter 8 value 738.051821
+#> iter 9 value 738.051738
+#> iter 10 value 738.051650
+#> iter 10 value 738.051649
+#> iter 10 value 738.051649
+#> final value 738.051649
+#> converged
+#> This is Run number 128
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.0947047 4.7383838 -2.2052953 3.0383838 2
+#> 2 1 -1.35 -13.20 2.2508037 0.8159859 0.9008037 -12.3840141 1
+#> 3 1 -2.05 -14.20 3.6006529 0.2646778 1.5506529 -13.9353222 1
+#> 4 1 -1.55 -3.10 0.2490108 0.5057610 -1.3009892 -2.5942390 1
+#> 5 1 -1.90 -3.60 -0.5320864 2.0610620 -2.4320864 -1.5389380 2
+#> 6 1 -13.70 -1.85 0.4772463 1.2633476 -13.2227537 -0.5866524 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3360 -38325 10275
+#> initial value 998.131940
+#> iter 2 value 793.393163
+#> iter 3 value 772.160397
+#> iter 4 value 769.112346
+#> iter 5 value 736.916518
+#> iter 6 value 730.640692
+#> iter 7 value 729.874912
+#> iter 8 value 729.838593
+#> iter 9 value 729.838551
+#> iter 10 value 729.838526
+#> iter 11 value 729.838502
+#> iter 11 value 729.838495
+#> iter 11 value 729.838495
+#> final value 729.838495
+#> converged
+#> This is Run number 129
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.9702036 -0.74517929 -3.3297964 -2.4451793 2
+#> 2 1 -1.35 -13.20 -1.7511460 1.53635926 -3.1011460 -11.6636407 1
+#> 3 1 -2.05 -14.20 -0.9405461 1.71047951 -2.9905461 -12.4895205 1
+#> 4 1 -1.55 -3.10 1.7505074 3.24397808 0.2005074 0.1439781 1
+#> 5 1 -1.90 -3.60 2.7687013 0.07759844 0.8687013 -3.5224016 1
+#> 6 1 -13.70 -1.85 -0.6128380 -0.44654841 -14.3128380 -2.2965484 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3300 -38475 10200
+#> initial value 998.131940
+#> iter 2 value 791.629805
+#> iter 3 value 770.378613
+#> iter 4 value 766.855765
+#> iter 5 value 734.486105
+#> iter 6 value 728.176798
+#> iter 7 value 727.380055
+#> iter 8 value 727.341216
+#> iter 9 value 727.341185
+#> iter 9 value 727.341183
+#> iter 9 value 727.341183
+#> final value 727.341183
+#> converged
+#> This is Run number 130
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.82542771 -0.1429724 -3.474572 -1.8429724 2
+#> 2 1 -1.35 -13.20 -1.09755539 0.6727157 -2.447555 -12.5272843 1
+#> 3 1 -2.05 -14.20 0.51520401 -0.6404648 -1.534796 -14.8404648 1
+#> 4 1 -1.55 -3.10 0.53447840 2.2466957 -1.015522 -0.8533043 2
+#> 5 1 -1.90 -3.60 0.01341429 0.4600764 -1.886586 -3.1399236 1
+#> 6 1 -13.70 -1.85 -0.51198140 -0.5154147 -14.211981 -2.3654147 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3560 -38125 10750
+#> initial value 998.131940
+#> iter 2 value 792.833957
+#> iter 3 value 770.741388
+#> iter 4 value 769.135753
+#> iter 5 value 737.952760
+#> iter 6 value 731.950833
+#> iter 7 value 731.303862
+#> iter 8 value 731.272579
+#> iter 9 value 731.272495
+#> iter 10 value 731.272358
+#> iter 11 value 731.272303
+#> iter 12 value 731.272277
+#> iter 12 value 731.272277
+#> iter 12 value 731.272277
+#> final value 731.272277
+#> converged
+#> This is Run number 131
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.05893223 -0.2741527 -4.2410678 -1.974153 2
+#> 2 1 -1.35 -13.20 -0.29562115 0.1692996 -1.6456212 -13.030700 1
+#> 3 1 -2.05 -14.20 0.85765027 0.1886230 -1.1923497 -14.011377 1
+#> 4 1 -1.55 -3.10 -0.80880070 2.1808430 -2.3588007 -0.919157 2
+#> 5 1 -1.90 -3.60 2.25747467 1.4631019 0.3574747 -2.136898 1
+#> 6 1 -13.70 -1.85 -0.39072468 -0.5778681 -14.0907247 -2.427868 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3740 -36750 8950
+#> initial value 998.131940
+#> iter 2 value 826.035605
+#> iter 3 value 810.050687
+#> iter 4 value 807.982231
+#> iter 5 value 772.863370
+#> iter 6 value 766.038506
+#> iter 7 value 765.063694
+#> iter 8 value 765.037155
+#> iter 9 value 765.036990
+#> iter 10 value 765.036978
+#> iter 10 value 765.036973
+#> iter 10 value 765.036973
+#> final value 765.036973
+#> converged
+#> This is Run number 132
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.6141324 -0.009820376 -3.6858676 -1.709820 2
+#> 2 1 -1.35 -13.20 0.4835557 2.667871399 -0.8664443 -10.532129 1
+#> 3 1 -2.05 -14.20 -0.5042820 1.130919637 -2.5542820 -13.069080 1
+#> 4 1 -1.55 -3.10 2.4702052 -0.056794905 0.9202052 -3.156795 1
+#> 5 1 -1.90 -3.60 -1.1620774 0.329092513 -3.0620774 -3.270907 1
+#> 6 1 -13.70 -1.85 2.9548775 -0.746531648 -10.7451225 -2.596532 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3540 -36525 9800
+#> initial value 998.131940
+#> iter 2 value 822.930154
+#> iter 3 value 804.305468
+#> iter 4 value 802.774700
+#> iter 5 value 768.221406
+#> iter 6 value 761.857761
+#> iter 7 value 761.099239
+#> iter 8 value 761.077305
+#> iter 9 value 761.077167
+#> iter 10 value 761.077149
+#> iter 11 value 761.077124
+#> iter 12 value 761.077107
+#> iter 12 value 761.077107
+#> iter 12 value 761.077107
+#> final value 761.077107
+#> converged
+#> This is Run number 133
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.5818099 1.0217830 -3.718190 -0.678217 2
+#> 2 1 -1.35 -13.20 -0.1761203 2.0801454 -1.526120 -11.119855 1
+#> 3 1 -2.05 -14.20 0.3235554 1.2236242 -1.726445 -12.976376 1
+#> 4 1 -1.55 -3.10 -0.8742666 0.8153782 -2.424267 -2.284622 2
+#> 5 1 -1.90 -3.60 -0.4312298 1.0714880 -2.331230 -2.528512 1
+#> 6 1 -13.70 -1.85 -1.2954380 0.2010259 -14.995438 -1.648974 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3400 -36125 8875
+#> initial value 998.131940
+#> iter 2 value 834.598933
+#> iter 3 value 818.278851
+#> iter 4 value 815.852670
+#> iter 5 value 778.705436
+#> iter 6 value 772.004114
+#> iter 7 value 771.015205
+#> iter 8 value 770.991161
+#> iter 9 value 770.991045
+#> iter 9 value 770.991039
+#> iter 9 value 770.991037
+#> final value 770.991037
+#> converged
+#> This is Run number 134
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.26457998 -0.02381743 -4.0354200 -1.7238174 2
+#> 2 1 -1.35 -13.20 0.43953022 0.89250432 -0.9104698 -12.3074957 1
+#> 3 1 -2.05 -14.20 1.04426149 1.12656013 -1.0057385 -13.0734399 1
+#> 4 1 -1.55 -3.10 0.09107807 -0.84661728 -1.4589219 -3.9466173 1
+#> 5 1 -1.90 -3.60 0.78104055 -0.24743751 -1.1189594 -3.8474375 1
+#> 6 1 -13.70 -1.85 -0.69081525 2.25811327 -14.3908152 0.4081133 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4120 -37675 7900
+#> initial value 998.131940
+#> iter 2 value 819.897557
+#> iter 3 value 806.768707
+#> iter 4 value 803.863863
+#> iter 5 value 769.401905
+#> iter 6 value 761.884132
+#> iter 7 value 760.633199
+#> iter 8 value 760.599190
+#> iter 9 value 760.599068
+#> iter 9 value 760.599063
+#> iter 9 value 760.599060
+#> final value 760.599060
+#> converged
+#> This is Run number 135
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.31600682 1.39287668 -3.9839932 -0.3071233 2
+#> 2 1 -1.35 -13.20 -0.05690912 2.46693840 -1.4069091 -10.7330616 1
+#> 3 1 -2.05 -14.20 2.22499137 -0.85609057 0.1749914 -15.0560906 1
+#> 4 1 -1.55 -3.10 -0.52823518 0.23218775 -2.0782352 -2.8678123 1
+#> 5 1 -1.90 -3.60 -1.25508855 2.34782995 -3.1550886 -1.2521700 2
+#> 6 1 -13.70 -1.85 -0.89576021 0.04160775 -14.5957602 -1.8083923 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4160 -38275 9525
+#> initial value 998.131940
+#> iter 2 value 800.505393
+#> iter 3 value 783.313219
+#> iter 4 value 781.800161
+#> iter 5 value 750.755870
+#> iter 6 value 743.921543
+#> iter 7 value 743.111753
+#> iter 8 value 743.081427
+#> iter 9 value 743.081274
+#> iter 10 value 743.081232
+#> iter 11 value 743.081200
+#> iter 11 value 743.081198
+#> iter 11 value 743.081198
+#> final value 743.081198
+#> converged
+#> This is Run number 136
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.26003675 0.8359438 -4.0399632 -0.8640562 2
+#> 2 1 -1.35 -13.20 -0.36009908 0.9745960 -1.7100991 -12.2254040 1
+#> 3 1 -2.05 -14.20 2.52328929 0.1892647 0.4732893 -14.0107353 1
+#> 4 1 -1.55 -3.10 0.04749592 -0.6266316 -1.5025041 -3.7266316 1
+#> 5 1 -1.90 -3.60 0.56957740 0.3309988 -1.3304226 -3.2690012 1
+#> 6 1 -13.70 -1.85 1.48355178 0.9841863 -12.2164482 -0.8658137 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3080 -35925 11275
+#> initial value 998.131940
+#> iter 2 value 818.642389
+#> iter 3 value 794.552903
+#> iter 4 value 793.712832
+#> iter 5 value 759.906129
+#> iter 6 value 754.520371
+#> iter 7 value 754.025167
+#> iter 8 value 754.008428
+#> iter 9 value 754.008368
+#> iter 10 value 754.008213
+#> iter 10 value 754.008213
+#> iter 10 value 754.008207
+#> final value 754.008207
+#> converged
+#> This is Run number 137
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.15315405 2.88984865 -1.1468460 1.189849 2
+#> 2 1 -1.35 -13.20 0.88246588 -1.63999104 -0.4675341 -14.839991 1
+#> 3 1 -2.05 -14.20 -0.70574667 -0.44488008 -2.7557467 -14.644880 1
+#> 4 1 -1.55 -3.10 -0.62645054 -0.04522435 -2.1764505 -3.145224 1
+#> 5 1 -1.90 -3.60 4.83543623 0.16359652 2.9354362 -3.436403 1
+#> 6 1 -13.70 -1.85 -0.04243297 -1.44085339 -13.7424330 -3.290853 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -38275 8525
+#> initial value 998.131940
+#> iter 2 value 807.467886
+#> iter 3 value 793.574972
+#> iter 4 value 791.863588
+#> iter 5 value 760.482201
+#> iter 6 value 753.154279
+#> iter 7 value 752.102759
+#> iter 8 value 752.068206
+#> iter 9 value 752.067948
+#> iter 10 value 752.067931
+#> iter 10 value 752.067923
+#> iter 10 value 752.067914
+#> final value 752.067914
+#> converged
+#> This is Run number 138
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.8145190 0.7714905 -2.4854810 -0.9285095 2
+#> 2 1 -1.35 -13.20 5.5233524 1.8146087 4.1733524 -11.3853913 1
+#> 3 1 -2.05 -14.20 1.2783247 -0.2305247 -0.7716753 -14.4305247 1
+#> 4 1 -1.55 -3.10 -1.1483929 -0.5061940 -2.6983929 -3.6061940 1
+#> 5 1 -1.90 -3.60 -0.2174284 -0.3090436 -2.1174284 -3.9090436 1
+#> 6 1 -13.70 -1.85 -0.6753649 -0.7203401 -14.3753649 -2.5703401 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -35825 8250
+#> initial value 998.131940
+#> iter 2 value 843.321122
+#> iter 3 value 830.792232
+#> iter 4 value 830.149015
+#> iter 5 value 794.168381
+#> iter 6 value 787.408593
+#> iter 7 value 786.284655
+#> iter 8 value 786.257401
+#> iter 9 value 786.257200
+#> iter 9 value 786.257193
+#> iter 9 value 786.257193
+#> final value 786.257193
+#> converged
+#> This is Run number 139
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.2066934 0.5853592 -1.0933066 -1.114641 1
+#> 2 1 -1.35 -13.20 2.3137942 -1.4124321 0.9637942 -14.612432 1
+#> 3 1 -2.05 -14.20 -0.1772841 1.0083809 -2.2272841 -13.191619 1
+#> 4 1 -1.55 -3.10 0.5063202 0.9105780 -1.0436798 -2.189422 1
+#> 5 1 -1.90 -3.60 0.8376728 -0.3979626 -1.0623272 -3.997963 1
+#> 6 1 -13.70 -1.85 3.9579343 -1.4385327 -9.7420657 -3.288533 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3820 -39025 9550
+#> initial value 998.131940
+#> iter 2 value 788.621843
+#> iter 3 value 770.248714
+#> iter 4 value 767.010795
+#> iter 5 value 736.221550
+#> iter 6 value 729.445201
+#> iter 7 value 728.576955
+#> iter 8 value 728.537549
+#> iter 9 value 728.537514
+#> iter 9 value 728.537504
+#> iter 9 value 728.537504
+#> final value 728.537504
+#> converged
+#> This is Run number 140
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.69492773 0.8479919 -2.60507227 -0.8520081 2
+#> 2 1 -1.35 -13.20 0.41224651 0.8590345 -0.93775349 -12.3409655 1
+#> 3 1 -2.05 -14.20 0.58496574 4.8719338 -1.46503426 -9.3280662 1
+#> 4 1 -1.55 -3.10 1.47310326 0.9139084 -0.07689674 -2.1860916 1
+#> 5 1 -1.90 -3.60 0.52027474 0.6740269 -1.37972526 -2.9259731 1
+#> 6 1 -13.70 -1.85 -0.09909648 3.4354755 -13.79909648 1.5854755 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3400 -36600 10150
+#> initial value 998.131940
+#> iter 2 value 819.123944
+#> iter 3 value 799.127452
+#> iter 4 value 797.556480
+#> iter 5 value 763.294724
+#> iter 6 value 757.108366
+#> iter 7 value 756.411039
+#> iter 8 value 756.389233
+#> iter 9 value 756.389120
+#> iter 10 value 756.389084
+#> iter 11 value 756.389054
+#> iter 11 value 756.389053
+#> iter 11 value 756.389053
+#> final value 756.389053
+#> converged
+#> This is Run number 141
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.6760240 -0.1320905 -3.6239760 -1.832090 2
+#> 2 1 -1.35 -13.20 -0.7668984 0.3168880 -2.1168984 -12.883112 1
+#> 3 1 -2.05 -14.20 0.9649826 -0.2583584 -1.0850174 -14.458358 1
+#> 4 1 -1.55 -3.10 0.9152255 1.3170561 -0.6347745 -1.782944 1
+#> 5 1 -1.90 -3.60 0.6103952 1.4238708 -1.2896048 -2.176129 1
+#> 6 1 -13.70 -1.85 -0.9672811 4.9228763 -14.6672811 3.072876 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3300 -37250 10150
+#> initial value 998.131940
+#> iter 2 value 809.964720
+#> iter 3 value 789.445699
+#> iter 4 value 787.084434
+#> iter 5 value 753.254671
+#> iter 6 value 746.973832
+#> iter 7 value 746.231611
+#> iter 8 value 746.204617
+#> iter 9 value 746.204538
+#> iter 10 value 746.204516
+#> iter 10 value 746.204511
+#> iter 10 value 746.204511
+#> final value 746.204511
+#> converged
+#> This is Run number 142
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.31515424 0.1585482 -2.984846 -1.541452 2
+#> 2 1 -1.35 -13.20 -0.85660808 -0.6340510 -2.206608 -13.834051 1
+#> 3 1 -2.05 -14.20 -1.51528248 -0.2323008 -3.565282 -14.432301 1
+#> 4 1 -1.55 -3.10 1.38347203 0.4855700 -0.166528 -2.614430 1
+#> 5 1 -1.90 -3.60 -0.06423696 2.3838067 -1.964237 -1.216193 2
+#> 6 1 -13.70 -1.85 3.25627853 -0.3490106 -10.443721 -2.199011 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3560 -36950 10875
+#> initial value 998.131940
+#> iter 2 value 808.705252
+#> iter 3 value 786.645484
+#> iter 4 value 785.901550
+#> iter 5 value 753.490609
+#> iter 6 value 747.638539
+#> iter 7 value 747.076427
+#> iter 8 value 747.055425
+#> iter 9 value 747.055344
+#> iter 10 value 747.055155
+#> iter 10 value 747.055154
+#> iter 10 value 747.055145
+#> final value 747.055145
+#> converged
+#> This is Run number 143
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.5052383 -0.18971789 -3.7947617 -1.889718 2
+#> 2 1 -1.35 -13.20 -0.1621842 0.07388539 -1.5121842 -13.126115 1
+#> 3 1 -2.05 -14.20 0.1172284 -0.50168952 -1.9327716 -14.701690 1
+#> 4 1 -1.55 -3.10 2.1150745 -0.44957511 0.5650745 -3.549575 1
+#> 5 1 -1.90 -3.60 0.8943112 -1.34452195 -1.0056888 -4.944522 1
+#> 6 1 -13.70 -1.85 2.1296324 -1.08489867 -11.5703676 -2.934899 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3600 -35450 9375
+#> initial value 998.131940
+#> iter 2 value 840.184929
+#> iter 3 value 823.305697
+#> iter 4 value 822.202379
+#> iter 5 value 785.865764
+#> iter 6 value 779.607084
+#> iter 7 value 778.801010
+#> iter 8 value 778.782416
+#> iter 9 value 778.782278
+#> iter 9 value 778.782277
+#> iter 9 value 778.782277
+#> final value 778.782277
+#> converged
+#> This is Run number 144
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3890683 1.70874734 -4.68906830 0.008747338 2
+#> 2 1 -1.35 -13.20 -0.4783302 -0.36308763 -1.82833020 -13.563087626 1
+#> 3 1 -2.05 -14.20 1.2101575 -0.17191690 -0.83984253 -14.371916899 1
+#> 4 1 -1.55 -3.10 1.5005253 0.08868745 -0.04947469 -3.011312552 1
+#> 5 1 -1.90 -3.60 -0.1452812 -0.05654540 -2.04528119 -3.656545403 1
+#> 6 1 -13.70 -1.85 -0.7406279 2.69592280 -14.44062794 0.845922797 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2840 -34975 8900
+#> initial value 998.131940
+#> iter 2 value 848.369046
+#> iter 3 value 831.125142
+#> iter 4 value 828.640332
+#> iter 5 value 788.085259
+#> iter 6 value 781.718310
+#> iter 7 value 780.787712
+#> iter 8 value 780.769206
+#> iter 9 value 780.769148
+#> iter 9 value 780.769145
+#> iter 9 value 780.769144
+#> final value 780.769144
+#> converged
+#> This is Run number 145
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2875433 0.71720410 -4.5875433 -0.9827959 2
+#> 2 1 -1.35 -13.20 0.3924399 6.50537438 -0.9575601 -6.6946256 1
+#> 3 1 -2.05 -14.20 -1.0047290 -0.28967913 -3.0547290 -14.4896791 1
+#> 4 1 -1.55 -3.10 0.8915355 -0.15011464 -0.6584645 -3.2501146 1
+#> 5 1 -1.90 -3.60 1.7364414 4.51894972 -0.1635586 0.9189497 2
+#> 6 1 -13.70 -1.85 -1.5838653 -0.08308132 -15.2838653 -1.9330813 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3920 -37500 9150
+#> initial value 998.131940
+#> iter 2 value 814.314702
+#> iter 3 value 797.907174
+#> iter 4 value 795.914202
+#> iter 5 value 762.644604
+#> iter 6 value 755.742301
+#> iter 7 value 754.821321
+#> iter 8 value 754.792643
+#> iter 9 value 754.792470
+#> iter 10 value 754.792458
+#> iter 10 value 754.792450
+#> iter 10 value 754.792449
+#> final value 754.792449
+#> converged
+#> This is Run number 146
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.1479605 -1.70986892 -3.152039 -3.4098689 1
+#> 2 1 -1.35 -13.20 0.1332082 0.11498071 -1.216792 -13.0850193 1
+#> 3 1 -2.05 -14.20 -0.5800052 0.28731859 -2.630005 -13.9126814 1
+#> 4 1 -1.55 -3.10 6.2246856 2.91946788 4.674686 -0.1805321 1
+#> 5 1 -1.90 -3.60 0.2325390 -0.05205622 -1.667461 -3.6520562 1
+#> 6 1 -13.70 -1.85 1.1449537 -0.98016695 -12.555046 -2.8301669 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3880 -38225 9800
+#> initial value 998.131940
+#> iter 2 value 799.044318
+#> iter 3 value 780.492839
+#> iter 4 value 778.563332
+#> iter 5 value 747.121366
+#> iter 6 value 740.477518
+#> iter 7 value 739.695103
+#> iter 8 value 739.663976
+#> iter 9 value 739.663871
+#> iter 10 value 739.663829
+#> iter 10 value 739.663828
+#> iter 10 value 739.663828
+#> final value 739.663828
+#> converged
+#> This is Run number 147
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.4377999 -0.4837869 -4.7377999 -2.183787 2
+#> 2 1 -1.35 -13.20 0.9691779 1.3424228 -0.3808221 -11.857577 1
+#> 3 1 -2.05 -14.20 0.6427644 1.7791320 -1.4072356 -12.420868 1
+#> 4 1 -1.55 -3.10 1.2229760 0.9526136 -0.3270240 -2.147386 1
+#> 5 1 -1.90 -3.60 -0.5314730 0.4884015 -2.4314730 -3.111598 1
+#> 6 1 -13.70 -1.85 0.4827494 0.3278487 -13.2172506 -1.522151 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3680 -37100 10425
+#> initial value 998.131940
+#> iter 2 value 810.361661
+#> iter 3 value 789.951001
+#> iter 4 value 788.983366
+#> iter 5 value 756.369577
+#> iter 6 value 750.215900
+#> iter 7 value 749.582993
+#> iter 8 value 749.560664
+#> iter 9 value 749.560561
+#> iter 10 value 749.560452
+#> iter 10 value 749.560445
+#> iter 10 value 749.560445
+#> final value 749.560445
+#> converged
+#> This is Run number 148
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2799292 0.61802165 -4.5799292 -1.081978 2
+#> 2 1 -1.35 -13.20 4.6407093 2.13612594 3.2907093 -11.063874 1
+#> 3 1 -2.05 -14.20 0.5127272 0.09543388 -1.5372728 -14.104566 1
+#> 4 1 -1.55 -3.10 -0.1299024 0.89224845 -1.6799024 -2.207752 1
+#> 5 1 -1.90 -3.60 1.2637205 0.67570528 -0.6362795 -2.924295 1
+#> 6 1 -13.70 -1.85 2.4941101 -0.55816710 -11.2058899 -2.408167 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -36550 9550
+#> initial value 998.131940
+#> iter 2 value 824.765812
+#> iter 3 value 807.685530
+#> iter 4 value 806.790264
+#> iter 5 value 772.766783
+#> iter 6 value 766.247302
+#> iter 7 value 765.466248
+#> iter 8 value 765.444860
+#> iter 9 value 765.444691
+#> iter 10 value 765.444672
+#> iter 11 value 765.444627
+#> iter 12 value 765.444586
+#> iter 12 value 765.444586
+#> iter 12 value 765.444586
+#> final value 765.444586
+#> converged
+#> This is Run number 149
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.1154075 2.0080847 -4.1845925 0.3080847 2
+#> 2 1 -1.35 -13.20 2.5127603 -0.2605134 1.1627603 -13.4605134 1
+#> 3 1 -2.05 -14.20 1.6207538 -0.4739484 -0.4292462 -14.6739484 1
+#> 4 1 -1.55 -3.10 -0.2670073 1.0974170 -1.8170073 -2.0025830 1
+#> 5 1 -1.90 -3.60 0.9518495 -0.5469247 -0.9481505 -4.1469247 1
+#> 6 1 -13.70 -1.85 -0.7756821 1.5232785 -14.4756821 -0.3267215 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3720 -37525 10325
+#> initial value 998.131940
+#> iter 2 value 805.153249
+#> iter 3 value 784.981130
+#> iter 4 value 783.747292
+#> iter 5 value 751.626549
+#> iter 6 value 745.360709
+#> iter 7 value 744.693359
+#> iter 8 value 744.667939
+#> iter 9 value 744.667834
+#> iter 10 value 744.667737
+#> iter 10 value 744.667732
+#> iter 10 value 744.667722
+#> final value 744.667722
+#> converged
+#> This is Run number 150
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.2426891 1.528947 -3.0573109 -0.1710528 2
+#> 2 1 -1.35 -13.20 1.9398021 1.531420 0.5898021 -11.6685798 1
+#> 3 1 -2.05 -14.20 0.8035333 0.289794 -1.2464667 -13.9102060 1
+#> 4 1 -1.55 -3.10 3.4419600 1.194090 1.8919600 -1.9059101 1
+#> 5 1 -1.90 -3.60 0.9354322 1.648961 -0.9645678 -1.9510386 1
+#> 6 1 -13.70 -1.85 1.5636524 0.519665 -12.1363476 -1.3303350 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3760 -36925 9300
+#> initial value 998.131940
+#> iter 2 value 821.246331
+#> iter 3 value 804.328656
+#> iter 4 value 802.534957
+#> iter 5 value 768.265762
+#> iter 6 value 761.558737
+#> iter 7 value 760.677422
+#> iter 8 value 760.651885
+#> iter 9 value 760.651717
+#> iter 10 value 760.651703
+#> iter 11 value 760.651690
+#> iter 12 value 760.651677
+#> iter 12 value 760.651677
+#> iter 12 value 760.651677
+#> final value 760.651677
+#> converged
+#> This is Run number 151
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.4825715 0.5760702 -1.8174285 -1.123930 2
+#> 2 1 -1.35 -13.20 1.6713433 0.4390183 0.3213433 -12.760982 1
+#> 3 1 -2.05 -14.20 -1.2623802 2.4870319 -3.3123802 -11.712968 1
+#> 4 1 -1.55 -3.10 -0.2006655 3.3956470 -1.7506655 0.295647 2
+#> 5 1 -1.90 -3.60 -1.3572634 -0.9831301 -3.2572634 -4.583130 1
+#> 6 1 -13.70 -1.85 3.5932755 -0.2817101 -10.1067245 -2.131710 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3640 -36550 9225
+#> initial value 998.131940
+#> iter 2 value 826.800218
+#> iter 3 value 809.967847
+#> iter 4 value 808.084391
+#> iter 5 value 772.887045
+#> iter 6 value 766.239484
+#> iter 7 value 765.340402
+#> iter 8 value 765.315995
+#> iter 9 value 765.315837
+#> iter 10 value 765.315823
+#> iter 10 value 765.315814
+#> iter 10 value 765.315809
+#> final value 765.315809
+#> converged
+#> This is Run number 152
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2515457 1.4443873 -4.551546e+00 -0.25561271 2
+#> 2 1 -1.35 -13.20 1.3502718 -1.1364540 2.717807e-04 -14.33645400 1
+#> 3 1 -2.05 -14.20 1.2178600 -0.9137894 -8.321400e-01 -15.11378943 1
+#> 4 1 -1.55 -3.10 -0.8956418 1.5431577 -2.445642e+00 -1.55684229 2
+#> 5 1 -1.90 -3.60 1.0674871 0.6280994 -8.325129e-01 -2.97190065 1
+#> 6 1 -13.70 -1.85 -0.5007010 1.8185388 -1.420070e+01 -0.03146118 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -38525 8875
+#> initial value 998.131940
+#> iter 2 value 801.449699
+#> iter 3 value 786.806341
+#> iter 4 value 785.570261
+#> iter 5 value 755.178732
+#> iter 6 value 747.961173
+#> iter 7 value 747.032225
+#> iter 8 value 746.999592
+#> iter 9 value 746.999343
+#> iter 9 value 746.999333
+#> iter 9 value 746.999333
+#> final value 746.999333
+#> converged
+#> This is Run number 153
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.2452389 4.18517472 -4.0547611 2.485175 2
+#> 2 1 -1.35 -13.20 0.4926933 -0.08748082 -0.8573067 -13.287481 1
+#> 3 1 -2.05 -14.20 -0.8151505 -0.51250267 -2.8651505 -14.712503 1
+#> 4 1 -1.55 -3.10 -0.2237312 -0.36245816 -1.7737312 -3.462458 1
+#> 5 1 -1.90 -3.60 1.1453638 0.14264471 -0.7546362 -3.457355 1
+#> 6 1 -13.70 -1.85 0.2634047 -0.30573831 -13.4365953 -2.155738 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2720 -36300 9550
+#> initial value 998.131940
+#> iter 2 value 826.589614
+#> iter 3 value 806.640315
+#> iter 4 value 803.101125
+#> iter 5 value 764.537908
+#> iter 6 value 758.102245
+#> iter 7 value 757.226234
+#> iter 8 value 757.202577
+#> iter 9 value 757.202554
+#> iter 9 value 757.202552
+#> iter 9 value 757.202552
+#> final value 757.202552
+#> converged
+#> This is Run number 154
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.31478993 0.8025989 -4.6147899 -0.8974011 2
+#> 2 1 -1.35 -13.20 0.47400840 0.5011896 -0.8759916 -12.6988104 1
+#> 3 1 -2.05 -14.20 0.62794010 1.0878536 -1.4220599 -13.1121464 1
+#> 4 1 -1.55 -3.10 -0.19832414 -0.7988612 -1.7483241 -3.8988612 1
+#> 5 1 -1.90 -3.60 0.02691388 0.9020753 -1.8730861 -2.6979247 1
+#> 6 1 -13.70 -1.85 0.95113290 2.3340635 -12.7488671 0.4840635 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4000 -36625 9150
+#> initial value 998.131940
+#> iter 2 value 826.602038
+#> iter 3 value 810.710588
+#> iter 4 value 809.541811
+#> iter 5 value 775.189511
+#> iter 6 value 768.480934
+#> iter 7 value 767.588475
+#> iter 8 value 767.564251
+#> iter 9 value 767.564056
+#> iter 10 value 767.564029
+#> iter 11 value 767.564000
+#> iter 12 value 767.563976
+#> iter 12 value 767.563976
+#> iter 12 value 767.563976
+#> final value 767.563976
+#> converged
+#> This is Run number 155
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.5010295 0.02636611 -4.8010295 -1.673634 2
+#> 2 1 -1.35 -13.20 1.9873249 0.24814885 0.6373249 -12.951851 1
+#> 3 1 -2.05 -14.20 1.1358998 3.35260651 -0.9141002 -10.847393 1
+#> 4 1 -1.55 -3.10 -1.0122922 0.52577769 -2.5622922 -2.574222 1
+#> 5 1 -1.90 -3.60 -0.5941264 -0.05390263 -2.4941264 -3.653903 1
+#> 6 1 -13.70 -1.85 0.8586786 3.36333094 -12.8413214 1.513331 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3620 -36325 10650
+#> initial value 998.131940
+#> iter 2 value 819.139671
+#> iter 3 value 798.152391
+#> iter 4 value 797.626663
+#> iter 5 value 764.310878
+#> iter 6 value 758.413921
+#> iter 7 value 757.854098
+#> iter 8 value 757.837025
+#> iter 9 value 757.836943
+#> iter 10 value 757.836811
+#> iter 11 value 757.836792
+#> iter 12 value 757.836761
+#> iter 12 value 757.836761
+#> iter 12 value 757.836761
+#> final value 757.836761
+#> converged
+#> This is Run number 156
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.7233625 1.2269414 -5.0233625 -0.4730586 2
+#> 2 1 -1.35 -13.20 2.4780943 0.2837880 1.1280943 -12.9162120 1
+#> 3 1 -2.05 -14.20 0.7626506 -1.1235885 -1.2873494 -15.3235885 1
+#> 4 1 -1.55 -3.10 1.3785904 2.0017211 -0.1714096 -1.0982789 1
+#> 5 1 -1.90 -3.60 1.9358435 0.6926696 0.0358435 -2.9073304 1
+#> 6 1 -13.70 -1.85 4.6474310 0.4858236 -9.0525690 -1.3641764 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3360 -36675 9775
+#> initial value 998.131940
+#> iter 2 value 820.861348
+#> iter 3 value 801.823415
+#> iter 4 value 799.697442
+#> iter 5 value 764.770347
+#> iter 6 value 758.373689
+#> iter 7 value 757.583403
+#> iter 8 value 757.559700
+#> iter 9 value 757.559584
+#> iter 9 value 757.559578
+#> iter 9 value 757.559578
+#> final value 757.559578
+#> converged
+#> This is Run number 157
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.69731313 0.1453200 -3.6026869 -1.5546800 2
+#> 2 1 -1.35 -13.20 -0.34839644 -0.3178735 -1.6983964 -13.5178735 1
+#> 3 1 -2.05 -14.20 -0.02629944 -0.9749526 -2.0762994 -15.1749526 1
+#> 4 1 -1.55 -3.10 2.10097011 1.9458315 0.5509701 -1.1541685 1
+#> 5 1 -1.90 -3.60 2.51028129 -0.4311503 0.6102813 -4.0311503 1
+#> 6 1 -13.70 -1.85 0.43066873 1.4141366 -13.2693313 -0.4358634 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -39325 8300
+#> initial value 998.131940
+#> iter 2 value 792.774512
+#> iter 3 value 779.000011
+#> iter 4 value 776.114997
+#> iter 5 value 746.404096
+#> iter 6 value 738.879279
+#> iter 7 value 737.814098
+#> iter 8 value 737.775320
+#> iter 9 value 737.775226
+#> iter 9 value 737.775225
+#> iter 9 value 737.775223
+#> final value 737.775223
+#> converged
+#> This is Run number 158
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.0553203 0.2603656 -4.2446797 -1.4396344 2
+#> 2 1 -1.35 -13.20 2.0116635 4.1701970 0.6616635 -9.0298030 1
+#> 3 1 -2.05 -14.20 0.7694727 -0.2225942 -1.2805273 -14.4225942 1
+#> 4 1 -1.55 -3.10 -0.6604612 2.7943454 -2.2104612 -0.3056546 2
+#> 5 1 -1.90 -3.60 0.8867634 -0.0272099 -1.0132366 -3.6272099 1
+#> 6 1 -13.70 -1.85 2.6399206 -0.3580720 -11.0600794 -2.2080720 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3280 -35675 9450
+#> initial value 998.131940
+#> iter 2 value 836.410109
+#> iter 3 value 818.522772
+#> iter 4 value 816.662765
+#> iter 5 value 779.842982
+#> iter 6 value 773.549535
+#> iter 7 value 772.724543
+#> iter 8 value 772.704494
+#> iter 9 value 772.704372
+#> iter 10 value 772.704360
+#> iter 10 value 772.704350
+#> iter 10 value 772.704347
+#> final value 772.704347
+#> converged
+#> This is Run number 159
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.4599228 1.5018793 -4.75992277 -0.1981207 2
+#> 2 1 -1.35 -13.20 0.3847489 1.3363536 -0.96525113 -11.8636464 1
+#> 3 1 -2.05 -14.20 1.9620029 1.8524080 -0.08799712 -12.3475920 1
+#> 4 1 -1.55 -3.10 -0.6637215 0.8715254 -2.21372150 -2.2284746 1
+#> 5 1 -1.90 -3.60 0.4392898 0.1623928 -1.46071021 -3.4376072 1
+#> 6 1 -13.70 -1.85 0.2093196 0.2928178 -13.49068043 -1.5571822 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3700 -38100 10425
+#> initial value 998.131940
+#> iter 2 value 795.957653
+#> iter 3 value 775.212210
+#> iter 4 value 773.630675
+#> iter 5 value 742.350584
+#> iter 6 value 736.114236
+#> iter 7 value 735.434738
+#> iter 8 value 735.404563
+#> iter 9 value 735.404476
+#> iter 10 value 735.404364
+#> iter 10 value 735.404354
+#> iter 10 value 735.404354
+#> final value 735.404354
+#> converged
+#> This is Run number 160
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.8101815 -0.2612309 -1.4898185 -1.96123086 1
+#> 2 1 -1.35 -13.20 0.8986273 6.4327119 -0.4513727 -6.76728810 1
+#> 3 1 -2.05 -14.20 3.6111272 -0.3402674 1.5611272 -14.54026740 1
+#> 4 1 -1.55 -3.10 0.9111845 0.4327141 -0.6388155 -2.66728592 1
+#> 5 1 -1.90 -3.60 -0.8424119 1.0609811 -2.7424119 -2.53901892 2
+#> 6 1 -13.70 -1.85 0.3541161 1.8355555 -13.3458839 -0.01444446 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3720 -36250 9525
+#> initial value 998.131940
+#> iter 2 value 828.805831
+#> iter 3 value 811.457318
+#> iter 4 value 810.255932
+#> iter 5 value 775.361601
+#> iter 6 value 768.924238
+#> iter 7 value 768.126646
+#> iter 8 value 768.105586
+#> iter 9 value 768.105427
+#> iter 9 value 768.105419
+#> iter 9 value 768.105419
+#> final value 768.105419
+#> converged
+#> This is Run number 161
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.6782610 0.4590083 -4.9782610 -1.240992 2
+#> 2 1 -1.35 -13.20 1.7480567 1.5479862 0.3980567 -11.652014 1
+#> 3 1 -2.05 -14.20 0.9608081 -1.7006047 -1.0891919 -15.900605 1
+#> 4 1 -1.55 -3.10 0.7866687 0.4081583 -0.7633313 -2.691842 1
+#> 5 1 -1.90 -3.60 0.7029003 -0.1478572 -1.1970997 -3.747857 1
+#> 6 1 -13.70 -1.85 4.4151872 -1.0652142 -9.2848128 -2.915214 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -37275 9775
+#> initial value 998.131940
+#> iter 2 value 813.287987
+#> iter 3 value 796.033561
+#> iter 4 value 795.640251
+#> iter 5 value 763.572074
+#> iter 6 value 756.963629
+#> iter 7 value 756.261554
+#> iter 8 value 756.239983
+#> iter 9 value 756.239830
+#> iter 10 value 756.239746
+#> iter 11 value 756.239665
+#> iter 12 value 756.239651
+#> iter 12 value 756.239651
+#> iter 12 value 756.239651
+#> final value 756.239651
+#> converged
+#> This is Run number 162
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.6983528 0.9995198 -4.9983528 -0.7004802 2
+#> 2 1 -1.35 -13.20 1.7240478 2.0123870 0.3740478 -11.1876130 1
+#> 3 1 -2.05 -14.20 -0.2697201 -0.5098891 -2.3197201 -14.7098891 1
+#> 4 1 -1.55 -3.10 0.7084374 -0.9774902 -0.8415626 -4.0774902 1
+#> 5 1 -1.90 -3.60 1.7934341 -0.4445189 -0.1065659 -4.0445189 1
+#> 6 1 -13.70 -1.85 -0.6146527 0.2007947 -14.3146527 -1.6492053 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2780 -35525 8900
+#> initial value 998.131940
+#> iter 2 value 841.324385
+#> iter 3 value 823.611301
+#> iter 4 value 820.655249
+#> iter 5 value 779.968683
+#> iter 6 value 773.382421
+#> iter 7 value 772.419850
+#> iter 8 value 772.400085
+#> iter 9 value 772.400054
+#> iter 9 value 772.400051
+#> iter 9 value 772.400051
+#> final value 772.400051
+#> converged
+#> This is Run number 163
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 4.5708736 -0.8773256 0.2708736 -2.577326 1
+#> 2 1 -1.35 -13.20 0.1614379 0.2238660 -1.1885621 -12.976134 1
+#> 3 1 -2.05 -14.20 -0.4621242 1.0687827 -2.5121242 -13.131217 1
+#> 4 1 -1.55 -3.10 0.6416030 -0.1141787 -0.9083970 -3.214179 1
+#> 5 1 -1.90 -3.60 -1.1194462 0.3345166 -3.0194462 -3.265483 1
+#> 6 1 -13.70 -1.85 -0.4108435 0.1619849 -14.1108435 -1.688015 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -37375 9175
+#> initial value 998.131940
+#> iter 2 value 816.016351
+#> iter 3 value 799.856410
+#> iter 4 value 798.302702
+#> iter 5 value 765.171617
+#> iter 6 value 758.299341
+#> iter 7 value 757.398560
+#> iter 8 value 757.371017
+#> iter 9 value 757.370818
+#> iter 9 value 757.370818
+#> iter 9 value 757.370818
+#> final value 757.370818
+#> converged
+#> This is Run number 164
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.54390249 -0.565560611 -4.843902 -2.2655606 2
+#> 2 1 -1.35 -13.20 0.04908881 3.820259418 -1.300911 -9.3797406 1
+#> 3 1 -2.05 -14.20 0.52040843 -0.397035930 -1.529592 -14.5970359 1
+#> 4 1 -1.55 -3.10 2.90350648 3.370612430 1.353506 0.2706124 1
+#> 5 1 -1.90 -3.60 0.23727503 -0.009881966 -1.662725 -3.6098820 1
+#> 6 1 -13.70 -1.85 -0.85867994 -0.497993298 -14.558680 -2.3479933 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3120 -34675 9600
+#> initial value 998.131940
+#> iter 2 value 847.669262
+#> iter 3 value 829.428505
+#> iter 4 value 828.031104
+#> iter 5 value 790.179806
+#> iter 6 value 784.284452
+#> iter 7 value 783.551598
+#> iter 8 value 783.536178
+#> iter 9 value 783.536079
+#> iter 9 value 783.536079
+#> iter 9 value 783.536079
+#> final value 783.536079
+#> converged
+#> This is Run number 165
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.70254417 0.6294400 -3.59745583 -1.070560 2
+#> 2 1 -1.35 -13.20 -1.29549777 0.1376457 -2.64549777 -13.062354 1
+#> 3 1 -2.05 -14.20 0.09472869 -0.1178696 -1.95527131 -14.317870 1
+#> 4 1 -1.55 -3.10 4.09859345 -1.1345420 2.54859345 -4.234542 1
+#> 5 1 -1.90 -3.60 1.96390871 0.9188891 0.06390871 -2.681111 1
+#> 6 1 -13.70 -1.85 -1.00493876 -0.8327750 -14.70493876 -2.682775 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4340 -35200 8375
+#> initial value 998.131940
+#> iter 2 value 850.467432
+#> iter 3 value 837.658207
+#> iter 4 value 837.198937
+#> iter 5 value 800.326803
+#> iter 6 value 793.819389
+#> iter 7 value 792.778752
+#> iter 8 value 792.756017
+#> iter 9 value 792.755862
+#> iter 9 value 792.755855
+#> iter 9 value 792.755855
+#> final value 792.755855
+#> converged
+#> This is Run number 166
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.7517101 0.5850307 -5.05171008 -1.114969 2
+#> 2 1 -1.35 -13.20 -0.7826001 -0.2627959 -2.13260013 -13.462796 1
+#> 3 1 -2.05 -14.20 -0.5110655 -0.6066667 -2.56106551 -14.806667 1
+#> 4 1 -1.55 -3.10 1.6008110 0.4971726 0.05081103 -2.602827 1
+#> 5 1 -1.90 -3.60 -0.1822176 0.2137232 -2.08221758 -3.386277 1
+#> 6 1 -13.70 -1.85 0.7623154 -0.4863584 -12.93768455 -2.336358 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3800 -37225 9700
+#> initial value 998.131940
+#> iter 2 value 814.225290
+#> iter 3 value 796.180085
+#> iter 4 value 794.691590
+#> iter 5 value 761.508039
+#> iter 6 value 754.932547
+#> iter 7 value 754.149609
+#> iter 8 value 754.124514
+#> iter 9 value 754.124360
+#> iter 10 value 754.124333
+#> iter 11 value 754.124303
+#> iter 11 value 754.124293
+#> iter 11 value 754.124293
+#> final value 754.124293
+#> converged
+#> This is Run number 167
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.687125589 -0.54884190 -4.9871256 -2.248842 2
+#> 2 1 -1.35 -13.20 1.644439722 1.57048508 0.2944397 -11.629515 1
+#> 3 1 -2.05 -14.20 0.007314424 2.58595129 -2.0426856 -11.614049 1
+#> 4 1 -1.55 -3.10 -0.924010326 0.06701443 -2.4740103 -3.032986 1
+#> 5 1 -1.90 -3.60 1.239361257 0.44815801 -0.6606387 -3.151842 1
+#> 6 1 -13.70 -1.85 0.350409610 -0.52891062 -13.3495904 -2.378911 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2820 -36075 10625
+#> initial value 998.131940
+#> iter 2 value 821.651197
+#> iter 3 value 799.014671
+#> iter 4 value 796.854291
+#> iter 5 value 761.223135
+#> iter 6 value 755.467193
+#> iter 7 value 754.830024
+#> iter 8 value 754.809308
+#> iter 9 value 754.809241
+#> iter 10 value 754.809216
+#> iter 10 value 754.809207
+#> iter 10 value 754.809207
+#> final value 754.809207
+#> converged
+#> This is Run number 168
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.1860476 2.0838273 -4.11395242 0.3838273 2
+#> 2 1 -1.35 -13.20 0.1308181 0.4258730 -1.21918191 -12.7741270 1
+#> 3 1 -2.05 -14.20 2.0543668 0.1551497 0.00436680 -14.0448503 1
+#> 4 1 -1.55 -3.10 1.6470476 0.3887544 0.09704755 -2.7112456 1
+#> 5 1 -1.90 -3.60 -0.6499454 -0.1549246 -2.54994541 -3.7549246 1
+#> 6 1 -13.70 -1.85 -0.7261210 -0.2285042 -14.42612099 -2.0785042 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3880 -39275 10650
+#> initial value 998.131940
+#> iter 2 value 776.339027
+#> iter 3 value 754.846960
+#> iter 4 value 753.144926
+#> iter 5 value 724.167608
+#> iter 6 value 718.123039
+#> iter 7 value 717.435381
+#> iter 8 value 717.395035
+#> iter 9 value 717.394909
+#> iter 10 value 717.394841
+#> iter 11 value 717.394726
+#> iter 12 value 717.394566
+#> iter 12 value 717.394566
+#> iter 12 value 717.394566
+#> final value 717.394566
+#> converged
+#> This is Run number 169
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.3218137 -1.47060485 -1.978186 -3.1706049 1
+#> 2 1 -1.35 -13.20 -0.4240442 0.29122417 -1.774044 -12.9087758 1
+#> 3 1 -2.05 -14.20 0.4566131 0.06074565 -1.593387 -14.1392543 1
+#> 4 1 -1.55 -3.10 -1.1913050 -0.37725120 -2.741305 -3.4772512 1
+#> 5 1 -1.90 -3.60 -0.3905193 -0.94006397 -2.290519 -4.5400640 1
+#> 6 1 -13.70 -1.85 0.4084648 2.01004693 -13.291535 0.1600469 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3700 -35300 10375
+#> initial value 998.131940
+#> iter 2 value 834.733017
+#> iter 3 value 815.103841
+#> iter 4 value 814.866648
+#> iter 5 value 780.177622
+#> iter 6 value 774.367355
+#> iter 7 value 773.816040
+#> iter 8 value 773.803713
+#> iter 9 value 773.803640
+#> iter 10 value 773.803590
+#> iter 11 value 773.803528
+#> iter 12 value 773.803502
+#> iter 12 value 773.803502
+#> iter 12 value 773.803502
+#> final value 773.803502
+#> converged
+#> This is Run number 170
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.6883640 0.1986114 -3.6116360 -1.501389 2
+#> 2 1 -1.35 -13.20 0.3794280 0.4964047 -0.9705720 -12.703595 1
+#> 3 1 -2.05 -14.20 0.8451013 -0.1349292 -1.2048987 -14.334929 1
+#> 4 1 -1.55 -3.10 0.9385732 1.3855590 -0.6114268 -1.714441 1
+#> 5 1 -1.90 -3.60 -0.0462070 1.7496606 -1.9462070 -1.850339 2
+#> 6 1 -13.70 -1.85 2.2360499 -0.5093341 -11.4639501 -2.359334 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3200 -37325 10150
+#> initial value 998.131940
+#> iter 2 value 808.765017
+#> iter 3 value 787.955403
+#> iter 4 value 785.229017
+#> iter 5 value 751.142955
+#> iter 6 value 744.864185
+#> iter 7 value 744.105735
+#> iter 8 value 744.077401
+#> iter 9 value 744.077340
+#> iter 10 value 744.077326
+#> iter 10 value 744.077325
+#> iter 10 value 744.077322
+#> final value 744.077322
+#> converged
+#> This is Run number 171
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.7551436 0.5702066 -1.5448564 -1.129793 2
+#> 2 1 -1.35 -13.20 -0.5380813 -0.5517408 -1.8880813 -13.751741 1
+#> 3 1 -2.05 -14.20 0.8903767 1.4311234 -1.1596233 -12.768877 1
+#> 4 1 -1.55 -3.10 0.2804007 1.1265537 -1.2695993 -1.973446 1
+#> 5 1 -1.90 -3.60 1.3776705 1.7571482 -0.5223295 -1.842852 1
+#> 6 1 -13.70 -1.85 -0.2537020 0.8067950 -13.9537020 -1.043205 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4080 -36750 9175
+#> initial value 998.131940
+#> iter 2 value 824.772859
+#> iter 3 value 808.928835
+#> iter 4 value 807.879286
+#> iter 5 value 773.896742
+#> iter 6 value 767.162017
+#> iter 7 value 766.280762
+#> iter 8 value 766.256446
+#> iter 9 value 766.256245
+#> iter 10 value 766.256216
+#> iter 11 value 766.256182
+#> iter 12 value 766.256155
+#> iter 12 value 766.256155
+#> iter 12 value 766.256155
+#> final value 766.256155
+#> converged
+#> This is Run number 172
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.5675754 -0.5549022 -4.8675754 -2.2549022 2
+#> 2 1 -1.35 -13.20 1.2723816 -0.1133845 -0.0776184 -13.3133845 1
+#> 3 1 -2.05 -14.20 0.4230666 0.5626142 -1.6269334 -13.6373858 1
+#> 4 1 -1.55 -3.10 -0.2925090 2.3590748 -1.8425090 -0.7409252 2
+#> 5 1 -1.90 -3.60 -1.6211338 0.5334014 -3.5211338 -3.0665986 2
+#> 6 1 -13.70 -1.85 -0.8336904 1.8854298 -14.5336904 0.0354298 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4000 -36675 9775
+#> initial value 998.131940
+#> iter 2 value 821.463080
+#> iter 3 value 803.809408
+#> iter 4 value 803.145993
+#> iter 5 value 769.702963
+#> iter 6 value 763.248088
+#> iter 7 value 762.527971
+#> iter 8 value 762.507619
+#> iter 9 value 762.507465
+#> iter 10 value 762.507421
+#> iter 11 value 762.507360
+#> iter 12 value 762.507334
+#> iter 12 value 762.507334
+#> iter 12 value 762.507334
+#> final value 762.507334
+#> converged
+#> This is Run number 173
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.9167209 2.3815461 -5.216721 0.6815461 2
+#> 2 1 -1.35 -13.20 -0.7473570 0.4171020 -2.097357 -12.7828980 1
+#> 3 1 -2.05 -14.20 -0.7828672 0.9482268 -2.832867 -13.2517732 1
+#> 4 1 -1.55 -3.10 -0.2258321 0.5302622 -1.775832 -2.5697378 1
+#> 5 1 -1.90 -3.60 -0.1730882 0.2377881 -2.073088 -3.3622119 1
+#> 6 1 -13.70 -1.85 0.6180101 -1.3245748 -13.081990 -3.1745748 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3420 -36700 9550
+#> initial value 998.131940
+#> iter 2 value 822.223068
+#> iter 3 value 803.940151
+#> iter 4 value 801.713176
+#> iter 5 value 766.599998
+#> iter 6 value 760.078000
+#> iter 7 value 759.238531
+#> iter 8 value 759.214184
+#> iter 9 value 759.214061
+#> iter 9 value 759.214053
+#> iter 9 value 759.214049
+#> final value 759.214049
+#> converged
+#> This is Run number 174
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3024534 -0.7487084 -4.602453 -2.4487084 2
+#> 2 1 -1.35 -13.20 -0.7292158 -0.5891232 -2.079216 -13.7891232 1
+#> 3 1 -2.05 -14.20 0.1707288 2.3578953 -1.879271 -11.8421047 1
+#> 4 1 -1.55 -3.10 0.2785784 2.5656753 -1.271422 -0.5343247 2
+#> 5 1 -1.90 -3.60 1.2195860 2.6216117 -0.680414 -0.9783883 1
+#> 6 1 -13.70 -1.85 0.1203971 -0.1773623 -13.579603 -2.0273623 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3500 -37700 9600
+#> initial value 998.131940
+#> iter 2 value 807.846767
+#> iter 3 value 789.162471
+#> iter 4 value 786.314642
+#> iter 5 value 752.740536
+#> iter 6 value 746.068331
+#> iter 7 value 745.211996
+#> iter 8 value 745.181836
+#> iter 9 value 745.181762
+#> iter 9 value 745.181758
+#> iter 9 value 745.181758
+#> final value 745.181758
+#> converged
+#> This is Run number 175
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.33448886 1.2715648 -4.6344889 -0.4284352 2
+#> 2 1 -1.35 -13.20 -0.01739318 -1.0246145 -1.3673932 -14.2246145 1
+#> 3 1 -2.05 -14.20 -0.26991324 1.0523884 -2.3199132 -13.1476116 1
+#> 4 1 -1.55 -3.10 0.46090811 1.7260727 -1.0890919 -1.3739273 1
+#> 5 1 -1.90 -3.60 2.59324147 -1.2307922 0.6932415 -4.8307922 1
+#> 6 1 -13.70 -1.85 0.20883102 -0.6690217 -13.4911690 -2.5190217 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2940 -35800 9000
+#> initial value 998.131940
+#> iter 2 value 837.379734
+#> iter 3 value 819.720891
+#> iter 4 value 816.767593
+#> iter 5 value 777.513415
+#> iter 6 value 770.919960
+#> iter 7 value 769.965606
+#> iter 8 value 769.944298
+#> iter 9 value 769.944248
+#> iter 9 value 769.944245
+#> iter 9 value 769.944244
+#> final value 769.944244
+#> converged
+#> This is Run number 176
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.1560258 1.0077056 -5.45602584 -0.6922944 2
+#> 2 1 -1.35 -13.20 -0.3342144 1.6419885 -1.68421443 -11.5580115 1
+#> 3 1 -2.05 -14.20 1.6853173 -1.3910995 -0.36468270 -15.5910995 1
+#> 4 1 -1.55 -3.10 -0.3232407 -0.4310688 -1.87324074 -3.5310688 1
+#> 5 1 -1.90 -3.60 1.8261887 0.6257140 -0.07381127 -2.9742860 1
+#> 6 1 -13.70 -1.85 2.2261287 0.7514136 -11.47387133 -1.0985864 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4240 -37825 8425
+#> initial value 998.131940
+#> iter 2 value 814.611095
+#> iter 3 value 800.543587
+#> iter 4 value 798.326608
+#> iter 5 value 765.385340
+#> iter 6 value 758.091837
+#> iter 7 value 756.984369
+#> iter 8 value 756.950782
+#> iter 9 value 756.950574
+#> iter 9 value 756.950563
+#> iter 9 value 756.950557
+#> final value 756.950557
+#> converged
+#> This is Run number 177
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 5.9091410 1.9862591 1.6091410 0.2862591 1
+#> 2 1 -1.35 -13.20 2.1670669 -1.2576889 0.8170669 -14.4576889 1
+#> 3 1 -2.05 -14.20 -0.8553610 -0.1320855 -2.9053610 -14.3320855 1
+#> 4 1 -1.55 -3.10 1.0255556 -1.6160599 -0.5244444 -4.7160599 1
+#> 5 1 -1.90 -3.60 -0.1216492 -0.8195609 -2.0216492 -4.4195609 1
+#> 6 1 -13.70 -1.85 2.6218348 0.8499871 -11.0781652 -1.0000129 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3800 -37500 10025
+#> initial value 998.131940
+#> iter 2 value 807.893345
+#> iter 3 value 788.805231
+#> iter 4 value 787.470507
+#> iter 5 value 755.100136
+#> iter 6 value 748.655698
+#> iter 7 value 747.938085
+#> iter 8 value 747.912502
+#> iter 9 value 747.912375
+#> iter 10 value 747.912313
+#> iter 11 value 747.912282
+#> iter 11 value 747.912274
+#> iter 11 value 747.912274
+#> final value 747.912274
+#> converged
+#> This is Run number 178
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.41305013 1.30212408 -4.7130501 -0.3978759 2
+#> 2 1 -1.35 -13.20 0.37988287 -0.02686327 -0.9701171 -13.2268633 1
+#> 3 1 -2.05 -14.20 -0.10181085 -0.32887555 -2.1518108 -14.5288755 1
+#> 4 1 -1.55 -3.10 0.03609279 2.38421541 -1.5139072 -0.7157846 2
+#> 5 1 -1.90 -3.60 0.39277118 1.33919515 -1.5072288 -2.2608048 1
+#> 6 1 -13.70 -1.85 2.10515657 0.33799726 -11.5948434 -1.5120027 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3880 -35500 9025
+#> initial value 998.131940
+#> iter 2 value 842.200972
+#> iter 3 value 826.810349
+#> iter 4 value 825.930728
+#> iter 5 value 789.662331
+#> iter 6 value 783.249001
+#> iter 7 value 782.362153
+#> iter 8 value 782.341875
+#> iter 9 value 782.341722
+#> iter 10 value 782.341692
+#> iter 11 value 782.341654
+#> iter 12 value 782.341630
+#> iter 12 value 782.341630
+#> iter 12 value 782.341630
+#> final value 782.341630
+#> converged
+#> This is Run number 179
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.6203905 4.794670e-01 -4.9203905 -1.2205330 2
+#> 2 1 -1.35 -13.20 1.9507350 -5.464110e-02 0.6007350 -13.2546411 1
+#> 3 1 -2.05 -14.20 1.1882732 2.982391e+00 -0.8617268 -11.2176095 1
+#> 4 1 -1.55 -3.10 0.7507229 -6.081534e-05 -0.7992771 -3.1000608 1
+#> 5 1 -1.90 -3.60 1.7788164 1.705734e+00 -0.1211836 -1.8942662 1
+#> 6 1 -13.70 -1.85 2.0366154 1.075935e+00 -11.6633846 -0.7740652 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4100 -35875 9125
+#> initial value 998.131940
+#> iter 2 value 836.829191
+#> iter 3 value 821.454010
+#> iter 4 value 820.846985
+#> iter 5 value 785.588816
+#> iter 6 value 779.078218
+#> iter 7 value 778.220518
+#> iter 8 value 778.200187
+#> iter 9 value 778.200022
+#> iter 10 value 778.199986
+#> iter 11 value 778.199935
+#> iter 12 value 778.199904
+#> iter 12 value 778.199904
+#> iter 12 value 778.199904
+#> final value 778.199904
+#> converged
+#> This is Run number 180
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.2750944 -0.2011122 -3.0249056 -1.901112 2
+#> 2 1 -1.35 -13.20 3.2433217 -1.2690831 1.8933217 -14.469083 1
+#> 3 1 -2.05 -14.20 3.7303434 -1.1568889 1.6803434 -15.356889 1
+#> 4 1 -1.55 -3.10 0.9281034 -1.2203946 -0.6218966 -4.320395 1
+#> 5 1 -1.90 -3.60 0.9003070 -0.2313566 -0.9996930 -3.831357 1
+#> 6 1 -13.70 -1.85 -0.2875892 3.7942561 -13.9875892 1.944256 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3660 -37750 8775
+#> initial value 998.131940
+#> iter 2 value 812.972594
+#> iter 3 value 796.745998
+#> iter 4 value 793.400357
+#> iter 5 value 758.931927
+#> iter 6 value 751.790611
+#> iter 7 value 750.757318
+#> iter 8 value 750.726428
+#> iter 9 value 750.726372
+#> iter 9 value 750.726372
+#> iter 9 value 750.726372
+#> final value 750.726372
+#> converged
+#> This is Run number 181
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.05180097 -0.597179920 -4.24819903 -2.297180 2
+#> 2 1 -1.35 -13.20 1.75636947 4.323805255 0.40636947 -8.876195 1
+#> 3 1 -2.05 -14.20 2.08267653 -0.008626623 0.03267653 -14.208627 1
+#> 4 1 -1.55 -3.10 -0.64107554 0.096048610 -2.19107554 -3.003951 1
+#> 5 1 -1.90 -3.60 0.55710323 0.096010421 -1.34289677 -3.503990 1
+#> 6 1 -13.70 -1.85 0.33381672 -1.071087269 -13.36618328 -2.921087 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4720 -36100 8550
+#> initial value 998.131940
+#> iter 2 value 837.881389
+#> iter 3 value 824.970518
+#> iter 4 value 824.773721
+#> iter 5 value 789.907653
+#> iter 6 value 783.116293
+#> iter 7 value 782.119585
+#> iter 8 value 782.095984
+#> iter 9 value 782.095802
+#> iter 10 value 782.095755
+#> iter 11 value 782.095685
+#> iter 12 value 782.095645
+#> iter 12 value 782.095645
+#> iter 12 value 782.095645
+#> final value 782.095645
+#> converged
+#> This is Run number 182
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.7081670 0.1229209 -5.0081670 -1.5770791 2
+#> 2 1 -1.35 -13.20 0.1986898 -0.3736209 -1.1513102 -13.5736209 1
+#> 3 1 -2.05 -14.20 1.1498814 -0.4211925 -0.9001186 -14.6211925 1
+#> 4 1 -1.55 -3.10 2.2118599 3.7871190 0.6618599 0.6871190 2
+#> 5 1 -1.90 -3.60 0.2495999 0.9666152 -1.6504001 -2.6333848 1
+#> 6 1 -13.70 -1.85 -1.0634148 1.0455493 -14.7634148 -0.8044507 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4000 -38325 8875
+#> initial value 998.131940
+#> iter 2 value 804.144987
+#> iter 3 value 788.245081
+#> iter 4 value 785.412770
+#> iter 5 value 753.196640
+#> iter 6 value 746.034328
+#> iter 7 value 745.045788
+#> iter 8 value 745.012190
+#> iter 9 value 745.012089
+#> iter 9 value 745.012086
+#> iter 9 value 745.012085
+#> final value 745.012085
+#> converged
+#> This is Run number 183
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.6786124 1.0952084 -2.6213876 -0.6047916 2
+#> 2 1 -1.35 -13.20 1.4825373 -0.4378220 0.1325373 -13.6378220 1
+#> 3 1 -2.05 -14.20 -0.4695484 -0.6036841 -2.5195484 -14.8036841 1
+#> 4 1 -1.55 -3.10 0.6961639 -0.4794538 -0.8538361 -3.5794538 1
+#> 5 1 -1.90 -3.60 2.6250005 0.4891226 0.7250005 -3.1108774 1
+#> 6 1 -13.70 -1.85 -0.3813021 -1.0028558 -14.0813021 -2.8528558 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3480 -34350 9350
+#> initial value 998.131940
+#> iter 2 value 853.776654
+#> iter 3 value 837.129536
+#> iter 4 value 836.357016
+#> iter 5 value 798.638299
+#> iter 6 value 792.756748
+#> iter 7 value 792.012406
+#> iter 8 value 791.998110
+#> iter 9 value 791.998013
+#> iter 9 value 791.998013
+#> iter 9 value 791.998013
+#> final value 791.998013
+#> converged
+#> This is Run number 184
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.1407123 0.4640146 -1.159288 -1.2359854 1
+#> 2 1 -1.35 -13.20 -1.2726190 0.4662695 -2.622619 -12.7337305 1
+#> 3 1 -2.05 -14.20 0.3264553 0.3680698 -1.723545 -13.8319302 1
+#> 4 1 -1.55 -3.10 0.3364961 0.3373544 -1.213504 -2.7626456 1
+#> 5 1 -1.90 -3.60 -0.3338210 1.1613846 -2.233821 -2.4386154 1
+#> 6 1 -13.70 -1.85 -0.1988117 1.7433209 -13.898812 -0.1066791 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3160 -36125 9275
+#> initial value 998.131940
+#> iter 2 value 831.575299
+#> iter 3 value 813.643333
+#> iter 4 value 811.006545
+#> iter 5 value 773.793573
+#> iter 6 value 767.273635
+#> iter 7 value 766.373921
+#> iter 8 value 766.351253
+#> iter 9 value 766.351162
+#> iter 9 value 766.351157
+#> iter 9 value 766.351155
+#> final value 766.351155
+#> converged
+#> This is Run number 185
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.6093211 0.17051051 -4.909321 -1.5294895 2
+#> 2 1 -1.35 -13.20 -1.0247440 -0.87585833 -2.374744 -14.0758583 1
+#> 3 1 -2.05 -14.20 -0.1207013 1.23401130 -2.170701 -12.9659887 1
+#> 4 1 -1.55 -3.10 0.3946978 -0.82252641 -1.155302 -3.9225264 1
+#> 5 1 -1.90 -3.60 0.9873590 -0.02472111 -0.912641 -3.6247211 1
+#> 6 1 -13.70 -1.85 -1.0253997 1.39791222 -14.725400 -0.4520878 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3780 -36200 8925
+#> initial value 998.131940
+#> iter 2 value 833.674668
+#> iter 3 value 818.073852
+#> iter 4 value 816.485358
+#> iter 5 value 780.724106
+#> iter 6 value 774.048599
+#> iter 7 value 773.087242
+#> iter 8 value 773.062810
+#> iter 9 value 773.062636
+#> iter 10 value 773.062618
+#> iter 11 value 773.062604
+#> iter 12 value 773.062591
+#> iter 12 value 773.062591
+#> iter 12 value 773.062591
+#> final value 773.062591
+#> converged
+#> This is Run number 186
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.59899037 0.09841625 -0.7010096 -1.6015838 1
+#> 2 1 -1.35 -13.20 0.35889509 1.77188836 -0.9911049 -11.4281116 1
+#> 3 1 -2.05 -14.20 -0.79238620 1.43786638 -2.8423862 -12.7621336 1
+#> 4 1 -1.55 -3.10 2.30875323 2.26190276 0.7587532 -0.8380972 1
+#> 5 1 -1.90 -3.60 -0.38213279 0.95117891 -2.2821328 -2.6488211 1
+#> 6 1 -13.70 -1.85 0.07142748 5.46219756 -13.6285725 3.6121976 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3440 -37450 9725
+#> initial value 998.131940
+#> iter 2 value 810.470765
+#> iter 3 value 791.414090
+#> iter 4 value 788.775453
+#> iter 5 value 754.909216
+#> iter 6 value 748.343943
+#> iter 7 value 747.517883
+#> iter 8 value 747.489426
+#> iter 9 value 747.489342
+#> iter 9 value 747.489335
+#> iter 9 value 747.489335
+#> final value 747.489335
+#> converged
+#> This is Run number 187
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.30726852 2.7439550 -5.6072685 1.043955 2
+#> 2 1 -1.35 -13.20 2.79732421 0.8612413 1.4473242 -12.338759 1
+#> 3 1 -2.05 -14.20 -0.07355559 -1.0981094 -2.1235556 -15.298109 1
+#> 4 1 -1.55 -3.10 2.02199609 0.5251783 0.4719961 -2.574822 1
+#> 5 1 -1.90 -3.60 0.79742189 1.1033913 -1.1025781 -2.496609 1
+#> 6 1 -13.70 -1.85 3.03844165 0.4346536 -10.6615584 -1.415346 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3980 -38250 10000
+#> initial value 998.131940
+#> iter 2 value 797.251196
+#> iter 3 value 778.340303
+#> iter 4 value 776.913460
+#> iter 5 value 745.978570
+#> iter 6 value 739.434960
+#> iter 7 value 738.707180
+#> iter 8 value 738.677283
+#> iter 9 value 738.677172
+#> iter 10 value 738.677086
+#> iter 10 value 738.677085
+#> iter 11 value 738.677074
+#> iter 12 value 738.677053
+#> iter 12 value 738.677053
+#> iter 12 value 738.677051
+#> final value 738.677051
+#> converged
+#> This is Run number 188
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.6129259 0.7336342 -2.6870741 -0.9663658 2
+#> 2 1 -1.35 -13.20 0.4348537 1.1964967 -0.9151463 -12.0035033 1
+#> 3 1 -2.05 -14.20 0.7571323 -0.2164358 -1.2928677 -14.4164358 1
+#> 4 1 -1.55 -3.10 -0.8274327 1.9482812 -2.3774327 -1.1517188 2
+#> 5 1 -1.90 -3.60 -0.5047487 2.6222057 -2.4047487 -0.9777943 2
+#> 6 1 -13.70 -1.85 0.3936458 -1.0548469 -13.3063542 -2.9048469 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4360 -37200 9550
+#> initial value 998.131940
+#> iter 2 value 816.007002
+#> iter 3 value 799.498965
+#> iter 4 value 799.047470
+#> iter 5 value 766.663452
+#> iter 6 value 759.959985
+#> iter 7 value 759.206662
+#> iter 8 value 759.184378
+#> iter 9 value 759.184200
+#> iter 10 value 759.184151
+#> iter 11 value 759.184078
+#> iter 12 value 759.184040
+#> iter 12 value 759.184040
+#> iter 12 value 759.184040
+#> final value 759.184040
+#> converged
+#> This is Run number 189
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.2199693 -0.3121518 -4.0800307 -2.0121518 2
+#> 2 1 -1.35 -13.20 -0.6080093 -0.8955600 -1.9580093 -14.0955600 1
+#> 3 1 -2.05 -14.20 1.8253322 -0.5177120 -0.2246678 -14.7177120 1
+#> 4 1 -1.55 -3.10 2.1693733 1.5314840 0.6193733 -1.5685160 1
+#> 5 1 -1.90 -3.60 2.4540024 1.7316114 0.5540024 -1.8683886 1
+#> 6 1 -13.70 -1.85 1.8091803 1.2261274 -11.8908197 -0.6238726 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3920 -36850 9325
+#> initial value 998.131940
+#> iter 2 value 822.243440
+#> iter 3 value 805.634707
+#> iter 4 value 804.309539
+#> iter 5 value 770.352032
+#> iter 6 value 763.665870
+#> iter 7 value 762.809118
+#> iter 8 value 762.784664
+#> iter 9 value 762.784478
+#> iter 9 value 762.784474
+#> iter 9 value 762.784474
+#> final value 762.784474
+#> converged
+#> This is Run number 190
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.05671021 0.7887981 -5.35671021 -0.9112019 2
+#> 2 1 -1.35 -13.20 1.40840175 0.2952238 0.05840175 -12.9047762 1
+#> 3 1 -2.05 -14.20 -0.45006073 -0.2033161 -2.50006073 -14.4033161 1
+#> 4 1 -1.55 -3.10 0.24451886 0.4081298 -1.30548114 -2.6918702 1
+#> 5 1 -1.90 -3.60 -0.00451944 1.0132895 -1.90451944 -2.5867105 1
+#> 6 1 -13.70 -1.85 -0.43544900 0.3372493 -14.13544900 -1.5127507 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4480 -37850 8975
+#> initial value 998.131940
+#> iter 2 value 810.762551
+#> iter 3 value 795.831734
+#> iter 4 value 794.805716
+#> iter 5 value 763.065311
+#> iter 6 value 755.991584
+#> iter 7 value 755.072736
+#> iter 8 value 755.043376
+#> iter 9 value 755.043126
+#> iter 9 value 755.043122
+#> iter 9 value 755.043122
+#> final value 755.043122
+#> converged
+#> This is Run number 191
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.1069447 -0.861687483 -5.4069447 -2.561687 2
+#> 2 1 -1.35 -13.20 0.2553841 -0.707188296 -1.0946159 -13.907188 1
+#> 3 1 -2.05 -14.20 -0.2121117 2.075910375 -2.2621117 -12.124090 1
+#> 4 1 -1.55 -3.10 3.7337367 0.001262785 2.1837367 -3.098737 1
+#> 5 1 -1.90 -3.60 1.0879589 0.940551295 -0.8120411 -2.659449 1
+#> 6 1 -13.70 -1.85 -0.3692787 0.100683897 -14.0692787 -1.749316 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3740 -36100 9250
+#> initial value 998.131940
+#> iter 2 value 832.754483
+#> iter 3 value 816.258740
+#> iter 4 value 814.945567
+#> iter 5 value 779.481933
+#> iter 6 value 772.968803
+#> iter 7 value 772.103953
+#> iter 8 value 772.082009
+#> iter 9 value 772.081844
+#> iter 10 value 772.081821
+#> iter 11 value 772.081797
+#> iter 12 value 772.081779
+#> iter 12 value 772.081779
+#> iter 12 value 772.081779
+#> final value 772.081779
+#> converged
+#> This is Run number 192
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.889643 0.9384426 -2.4103572 -0.7615574 2
+#> 2 1 -1.35 -13.20 -0.949384 0.2556187 -2.2993840 -12.9443813 1
+#> 3 1 -2.05 -14.20 2.854072 -1.2586145 0.8040723 -15.4586145 1
+#> 4 1 -1.55 -3.10 2.437909 0.6618152 0.8879086 -2.4381848 1
+#> 5 1 -1.90 -3.60 3.340676 0.5870149 1.4406755 -3.0129851 1
+#> 6 1 -13.70 -1.85 -0.640695 1.3391416 -14.3406950 -0.5108584 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3900 -36000 8450
+#> initial value 998.131940
+#> iter 2 value 839.497235
+#> iter 3 value 825.401179
+#> iter 4 value 823.789590
+#> iter 5 value 787.293903
+#> iter 6 value 780.508610
+#> iter 7 value 779.414525
+#> iter 8 value 779.387493
+#> iter 9 value 779.387312
+#> iter 10 value 779.387297
+#> iter 11 value 779.387285
+#> iter 11 value 779.387274
+#> iter 11 value 779.387274
+#> final value 779.387274
+#> converged
+#> This is Run number 193
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.1296655 0.6655227 -4.170334 -1.0344773 2
+#> 2 1 -1.35 -13.20 -1.4871635 4.6415182 -2.837164 -8.5584818 1
+#> 3 1 -2.05 -14.20 -0.5602957 0.5461292 -2.610296 -13.6538708 1
+#> 4 1 -1.55 -3.10 -0.8780385 1.2543267 -2.428038 -1.8456733 2
+#> 5 1 -1.90 -3.60 -0.1904855 0.6535269 -2.090486 -2.9464731 1
+#> 6 1 -13.70 -1.85 -0.5289239 1.2634729 -14.228924 -0.5865271 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -39025 10500
+#> initial value 998.131940
+#> iter 2 value 781.584093
+#> iter 3 value 761.011107
+#> iter 4 value 759.769513
+#> iter 5 value 730.643490
+#> iter 6 value 724.433244
+#> iter 7 value 723.762928
+#> iter 8 value 723.727403
+#> iter 9 value 723.727290
+#> iter 10 value 723.727141
+#> iter 11 value 723.727036
+#> iter 12 value 723.726936
+#> iter 12 value 723.726936
+#> iter 12 value 723.726936
+#> final value 723.726936
+#> converged
+#> This is Run number 194
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.23919641 0.60915743 -5.5391964 -1.0908426 2
+#> 2 1 -1.35 -13.20 0.43757217 2.23971977 -0.9124278 -10.9602802 1
+#> 3 1 -2.05 -14.20 0.08422347 0.06815142 -1.9657765 -14.1318486 1
+#> 4 1 -1.55 -3.10 1.76689821 -1.20261414 0.2168982 -4.3026141 1
+#> 5 1 -1.90 -3.60 -0.45387017 -0.32362583 -2.3538702 -3.9236258 1
+#> 6 1 -13.70 -1.85 2.25799764 1.36106535 -11.4420024 -0.4889346 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3460 -37250 9825
+#> initial value 998.131940
+#> iter 2 value 812.606380
+#> iter 3 value 793.413501
+#> iter 4 value 791.130548
+#> iter 5 value 757.259102
+#> iter 6 value 750.776992
+#> iter 7 value 749.983704
+#> iter 8 value 749.956989
+#> iter 9 value 749.956886
+#> iter 10 value 749.956873
+#> iter 11 value 749.956861
+#> iter 11 value 749.956859
+#> iter 11 value 749.956859
+#> final value 749.956859
+#> converged
+#> This is Run number 195
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.1640563 0.4698106 -3.1359437 -1.230189 2
+#> 2 1 -1.35 -13.20 0.3050833 0.5720567 -1.0449167 -12.627943 1
+#> 3 1 -2.05 -14.20 1.9473024 0.6651328 -0.1026976 -13.534867 1
+#> 4 1 -1.55 -3.10 -0.7709440 0.4254145 -2.3209440 -2.674585 1
+#> 5 1 -1.90 -3.60 2.6084016 -0.2851632 0.7084016 -3.885163 1
+#> 6 1 -13.70 -1.85 0.2317721 -0.9962865 -13.4682279 -2.846286 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3320 -35725 9175
+#> initial value 998.131940
+#> iter 2 value 837.726141
+#> iter 3 value 820.641548
+#> iter 4 value 818.597218
+#> iter 5 value 781.400045
+#> iter 6 value 774.964076
+#> iter 7 value 774.068382
+#> iter 8 value 774.047010
+#> iter 9 value 774.046888
+#> iter 9 value 774.046878
+#> iter 9 value 774.046874
+#> final value 774.046874
+#> converged
+#> This is Run number 196
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.59075958 0.6728028 -4.8907596 -1.027197 2
+#> 2 1 -1.35 -13.20 -0.11832924 -0.4226595 -1.4683292 -13.622659 1
+#> 3 1 -2.05 -14.20 1.94149976 0.1506505 -0.1085002 -14.049349 1
+#> 4 1 -1.55 -3.10 0.70123885 0.8262083 -0.8487611 -2.273792 1
+#> 5 1 -1.90 -3.60 0.77790346 1.7306000 -1.1220965 -1.869400 1
+#> 6 1 -13.70 -1.85 -0.05011674 0.2597037 -13.7501167 -1.590296 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3540 -35725 9525
+#> initial value 998.131940
+#> iter 2 value 835.532202
+#> iter 3 value 818.004039
+#> iter 4 value 816.742454
+#> iter 5 value 780.823187
+#> iter 6 value 774.543344
+#> iter 7 value 773.756076
+#> iter 8 value 773.736869
+#> iter 9 value 773.736729
+#> iter 9 value 773.736726
+#> iter 9 value 773.736726
+#> final value 773.736726
+#> converged
+#> This is Run number 197
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.4112906 0.1414411 -3.888709380 -1.558559 2
+#> 2 1 -1.35 -13.20 1.7645593 0.6163383 0.414559328 -12.583662 1
+#> 3 1 -2.05 -14.20 -0.1358423 0.6371863 -2.185842271 -13.562814 1
+#> 4 1 -1.55 -3.10 3.3842107 -0.7890904 1.834210730 -3.889090 1
+#> 5 1 -1.90 -3.60 1.9037510 -0.3234435 0.003751003 -3.923443 1
+#> 6 1 -13.70 -1.85 -0.5284044 -0.1326573 -14.228404420 -1.982657 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3560 -38650 10350
+#> initial value 998.131940
+#> iter 2 value 788.125143
+#> iter 3 value 767.035810
+#> iter 4 value 764.443993
+#> iter 5 value 733.411191
+#> iter 6 value 727.159537
+#> iter 7 value 726.418306
+#> iter 8 value 726.380807
+#> iter 9 value 726.380747
+#> iter 10 value 726.380698
+#> iter 11 value 726.380650
+#> iter 12 value 726.380632
+#> iter 12 value 726.380632
+#> iter 12 value 726.380632
+#> final value 726.380632
+#> converged
+#> This is Run number 198
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.30103959 -0.3168884 -3.99896041 -2.016888 2
+#> 2 1 -1.35 -13.20 1.30331404 1.1350711 -0.04668596 -12.064929 1
+#> 3 1 -2.05 -14.20 -0.88678508 -0.3365831 -2.93678508 -14.536583 1
+#> 4 1 -1.55 -3.10 -0.09690847 0.5947993 -1.64690847 -2.505201 1
+#> 5 1 -1.90 -3.60 0.41753533 -0.4545796 -1.48246467 -4.054580 1
+#> 6 1 -13.70 -1.85 0.42528055 0.7382519 -13.27471945 -1.111748 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3820 -35975 8925
+#> initial value 998.131940
+#> iter 2 value 836.681547
+#> iter 3 value 821.255252
+#> iter 4 value 819.903485
+#> iter 5 value 783.951575
+#> iter 6 value 777.347392
+#> iter 7 value 776.398890
+#> iter 8 value 776.375485
+#> iter 9 value 776.375312
+#> iter 10 value 776.375291
+#> iter 11 value 776.375270
+#> iter 12 value 776.375253
+#> iter 12 value 776.375253
+#> iter 12 value 776.375253
+#> final value 776.375253
+#> converged
+#> This is Run number 199
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.99682657 0.4409783 -2.3031734 -1.259022 2
+#> 2 1 -1.35 -13.20 2.19257267 1.2190909 0.8425727 -11.980909 1
+#> 3 1 -2.05 -14.20 0.02250784 0.3611862 -2.0274922 -13.838814 1
+#> 4 1 -1.55 -3.10 -0.38788523 5.1885497 -1.9378852 2.088550 2
+#> 5 1 -1.90 -3.60 0.32270111 -0.1474153 -1.5772989 -3.747415 1
+#> 6 1 -13.70 -1.85 -0.16394863 0.4029355 -13.8639486 -1.447064 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3400 -36000 10075
+#> initial value 998.131940
+#> iter 2 value 827.737808
+#> iter 3 value 808.206384
+#> iter 4 value 806.962259
+#> iter 5 value 771.931953
+#> iter 6 value 765.839274
+#> iter 7 value 765.157376
+#> iter 8 value 765.138795
+#> iter 9 value 765.138676
+#> iter 10 value 765.138646
+#> iter 11 value 765.138610
+#> iter 12 value 765.138598
+#> iter 12 value 765.138598
+#> iter 12 value 765.138598
+#> final value 765.138598
+#> converged
+#> This is Run number 200
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.14583210 -0.6488895 -4.44583210 -2.348889 2
+#> 2 1 -1.35 -13.20 1.32112762 0.3753014 -0.02887238 -12.824699 1
+#> 3 1 -2.05 -14.20 0.84925061 -0.1032309 -1.20074939 -14.303231 1
+#> 4 1 -1.55 -3.10 1.65096109 -0.1975839 0.10096109 -3.297584 1
+#> 5 1 -1.90 -3.60 0.36575507 -0.2223931 -1.53424493 -3.822393 1
+#> 6 1 -13.70 -1.85 -0.09903494 -0.1497176 -13.79903494 -1.999718 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3780 -38050 8375
+#> initial value 998.131940
+#> iter 2 value 811.252800
+#> iter 3 value 796.085579
+#> iter 4 value 792.409926
+#> iter 5 value 757.947912
+#> iter 6 value 750.544233
+#> iter 7 value 749.429719
+#> iter 8 value 749.397696
+#> iter 9 value 749.397673
+#> iter 9 value 749.397665
+#> iter 9 value 749.397664
+#> final value 749.397664
+#> converged
+#> This is Run number 201
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.6533260 0.6452891 -4.9533260 -1.0547109 2
+#> 2 1 -1.35 -13.20 2.7881885 -1.0209463 1.4381885 -14.2209463 1
+#> 3 1 -2.05 -14.20 1.3812093 0.9460280 -0.6687907 -13.2539720 1
+#> 4 1 -1.55 -3.10 0.2285581 2.4001456 -1.3214419 -0.6998544 2
+#> 5 1 -1.90 -3.60 -0.6076161 -0.6550816 -2.5076161 -4.2550816 1
+#> 6 1 -13.70 -1.85 -0.2827257 0.2134240 -13.9827257 -1.6365760 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3920 -36100 8750
+#> initial value 998.131940
+#> iter 2 value 836.271203
+#> iter 3 value 821.446526
+#> iter 4 value 820.072587
+#> iter 5 value 784.239522
+#> iter 6 value 777.531959
+#> iter 7 value 776.529810
+#> iter 8 value 776.504697
+#> iter 9 value 776.504512
+#> iter 10 value 776.504491
+#> iter 11 value 776.504471
+#> iter 12 value 776.504454
+#> iter 12 value 776.504454
+#> iter 12 value 776.504454
+#> final value 776.504454
+#> converged
+#> This is Run number 202
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.5646966 1.579859 -2.7353034 -0.120141204 2
+#> 2 1 -1.35 -13.20 -1.2765367 -0.458419 -2.6265367 -13.658419004 1
+#> 3 1 -2.05 -14.20 -0.8204197 3.942049 -2.8704197 -10.257951172 1
+#> 4 1 -1.55 -3.10 1.0276787 3.097936 -0.5223213 -0.002064339 2
+#> 5 1 -1.90 -3.60 0.3627660 3.259284 -1.5372340 -0.340716411 2
+#> 6 1 -13.70 -1.85 0.3475239 1.479565 -13.3524761 -0.370435097 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3420 -36775 9200
+#> initial value 998.131940
+#> iter 2 value 823.647216
+#> iter 3 value 806.251432
+#> iter 4 value 803.605374
+#> iter 5 value 767.909157
+#> iter 6 value 761.188727
+#> iter 7 value 760.260245
+#> iter 8 value 760.234500
+#> iter 9 value 760.234393
+#> iter 9 value 760.234388
+#> iter 9 value 760.234386
+#> final value 760.234386
+#> converged
+#> This is Run number 203
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.66183800 7.37159108 -4.9618380 5.671591 2
+#> 2 1 -1.35 -13.20 0.08693553 0.37182639 -1.2630645 -12.828174 1
+#> 3 1 -2.05 -14.20 0.64161445 -0.36128472 -1.4083856 -14.561285 1
+#> 4 1 -1.55 -3.10 0.04400015 -0.20457514 -1.5059998 -3.304575 1
+#> 5 1 -1.90 -3.60 1.50554365 2.52569099 -0.3944564 -1.074309 1
+#> 6 1 -13.70 -1.85 0.59155072 0.07954644 -13.1084493 -1.770454 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4000 -36525 9700
+#> initial value 998.131940
+#> iter 2 value 824.055657
+#> iter 3 value 806.669893
+#> iter 4 value 806.019091
+#> iter 5 value 772.270787
+#> iter 6 value 765.815912
+#> iter 7 value 765.082586
+#> iter 8 value 765.062599
+#> iter 9 value 765.062443
+#> iter 10 value 765.062409
+#> iter 11 value 765.062351
+#> iter 12 value 765.062315
+#> iter 12 value 765.062315
+#> iter 12 value 765.062315
+#> final value 765.062315
+#> converged
+#> This is Run number 204
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.5252422 -1.05338328 -4.8252422 -2.753383 2
+#> 2 1 -1.35 -13.20 1.8106731 2.79849118 0.4606731 -10.401509 1
+#> 3 1 -2.05 -14.20 0.2018736 -0.06624084 -1.8481264 -14.266241 1
+#> 4 1 -1.55 -3.10 1.8042200 -0.13020604 0.2542200 -3.230206 1
+#> 5 1 -1.90 -3.60 1.0637271 1.65209518 -0.8362729 -1.947905 1
+#> 6 1 -13.70 -1.85 -0.6483979 3.09616050 -14.3483979 1.246161 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3100 -35125 9900
+#> initial value 998.131940
+#> iter 2 value 839.903628
+#> iter 3 value 820.566677
+#> iter 4 value 819.082398
+#> iter 5 value 782.134583
+#> iter 6 value 776.224171
+#> iter 7 value 775.527625
+#> iter 8 value 775.511444
+#> iter 9 value 775.511342
+#> iter 9 value 775.511335
+#> iter 9 value 775.511335
+#> final value 775.511335
+#> converged
+#> This is Run number 205
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.6933331 -0.3994896 -0.6066669 -2.0994896 1
+#> 2 1 -1.35 -13.20 -0.1588746 2.9637742 -1.5088746 -10.2362258 1
+#> 3 1 -2.05 -14.20 0.9859338 1.0474805 -1.0640662 -13.1525195 1
+#> 4 1 -1.55 -3.10 2.4348921 -0.9991915 0.8848921 -4.0991915 1
+#> 5 1 -1.90 -3.60 -1.1317975 -0.2797519 -3.0317975 -3.8797519 1
+#> 6 1 -13.70 -1.85 0.7794065 2.4509156 -12.9205935 0.6009156 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3360 -37300 9725
+#> initial value 998.131940
+#> iter 2 value 812.509348
+#> iter 3 value 793.321108
+#> iter 4 value 790.589627
+#> iter 5 value 756.271838
+#> iter 6 value 749.733949
+#> iter 7 value 748.905035
+#> iter 8 value 748.877210
+#> iter 9 value 748.877130
+#> iter 9 value 748.877126
+#> iter 9 value 748.877126
+#> final value 748.877126
+#> converged
+#> This is Run number 206
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.2684508 3.614909444 -4.0315492 1.9149094 2
+#> 2 1 -1.35 -13.20 -0.6533222 1.571643861 -2.0033222 -11.6283561 1
+#> 3 1 -2.05 -14.20 2.8940629 0.409543203 0.8440629 -13.7904568 1
+#> 4 1 -1.55 -3.10 -0.6746242 2.524116891 -2.2246242 -0.5758831 2
+#> 5 1 -1.90 -3.60 0.8233985 -1.035685320 -1.0766015 -4.6356853 1
+#> 6 1 -13.70 -1.85 -0.6388348 0.002127276 -14.3388348 -1.8478727 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3860 -36875 8700
+#> initial value 998.131940
+#> iter 2 value 826.069019
+#> iter 3 value 810.917637
+#> iter 4 value 808.796637
+#> iter 5 value 773.778670
+#> iter 6 value 766.814086
+#> iter 7 value 765.771001
+#> iter 8 value 765.742622
+#> iter 9 value 765.742446
+#> iter 9 value 765.742434
+#> iter 9 value 765.742430
+#> final value 765.742430
+#> converged
+#> This is Run number 207
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.7501617 -0.83923012 -5.05016172 -2.539230 2
+#> 2 1 -1.35 -13.20 1.5763107 0.56840691 0.22631071 -12.631593 1
+#> 3 1 -2.05 -14.20 0.3925555 -1.24018686 -1.65744455 -15.440187 1
+#> 4 1 -1.55 -3.10 3.9200700 -0.42710596 2.37007005 -3.527106 1
+#> 5 1 -1.90 -3.60 1.8955329 -0.03922801 -0.00446708 -3.639228 1
+#> 6 1 -13.70 -1.85 0.6924011 -0.69204902 -13.00759892 -2.542049 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3620 -38550 10050
+#> initial value 998.131940
+#> iter 2 value 792.028878
+#> iter 3 value 772.006290
+#> iter 4 value 769.292164
+#> iter 5 value 737.904569
+#> iter 6 value 731.446058
+#> iter 7 value 730.665095
+#> iter 8 value 730.629031
+#> iter 9 value 730.628977
+#> iter 10 value 730.628941
+#> iter 11 value 730.628916
+#> iter 11 value 730.628913
+#> iter 11 value 730.628913
+#> final value 730.628913
+#> converged
+#> This is Run number 208
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.7402572 1.2882237 -5.0402572 -0.4117763 2
+#> 2 1 -1.35 -13.20 0.9961523 0.1958080 -0.3538477 -13.0041920 1
+#> 3 1 -2.05 -14.20 0.9238502 2.2370581 -1.1261498 -11.9629419 1
+#> 4 1 -1.55 -3.10 -0.6080313 1.8197996 -2.1580313 -1.2802004 2
+#> 5 1 -1.90 -3.60 -0.6585402 -1.3645289 -2.5585402 -4.9645289 1
+#> 6 1 -13.70 -1.85 -0.2225789 0.3202181 -13.9225789 -1.5297819 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2760 -36225 10700
+#> initial value 998.131940
+#> iter 2 value 818.949819
+#> iter 3 value 795.850434
+#> iter 4 value 793.483467
+#> iter 5 value 757.902959
+#> iter 6 value 752.169003
+#> iter 7 value 751.528788
+#> iter 8 value 751.506735
+#> iter 9 value 751.506676
+#> iter 10 value 751.506653
+#> iter 10 value 751.506652
+#> iter 10 value 751.506652
+#> final value 751.506652
+#> converged
+#> This is Run number 209
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.12574737 4.3638525 -4.4257474 2.6638525 2
+#> 2 1 -1.35 -13.20 0.63409184 0.2590826 -0.7159082 -12.9409174 1
+#> 3 1 -2.05 -14.20 4.20181099 1.0736009 2.1518110 -13.1263991 1
+#> 4 1 -1.55 -3.10 0.71116766 0.5195269 -0.8388323 -2.5804731 1
+#> 5 1 -1.90 -3.60 -0.34076178 0.4027422 -2.2407618 -3.1972578 1
+#> 6 1 -13.70 -1.85 -0.08476072 1.9454632 -13.7847607 0.0954632 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3620 -36375 10375
+#> initial value 998.131940
+#> iter 2 value 820.658901
+#> iter 3 value 800.536262
+#> iter 4 value 799.788070
+#> iter 5 value 766.117832
+#> iter 6 value 760.065883
+#> iter 7 value 759.451991
+#> iter 8 value 759.433722
+#> iter 9 value 759.433618
+#> iter 10 value 759.433532
+#> iter 11 value 759.433482
+#> iter 11 value 759.433477
+#> iter 11 value 759.433477
+#> final value 759.433477
+#> converged
+#> This is Run number 210
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.8062792 0.2643496 -3.4937208 -1.435650 2
+#> 2 1 -1.35 -13.20 0.7612458 2.3567243 -0.5887542 -10.843276 1
+#> 3 1 -2.05 -14.20 -0.7898726 2.1652429 -2.8398726 -12.034757 1
+#> 4 1 -1.55 -3.10 -0.1487708 -0.5922700 -1.6987708 -3.692270 1
+#> 5 1 -1.90 -3.60 1.1566839 0.7340265 -0.7433161 -2.865974 1
+#> 6 1 -13.70 -1.85 0.5781394 0.1573897 -13.1218606 -1.692610 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2580 -35950 11175
+#> initial value 998.131940
+#> iter 2 value 818.369282
+#> iter 3 value 793.385821
+#> iter 4 value 791.264847
+#> iter 5 value 755.846774
+#> iter 6 value 750.472345
+#> iter 7 value 749.909478
+#> iter 8 value 749.888845
+#> iter 9 value 749.888794
+#> iter 10 value 749.888750
+#> iter 10 value 749.888749
+#> iter 10 value 749.888739
+#> final value 749.888739
+#> converged
+#> This is Run number 211
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.0640870 0.05862392 -3.2359130 -1.641376 2
+#> 2 1 -1.35 -13.20 0.6266215 -0.60112828 -0.7233785 -13.801128 1
+#> 3 1 -2.05 -14.20 -0.9333785 -0.55901653 -2.9833785 -14.759017 1
+#> 4 1 -1.55 -3.10 -0.2449084 0.27457547 -1.7949084 -2.825425 1
+#> 5 1 -1.90 -3.60 1.2389147 3.72261199 -0.6610853 0.122612 2
+#> 6 1 -13.70 -1.85 1.1278029 -0.14813332 -12.5721971 -1.998133 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4240 -36675 9075
+#> initial value 998.131940
+#> iter 2 value 826.572081
+#> iter 3 value 811.326189
+#> iter 4 value 810.551122
+#> iter 5 value 776.607241
+#> iter 6 value 769.842737
+#> iter 7 value 768.949526
+#> iter 8 value 768.925522
+#> iter 9 value 768.925315
+#> iter 10 value 768.925279
+#> iter 11 value 768.925234
+#> iter 12 value 768.925202
+#> iter 12 value 768.925202
+#> iter 12 value 768.925202
+#> final value 768.925202
+#> converged
+#> This is Run number 212
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.6066032 0.7354589 -4.906603 -0.9645411 2
+#> 2 1 -1.35 -13.20 -0.6526036 0.1543255 -2.002604 -13.0456745 1
+#> 3 1 -2.05 -14.20 0.7780677 0.4104661 -1.271932 -13.7895339 1
+#> 4 1 -1.55 -3.10 5.9456248 -0.5643607 4.395625 -3.6643607 1
+#> 5 1 -1.90 -3.60 -0.4517407 0.5099507 -2.351741 -3.0900493 1
+#> 6 1 -13.70 -1.85 2.0092158 -0.3911551 -11.690784 -2.2411551 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2940 -36575 11125
+#> initial value 998.131940
+#> iter 2 value 811.008555
+#> iter 3 value 786.840056
+#> iter 4 value 785.135336
+#> iter 5 value 751.223882
+#> iter 6 value 745.671112
+#> iter 7 value 745.099681
+#> iter 8 value 745.077007
+#> iter 9 value 745.076945
+#> iter 10 value 745.076856
+#> iter 10 value 745.076854
+#> iter 10 value 745.076854
+#> final value 745.076854
+#> converged
+#> This is Run number 213
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.8812187 0.39053711 -3.4187813 -1.3094629 2
+#> 2 1 -1.35 -13.20 0.2072932 0.88448990 -1.1427068 -12.3155101 1
+#> 3 1 -2.05 -14.20 -0.6412890 -0.95879738 -2.6912890 -15.1587974 1
+#> 4 1 -1.55 -3.10 0.8749405 -0.08967638 -0.6750595 -3.1896764 1
+#> 5 1 -1.90 -3.60 1.4788592 0.38670701 -0.4211408 -3.2132930 1
+#> 6 1 -13.70 -1.85 1.9726908 2.22999142 -11.7273092 0.3799914 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2540 -34575 9475
+#> initial value 998.131940
+#> iter 2 value 848.822256
+#> iter 3 value 829.508671
+#> iter 4 value 827.089213
+#> iter 5 value 786.539742
+#> iter 6 value 780.585492
+#> iter 7 value 779.797380
+#> iter 8 value 779.781485
+#> iter 9 value 779.781432
+#> iter 9 value 779.781428
+#> iter 9 value 779.781427
+#> final value 779.781427
+#> converged
+#> This is Run number 214
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.08219672 0.1162563 -4.21780328 -1.583744 2
+#> 2 1 -1.35 -13.20 1.26503219 0.9592513 -0.08496781 -12.240749 1
+#> 3 1 -2.05 -14.20 1.24194081 0.5569182 -0.80805919 -13.643082 1
+#> 4 1 -1.55 -3.10 -0.81669457 -1.1971667 -2.36669457 -4.297167 1
+#> 5 1 -1.90 -3.60 4.06984019 0.5601332 2.16984019 -3.039867 1
+#> 6 1 -13.70 -1.85 1.90666615 -0.1915622 -11.79333385 -2.041562 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3620 -35775 9475
+#> initial value 998.131940
+#> iter 2 value 835.320709
+#> iter 3 value 818.082538
+#> iter 4 value 816.913536
+#> iter 5 value 781.151446
+#> iter 6 value 774.831853
+#> iter 7 value 774.035634
+#> iter 8 value 774.016198
+#> iter 9 value 774.016052
+#> iter 9 value 774.016049
+#> iter 9 value 774.016049
+#> final value 774.016049
+#> converged
+#> This is Run number 215
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.72209815 0.2520467 -5.0220982 -1.447953 2
+#> 2 1 -1.35 -13.20 2.20509505 -0.6725345 0.8550951 -13.872534 1
+#> 3 1 -2.05 -14.20 0.06349949 -0.7869451 -1.9865005 -14.986945 1
+#> 4 1 -1.55 -3.10 0.25845775 -0.6780321 -1.2915423 -3.778032 1
+#> 5 1 -1.90 -3.60 -1.11263590 -0.5274145 -3.0126359 -4.127414 1
+#> 6 1 -13.70 -1.85 -1.43949917 6.6154654 -15.1394992 4.765465 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3560 -35875 10150
+#> initial value 998.131940
+#> iter 2 value 828.974939
+#> iter 3 value 809.602660
+#> iter 4 value 808.813073
+#> iter 5 value 774.122479
+#> iter 6 value 768.079052
+#> iter 7 value 767.437206
+#> iter 8 value 767.420451
+#> iter 9 value 767.420338
+#> iter 10 value 767.420292
+#> iter 11 value 767.420240
+#> iter 12 value 767.420227
+#> iter 12 value 767.420227
+#> iter 12 value 767.420227
+#> final value 767.420227
+#> converged
+#> This is Run number 216
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.0584796 0.2380571 -2.241520 -1.461943 2
+#> 2 1 -1.35 -13.20 -0.6799215 -0.8472607 -2.029921 -14.047261 1
+#> 3 1 -2.05 -14.20 -0.7797568 0.1315187 -2.829757 -14.068481 1
+#> 4 1 -1.55 -3.10 0.7064970 -0.0826091 -0.843503 -3.182609 1
+#> 5 1 -1.90 -3.60 -0.4496470 2.3966881 -2.349647 -1.203312 2
+#> 6 1 -13.70 -1.85 -0.1920478 0.5378940 -13.892048 -1.312106 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -36275 8000
+#> initial value 998.131940
+#> iter 2 value 838.950418
+#> iter 3 value 827.033458
+#> iter 4 value 826.158812
+#> iter 5 value 790.738825
+#> iter 6 value 783.767987
+#> iter 7 value 782.529761
+#> iter 8 value 782.497275
+#> iter 9 value 782.497031
+#> iter 9 value 782.497025
+#> iter 9 value 782.497025
+#> final value 782.497025
+#> converged
+#> This is Run number 217
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.3309666 3.1614429 -3.9690334 1.461443 2
+#> 2 1 -1.35 -13.20 -0.2058103 0.4614235 -1.5558103 -12.738577 1
+#> 3 1 -2.05 -14.20 1.8897949 2.1891063 -0.1602051 -12.010894 1
+#> 4 1 -1.55 -3.10 0.5685065 1.7185234 -0.9814935 -1.381477 1
+#> 5 1 -1.90 -3.60 1.3611684 -0.8248428 -0.5388316 -4.424843 1
+#> 6 1 -13.70 -1.85 -0.6745246 0.7714318 -14.3745246 -1.078568 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4020 -35700 9125
+#> initial value 998.131940
+#> iter 2 value 839.050901
+#> iter 3 value 823.587152
+#> iter 4 value 822.926568
+#> iter 5 value 787.306719
+#> iter 6 value 780.855852
+#> iter 7 value 779.999925
+#> iter 8 value 779.980065
+#> iter 9 value 779.979907
+#> iter 10 value 779.979873
+#> iter 11 value 779.979825
+#> iter 12 value 779.979797
+#> iter 12 value 779.979797
+#> iter 12 value 779.979797
+#> final value 779.979797
+#> converged
+#> This is Run number 218
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.92738352 -0.3739636 -5.227384 -2.073964 2
+#> 2 1 -1.35 -13.20 0.08804087 1.3153167 -1.261959 -11.884683 1
+#> 3 1 -2.05 -14.20 0.45566109 0.3450519 -1.594339 -13.854948 1
+#> 4 1 -1.55 -3.10 -0.18452078 0.7062062 -1.734521 -2.393794 1
+#> 5 1 -1.90 -3.60 0.42772031 -0.6712709 -1.472280 -4.271271 1
+#> 6 1 -13.70 -1.85 0.17492103 0.1470032 -13.525079 -1.702997 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3640 -35925 9800
+#> initial value 998.131940
+#> iter 2 value 831.029661
+#> iter 3 value 812.850342
+#> iter 4 value 811.908864
+#> iter 5 value 776.882484
+#> iter 6 value 770.658252
+#> iter 7 value 769.939985
+#> iter 8 value 769.921719
+#> iter 9 value 769.921584
+#> iter 10 value 769.921562
+#> iter 11 value 769.921520
+#> iter 12 value 769.921489
+#> iter 12 value 769.921489
+#> iter 12 value 769.921489
+#> final value 769.921489
+#> converged
+#> This is Run number 219
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.1135305 0.3719639 -2.1864695 -1.328036 2
+#> 2 1 -1.35 -13.20 0.3443602 0.4960190 -1.0056398 -12.703981 1
+#> 3 1 -2.05 -14.20 0.4388315 2.0680731 -1.6111685 -12.131927 1
+#> 4 1 -1.55 -3.10 0.2042597 -0.1496830 -1.3457403 -3.249683 1
+#> 5 1 -1.90 -3.60 2.5499673 0.4994260 0.6499673 -3.100574 1
+#> 6 1 -13.70 -1.85 -0.7092704 2.9803116 -14.4092704 1.130312 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3400 -38075 10950
+#> initial value 998.131940
+#> iter 2 value 791.747133
+#> iter 3 value 768.652305
+#> iter 4 value 766.868469
+#> iter 5 value 735.470316
+#> iter 6 value 729.631311
+#> iter 7 value 728.995682
+#> iter 8 value 728.963417
+#> iter 9 value 728.963337
+#> iter 10 value 728.963224
+#> iter 11 value 728.963151
+#> iter 12 value 728.963113
+#> iter 12 value 728.963113
+#> iter 12 value 728.963113
+#> final value 728.963113
+#> converged
+#> This is Run number 220
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.4471571 1.02015682 -4.7471571 -0.6798432 2
+#> 2 1 -1.35 -13.20 1.8409583 -0.94737652 0.4909583 -14.1473765 1
+#> 3 1 -2.05 -14.20 0.1186642 1.82735592 -1.9313358 -12.3726441 1
+#> 4 1 -1.55 -3.10 -0.6682765 -0.90161060 -2.2182765 -4.0016106 1
+#> 5 1 -1.90 -3.60 1.5300389 0.07489096 -0.3699611 -3.5251090 1
+#> 6 1 -13.70 -1.85 3.8939284 0.77324876 -9.8060716 -1.0767512 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3640 -38050 9600
+#> initial value 998.131940
+#> iter 2 value 802.877292
+#> iter 3 value 784.379510
+#> iter 4 value 781.620233
+#> iter 5 value 748.967216
+#> iter 6 value 742.249197
+#> iter 7 value 741.397853
+#> iter 8 value 741.365884
+#> iter 9 value 741.365811
+#> iter 9 value 741.365803
+#> iter 9 value 741.365802
+#> final value 741.365802
+#> converged
+#> This is Run number 221
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.6269404 0.83958799 -2.6730596 -0.860412 2
+#> 2 1 -1.35 -13.20 0.8044372 1.28190338 -0.5455628 -11.918097 1
+#> 3 1 -2.05 -14.20 -0.2891683 2.06494947 -2.3391683 -12.135051 1
+#> 4 1 -1.55 -3.10 1.8067369 -0.08900203 0.2567369 -3.189002 1
+#> 5 1 -1.90 -3.60 -0.7227498 -0.19878400 -2.6227498 -3.798784 1
+#> 6 1 -13.70 -1.85 -0.7853681 1.10916796 -14.4853681 -0.740832 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2140 -33175 10525
+#> initial value 998.131940
+#> iter 2 value 856.461371
+#> iter 3 value 833.741089
+#> iter 4 value 832.165864
+#> iter 5 value 792.628913
+#> iter 6 value 787.701084
+#> iter 7 value 787.197866
+#> iter 8 value 787.188423
+#> iter 9 value 787.188382
+#> iter 9 value 787.188375
+#> iter 9 value 787.188375
+#> final value 787.188375
+#> converged
+#> This is Run number 222
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.77719981 1.9765787 -3.5228002 0.2765787 2
+#> 2 1 -1.35 -13.20 1.13025418 -0.5660023 -0.2197458 -13.7660023 1
+#> 3 1 -2.05 -14.20 -0.83915119 -0.2010743 -2.8891512 -14.4010743 1
+#> 4 1 -1.55 -3.10 -1.43720760 1.1220985 -2.9872076 -1.9779015 2
+#> 5 1 -1.90 -3.60 -0.02329635 0.9339090 -1.9232964 -2.6660910 1
+#> 6 1 -13.70 -1.85 -0.70750733 1.4247621 -14.4075073 -0.4252379 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -37875 9150
+#> initial value 998.131940
+#> iter 2 value 809.212419
+#> iter 3 value 793.887741
+#> iter 4 value 793.096514
+#> iter 5 value 761.640703
+#> iter 6 value 754.632576
+#> iter 7 value 753.772062
+#> iter 8 value 753.744226
+#> iter 9 value 753.743991
+#> iter 10 value 753.743967
+#> iter 11 value 753.743917
+#> iter 12 value 753.743869
+#> iter 12 value 753.743869
+#> iter 12 value 753.743869
+#> final value 753.743869
+#> converged
+#> This is Run number 223
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.3231134 2.02390345 -0.9768866 0.3239034 2
+#> 2 1 -1.35 -13.20 0.4247412 1.04850697 -0.9252588 -12.1514930 1
+#> 3 1 -2.05 -14.20 -0.7487330 0.06029126 -2.7987330 -14.1397087 1
+#> 4 1 -1.55 -3.10 -0.6201272 1.86549894 -2.1701272 -1.2345011 2
+#> 5 1 -1.90 -3.60 -0.1691942 1.03665437 -2.0691942 -2.5633456 1
+#> 6 1 -13.70 -1.85 0.8411649 -0.03021697 -12.8588351 -1.8802170 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3600 -37400 9750
+#> initial value 998.131940
+#> iter 2 value 811.183801
+#> iter 3 value 792.470932
+#> iter 4 value 790.367922
+#> iter 5 value 756.976960
+#> iter 6 value 750.418846
+#> iter 7 value 749.618522
+#> iter 8 value 749.591373
+#> iter 9 value 749.591255
+#> iter 10 value 749.591239
+#> iter 11 value 749.591224
+#> iter 11 value 749.591221
+#> iter 11 value 749.591221
+#> final value 749.591221
+#> converged
+#> This is Run number 224
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.006959831 -0.08693069 -4.2930402 -1.786931 2
+#> 2 1 -1.35 -13.20 -1.321261378 1.60796045 -2.6712614 -11.592040 1
+#> 3 1 -2.05 -14.20 3.287725389 1.28557196 1.2377254 -12.914428 1
+#> 4 1 -1.55 -3.10 1.772767734 -0.50379072 0.2227677 -3.603791 1
+#> 5 1 -1.90 -3.60 0.591352322 -0.13205167 -1.3086477 -3.732052 1
+#> 6 1 -13.70 -1.85 1.009752348 -0.12906061 -12.6902477 -1.979061 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3880 -33975 7675
+#> initial value 998.131940
+#> iter 2 value 869.125642
+#> iter 3 value 857.540078
+#> iter 4 value 856.533504
+#> iter 5 value 816.279435
+#> iter 6 value 810.067715
+#> iter 7 value 808.896827
+#> iter 8 value 808.873050
+#> iter 9 value 808.872922
+#> iter 10 value 808.872900
+#> iter 11 value 808.872869
+#> iter 11 value 808.872858
+#> iter 11 value 808.872858
+#> final value 808.872858
+#> converged
+#> This is Run number 225
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.8582556 -1.1285466 -5.158256 -2.828547 2
+#> 2 1 -1.35 -13.20 0.2487588 4.6673744 -1.101241 -8.532626 1
+#> 3 1 -2.05 -14.20 0.4263128 -0.1830761 -1.623687 -14.383076 1
+#> 4 1 -1.55 -3.10 -1.1720298 1.2227553 -2.722030 -1.877245 2
+#> 5 1 -1.90 -3.60 -1.4226251 -1.1842498 -3.322625 -4.784250 1
+#> 6 1 -13.70 -1.85 1.9961816 0.3189068 -11.703818 -1.531093 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3300 -37050 9825
+#> initial value 998.131940
+#> iter 2 value 815.222526
+#> iter 3 value 795.723886
+#> iter 4 value 793.165496
+#> iter 5 value 758.542943
+#> iter 6 value 752.105610
+#> iter 7 value 751.303231
+#> iter 8 value 751.277015
+#> iter 9 value 751.276928
+#> iter 9 value 751.276922
+#> iter 9 value 751.276922
+#> final value 751.276922
+#> converged
+#> This is Run number 226
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.0297101 0.5368554 -3.2702899 -1.1631446 2
+#> 2 1 -1.35 -13.20 -0.2190544 4.1216410 -1.5690544 -9.0783590 1
+#> 3 1 -2.05 -14.20 1.4039477 3.9288783 -0.6460523 -10.2711217 1
+#> 4 1 -1.55 -3.10 0.1532120 3.8024450 -1.3967880 0.7024450 2
+#> 5 1 -1.90 -3.60 1.2618339 0.8505382 -0.6381661 -2.7494618 1
+#> 6 1 -13.70 -1.85 3.9528531 0.9330101 -9.7471469 -0.9169899 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4340 -36950 8300
+#> initial value 998.131940
+#> iter 2 value 827.882947
+#> iter 3 value 814.664549
+#> iter 4 value 813.236663
+#> iter 5 value 778.940424
+#> iter 6 value 771.831007
+#> iter 7 value 770.676662
+#> iter 8 value 770.644395
+#> iter 9 value 770.644146
+#> iter 10 value 770.644124
+#> iter 11 value 770.644108
+#> iter 12 value 770.644092
+#> iter 12 value 770.644092
+#> iter 12 value 770.644092
+#> final value 770.644092
+#> converged
+#> This is Run number 227
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.4982232 3.0024690 -3.8017768 1.302469 2
+#> 2 1 -1.35 -13.20 -1.0840001 -0.3366742 -2.4340001 -13.536674 1
+#> 3 1 -2.05 -14.20 1.0442539 -0.5833355 -1.0057461 -14.783336 1
+#> 4 1 -1.55 -3.10 0.7068723 -0.7463479 -0.8431277 -3.846348 1
+#> 5 1 -1.90 -3.60 2.1959358 2.0778660 0.2959358 -1.522134 1
+#> 6 1 -13.70 -1.85 0.9885571 -0.8092862 -12.7114429 -2.659286 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3560 -38075 8925
+#> initial value 998.131940
+#> iter 2 value 807.099308
+#> iter 3 value 790.087562
+#> iter 4 value 786.286117
+#> iter 5 value 752.069117
+#> iter 6 value 744.967911
+#> iter 7 value 743.960018
+#> iter 8 value 743.927201
+#> iter 9 value 743.927185
+#> iter 9 value 743.927183
+#> iter 9 value 743.927183
+#> final value 743.927183
+#> converged
+#> This is Run number 228
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.04480736 4.50124361 -4.344807 2.801244 2
+#> 2 1 -1.35 -13.20 -0.28323979 0.12815000 -1.633240 -13.071850 1
+#> 3 1 -2.05 -14.20 3.24468921 1.75798482 1.194689 -12.442015 1
+#> 4 1 -1.55 -3.10 0.18843890 0.04074503 -1.361561 -3.059255 1
+#> 5 1 -1.90 -3.60 -0.30417322 -0.11281512 -2.204173 -3.712815 1
+#> 6 1 -13.70 -1.85 2.13011800 -0.58467611 -11.569882 -2.434676 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3120 -34725 9725
+#> initial value 998.131940
+#> iter 2 value 846.157430
+#> iter 3 value 827.540547
+#> iter 4 value 826.206948
+#> iter 5 value 788.651367
+#> iter 6 value 782.792520
+#> iter 7 value 782.085341
+#> iter 8 value 782.070261
+#> iter 9 value 782.070163
+#> iter 9 value 782.070159
+#> iter 9 value 782.070159
+#> final value 782.070159
+#> converged
+#> This is Run number 229
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.9131333 1.31109277 -3.386867 -0.3889072 2
+#> 2 1 -1.35 -13.20 0.3339201 -0.26549377 -1.016080 -13.4654938 1
+#> 3 1 -2.05 -14.20 0.3532671 0.23378126 -1.696733 -13.9662187 1
+#> 4 1 -1.55 -3.10 0.4605435 0.05954281 -1.089456 -3.0404572 1
+#> 5 1 -1.90 -3.60 0.2479603 -0.47561525 -1.652040 -4.0756153 1
+#> 6 1 -13.70 -1.85 -0.2651950 -0.15458834 -13.965195 -2.0045883 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4000 -37700 9325
+#> initial value 998.131940
+#> iter 2 value 810.280164
+#> iter 3 value 793.509081
+#> iter 4 value 791.772564
+#> iter 5 value 759.236591
+#> iter 6 value 752.380850
+#> iter 7 value 751.511500
+#> iter 8 value 751.482895
+#> iter 9 value 751.482720
+#> iter 9 value 751.482710
+#> iter 9 value 751.482710
+#> final value 751.482710
+#> converged
+#> This is Run number 230
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.1121013 0.16120275 -4.18789871 -1.5387973 2
+#> 2 1 -1.35 -13.20 1.4335628 -0.09499696 0.08356282 -13.2949970 1
+#> 3 1 -2.05 -14.20 0.5526031 1.12635251 -1.49739690 -13.0736475 1
+#> 4 1 -1.55 -3.10 3.5720875 0.36540717 2.02208753 -2.7345928 1
+#> 5 1 -1.90 -3.60 3.2172344 -0.69510757 1.31723441 -4.2951076 1
+#> 6 1 -13.70 -1.85 0.4688138 2.20062654 -13.23118622 0.3506265 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4100 -37250 9225
+#> initial value 998.131940
+#> iter 2 value 817.480467
+#> iter 3 value 801.360771
+#> iter 4 value 800.091991
+#> iter 5 value 766.961959
+#> iter 6 value 760.133236
+#> iter 7 value 759.255446
+#> iter 8 value 759.229094
+#> iter 9 value 759.228888
+#> iter 9 value 759.228883
+#> iter 9 value 759.228883
+#> final value 759.228883
+#> converged
+#> This is Run number 231
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.4687830 1.08987219 -3.8312170 -0.6101278 2
+#> 2 1 -1.35 -13.20 0.4320087 -0.50414223 -0.9179913 -13.7041422 1
+#> 3 1 -2.05 -14.20 2.3665782 0.02666835 0.3165782 -14.1733317 1
+#> 4 1 -1.55 -3.10 2.5777596 1.78675702 1.0277596 -1.3132430 1
+#> 5 1 -1.90 -3.60 -0.2593736 -0.23937763 -2.1593736 -3.8393776 1
+#> 6 1 -13.70 -1.85 1.9984363 0.35418251 -11.7015637 -1.4958175 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3660 -36850 8550
+#> initial value 998.131940
+#> iter 2 value 827.185396
+#> iter 3 value 811.928586
+#> iter 4 value 809.214537
+#> iter 5 value 773.187501
+#> iter 6 value 766.137335
+#> iter 7 value 765.051035
+#> iter 8 value 765.022943
+#> iter 9 value 765.022826
+#> iter 9 value 765.022821
+#> iter 9 value 765.022819
+#> final value 765.022819
+#> converged
+#> This is Run number 232
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.17247965 0.351410742 -4.4724797 -1.3485893 2
+#> 2 1 -1.35 -13.20 0.35134294 1.360352142 -0.9986571 -11.8396479 1
+#> 3 1 -2.05 -14.20 -0.50428883 -1.056772035 -2.5542888 -15.2567720 1
+#> 4 1 -1.55 -3.10 2.19647312 0.003837607 0.6464731 -3.0961624 1
+#> 5 1 -1.90 -3.60 2.31686637 -0.428734586 0.4168664 -4.0287346 1
+#> 6 1 -13.70 -1.85 -0.01352833 1.692842565 -13.7135283 -0.1571574 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3260 -35475 9825
+#> initial value 998.131940
+#> iter 2 value 836.247062
+#> iter 3 value 817.348674
+#> iter 4 value 815.911822
+#> iter 5 value 779.565683
+#> iter 6 value 773.506941
+#> iter 7 value 772.784377
+#> iter 8 value 772.766813
+#> iter 9 value 772.766698
+#> iter 9 value 772.766689
+#> iter 9 value 772.766689
+#> final value 772.766689
+#> converged
+#> This is Run number 233
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.08087521 1.2194355 -4.3808752 -0.4805645 2
+#> 2 1 -1.35 -13.20 0.19299095 0.3881210 -1.1570091 -12.8118790 1
+#> 3 1 -2.05 -14.20 2.78200112 2.8878955 0.7320011 -11.3121045 1
+#> 4 1 -1.55 -3.10 -0.45808664 0.7929966 -2.0080866 -2.3070034 1
+#> 5 1 -1.90 -3.60 -0.54008342 2.1543740 -2.4400834 -1.4456260 2
+#> 6 1 -13.70 -1.85 -1.50481092 2.7065981 -15.2048109 0.8565981 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3240 -37025 10825
+#> initial value 998.131940
+#> iter 2 value 807.705886
+#> iter 3 value 785.063829
+#> iter 4 value 783.492702
+#> iter 5 value 750.339884
+#> iter 6 value 744.499703
+#> iter 7 value 743.888444
+#> iter 8 value 743.864148
+#> iter 9 value 743.864073
+#> iter 10 value 743.863978
+#> iter 10 value 743.863975
+#> iter 10 value 743.863965
+#> final value 743.863965
+#> converged
+#> This is Run number 234
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.1735762 -0.5138445 -4.4735762 -2.213845 2
+#> 2 1 -1.35 -13.20 -1.1158602 2.1276896 -2.4658602 -11.072310 1
+#> 3 1 -2.05 -14.20 1.0908666 -1.4146554 -0.9591334 -15.614655 1
+#> 4 1 -1.55 -3.10 0.5557082 -0.1588118 -0.9942918 -3.258812 1
+#> 5 1 -1.90 -3.60 -0.3045088 2.4085439 -2.2045088 -1.191456 2
+#> 6 1 -13.70 -1.85 0.1352422 0.9036780 -13.5647578 -0.946322 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3760 -37425 10200
+#> initial value 998.131940
+#> iter 2 value 807.592477
+#> iter 3 value 787.924562
+#> iter 4 value 786.723896
+#> iter 5 value 754.394622
+#> iter 6 value 748.061843
+#> iter 7 value 747.379294
+#> iter 8 value 747.354547
+#> iter 9 value 747.354432
+#> iter 10 value 747.354349
+#> iter 11 value 747.354334
+#> iter 12 value 747.354307
+#> iter 12 value 747.354307
+#> iter 12 value 747.354307
+#> final value 747.354307
+#> converged
+#> This is Run number 235
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.004241737 2.1712047 -4.295758 0.4712047 2
+#> 2 1 -1.35 -13.20 -0.694588031 -0.9186759 -2.044588 -14.1186759 1
+#> 3 1 -2.05 -14.20 0.050876389 -0.1081317 -1.999124 -14.3081317 1
+#> 4 1 -1.55 -3.10 -0.565280389 -0.1637593 -2.115280 -3.2637593 1
+#> 5 1 -1.90 -3.60 2.484087009 -0.3568139 0.584087 -3.9568139 1
+#> 6 1 -13.70 -1.85 1.152301712 3.1758346 -12.547698 1.3258346 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3420 -35775 9175
+#> initial value 998.131940
+#> iter 2 value 837.199926
+#> iter 3 value 820.328688
+#> iter 4 value 818.465754
+#> iter 5 value 781.644339
+#> iter 6 value 775.197112
+#> iter 7 value 774.304517
+#> iter 8 value 774.282976
+#> iter 9 value 774.282842
+#> iter 10 value 774.282829
+#> iter 10 value 774.282821
+#> iter 10 value 774.282818
+#> final value 774.282818
+#> converged
+#> This is Run number 236
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.99399914 -0.8008573 -2.306001 -2.500857 1
+#> 2 1 -1.35 -13.20 -0.00933581 2.5763965 -1.359336 -10.623603 1
+#> 3 1 -2.05 -14.20 -1.04698186 -0.3080019 -3.096982 -14.508002 1
+#> 4 1 -1.55 -3.10 0.19064958 -0.3233341 -1.359350 -3.423334 1
+#> 5 1 -1.90 -3.60 -0.82580636 0.4054827 -2.725806 -3.194517 1
+#> 6 1 -13.70 -1.85 0.11361529 -0.7107327 -13.586385 -2.560733 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4000 -38375 10600
+#> initial value 998.131940
+#> iter 2 value 790.696329
+#> iter 3 value 769.955287
+#> iter 4 value 769.126915
+#> iter 5 value 739.072822
+#> iter 6 value 732.899999
+#> iter 7 value 732.273581
+#> iter 8 value 732.244285
+#> iter 9 value 732.244180
+#> iter 10 value 732.243941
+#> iter 11 value 732.243898
+#> iter 12 value 732.243835
+#> iter 12 value 732.243835
+#> iter 12 value 732.243835
+#> final value 732.243835
+#> converged
+#> This is Run number 237
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.02958438 -0.6943235 -4.2704156 -2.394323 2
+#> 2 1 -1.35 -13.20 0.59241874 -1.1655627 -0.7575813 -14.365563 1
+#> 3 1 -2.05 -14.20 0.43197122 0.7567525 -1.6180288 -13.443247 1
+#> 4 1 -1.55 -3.10 0.31171179 1.1141402 -1.2382882 -1.985860 1
+#> 5 1 -1.90 -3.60 0.79242928 0.4613491 -1.1075707 -3.138651 1
+#> 6 1 -13.70 -1.85 -0.52289140 -0.3334888 -14.2228914 -2.183489 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -38150 8975
+#> initial value 998.131940
+#> iter 2 value 806.338622
+#> iter 3 value 791.223934
+#> iter 4 value 789.907189
+#> iter 5 value 758.619481
+#> iter 6 value 751.503707
+#> iter 7 value 750.580756
+#> iter 8 value 750.549754
+#> iter 9 value 750.549518
+#> iter 9 value 750.549511
+#> iter 9 value 750.549511
+#> final value 750.549511
+#> converged
+#> This is Run number 238
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.1839688 0.4404636 -4.1160312 -1.259536 2
+#> 2 1 -1.35 -13.20 1.6990073 -0.7583831 0.3490073 -13.958383 1
+#> 3 1 -2.05 -14.20 -0.6894821 -0.9231838 -2.7394821 -15.123184 1
+#> 4 1 -1.55 -3.10 0.4690162 1.3361886 -1.0809838 -1.763811 1
+#> 5 1 -1.90 -3.60 0.5274761 0.1457626 -1.3725239 -3.454237 1
+#> 6 1 -13.70 -1.85 -0.4376664 0.4825851 -14.1376664 -1.367415 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3360 -34800 9050
+#> initial value 998.131940
+#> iter 2 value 850.275810
+#> iter 3 value 834.013459
+#> iter 4 value 832.583764
+#> iter 5 value 794.398241
+#> iter 6 value 788.237190
+#> iter 7 value 787.370949
+#> iter 8 value 787.352689
+#> iter 9 value 787.352574
+#> iter 10 value 787.352559
+#> iter 11 value 787.352542
+#> iter 11 value 787.352530
+#> iter 11 value 787.352530
+#> final value 787.352530
+#> converged
+#> This is Run number 239
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.7334344 3.0057288 -6.0334344 1.3057288 2
+#> 2 1 -1.35 -13.20 1.0992552 -0.3568061 -0.2507448 -13.5568061 1
+#> 3 1 -2.05 -14.20 0.9990038 1.0960987 -1.0509962 -13.1039013 1
+#> 4 1 -1.55 -3.10 1.2601422 1.6245389 -0.2898578 -1.4754611 1
+#> 5 1 -1.90 -3.60 -1.1886331 -0.3351199 -3.0886331 -3.9351199 1
+#> 6 1 -13.70 -1.85 -0.2649073 1.4053364 -13.9649073 -0.4446636 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3380 -36675 9650
+#> initial value 998.131940
+#> iter 2 value 821.797205
+#> iter 3 value 803.155157
+#> iter 4 value 800.949399
+#> iter 5 value 765.861210
+#> iter 6 value 759.398035
+#> iter 7 value 758.580111
+#> iter 8 value 758.556092
+#> iter 9 value 758.555974
+#> iter 9 value 758.555972
+#> iter 9 value 758.555972
+#> final value 758.555972
+#> converged
+#> This is Run number 240
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.1249134 0.64787835 -4.4249134 -1.052122 2
+#> 2 1 -1.35 -13.20 0.8068039 1.05512584 -0.5431961 -12.144874 1
+#> 3 1 -2.05 -14.20 -1.0103325 2.77195909 -3.0603325 -11.428041 1
+#> 4 1 -1.55 -3.10 -0.3732338 0.08864506 -1.9232338 -3.011355 1
+#> 5 1 -1.90 -3.60 0.9092550 0.04956485 -0.9907450 -3.550435 1
+#> 6 1 -13.70 -1.85 -0.9894156 -0.31961533 -14.6894156 -2.169615 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2900 -35275 9775
+#> initial value 998.131940
+#> iter 2 value 838.640369
+#> iter 3 value 819.107320
+#> iter 4 value 816.987762
+#> iter 5 value 779.222124
+#> iter 6 value 773.207398
+#> iter 7 value 772.455960
+#> iter 8 value 772.438111
+#> iter 9 value 772.438022
+#> iter 9 value 772.438014
+#> iter 9 value 772.438011
+#> final value 772.438011
+#> converged
+#> This is Run number 241
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3394305 0.1685359 -4.639430 -1.5314641 2
+#> 2 1 -1.35 -13.20 -1.5843940 0.3379982 -2.934394 -12.8620018 1
+#> 3 1 -2.05 -14.20 -0.1923123 -0.5019945 -2.242312 -14.7019945 1
+#> 4 1 -1.55 -3.10 -0.5904350 1.8367133 -2.140435 -1.2632867 2
+#> 5 1 -1.90 -3.60 0.2265561 4.2604807 -1.673444 0.6604807 2
+#> 6 1 -13.70 -1.85 1.8477353 0.5459878 -11.852265 -1.3040122 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3840 -37025 9325
+#> initial value 998.131940
+#> iter 2 value 819.750529
+#> iter 3 value 802.902143
+#> iter 4 value 801.261514
+#> iter 5 value 767.366094
+#> iter 6 value 760.645121
+#> iter 7 value 759.775091
+#> iter 8 value 759.749443
+#> iter 9 value 759.749267
+#> iter 9 value 759.749265
+#> iter 9 value 759.749265
+#> final value 759.749265
+#> converged
+#> This is Run number 242
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.28198102 -0.5336063 -4.5819810 -2.233606 2
+#> 2 1 -1.35 -13.20 1.73562649 1.0519105 0.3856265 -12.148090 1
+#> 3 1 -2.05 -14.20 0.03786915 0.3275577 -2.0121309 -13.872442 1
+#> 4 1 -1.55 -3.10 0.27573642 -0.5208604 -1.2742636 -3.620860 1
+#> 5 1 -1.90 -3.60 -1.01588577 0.1429407 -2.9158858 -3.457059 1
+#> 6 1 -13.70 -1.85 2.71158198 0.2159814 -10.9884180 -1.634019 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3600 -36525 9225
+#> initial value 998.131940
+#> iter 2 value 827.098391
+#> iter 3 value 810.185119
+#> iter 4 value 808.222906
+#> iter 5 value 772.880298
+#> iter 6 value 766.239335
+#> iter 7 value 765.338158
+#> iter 8 value 765.313799
+#> iter 9 value 765.313646
+#> iter 10 value 765.313634
+#> iter 10 value 765.313626
+#> iter 10 value 765.313622
+#> final value 765.313622
+#> converged
+#> This is Run number 243
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.1313995 0.09545582 -2.1686005 -1.604544 2
+#> 2 1 -1.35 -13.20 -0.9407602 -0.03007458 -2.2907602 -13.230075 1
+#> 3 1 -2.05 -14.20 1.1426776 -0.32627021 -0.9073224 -14.526270 1
+#> 4 1 -1.55 -3.10 0.3484099 -0.43854140 -1.2015901 -3.538541 1
+#> 5 1 -1.90 -3.60 0.1721021 1.52871782 -1.7278979 -2.071282 1
+#> 6 1 -13.70 -1.85 1.5703597 0.20242649 -12.1296403 -1.647574 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2520 -36350 10350
+#> initial value 998.131940
+#> iter 2 value 819.594020
+#> iter 3 value 796.817358
+#> iter 4 value 793.338992
+#> iter 5 value 755.973251
+#> iter 6 value 750.022170
+#> iter 7 value 749.281019
+#> iter 8 value 749.256022
+#> iter 9 value 749.255997
+#> iter 9 value 749.255996
+#> iter 9 value 749.255996
+#> final value 749.255996
+#> converged
+#> This is Run number 244
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.2463578 0.1846839 -2.053642 -1.515316 2
+#> 2 1 -1.35 -13.20 5.3291780 1.6175311 3.979178 -11.582469 1
+#> 3 1 -2.05 -14.20 -0.3187964 1.1626001 -2.368796 -13.037400 1
+#> 4 1 -1.55 -3.10 3.2916178 1.2438257 1.741618 -1.856174 1
+#> 5 1 -1.90 -3.60 -1.4472849 0.7413328 -3.347285 -2.858667 2
+#> 6 1 -13.70 -1.85 1.1334578 -0.6874939 -12.566542 -2.537494 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2780 -37400 10450
+#> initial value 998.131940
+#> iter 2 value 804.703341
+#> iter 3 value 781.822770
+#> iter 4 value 778.083686
+#> iter 5 value 742.941097
+#> iter 6 value 736.893553
+#> iter 7 value 736.133862
+#> iter 8 value 736.101346
+#> iter 9 value 736.101327
+#> iter 9 value 736.101324
+#> iter 9 value 736.101324
+#> final value 736.101324
+#> converged
+#> This is Run number 245
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.13494370 0.49853023 -4.4349437 -1.201470 2
+#> 2 1 -1.35 -13.20 0.01726581 -0.33621562 -1.3327342 -13.536216 1
+#> 3 1 -2.05 -14.20 -1.10018447 1.59980868 -3.1501845 -12.600191 1
+#> 4 1 -1.55 -3.10 -0.91825531 -0.56935331 -2.4682553 -3.669353 1
+#> 5 1 -1.90 -3.60 2.26620115 0.09007582 0.3662011 -3.509924 1
+#> 6 1 -13.70 -1.85 1.18077644 0.21544360 -12.5192236 -1.634556 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2900 -36850 10800
+#> initial value 998.131940
+#> iter 2 value 809.854811
+#> iter 3 value 786.515589
+#> iter 4 value 784.108885
+#> iter 5 value 749.713249
+#> iter 6 value 743.927939
+#> iter 7 value 743.281530
+#> iter 8 value 743.255728
+#> iter 9 value 743.255673
+#> iter 10 value 743.255635
+#> iter 10 value 743.255634
+#> iter 10 value 743.255634
+#> final value 743.255634
+#> converged
+#> This is Run number 246
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.39415295 -0.1727293 -4.694153 -1.872729 2
+#> 2 1 -1.35 -13.20 -1.16397161 -0.3276055 -2.513972 -13.527606 1
+#> 3 1 -2.05 -14.20 -0.28453034 1.0043047 -2.334530 -13.195695 1
+#> 4 1 -1.55 -3.10 0.09396077 -0.5853078 -1.456039 -3.685308 1
+#> 5 1 -1.90 -3.60 0.14068175 -0.9492962 -1.759318 -4.549296 1
+#> 6 1 -13.70 -1.85 2.48850574 0.8264288 -11.211494 -1.023571 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3960 -38625 9800
+#> initial value 998.131940
+#> iter 2 value 793.078740
+#> iter 3 value 774.544468
+#> iter 4 value 772.512737
+#> iter 5 value 741.865250
+#> iter 6 value 735.200714
+#> iter 7 value 734.416271
+#> iter 8 value 734.382469
+#> iter 9 value 734.382380
+#> iter 10 value 734.382329
+#> iter 10 value 734.382326
+#> iter 10 value 734.382325
+#> final value 734.382325
+#> converged
+#> This is Run number 247
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.6897874 0.4767041 -4.989787 -1.223296 2
+#> 2 1 -1.35 -13.20 -0.8362536 -1.5218636 -2.186254 -14.721864 1
+#> 3 1 -2.05 -14.20 -0.4506002 1.2226825 -2.500600 -12.977318 1
+#> 4 1 -1.55 -3.10 -0.5057535 1.7955707 -2.055754 -1.304429 2
+#> 5 1 -1.90 -3.60 -0.4821819 2.5062102 -2.382182 -1.093790 2
+#> 6 1 -13.70 -1.85 -0.9251196 3.7922056 -14.625120 1.942206 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4280 -36350 9200
+#> initial value 998.131940
+#> iter 2 value 830.123223
+#> iter 3 value 814.713141
+#> iter 4 value 814.241562
+#> iter 5 value 780.024739
+#> iter 6 value 773.387954
+#> iter 7 value 772.550551
+#> iter 8 value 772.529465
+#> iter 9 value 772.529286
+#> iter 10 value 772.529245
+#> iter 11 value 772.529186
+#> iter 12 value 772.529149
+#> iter 12 value 772.529149
+#> iter 12 value 772.529149
+#> final value 772.529149
+#> converged
+#> This is Run number 248
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2377085 0.2508240 -4.5377085 -1.449176 2
+#> 2 1 -1.35 -13.20 0.1177092 -0.7269030 -1.2322908 -13.926903 1
+#> 3 1 -2.05 -14.20 2.6072624 1.2078884 0.5572624 -12.992112 1
+#> 4 1 -1.55 -3.10 0.5502035 1.6110506 -0.9997965 -1.488949 1
+#> 5 1 -1.90 -3.60 -0.3011752 -0.3466126 -2.2011752 -3.946613 1
+#> 6 1 -13.70 -1.85 1.8805880 1.1094470 -11.8194120 -0.740553 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2760 -35775 11100
+#> initial value 998.131940
+#> iter 2 value 821.607092
+#> iter 3 value 797.417761
+#> iter 4 value 795.809795
+#> iter 5 value 760.722152
+#> iter 6 value 755.310210
+#> iter 7 value 754.766988
+#> iter 8 value 754.748760
+#> iter 9 value 754.748701
+#> iter 10 value 754.748637
+#> iter 10 value 754.748636
+#> iter 11 value 754.748622
+#> iter 11 value 754.748620
+#> iter 11 value 754.748620
+#> final value 754.748620
+#> converged
+#> This is Run number 249
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3862907 2.0266840 -4.6862907 0.3266840 2
+#> 2 1 -1.35 -13.20 1.5906176 -0.4960826 0.2406176 -13.6960826 1
+#> 3 1 -2.05 -14.20 -0.3553603 -1.2782284 -2.4053603 -15.4782284 1
+#> 4 1 -1.55 -3.10 0.3935494 0.4187684 -1.1564506 -2.6812316 1
+#> 5 1 -1.90 -3.60 -1.4258724 0.5596787 -3.3258724 -3.0403213 2
+#> 6 1 -13.70 -1.85 0.9749176 2.4800225 -12.7250824 0.6300225 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -36825 8050
+#> initial value 998.131940
+#> iter 2 value 831.093868
+#> iter 3 value 818.330067
+#> iter 4 value 816.569098
+#> iter 5 value 781.548026
+#> iter 6 value 774.383576
+#> iter 7 value 773.142128
+#> iter 8 value 773.108158
+#> iter 9 value 773.107926
+#> iter 10 value 773.107912
+#> iter 10 value 773.107906
+#> iter 10 value 773.107904
+#> final value 773.107904
+#> converged
+#> This is Run number 250
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.1815262 1.344020198 -4.4815262 -0.3559798 2
+#> 2 1 -1.35 -13.20 1.9930681 -1.169096607 0.6430681 -14.3690966 1
+#> 3 1 -2.05 -14.20 0.4366477 3.358321604 -1.6133523 -10.8416784 1
+#> 4 1 -1.55 -3.10 0.0834799 -0.196733962 -1.4665201 -3.2967340 1
+#> 5 1 -1.90 -3.60 -1.0378923 -0.003332934 -2.9378923 -3.6033329 1
+#> 6 1 -13.70 -1.85 0.5877365 -1.401877385 -13.1122635 -3.2518774 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3520 -38225 9275
+#> initial value 998.131940
+#> iter 2 value 802.441286
+#> iter 3 value 784.390741
+#> iter 4 value 780.677642
+#> iter 5 value 747.206931
+#> iter 6 value 740.300327
+#> iter 7 value 739.360045
+#> iter 8 value 739.325697
+#> iter 9 value 739.325677
+#> iter 9 value 739.325677
+#> iter 9 value 739.325677
+#> final value 739.325677
+#> converged
+#> This is Run number 251
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.97338306 -1.4672064 -2.3266169 -3.167206 1
+#> 2 1 -1.35 -13.20 2.87807618 -0.1008022 1.5280762 -13.300802 1
+#> 3 1 -2.05 -14.20 0.08054695 -0.6854168 -1.9694530 -14.885417 1
+#> 4 1 -1.55 -3.10 1.69892966 0.3116053 0.1489297 -2.788395 1
+#> 5 1 -1.90 -3.60 0.29843494 1.0725617 -1.6015651 -2.527438 1
+#> 6 1 -13.70 -1.85 -0.48950792 3.4369769 -14.1895079 1.586977 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2840 -37000 10675
+#> initial value 998.131940
+#> iter 2 value 808.678885
+#> iter 3 value 785.496268
+#> iter 4 value 782.623539
+#> iter 5 value 747.892293
+#> iter 6 value 742.018625
+#> iter 7 value 741.333182
+#> iter 8 value 741.305353
+#> iter 9 value 741.305309
+#> iter 10 value 741.305289
+#> iter 10 value 741.305284
+#> iter 10 value 741.305284
+#> final value 741.305284
+#> converged
+#> This is Run number 252
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.3055620 0.2384299 -2.9944380 -1.461570 2
+#> 2 1 -1.35 -13.20 -0.8865154 -0.5897689 -2.2365154 -13.789769 1
+#> 3 1 -2.05 -14.20 1.0158514 -1.1611752 -1.0341486 -15.361175 1
+#> 4 1 -1.55 -3.10 -0.6006120 1.4525281 -2.1506120 -1.647472 2
+#> 5 1 -1.90 -3.60 2.0329091 -0.2877525 0.1329091 -3.887752 1
+#> 6 1 -13.70 -1.85 -0.2138498 4.5082922 -13.9138498 2.658292 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3260 -36225 9850
+#> initial value 998.131940
+#> iter 2 value 826.268387
+#> iter 3 value 806.977155
+#> iter 4 value 805.031432
+#> iter 5 value 769.457517
+#> iter 6 value 763.207944
+#> iter 7 value 762.447775
+#> iter 8 value 762.426469
+#> iter 9 value 762.426354
+#> iter 9 value 762.426347
+#> iter 9 value 762.426347
+#> final value 762.426347
+#> converged
+#> This is Run number 253
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.4715224 3.9734018 -3.8284776 2.273402 2
+#> 2 1 -1.35 -13.20 0.6105136 1.2373147 -0.7394864 -11.962685 1
+#> 3 1 -2.05 -14.20 1.0879601 -0.5010234 -0.9620399 -14.701023 1
+#> 4 1 -1.55 -3.10 -0.8726059 -0.9867879 -2.4226059 -4.086788 1
+#> 5 1 -1.90 -3.60 0.6105635 2.4380167 -1.2894365 -1.161983 2
+#> 6 1 -13.70 -1.85 -0.5392580 0.3816202 -14.2392580 -1.468380 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3900 -37725 9550
+#> initial value 998.131940
+#> iter 2 value 808.241639
+#> iter 3 value 790.633303
+#> iter 4 value 788.865446
+#> iter 5 value 756.422148
+#> iter 6 value 749.684867
+#> iter 7 value 748.861288
+#> iter 8 value 748.833018
+#> iter 9 value 748.832868
+#> iter 10 value 748.832847
+#> iter 11 value 748.832824
+#> iter 11 value 748.832818
+#> iter 11 value 748.832818
+#> final value 748.832818
+#> converged
+#> This is Run number 254
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 4.0833673 0.7389626 -0.21663271 -0.9610374 1
+#> 2 1 -1.35 -13.20 0.3000728 -0.4393752 -1.04992720 -13.6393752 1
+#> 3 1 -2.05 -14.20 0.5124246 -0.8275286 -1.53757537 -15.0275286 1
+#> 4 1 -1.55 -3.10 0.6973376 -0.4534594 -0.85266240 -3.5534594 1
+#> 5 1 -1.90 -3.60 1.9849338 0.1663076 0.08493378 -3.4336924 1
+#> 6 1 -13.70 -1.85 1.3805601 -0.7015005 -12.31943993 -2.5515005 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3100 -35900 9150
+#> initial value 998.131940
+#> iter 2 value 835.312897
+#> iter 3 value 817.657651
+#> iter 4 value 814.989290
+#> iter 5 value 777.024029
+#> iter 6 value 770.501435
+#> iter 7 value 769.580255
+#> iter 8 value 769.558319
+#> iter 9 value 769.558236
+#> iter 9 value 769.558232
+#> iter 9 value 769.558230
+#> final value 769.558230
+#> converged
+#> This is Run number 255
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.7423750 -1.0740710 -1.557625 -2.774071 1
+#> 2 1 -1.35 -13.20 -1.9459656 2.4169310 -3.295966 -10.783069 1
+#> 3 1 -2.05 -14.20 -0.1034626 -0.5639606 -2.153463 -14.763961 1
+#> 4 1 -1.55 -3.10 -0.3149306 -0.2281008 -1.864931 -3.328101 1
+#> 5 1 -1.90 -3.60 -0.1649116 0.4226628 -2.064912 -3.177337 1
+#> 6 1 -13.70 -1.85 1.8864729 0.2257545 -11.813527 -1.624246 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3660 -37300 10375
+#> initial value 998.131940
+#> iter 2 value 807.916536
+#> iter 3 value 787.544640
+#> iter 4 value 786.363134
+#> iter 5 value 753.888167
+#> iter 6 value 747.684033
+#> iter 7 value 747.029432
+#> iter 8 value 747.005363
+#> iter 9 value 747.005259
+#> iter 10 value 747.005164
+#> iter 10 value 747.005162
+#> iter 10 value 747.005162
+#> final value 747.005162
+#> converged
+#> This is Run number 256
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.49167207 0.39393625 -4.7916721 -1.3060637 2
+#> 2 1 -1.35 -13.20 0.29573065 0.26621695 -1.0542694 -12.9337830 1
+#> 3 1 -2.05 -14.20 0.97313741 3.34512217 -1.0768626 -10.8548778 1
+#> 4 1 -1.55 -3.10 0.83020668 0.09631145 -0.7197933 -3.0036885 1
+#> 5 1 -1.90 -3.60 -0.09866729 -0.71172842 -1.9986673 -4.3117284 1
+#> 6 1 -13.70 -1.85 -1.00659603 2.29951017 -14.7065960 0.4495102 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3580 -37025 9600
+#> initial value 998.131940
+#> iter 2 value 817.547086
+#> iter 3 value 799.364920
+#> iter 4 value 797.347192
+#> iter 5 value 763.189022
+#> iter 6 value 756.616993
+#> iter 7 value 755.792488
+#> iter 8 value 755.767074
+#> iter 9 value 755.766939
+#> iter 9 value 755.766933
+#> iter 9 value 755.766933
+#> final value 755.766933
+#> converged
+#> This is Run number 257
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2387716 0.1810649 -4.538772 -1.518935 2
+#> 2 1 -1.35 -13.20 -1.0365281 -0.5247331 -2.386528 -13.724733 1
+#> 3 1 -2.05 -14.20 -0.3254837 2.8859326 -2.375484 -11.314067 1
+#> 4 1 -1.55 -3.10 2.7031438 1.3209452 1.153144 -1.779055 1
+#> 5 1 -1.90 -3.60 0.6985578 0.3048380 -1.201442 -3.295162 1
+#> 6 1 -13.70 -1.85 -0.5198106 0.1902654 -14.219811 -1.659735 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3520 -37550 10200
+#> initial value 998.131940
+#> iter 2 value 805.563013
+#> iter 3 value 785.301775
+#> iter 4 value 783.379076
+#> iter 5 value 750.628433
+#> iter 6 value 744.315550
+#> iter 7 value 743.596643
+#> iter 8 value 743.569068
+#> iter 9 value 743.568976
+#> iter 10 value 743.568929
+#> iter 10 value 743.568926
+#> iter 10 value 743.568918
+#> final value 743.568918
+#> converged
+#> This is Run number 258
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.37523787 -0.38332332 -4.6752379 -2.083323 2
+#> 2 1 -1.35 -13.20 -0.02727386 1.69490902 -1.3772739 -11.505091 1
+#> 3 1 -2.05 -14.20 0.73003435 0.35290345 -1.3199656 -13.847097 1
+#> 4 1 -1.55 -3.10 1.84047377 0.40984423 0.2904738 -2.690156 1
+#> 5 1 -1.90 -3.60 -0.68779686 -0.33947113 -2.5877969 -3.939471 1
+#> 6 1 -13.70 -1.85 1.12025267 -0.01334172 -12.5797473 -1.863342 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3860 -37350 9350
+#> initial value 998.131940
+#> iter 2 value 815.015885
+#> iter 3 value 798.012285
+#> iter 4 value 796.203578
+#> iter 5 value 762.849010
+#> iter 6 value 756.073606
+#> iter 7 value 755.203628
+#> iter 8 value 755.176478
+#> iter 9 value 755.176310
+#> iter 9 value 755.176305
+#> iter 9 value 755.176305
+#> final value 755.176305
+#> converged
+#> This is Run number 259
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.3390430 0.3990975 -3.9609570 -1.300903 2
+#> 2 1 -1.35 -13.20 3.1981186 1.1705276 1.8481186 -12.029472 1
+#> 3 1 -2.05 -14.20 0.1439583 -0.6423602 -1.9060417 -14.842360 1
+#> 4 1 -1.55 -3.10 1.3548803 1.7522419 -0.1951197 -1.347758 1
+#> 5 1 -1.90 -3.60 0.8157943 2.5252173 -1.0842057 -1.074783 2
+#> 6 1 -13.70 -1.85 0.8322464 -0.4277404 -12.8677536 -2.277740 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3600 -36100 10100
+#> initial value 998.131940
+#> iter 2 value 826.437457
+#> iter 3 value 807.219756
+#> iter 4 value 806.352574
+#> iter 5 value 771.912144
+#> iter 6 value 765.785777
+#> iter 7 value 765.125204
+#> iter 8 value 765.107262
+#> iter 9 value 765.107141
+#> iter 10 value 765.107095
+#> iter 11 value 765.107044
+#> iter 12 value 765.107032
+#> iter 12 value 765.107032
+#> iter 12 value 765.107032
+#> final value 765.107032
+#> converged
+#> This is Run number 260
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.26415975 -1.9215034 -2.0358402 -3.621503 1
+#> 2 1 -1.35 -13.20 0.03193381 0.1920354 -1.3180662 -13.007965 1
+#> 3 1 -2.05 -14.20 -0.36250406 -1.1713350 -2.4125041 -15.371335 1
+#> 4 1 -1.55 -3.10 0.69369064 -0.8089267 -0.8563094 -3.908927 1
+#> 5 1 -1.90 -3.60 2.47392399 0.8485470 0.5739240 -2.751453 1
+#> 6 1 -13.70 -1.85 0.46028688 0.2436300 -13.2397131 -1.606370 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4160 -37250 9150
+#> initial value 998.131940
+#> iter 2 value 818.034634
+#> iter 3 value 802.235245
+#> iter 4 value 801.030967
+#> iter 5 value 767.925326
+#> iter 6 value 761.060429
+#> iter 7 value 760.166860
+#> iter 8 value 760.140252
+#> iter 9 value 760.140037
+#> iter 9 value 760.140035
+#> iter 9 value 760.140035
+#> final value 760.140035
+#> converged
+#> This is Run number 261
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.8280682 -1.1481770 -5.1280682 -2.848177 2
+#> 2 1 -1.35 -13.20 0.5736273 0.4873293 -0.7763727 -12.712671 1
+#> 3 1 -2.05 -14.20 0.3509629 -0.3495557 -1.6990371 -14.549556 1
+#> 4 1 -1.55 -3.10 -0.2802599 -0.5390009 -1.8302599 -3.639001 1
+#> 5 1 -1.90 -3.60 0.0371885 1.6414498 -1.8628115 -1.958550 1
+#> 6 1 -13.70 -1.85 0.2838448 0.2564929 -13.4161552 -1.593507 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3560 -35150 9075
+#> initial value 998.131940
+#> iter 2 value 845.998661
+#> iter 3 value 829.960661
+#> iter 4 value 828.715501
+#> iter 5 value 791.443483
+#> iter 6 value 785.171047
+#> iter 7 value 784.298220
+#> iter 8 value 784.278961
+#> iter 9 value 784.278828
+#> iter 10 value 784.278808
+#> iter 11 value 784.278784
+#> iter 12 value 784.278768
+#> iter 12 value 784.278768
+#> iter 12 value 784.278768
+#> final value 784.278768
+#> converged
+#> This is Run number 262
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3449520 1.3607817 -4.6449520 -0.3392183 2
+#> 2 1 -1.35 -13.20 1.2403946 5.0068095 -0.1096054 -8.1931905 1
+#> 3 1 -2.05 -14.20 3.7361379 0.8115122 1.6861379 -13.3884878 1
+#> 4 1 -1.55 -3.10 0.5447718 0.4378975 -1.0052282 -2.6621025 1
+#> 5 1 -1.90 -3.60 1.4625875 -0.4697207 -0.4374125 -4.0697207 1
+#> 6 1 -13.70 -1.85 1.1771646 0.1678368 -12.5228354 -1.6821632 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3440 -35650 10150
+#> initial value 998.131940
+#> iter 2 value 831.771447
+#> iter 3 value 812.231902
+#> iter 4 value 811.331859
+#> iter 5 value 776.159773
+#> iter 6 value 770.187731
+#> iter 7 value 769.546178
+#> iter 8 value 769.529944
+#> iter 9 value 769.529836
+#> iter 10 value 769.529798
+#> iter 11 value 769.529753
+#> iter 12 value 769.529737
+#> iter 12 value 769.529737
+#> iter 12 value 769.529737
+#> final value 769.529737
+#> converged
+#> This is Run number 263
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.02773291 -0.85662533 -4.2722671 -2.556625 2
+#> 2 1 -1.35 -13.20 1.82243232 1.80897747 0.4724323 -11.391023 1
+#> 3 1 -2.05 -14.20 0.48172660 2.76861413 -1.5682734 -11.431386 1
+#> 4 1 -1.55 -3.10 -0.70319068 5.46126606 -2.2531907 2.361266 2
+#> 5 1 -1.90 -3.60 0.08534689 -0.06307753 -1.8146531 -3.663078 1
+#> 6 1 -13.70 -1.85 0.39479141 -0.73122158 -13.3052086 -2.581222 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -38875 9800
+#> initial value 998.131940
+#> iter 2 value 789.304516
+#> iter 3 value 770.849614
+#> iter 4 value 768.846063
+#> iter 5 value 738.778965
+#> iter 6 value 732.107177
+#> iter 7 value 731.325842
+#> iter 8 value 731.290536
+#> iter 9 value 731.290451
+#> iter 10 value 731.290389
+#> iter 10 value 731.290380
+#> iter 10 value 731.290380
+#> final value 731.290380
+#> converged
+#> This is Run number 264
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.5731511 1.2641881 -1.7268489 -0.4358119 2
+#> 2 1 -1.35 -13.20 0.4350641 3.6733788 -0.9149359 -9.5266212 1
+#> 3 1 -2.05 -14.20 -0.2369047 -0.1394810 -2.2869047 -14.3394810 1
+#> 4 1 -1.55 -3.10 5.3569479 -1.5406788 3.8069479 -4.6406788 1
+#> 5 1 -1.90 -3.60 1.3997442 1.9697933 -0.5002558 -1.6302067 1
+#> 6 1 -13.70 -1.85 0.6154450 -0.4725836 -13.0845550 -2.3225836 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3380 -37475 9475
+#> initial value 998.131940
+#> iter 2 value 811.837774
+#> iter 3 value 793.285626
+#> iter 4 value 790.160233
+#> iter 5 value 755.639669
+#> iter 6 value 748.932730
+#> iter 7 value 748.043526
+#> iter 8 value 748.014218
+#> iter 9 value 748.014157
+#> iter 9 value 748.014157
+#> iter 9 value 748.014156
+#> final value 748.014156
+#> converged
+#> This is Run number 265
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.1122133 -1.4232204 -4.41221327 -3.123220 2
+#> 2 1 -1.35 -13.20 -0.8345244 0.3043974 -2.18452441 -12.895603 1
+#> 3 1 -2.05 -14.20 0.7901846 -0.1546112 -1.25981544 -14.354611 1
+#> 4 1 -1.55 -3.10 1.5852949 1.4286989 0.03529486 -1.671301 1
+#> 5 1 -1.90 -3.60 0.1970897 1.3575359 -1.70291029 -2.242464 1
+#> 6 1 -13.70 -1.85 0.6955554 0.2187514 -13.00444462 -1.631249 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3860 -36325 8325
+#> initial value 998.131940
+#> iter 2 value 835.932236
+#> iter 3 value 821.902674
+#> iter 4 value 819.867696
+#> iter 5 value 783.460522
+#> iter 6 value 776.508123
+#> iter 7 value 775.364194
+#> iter 8 value 775.335398
+#> iter 9 value 775.335228
+#> iter 9 value 775.335218
+#> iter 9 value 775.335215
+#> final value 775.335215
+#> converged
+#> This is Run number 266
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.1878672 2.5938490 -1.1121328 0.893849 2
+#> 2 1 -1.35 -13.20 0.7934344 0.2175272 -0.5565656 -12.982473 1
+#> 3 1 -2.05 -14.20 1.9408182 0.5670413 -0.1091818 -13.632959 1
+#> 4 1 -1.55 -3.10 1.7567313 -0.2719157 0.2067313 -3.371916 1
+#> 5 1 -1.90 -3.60 -0.1847201 -1.2531899 -2.0847201 -4.853190 1
+#> 6 1 -13.70 -1.85 0.3572718 -0.3193907 -13.3427282 -2.169391 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3520 -36850 9825
+#> initial value 998.131940
+#> iter 2 value 818.271092
+#> iter 3 value 799.395013
+#> iter 4 value 797.602130
+#> iter 5 value 763.423753
+#> iter 6 value 757.006269
+#> iter 7 value 756.236794
+#> iter 8 value 756.212970
+#> iter 9 value 756.212840
+#> iter 10 value 756.212823
+#> iter 11 value 756.212802
+#> iter 11 value 756.212793
+#> iter 11 value 756.212793
+#> final value 756.212793
+#> converged
+#> This is Run number 267
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.0058256 -0.3347861 -3.294174 -2.034786 2
+#> 2 1 -1.35 -13.20 -0.1250784 1.9944657 -1.475078 -11.205534 1
+#> 3 1 -2.05 -14.20 -0.2384357 1.9452786 -2.288436 -12.254721 1
+#> 4 1 -1.55 -3.10 -1.7118747 -0.1083421 -3.261875 -3.208342 2
+#> 5 1 -1.90 -3.60 -0.5013480 -0.9063159 -2.401348 -4.506316 1
+#> 6 1 -13.70 -1.85 -0.4493311 0.6727690 -14.149331 -1.177231 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4000 -36450 9175
+#> initial value 998.131940
+#> iter 2 value 828.802030
+#> iter 3 value 812.907663
+#> iter 4 value 811.865886
+#> iter 5 value 777.300505
+#> iter 6 value 770.648269
+#> iter 7 value 769.769789
+#> iter 8 value 769.746593
+#> iter 9 value 769.746404
+#> iter 10 value 769.746375
+#> iter 11 value 769.746341
+#> iter 12 value 769.746316
+#> iter 12 value 769.746316
+#> iter 12 value 769.746316
+#> final value 769.746316
+#> converged
+#> This is Run number 268
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.297260077 1.7655411 -4.5972601 0.06554109 2
+#> 2 1 -1.35 -13.20 1.886584173 0.6433205 0.5365842 -12.55667953 1
+#> 3 1 -2.05 -14.20 -0.575100566 -0.9327199 -2.6251006 -15.13271993 1
+#> 4 1 -1.55 -3.10 0.477838122 0.7849259 -1.0721619 -2.31507407 1
+#> 5 1 -1.90 -3.60 0.794806490 0.7921832 -1.1051935 -2.80781683 1
+#> 6 1 -13.70 -1.85 -0.005801978 0.7017618 -13.7058020 -1.14823819 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3420 -38100 10300
+#> initial value 998.131940
+#> iter 2 value 796.634066
+#> iter 3 value 775.588873
+#> iter 4 value 772.999922
+#> iter 5 value 740.775643
+#> iter 6 value 734.506125
+#> iter 7 value 733.765630
+#> iter 8 value 733.732386
+#> iter 9 value 733.732329
+#> iter 10 value 733.732289
+#> iter 11 value 733.732268
+#> iter 11 value 733.732263
+#> iter 11 value 733.732263
+#> final value 733.732263
+#> converged
+#> This is Run number 269
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.0685172 -0.2302717 -3.2314828 -1.930272 2
+#> 2 1 -1.35 -13.20 -0.8358627 0.2397564 -2.1858627 -12.960244 1
+#> 3 1 -2.05 -14.20 1.0900767 1.8845133 -0.9599233 -12.315487 1
+#> 4 1 -1.55 -3.10 0.8808273 0.3465636 -0.6691727 -2.753436 1
+#> 5 1 -1.90 -3.60 -0.3753934 0.7879678 -2.2753934 -2.812032 1
+#> 6 1 -13.70 -1.85 0.2922388 0.4079445 -13.4077612 -1.442055 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2860 -34225 10075
+#> initial value 998.131940
+#> iter 2 value 849.196963
+#> iter 3 value 829.165939
+#> iter 4 value 827.899229
+#> iter 5 value 790.022455
+#> iter 6 value 784.497057
+#> iter 7 value 783.883152
+#> iter 8 value 783.870700
+#> iter 9 value 783.870624
+#> iter 9 value 783.870614
+#> iter 9 value 783.870614
+#> final value 783.870614
+#> converged
+#> This is Run number 270
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.44085250 3.1928036 -3.859148 1.4928036 2
+#> 2 1 -1.35 -13.20 2.35796719 -0.7394440 1.007967 -13.9394440 1
+#> 3 1 -2.05 -14.20 0.07595028 -0.3426388 -1.974050 -14.5426388 1
+#> 4 1 -1.55 -3.10 0.51481514 -0.7591116 -1.035185 -3.8591116 1
+#> 5 1 -1.90 -3.60 -0.68009648 -0.5414027 -2.580096 -4.1414027 1
+#> 6 1 -13.70 -1.85 -0.49041152 2.1003527 -14.190412 0.2503527 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3380 -35825 10000
+#> initial value 998.131940
+#> iter 2 value 830.574085
+#> iter 3 value 811.290708
+#> iter 4 value 810.044201
+#> iter 5 value 774.658234
+#> iter 6 value 768.575565
+#> iter 7 value 767.884410
+#> iter 8 value 767.866350
+#> iter 9 value 767.866231
+#> iter 10 value 767.866208
+#> iter 11 value 767.866175
+#> iter 12 value 767.866158
+#> iter 12 value 767.866158
+#> iter 12 value 767.866158
+#> final value 767.866158
+#> converged
+#> This is Run number 271
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.8846903 -1.0580322 -5.1846903 -2.758032 2
+#> 2 1 -1.35 -13.20 0.6054915 -0.4612674 -0.7445085 -13.661267 1
+#> 3 1 -2.05 -14.20 -0.5557992 4.1188871 -2.6057992 -10.081113 1
+#> 4 1 -1.55 -3.10 0.4862993 -0.7415978 -1.0637007 -3.841598 1
+#> 5 1 -1.90 -3.60 0.4978455 -0.6208918 -1.4021545 -4.220892 1
+#> 6 1 -13.70 -1.85 2.8014712 1.0755000 -10.8985288 -0.774500 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4060 -36750 7700
+#> initial value 998.131940
+#> iter 2 value 834.039056
+#> iter 3 value 821.615138
+#> iter 4 value 819.203464
+#> iter 5 value 782.827982
+#> iter 6 value 775.501522
+#> iter 7 value 774.166949
+#> iter 8 value 774.133012
+#> iter 9 value 774.132855
+#> iter 9 value 774.132850
+#> iter 9 value 774.132848
+#> final value 774.132848
+#> converged
+#> This is Run number 272
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.5864532 0.9584641 -1.7135468 -0.74153592 2
+#> 2 1 -1.35 -13.20 -0.9967737 -0.9418503 -2.3467737 -14.14185034 1
+#> 3 1 -2.05 -14.20 1.5928536 2.1784868 -0.4571464 -12.02151324 1
+#> 4 1 -1.55 -3.10 1.2668928 0.7333432 -0.2831072 -2.36665676 1
+#> 5 1 -1.90 -3.60 -0.2485816 1.1668427 -2.1485816 -2.43315729 1
+#> 6 1 -13.70 -1.85 1.5619365 1.8344049 -12.1380635 -0.01559512 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3800 -37075 10475
+#> initial value 998.131940
+#> iter 2 value 810.418164
+#> iter 3 value 790.105847
+#> iter 4 value 789.434654
+#> iter 5 value 757.093241
+#> iter 6 value 750.953292
+#> iter 7 value 750.345181
+#> iter 8 value 750.324085
+#> iter 9 value 750.323986
+#> iter 10 value 750.323843
+#> iter 10 value 750.323840
+#> iter 10 value 750.323840
+#> final value 750.323840
+#> converged
+#> This is Run number 273
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.4296232 1.1657927 -0.87037680 -0.5342073 2
+#> 2 1 -1.35 -13.20 0.3785797 -0.6716367 -0.97142028 -13.8716367 1
+#> 3 1 -2.05 -14.20 3.1503358 2.7629793 1.10033584 -11.4370207 1
+#> 4 1 -1.55 -3.10 1.5144860 0.9781115 -0.03551396 -2.1218885 1
+#> 5 1 -1.90 -3.60 0.2148252 2.0128309 -1.68517485 -1.5871691 2
+#> 6 1 -13.70 -1.85 -1.2091939 0.9565019 -14.90919388 -0.8934981 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2900 -35025 9975
+#> initial value 998.131940
+#> iter 2 value 840.298471
+#> iter 3 value 820.308755
+#> iter 4 value 818.534164
+#> iter 5 value 781.048119
+#> iter 6 value 775.211181
+#> iter 7 value 774.521135
+#> iter 8 value 774.505037
+#> iter 9 value 774.504947
+#> iter 9 value 774.504943
+#> iter 9 value 774.504943
+#> final value 774.504943
+#> converged
+#> This is Run number 274
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.8692426 -0.08853041 -3.4307574 -1.788530 2
+#> 2 1 -1.35 -13.20 1.5950548 0.82455526 0.2450548 -12.375445 1
+#> 3 1 -2.05 -14.20 -0.1156399 0.88150737 -2.1656399 -13.318493 1
+#> 4 1 -1.55 -3.10 1.1909921 3.57613795 -0.3590079 0.476138 2
+#> 5 1 -1.90 -3.60 0.3810135 0.34992742 -1.5189865 -3.250073 1
+#> 6 1 -13.70 -1.85 4.1452179 -1.19407757 -9.5547821 -3.044078 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3960 -37275 9250
+#> initial value 998.131940
+#> iter 2 value 816.857727
+#> iter 3 value 800.368886
+#> iter 4 value 798.766754
+#> iter 5 value 765.405659
+#> iter 6 value 758.591693
+#> iter 7 value 757.706204
+#> iter 8 value 757.679307
+#> iter 9 value 757.679118
+#> iter 9 value 757.679116
+#> iter 9 value 757.679116
+#> final value 757.679116
+#> converged
+#> This is Run number 275
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.9939241 1.7756187 -5.293924 0.07561875 2
+#> 2 1 -1.35 -13.20 -0.1807795 -0.1500516 -1.530779 -13.35005160 1
+#> 3 1 -2.05 -14.20 4.8516757 1.4889315 2.801676 -12.71106854 1
+#> 4 1 -1.55 -3.10 -0.5514148 2.6633440 -2.101415 -0.43665598 2
+#> 5 1 -1.90 -3.60 0.2104319 -0.3821815 -1.689568 -3.98218152 1
+#> 6 1 -13.70 -1.85 -0.3826189 1.3914857 -14.082619 -0.45851432 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2720 -35875 9600
+#> initial value 998.131940
+#> iter 2 value 831.875381
+#> iter 3 value 812.030810
+#> iter 4 value 808.908767
+#> iter 5 value 770.260601
+#> iter 6 value 763.965406
+#> iter 7 value 763.124279
+#> iter 8 value 763.102984
+#> iter 9 value 763.102940
+#> iter 9 value 763.102938
+#> iter 9 value 763.102937
+#> final value 763.102937
+#> converged
+#> This is Run number 276
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2149605 1.16000011 -4.5149605 -0.5399999 2
+#> 2 1 -1.35 -13.20 0.3652940 -0.48930531 -0.9847060 -13.6893053 1
+#> 3 1 -2.05 -14.20 0.8535364 0.06935600 -1.1964636 -14.1306440 1
+#> 4 1 -1.55 -3.10 0.5979875 -1.05587689 -0.9520125 -4.1558769 1
+#> 5 1 -1.90 -3.60 0.3546107 1.07190840 -1.5453893 -2.5280916 1
+#> 6 1 -13.70 -1.85 1.4883728 -0.09927243 -12.2116272 -1.9492724 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2880 -35950 9800
+#> initial value 998.131940
+#> iter 2 value 829.720410
+#> iter 3 value 809.734030
+#> iter 4 value 807.039095
+#> iter 5 value 769.734097
+#> iter 6 value 763.537164
+#> iter 7 value 762.746450
+#> iter 8 value 762.725268
+#> iter 9 value 762.725196
+#> iter 9 value 762.725193
+#> iter 9 value 762.725192
+#> final value 762.725192
+#> converged
+#> This is Run number 277
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.65924784 0.8502692 -3.6407522 -0.8497308 2
+#> 2 1 -1.35 -13.20 1.00967078 -0.1803763 -0.3403292 -13.3803763 1
+#> 3 1 -2.05 -14.20 1.82346536 -0.1708252 -0.2265346 -14.3708252 1
+#> 4 1 -1.55 -3.10 1.86236167 1.3832776 0.3123617 -1.7167224 1
+#> 5 1 -1.90 -3.60 -0.05956054 1.0287386 -1.9595605 -2.5712614 1
+#> 6 1 -13.70 -1.85 -0.57228174 -0.6286713 -14.2722817 -2.4786713 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3580 -36275 10625
+#> initial value 998.131940
+#> iter 2 value 819.973966
+#> iter 3 value 799.004994
+#> iter 4 value 798.417446
+#> iter 5 value 764.934940
+#> iter 6 value 759.039878
+#> iter 7 value 758.474044
+#> iter 8 value 758.456933
+#> iter 9 value 758.456848
+#> iter 10 value 758.456728
+#> iter 11 value 758.456703
+#> iter 12 value 758.456678
+#> iter 12 value 758.456678
+#> iter 12 value 758.456678
+#> final value 758.456678
+#> converged
+#> This is Run number 278
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.5955690 0.6898540 -4.895569 -1.010146 2
+#> 2 1 -1.35 -13.20 -0.4644962 1.1489700 -1.814496 -12.051030 1
+#> 3 1 -2.05 -14.20 0.5786765 -0.1760435 -1.471324 -14.376044 1
+#> 4 1 -1.55 -3.10 -0.0638652 -0.7688789 -1.613865 -3.868879 1
+#> 5 1 -1.90 -3.60 -0.3626010 -0.5565446 -2.262601 -4.156545 1
+#> 6 1 -13.70 -1.85 1.7420639 0.8386699 -11.957936 -1.011330 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -38150 9425
+#> initial value 998.131940
+#> iter 2 value 803.252507
+#> iter 3 value 787.234788
+#> iter 4 value 786.688435
+#> iter 5 value 756.096247
+#> iter 6 value 749.168712
+#> iter 7 value 748.394136
+#> iter 8 value 748.367338
+#> iter 9 value 748.367141
+#> iter 10 value 748.367064
+#> iter 11 value 748.366989
+#> iter 12 value 748.366975
+#> iter 12 value 748.366975
+#> iter 12 value 748.366975
+#> final value 748.366975
+#> converged
+#> This is Run number 279
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.9495852 0.04085807 -3.3504148 -1.659142 2
+#> 2 1 -1.35 -13.20 1.6351978 0.21844616 0.2851978 -12.981554 1
+#> 3 1 -2.05 -14.20 -0.1492538 1.04551914 -2.1992538 -13.154481 1
+#> 4 1 -1.55 -3.10 -1.1868328 1.94466654 -2.7368328 -1.155333 2
+#> 5 1 -1.90 -3.60 -1.1316174 1.91541746 -3.0316174 -1.684583 2
+#> 6 1 -13.70 -1.85 -0.5901538 4.81269775 -14.2901538 2.962698 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -36250 9950
+#> initial value 998.131940
+#> iter 2 value 826.018270
+#> iter 3 value 808.414068
+#> iter 4 value 808.311770
+#> iter 5 value 774.883924
+#> iter 6 value 768.575295
+#> iter 7 value 767.946266
+#> iter 8 value 767.930793
+#> iter 9 value 767.930691
+#> iter 10 value 767.930642
+#> iter 11 value 767.930561
+#> iter 12 value 767.930517
+#> iter 12 value 767.930517
+#> iter 12 value 767.930517
+#> final value 767.930517
+#> converged
+#> This is Run number 280
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.23969053 0.5951754 -3.060309 -1.1048246 2
+#> 2 1 -1.35 -13.20 -1.34150260 2.4165398 -2.691503 -10.7834602 1
+#> 3 1 -2.05 -14.20 0.42909751 -0.1131271 -1.620902 -14.3131271 1
+#> 4 1 -1.55 -3.10 -1.00166778 0.9837743 -2.551668 -2.1162257 2
+#> 5 1 -1.90 -3.60 -0.09649942 0.9232528 -1.996499 -2.6767472 1
+#> 6 1 -13.70 -1.85 0.79363274 1.4339963 -12.906367 -0.4160037 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3880 -36825 8775
+#> initial value 998.131940
+#> iter 2 value 826.287266
+#> iter 3 value 811.019837
+#> iter 4 value 809.062091
+#> iter 5 value 774.156081
+#> iter 6 value 767.239249
+#> iter 7 value 766.219732
+#> iter 8 value 766.191913
+#> iter 9 value 766.191728
+#> iter 10 value 766.191715
+#> iter 10 value 766.191709
+#> iter 10 value 766.191709
+#> final value 766.191709
+#> converged
+#> This is Run number 281
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.3724159 -0.7138428 -0.9275841 -2.4138428 1
+#> 2 1 -1.35 -13.20 1.9066279 0.5807313 0.5566279 -12.6192687 1
+#> 3 1 -2.05 -14.20 2.3269168 0.7649224 0.2769168 -13.4350776 1
+#> 4 1 -1.55 -3.10 0.3179216 1.0680150 -1.2320784 -2.0319850 1
+#> 5 1 -1.90 -3.60 -0.9249058 1.6567853 -2.8249058 -1.9432147 2
+#> 6 1 -13.70 -1.85 -0.1299589 2.4710548 -13.8299589 0.6210548 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -37625 8125
+#> initial value 998.131940
+#> iter 2 value 819.459136
+#> iter 3 value 806.577000
+#> iter 4 value 804.718901
+#> iter 5 value 771.547942
+#> iter 6 value 764.197625
+#> iter 7 value 762.992773
+#> iter 8 value 762.956848
+#> iter 9 value 762.956589
+#> iter 10 value 762.956573
+#> iter 10 value 762.956569
+#> iter 10 value 762.956563
+#> final value 762.956563
+#> converged
+#> This is Run number 282
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.1738455 1.0148237 -4.4738455 -0.6851763 2
+#> 2 1 -1.35 -13.20 1.6366625 -0.5205017 0.2866625 -13.7205017 1
+#> 3 1 -2.05 -14.20 -0.5760980 -0.8041983 -2.6260980 -15.0041983 1
+#> 4 1 -1.55 -3.10 1.7372621 8.7574688 0.1872621 5.6574688 2
+#> 5 1 -1.90 -3.60 -0.6541562 0.3302044 -2.5541562 -3.2697956 1
+#> 6 1 -13.70 -1.85 0.4267607 1.3811447 -13.2732393 -0.4688553 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3640 -37950 9400
+#> initial value 998.131940
+#> iter 2 value 805.779052
+#> iter 3 value 787.857053
+#> iter 4 value 784.945122
+#> iter 5 value 751.835432
+#> iter 6 value 745.012969
+#> iter 7 value 744.119421
+#> iter 8 value 744.087869
+#> iter 9 value 744.087796
+#> iter 9 value 744.087793
+#> iter 9 value 744.087793
+#> final value 744.087793
+#> converged
+#> This is Run number 283
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.4621152 2.87549980 -4.7621152 1.175500 2
+#> 2 1 -1.35 -13.20 -1.2423211 0.06155155 -2.5923211 -13.138448 1
+#> 3 1 -2.05 -14.20 0.2065546 -0.30117746 -1.8434454 -14.501177 1
+#> 4 1 -1.55 -3.10 0.7034376 0.88359199 -0.8465624 -2.216408 1
+#> 5 1 -1.90 -3.60 2.5234225 1.99824838 0.6234225 -1.601752 1
+#> 6 1 -13.70 -1.85 0.9399678 0.22023403 -12.7600322 -1.629766 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3740 -36900 10300
+#> initial value 998.131940
+#> iter 2 value 814.184553
+#> iter 3 value 794.358875
+#> iter 4 value 793.515514
+#> iter 5 value 760.601741
+#> iter 6 value 754.399379
+#> iter 7 value 753.758604
+#> iter 8 value 753.737636
+#> iter 9 value 753.737524
+#> iter 10 value 753.737428
+#> iter 11 value 753.737389
+#> iter 12 value 753.737376
+#> iter 12 value 753.737376
+#> iter 12 value 753.737376
+#> final value 753.737376
+#> converged
+#> This is Run number 284
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2543718 0.82039274 -4.5543718 -0.8796073 2
+#> 2 1 -1.35 -13.20 -0.2293674 2.22452746 -1.5793674 -10.9754725 1
+#> 3 1 -2.05 -14.20 0.1790066 8.89022519 -1.8709934 -5.3097748 1
+#> 4 1 -1.55 -3.10 0.7666606 -0.57941848 -0.7833394 -3.6794185 1
+#> 5 1 -1.90 -3.60 0.3754616 0.33847883 -1.5245384 -3.2615212 1
+#> 6 1 -13.70 -1.85 -0.2416376 -0.05438357 -13.9416376 -1.9043836 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3660 -35625 9375
+#> initial value 998.131940
+#> iter 2 value 838.003420
+#> iter 3 value 821.182253
+#> iter 4 value 820.097064
+#> iter 5 value 784.087876
+#> iter 6 value 777.771439
+#> iter 7 value 776.960009
+#> iter 8 value 776.940817
+#> iter 9 value 776.940672
+#> iter 9 value 776.940671
+#> iter 9 value 776.940671
+#> final value 776.940671
+#> converged
+#> This is Run number 285
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.9192052 0.4491581 -3.380795 -1.2508419 2
+#> 2 1 -1.35 -13.20 -0.8978812 0.9419500 -2.247881 -12.2580500 1
+#> 3 1 -2.05 -14.20 -0.6863244 -0.5797289 -2.736324 -14.7797289 1
+#> 4 1 -1.55 -3.10 2.5556326 2.8609007 1.005633 -0.2390993 1
+#> 5 1 -1.90 -3.60 0.1164613 1.0597029 -1.783539 -2.5402971 1
+#> 6 1 -13.70 -1.85 -1.3085983 0.8753279 -15.008598 -0.9746721 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3200 -37750 9150
+#> initial value 998.131940
+#> iter 2 value 809.872853
+#> iter 3 value 791.499414
+#> iter 4 value 787.308000
+#> iter 5 value 751.414891
+#> iter 6 value 744.486596
+#> iter 7 value 743.503383
+#> iter 8 value 743.471531
+#> iter 8 value 743.471527
+#> final value 743.471527
+#> converged
+#> This is Run number 286
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2781249 -0.7191799 -4.578125e+00 -2.419180 2
+#> 2 1 -1.35 -13.20 1.3499826 -0.2496119 -1.739901e-05 -13.449612 1
+#> 3 1 -2.05 -14.20 -0.6414822 1.7920959 -2.691482e+00 -12.407904 1
+#> 4 1 -1.55 -3.10 1.2562421 1.9046706 -2.937579e-01 -1.195329 1
+#> 5 1 -1.90 -3.60 1.1127941 1.2013736 -7.872059e-01 -2.398626 1
+#> 6 1 -13.70 -1.85 -0.9778270 -1.0791675 -1.467783e+01 -2.929167 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3840 -37450 9550
+#> initial value 998.131940
+#> iter 2 value 812.151914
+#> iter 3 value 794.521960
+#> iter 4 value 792.806359
+#> iter 5 value 759.823345
+#> iter 6 value 753.131310
+#> iter 7 value 752.308301
+#> iter 8 value 752.281400
+#> iter 9 value 752.281244
+#> iter 10 value 752.281227
+#> iter 11 value 752.281206
+#> iter 12 value 752.281193
+#> iter 12 value 752.281193
+#> iter 12 value 752.281193
+#> final value 752.281193
+#> converged
+#> This is Run number 287
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.01002142 -0.09028931 -4.2899786 -1.7902893 2
+#> 2 1 -1.35 -13.20 0.89112257 -0.53238291 -0.4588774 -13.7323829 1
+#> 3 1 -2.05 -14.20 0.45559321 -0.60047563 -1.5944068 -14.8004756 1
+#> 4 1 -1.55 -3.10 -0.79662707 0.59398617 -2.3466271 -2.5060138 1
+#> 5 1 -1.90 -3.60 -0.08803459 -0.45434818 -1.9880346 -4.0543482 1
+#> 6 1 -13.70 -1.85 -1.23708278 1.12219741 -14.9370828 -0.7278026 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3960 -39650 9625
+#> initial value 998.131940
+#> iter 2 value 778.315333
+#> iter 3 value 759.801100
+#> iter 4 value 756.487358
+#> iter 5 value 727.172069
+#> iter 6 value 720.491963
+#> iter 7 value 719.635180
+#> iter 8 value 719.590215
+#> iter 9 value 719.590164
+#> iter 9 value 719.590157
+#> iter 9 value 719.590148
+#> final value 719.590148
+#> converged
+#> This is Run number 288
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.005592474 1.5207816 -4.3055925 -0.1792184 2
+#> 2 1 -1.35 -13.20 1.461260638 -1.3298460 0.1112606 -14.5298460 1
+#> 3 1 -2.05 -14.20 -0.099191314 0.9397799 -2.1491913 -13.2602201 1
+#> 4 1 -1.55 -3.10 -0.177414215 0.5431427 -1.7274142 -2.5568573 1
+#> 5 1 -1.90 -3.60 -1.218760102 0.4557266 -3.1187601 -3.1442734 1
+#> 6 1 -13.70 -1.85 -0.097528034 1.3205385 -13.7975280 -0.5294615 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4240 -36875 10475
+#> initial value 998.131940
+#> iter 2 value 813.455758
+#> iter 3 value 793.995916
+#> iter 4 value 793.932201
+#> iter 5 value 762.000764
+#> iter 6 value 755.841071
+#> iter 7 value 755.292564
+#> iter 8 value 755.275988
+#> iter 9 value 755.275917
+#> iter 10 value 755.275695
+#> iter 11 value 755.275679
+#> iter 12 value 755.275642
+#> iter 12 value 755.275642
+#> iter 12 value 755.275642
+#> final value 755.275642
+#> converged
+#> This is Run number 289
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.4661131 0.65126080 -2.8338869 -1.048739 2
+#> 2 1 -1.35 -13.20 2.2461491 0.04720438 0.8961491 -13.152796 1
+#> 3 1 -2.05 -14.20 2.6758012 1.23077588 0.6258012 -12.969224 1
+#> 4 1 -1.55 -3.10 0.1523104 1.39854980 -1.3976896 -1.701450 1
+#> 5 1 -1.90 -3.60 -0.5243699 0.47053169 -2.4243699 -3.129468 1
+#> 6 1 -13.70 -1.85 0.2634620 -1.19315477 -13.4365380 -3.043155 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -37475 9175
+#> initial value 998.131940
+#> iter 2 value 814.516557
+#> iter 3 value 798.099422
+#> iter 4 value 796.208907
+#> iter 5 value 762.989562
+#> iter 6 value 756.103005
+#> iter 7 value 755.191031
+#> iter 8 value 755.162656
+#> iter 9 value 755.162477
+#> iter 10 value 755.162464
+#> iter 10 value 755.162454
+#> iter 10 value 755.162452
+#> final value 755.162452
+#> converged
+#> This is Run number 290
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.8811203 1.663137129 -3.418880 -0.03686287 2
+#> 2 1 -1.35 -13.20 -0.3469506 -0.037427947 -1.696951 -13.23742795 1
+#> 3 1 -2.05 -14.20 -1.4438596 -1.213313887 -3.493860 -15.41331389 1
+#> 4 1 -1.55 -3.10 3.8646143 0.009510164 2.314614 -3.09048984 1
+#> 5 1 -1.90 -3.60 -0.1882801 0.585403505 -2.088280 -3.01459649 1
+#> 6 1 -13.70 -1.85 0.5424111 0.972658397 -13.157589 -0.87734160 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3640 -36900 9100
+#> initial value 998.131940
+#> iter 2 value 822.853991
+#> iter 3 value 806.190765
+#> iter 4 value 803.899207
+#> iter 5 value 768.924265
+#> iter 6 value 762.128850
+#> iter 7 value 761.185105
+#> iter 8 value 761.158575
+#> iter 9 value 761.158431
+#> iter 9 value 761.158422
+#> iter 9 value 761.158418
+#> final value 761.158418
+#> converged
+#> This is Run number 291
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.0853070 -0.32616675 -3.2146930 -2.026167 2
+#> 2 1 -1.35 -13.20 0.5094719 1.98171261 -0.8405281 -11.218287 1
+#> 3 1 -2.05 -14.20 -0.4060204 0.71436516 -2.4560204 -13.485635 1
+#> 4 1 -1.55 -3.10 -0.7885654 0.04206053 -2.3385654 -3.057939 1
+#> 5 1 -1.90 -3.60 -1.4000297 -1.02485418 -3.3000297 -4.624854 1
+#> 6 1 -13.70 -1.85 1.1430852 0.02071279 -12.5569148 -1.829287 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3340 -37525 9675
+#> initial value 998.131940
+#> iter 2 value 809.632510
+#> iter 3 value 790.419283
+#> iter 4 value 787.353865
+#> iter 5 value 753.121434
+#> iter 6 value 746.525313
+#> iter 7 value 745.674251
+#> iter 8 value 745.644612
+#> iter 9 value 745.644554
+#> iter 9 value 745.644552
+#> iter 9 value 745.644552
+#> final value 745.644552
+#> converged
+#> This is Run number 292
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.1433160 0.07142622 -1.156684 -1.628574 1
+#> 2 1 -1.35 -13.20 0.1913835 -0.02872590 -1.158617 -13.228726 1
+#> 3 1 -2.05 -14.20 0.6928527 -0.73433850 -1.357147 -14.934338 1
+#> 4 1 -1.55 -3.10 0.4106620 -0.11144728 -1.139338 -3.211447 1
+#> 5 1 -1.90 -3.60 0.7939931 1.71694440 -1.106007 -1.883056 1
+#> 6 1 -13.70 -1.85 0.4827185 -0.50745524 -13.217282 -2.357455 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3220 -36350 9625
+#> initial value 998.131940
+#> iter 2 value 826.181938
+#> iter 3 value 807.363463
+#> iter 4 value 804.993375
+#> iter 5 value 768.978549
+#> iter 6 value 762.582959
+#> iter 7 value 761.759766
+#> iter 8 value 761.736951
+#> iter 9 value 761.736846
+#> iter 9 value 761.736840
+#> iter 9 value 761.736837
+#> final value 761.736837
+#> converged
+#> This is Run number 293
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.2939135 0.02065534 -4.0060865 -1.679345 2
+#> 2 1 -1.35 -13.20 -0.1326837 -0.20675743 -1.4826837 -13.406757 1
+#> 3 1 -2.05 -14.20 -1.2082286 -0.21184312 -3.2582286 -14.411843 1
+#> 4 1 -1.55 -3.10 0.9435201 -0.69104557 -0.6064799 -3.791046 1
+#> 5 1 -1.90 -3.60 0.3128266 -0.28131191 -1.5871734 -3.881312 1
+#> 6 1 -13.70 -1.85 -0.9348729 0.36685095 -14.6348729 -1.483149 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3380 -37600 10000
+#> initial value 998.131940
+#> iter 2 value 806.200388
+#> iter 3 value 786.153894
+#> iter 4 value 783.528473
+#> iter 5 value 750.105259
+#> iter 6 value 743.687310
+#> iter 7 value 742.907147
+#> iter 8 value 742.877656
+#> iter 9 value 742.877586
+#> iter 10 value 742.877570
+#> iter 10 value 742.877569
+#> iter 10 value 742.877566
+#> final value 742.877566
+#> converged
+#> This is Run number 294
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.2047734 -0.07117040 -2.0952266 -1.7711704 2
+#> 2 1 -1.35 -13.20 0.6273771 0.82898458 -0.7226229 -12.3710154 1
+#> 3 1 -2.05 -14.20 -1.5258126 0.01659252 -3.5758126 -14.1834075 1
+#> 4 1 -1.55 -3.10 0.1286212 0.18653849 -1.4213788 -2.9134615 1
+#> 5 1 -1.90 -3.60 0.3785517 -1.37234667 -1.5214483 -4.9723467 1
+#> 6 1 -13.70 -1.85 1.5414486 1.95913569 -12.1585514 0.1091357 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4300 -38125 9025
+#> initial value 998.131940
+#> iter 2 value 806.310214
+#> iter 3 value 790.792672
+#> iter 4 value 789.187862
+#> iter 5 value 757.635089
+#> iter 6 value 750.555232
+#> iter 7 value 749.631805
+#> iter 8 value 749.600634
+#> iter 9 value 749.600422
+#> iter 9 value 749.600417
+#> iter 9 value 749.600417
+#> final value 749.600417
+#> converged
+#> This is Run number 295
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.71032338 0.4496104 -3.589677 -1.250390 2
+#> 2 1 -1.35 -13.20 0.09175558 0.5889391 -1.258244 -12.611061 1
+#> 3 1 -2.05 -14.20 0.16241848 1.0097580 -1.887582 -13.190242 1
+#> 4 1 -1.55 -3.10 -0.45753970 -0.1996863 -2.007540 -3.299686 1
+#> 5 1 -1.90 -3.60 0.87464914 -0.1078819 -1.025351 -3.707882 1
+#> 6 1 -13.70 -1.85 -0.49093673 0.5167196 -14.190937 -1.333280 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3820 -35250 9925
+#> initial value 998.131940
+#> iter 2 value 838.906152
+#> iter 3 value 820.917290
+#> iter 4 value 820.617848
+#> iter 5 value 785.343048
+#> iter 6 value 779.341864
+#> iter 7 value 778.707821
+#> iter 8 value 778.694325
+#> iter 9 value 778.694229
+#> iter 9 value 778.694218
+#> iter 9 value 778.694218
+#> final value 778.694218
+#> converged
+#> This is Run number 296
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.0842912 2.9801989 -2.2157088 1.280199 2
+#> 2 1 -1.35 -13.20 -0.2484459 1.5819958 -1.5984459 -11.618004 1
+#> 3 1 -2.05 -14.20 -0.2005461 -0.8319286 -2.2505461 -15.031929 1
+#> 4 1 -1.55 -3.10 0.6557030 0.2774537 -0.8942970 -2.822546 1
+#> 5 1 -1.90 -3.60 1.2920698 0.4368375 -0.6079302 -3.163163 1
+#> 6 1 -13.70 -1.85 -0.5797298 -0.3305493 -14.2797298 -2.180549 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3340 -37600 10500
+#> initial value 998.131940
+#> iter 2 value 802.282533
+#> iter 3 value 780.660276
+#> iter 4 value 778.535833
+#> iter 5 value 745.783413
+#> iter 6 value 739.674243
+#> iter 7 value 738.986388
+#> iter 8 value 738.957444
+#> iter 9 value 738.957374
+#> iter 10 value 738.957316
+#> iter 10 value 738.957313
+#> iter 10 value 738.957313
+#> final value 738.957313
+#> converged
+#> This is Run number 297
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.4525657 1.76602532 -3.8474343 0.06602532 2
+#> 2 1 -1.35 -13.20 0.5009320 -0.09320628 -0.8490680 -13.29320628 1
+#> 3 1 -2.05 -14.20 0.1526725 -0.36450670 -1.8973275 -14.56450670 1
+#> 4 1 -1.55 -3.10 0.5506733 -1.23468605 -0.9993267 -4.33468605 1
+#> 5 1 -1.90 -3.60 -0.8312825 0.66470437 -2.7312825 -2.93529563 1
+#> 6 1 -13.70 -1.85 -0.2482654 -0.89197829 -13.9482654 -2.74197829 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3180 -38175 10050
+#> initial value 998.131940
+#> iter 2 value 797.112475
+#> iter 3 value 776.107109
+#> iter 4 value 772.307630
+#> iter 5 value 738.841613
+#> iter 6 value 732.450683
+#> iter 7 value 731.625117
+#> iter 8 value 731.588302
+#> iter 9 value 731.588282
+#> iter 9 value 731.588278
+#> iter 9 value 731.588275
+#> final value 731.588275
+#> converged
+#> This is Run number 298
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.8740672 -0.05785213 -3.4259328 -1.7578521 2
+#> 2 1 -1.35 -13.20 0.5307493 0.34144189 -0.8192507 -12.8585581 1
+#> 3 1 -2.05 -14.20 0.9586017 1.93236110 -1.0913983 -12.2676389 1
+#> 4 1 -1.55 -3.10 2.5131304 0.74722245 0.9631304 -2.3527776 1
+#> 5 1 -1.90 -3.60 0.1505890 0.37048629 -1.7494110 -3.2295137 1
+#> 6 1 -13.70 -1.85 0.7498464 1.32263263 -12.9501536 -0.5273674 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3640 -36850 8975
+#> initial value 998.131940
+#> iter 2 value 824.390255
+#> iter 3 value 808.064588
+#> iter 4 value 805.688929
+#> iter 5 value 770.427020
+#> iter 6 value 763.583438
+#> iter 7 value 762.607730
+#> iter 8 value 762.580942
+#> iter 9 value 762.580800
+#> iter 9 value 762.580792
+#> iter 9 value 762.580789
+#> final value 762.580789
+#> converged
+#> This is Run number 299
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.535986552 3.2562979 -3.764013 1.556298 2
+#> 2 1 -1.35 -13.20 0.025330936 1.0122806 -1.324669 -12.187719 1
+#> 3 1 -2.05 -14.20 0.224726808 -0.9748976 -1.825273 -15.174898 1
+#> 4 1 -1.55 -3.10 -0.005009977 -1.0854870 -1.555010 -4.185487 1
+#> 5 1 -1.90 -3.60 4.078611722 0.4503419 2.178612 -3.149658 1
+#> 6 1 -13.70 -1.85 1.387087027 -0.2563283 -12.312913 -2.106328 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3600 -38850 9900
+#> initial value 998.131940
+#> iter 2 value 788.541555
+#> iter 3 value 768.746015
+#> iter 4 value 765.434140
+#> iter 5 value 734.156886
+#> iter 6 value 727.622226
+#> iter 7 value 726.795831
+#> iter 8 value 726.756086
+#> iter 9 value 726.756049
+#> iter 9 value 726.756041
+#> iter 9 value 726.756041
+#> final value 726.756041
+#> converged
+#> This is Run number 300
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.1305557 -0.2195508 -4.430556 -1.919551 2
+#> 2 1 -1.35 -13.20 -0.9131808 -1.0618957 -2.263181 -14.261896 1
+#> 3 1 -2.05 -14.20 -0.7058601 0.7136836 -2.755860 -13.486316 1
+#> 4 1 -1.55 -3.10 -0.9529417 1.4572564 -2.502942 -1.642744 2
+#> 5 1 -1.90 -3.60 -0.7428810 0.2989471 -2.642881 -3.301053 1
+#> 6 1 -13.70 -1.85 -0.7942698 0.1806720 -14.494270 -1.669328 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3960 -37900 9175
+#> initial value 998.131940
+#> iter 2 value 808.380080
+#> iter 3 value 791.828547
+#> iter 4 value 789.638738
+#> iter 5 value 757.102103
+#> iter 6 value 750.145767
+#> iter 7 value 749.230232
+#> iter 8 value 749.199696
+#> iter 9 value 749.199544
+#> iter 9 value 749.199543
+#> iter 9 value 749.199543
+#> final value 749.199543
+#> converged
+#> This is Run number 301
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.96884238 -0.4213779 -2.3311576 -2.1213779 2
+#> 2 1 -1.35 -13.20 3.63900789 0.8245054 2.2890079 -12.3754946 1
+#> 3 1 -2.05 -14.20 0.20440814 0.1640179 -1.8455919 -14.0359821 1
+#> 4 1 -1.55 -3.10 -0.03692513 -1.6044449 -1.5869251 -4.7044449 1
+#> 5 1 -1.90 -3.60 1.52520611 0.2378934 -0.3747939 -3.3621066 1
+#> 6 1 -13.70 -1.85 2.58913422 1.6599832 -11.1108658 -0.1900168 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3440 -35775 9500
+#> initial value 998.131940
+#> iter 2 value 834.953626
+#> iter 3 value 817.255196
+#> iter 4 value 815.724454
+#> iter 5 value 779.563938
+#> iter 6 value 773.261753
+#> iter 7 value 772.456495
+#> iter 8 value 772.436597
+#> iter 9 value 772.436461
+#> iter 10 value 772.436444
+#> iter 11 value 772.436425
+#> iter 12 value 772.436411
+#> iter 12 value 772.436411
+#> iter 12 value 772.436411
+#> final value 772.436411
+#> converged
+#> This is Run number 302
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.4235302 2.3801462 -4.7235302 0.6801462 2
+#> 2 1 -1.35 -13.20 -0.1771884 -0.1908309 -1.5271884 -13.3908309 1
+#> 3 1 -2.05 -14.20 0.6439952 0.3946314 -1.4060048 -13.8053686 1
+#> 4 1 -1.55 -3.10 0.4212451 0.1238533 -1.1287549 -2.9761467 1
+#> 5 1 -1.90 -3.60 0.9911122 0.2551301 -0.9088878 -3.3448699 1
+#> 6 1 -13.70 -1.85 0.1755289 -0.9636964 -13.5244711 -2.8136964 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3800 -35725 9250
+#> initial value 998.131940
+#> iter 2 value 837.709156
+#> iter 3 value 821.476981
+#> iter 4 value 820.506411
+#> iter 5 value 784.707210
+#> iter 6 value 778.305069
+#> iter 7 value 777.464878
+#> iter 8 value 777.444906
+#> iter 9 value 777.444751
+#> iter 10 value 777.444723
+#> iter 11 value 777.444687
+#> iter 12 value 777.444664
+#> iter 12 value 777.444664
+#> iter 12 value 777.444664
+#> final value 777.444664
+#> converged
+#> This is Run number 303
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.4697567 0.59650018 -3.8302433 -1.103500 2
+#> 2 1 -1.35 -13.20 -0.4048320 0.07684201 -1.7548320 -13.123158 1
+#> 3 1 -2.05 -14.20 -0.6660483 -0.20546598 -2.7160483 -14.405466 1
+#> 4 1 -1.55 -3.10 0.5192982 -0.65527423 -1.0307018 -3.755274 1
+#> 5 1 -1.90 -3.60 2.8411354 -0.12114279 0.9411354 -3.721143 1
+#> 6 1 -13.70 -1.85 0.7787265 0.42952182 -12.9212735 -1.420478 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3600 -36375 8875
+#> initial value 998.131940
+#> iter 2 value 831.490661
+#> iter 3 value 815.534854
+#> iter 4 value 813.356731
+#> iter 5 value 777.201297
+#> iter 6 value 770.441309
+#> iter 7 value 769.449860
+#> iter 8 value 769.424513
+#> iter 9 value 769.424367
+#> iter 9 value 769.424357
+#> iter 9 value 769.424354
+#> final value 769.424354
+#> converged
+#> This is Run number 304
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.3599237 1.1799069 -5.6599237 -0.5200931 2
+#> 2 1 -1.35 -13.20 0.4157643 -0.5178277 -0.9342357 -13.7178277 1
+#> 3 1 -2.05 -14.20 1.1719835 1.4267764 -0.8780165 -12.7732236 1
+#> 4 1 -1.55 -3.10 1.6005013 3.2606037 0.0505013 0.1606037 2
+#> 5 1 -1.90 -3.60 2.1851942 -0.5429896 0.2851942 -4.1429896 1
+#> 6 1 -13.70 -1.85 0.5180413 -1.5906127 -13.1819587 -3.4406127 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3000 -36450 10950
+#> initial value 998.131940
+#> iter 2 value 814.260260
+#> iter 3 value 790.871726
+#> iter 4 value 789.229440
+#> iter 5 value 755.080336
+#> iter 6 value 749.428087
+#> iter 7 value 748.844085
+#> iter 8 value 748.822562
+#> iter 9 value 748.822495
+#> iter 10 value 748.822419
+#> iter 10 value 748.822419
+#> iter 11 value 748.822402
+#> iter 11 value 748.822395
+#> iter 11 value 748.822395
+#> final value 748.822395
+#> converged
+#> This is Run number 305
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.39303252 -1.3779469 -3.9069675 -3.077947 2
+#> 2 1 -1.35 -13.20 -0.33079438 1.2270354 -1.6807944 -11.972965 1
+#> 3 1 -2.05 -14.20 1.31629933 1.3057001 -0.7337007 -12.894300 1
+#> 4 1 -1.55 -3.10 0.09943472 0.2804925 -1.4505653 -2.819508 1
+#> 5 1 -1.90 -3.60 0.49256357 2.4046127 -1.4074364 -1.195387 2
+#> 6 1 -13.70 -1.85 1.29263108 -0.4447486 -12.4073689 -2.294749 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4120 -37475 9500
+#> initial value 998.131940
+#> iter 2 value 812.355346
+#> iter 3 value 795.446100
+#> iter 4 value 794.353286
+#> iter 5 value 761.944155
+#> iter 6 value 755.196932
+#> iter 7 value 754.392856
+#> iter 8 value 754.367125
+#> iter 9 value 754.366938
+#> iter 10 value 754.366906
+#> iter 11 value 754.366864
+#> iter 12 value 754.366841
+#> iter 12 value 754.366841
+#> iter 12 value 754.366841
+#> final value 754.366841
+#> converged
+#> This is Run number 306
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 3.83900662 0.3636394 -0.4609934 -1.3363606 1
+#> 2 1 -1.35 -13.20 2.81074471 1.2858730 1.4607447 -11.9141270 1
+#> 3 1 -2.05 -14.20 -0.63449643 0.9254302 -2.6844964 -13.2745698 1
+#> 4 1 -1.55 -3.10 3.18710020 2.0063756 1.6371002 -1.0936244 1
+#> 5 1 -1.90 -3.60 0.02681755 -1.0974921 -1.8731824 -4.6974921 1
+#> 6 1 -13.70 -1.85 -0.27267040 1.7048891 -13.9726704 -0.1451109 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3360 -36450 9525
+#> initial value 998.131940
+#> iter 2 value 825.733054
+#> iter 3 value 807.485912
+#> iter 4 value 805.286060
+#> iter 5 value 769.656721
+#> iter 6 value 763.182625
+#> iter 7 value 762.342632
+#> iter 8 value 762.319351
+#> iter 9 value 762.319230
+#> iter 9 value 762.319221
+#> iter 9 value 762.319217
+#> final value 762.319217
+#> converged
+#> This is Run number 307
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.90505724 -0.6530400 -5.205057 -2.353040 2
+#> 2 1 -1.35 -13.20 -0.36728987 -1.0298968 -1.717290 -14.229897 1
+#> 3 1 -2.05 -14.20 0.08357732 0.1770891 -1.966423 -14.022911 1
+#> 4 1 -1.55 -3.10 -0.79032015 1.9371704 -2.340320 -1.162830 2
+#> 5 1 -1.90 -3.60 -0.95137231 0.3048044 -2.851372 -3.295196 1
+#> 6 1 -13.70 -1.85 1.26045255 -0.3470694 -12.439547 -2.197069 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3820 -37175 8900
+#> initial value 998.131940
+#> iter 2 value 820.533959
+#> iter 3 value 804.670530
+#> iter 4 value 802.405588
+#> iter 5 value 768.010174
+#> iter 6 value 761.057862
+#> iter 7 value 760.065554
+#> iter 8 value 760.037075
+#> iter 9 value 760.036912
+#> iter 9 value 760.036903
+#> iter 9 value 760.036899
+#> final value 760.036899
+#> converged
+#> This is Run number 308
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3875027 0.1761467 -4.687503 -1.52385330 2
+#> 2 1 -1.35 -13.20 3.0785665 0.2521829 1.728566 -12.94781714 1
+#> 3 1 -2.05 -14.20 -0.6339465 0.1879502 -2.683947 -14.01204979 1
+#> 4 1 -1.55 -3.10 -0.1822213 3.0565282 -1.732221 -0.04347175 2
+#> 5 1 -1.90 -3.60 -0.9210536 0.8992700 -2.821054 -2.70073001 2
+#> 6 1 -13.70 -1.85 2.4980424 -0.5638637 -11.201958 -2.41386369 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3400 -37775 9450
+#> initial value 998.131940
+#> iter 2 value 807.703941
+#> iter 3 value 789.118534
+#> iter 4 value 785.720033
+#> iter 5 value 751.568711
+#> iter 6 value 744.808726
+#> iter 7 value 743.906300
+#> iter 8 value 743.874902
+#> iter 9 value 743.874863
+#> iter 9 value 743.874863
+#> iter 9 value 743.874863
+#> final value 743.874863
+#> converged
+#> This is Run number 309
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.1084799 -0.7538011 -4.191520 -2.4538011 2
+#> 2 1 -1.35 -13.20 -0.1711418 -0.2197460 -1.521142 -13.4197460 1
+#> 3 1 -2.05 -14.20 3.4566685 0.9180775 1.406669 -13.2819225 1
+#> 4 1 -1.55 -3.10 0.2923903 -0.1829827 -1.257610 -3.2829827 1
+#> 5 1 -1.90 -3.60 -0.4696472 0.3591045 -2.369647 -3.2408955 1
+#> 6 1 -13.70 -1.85 -0.8748174 1.3216623 -14.574817 -0.5283377 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -36825 9225
+#> initial value 998.131940
+#> iter 2 value 823.370377
+#> iter 3 value 807.285847
+#> iter 4 value 806.151202
+#> iter 5 value 772.267955
+#> iter 6 value 765.537711
+#> iter 7 value 764.664969
+#> iter 8 value 764.640477
+#> iter 9 value 764.640279
+#> iter 9 value 764.640277
+#> iter 9 value 764.640277
+#> final value 764.640277
+#> converged
+#> This is Run number 310
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.13848341 0.9484683 -4.1615166 -0.7515317 2
+#> 2 1 -1.35 -13.20 0.48375194 0.1931457 -0.8662481 -13.0068543 1
+#> 3 1 -2.05 -14.20 -0.69155926 0.4951028 -2.7415593 -13.7048972 1
+#> 4 1 -1.55 -3.10 0.36902592 0.6426294 -1.1809741 -2.4573706 1
+#> 5 1 -1.90 -3.60 0.52379194 0.4859338 -1.3762081 -3.1140662 1
+#> 6 1 -13.70 -1.85 0.07783077 -0.5375838 -13.6221692 -2.3875838 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3780 -38200 10075
+#> initial value 998.131940
+#> iter 2 value 797.263700
+#> iter 3 value 777.706532
+#> iter 4 value 775.848351
+#> iter 5 value 744.464154
+#> iter 6 value 737.996967
+#> iter 7 value 737.258786
+#> iter 8 value 737.227706
+#> iter 9 value 737.227614
+#> iter 10 value 737.227551
+#> iter 10 value 737.227549
+#> iter 10 value 737.227541
+#> final value 737.227541
+#> converged
+#> This is Run number 311
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.45090356 -0.7965475 -2.8490964 -2.4965475 2
+#> 2 1 -1.35 -13.20 -0.01913328 -1.4609906 -1.3691333 -14.6609906 1
+#> 3 1 -2.05 -14.20 0.29798698 -0.7732295 -1.7520130 -14.9732295 1
+#> 4 1 -1.55 -3.10 -0.70130370 2.7534386 -2.2513037 -0.3465614 2
+#> 5 1 -1.90 -3.60 2.16067466 0.2656153 0.2606747 -3.3343847 1
+#> 6 1 -13.70 -1.85 1.38324614 -0.9023655 -12.3167539 -2.7523655 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3500 -37225 9700
+#> initial value 998.131940
+#> iter 2 value 813.923844
+#> iter 3 value 795.187383
+#> iter 4 value 792.894788
+#> iter 5 value 758.909469
+#> iter 6 value 752.359659
+#> iter 7 value 751.543129
+#> iter 8 value 751.516452
+#> iter 9 value 751.516341
+#> iter 9 value 751.516333
+#> iter 9 value 751.516333
+#> final value 751.516333
+#> converged
+#> This is Run number 312
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2293938 0.4373371 -4.5293938 -1.2626629 2
+#> 2 1 -1.35 -13.20 0.7326824 0.1367228 -0.6173176 -13.0632772 1
+#> 3 1 -2.05 -14.20 1.0035999 -0.3086338 -1.0464001 -14.5086338 1
+#> 4 1 -1.55 -3.10 0.1227597 2.6159977 -1.4272403 -0.4840023 2
+#> 5 1 -1.90 -3.60 -1.1072048 2.1380574 -3.0072048 -1.4619426 2
+#> 6 1 -13.70 -1.85 0.1648017 1.6311102 -13.5351983 -0.2188898 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3520 -37450 9475
+#> initial value 998.131940
+#> iter 2 value 812.367091
+#> iter 3 value 794.184719
+#> iter 4 value 791.486592
+#> iter 5 value 757.457276
+#> iter 6 value 750.747636
+#> iter 7 value 749.872737
+#> iter 8 value 749.844145
+#> iter 9 value 749.844051
+#> iter 9 value 749.844050
+#> iter 9 value 749.844050
+#> final value 749.844050
+#> converged
+#> This is Run number 313
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.9474663 -0.4998076 -2.3525337 -2.199808 2
+#> 2 1 -1.35 -13.20 -0.3501361 0.7415333 -1.7001361 -12.458467 1
+#> 3 1 -2.05 -14.20 1.1231429 0.1350479 -0.9268571 -14.064952 1
+#> 4 1 -1.55 -3.10 0.4632934 -0.8380602 -1.0867066 -3.938060 1
+#> 5 1 -1.90 -3.60 -0.2245976 0.5671308 -2.1245976 -3.032869 1
+#> 6 1 -13.70 -1.85 -0.1188840 0.1180610 -13.8188840 -1.731939 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3540 -37375 10150
+#> initial value 998.131940
+#> iter 2 value 808.475122
+#> iter 3 value 788.482562
+#> iter 4 value 786.697212
+#> iter 5 value 753.710349
+#> iter 6 value 747.384893
+#> iter 7 value 746.666515
+#> iter 8 value 746.640319
+#> iter 9 value 746.640216
+#> iter 10 value 746.640171
+#> iter 11 value 746.640160
+#> iter 12 value 746.640146
+#> iter 12 value 746.640146
+#> iter 12 value 746.640146
+#> final value 746.640146
+#> converged
+#> This is Run number 314
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.77634124 0.671356693 -2.5236588 -1.028643 2
+#> 2 1 -1.35 -13.20 0.05664087 -0.668926994 -1.2933591 -13.868927 1
+#> 3 1 -2.05 -14.20 -0.74403160 -0.482725285 -2.7940316 -14.682725 1
+#> 4 1 -1.55 -3.10 -0.26249447 -0.232739072 -1.8124945 -3.332739 1
+#> 5 1 -1.90 -3.60 0.92314710 0.002442867 -0.9768529 -3.597557 1
+#> 6 1 -13.70 -1.85 -0.13389349 3.201942174 -13.8338935 1.351942 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3780 -37400 9350
+#> initial value 998.131940
+#> iter 2 value 814.233933
+#> iter 3 value 797.028313
+#> iter 4 value 794.963653
+#> iter 5 value 761.469074
+#> iter 6 value 754.689085
+#> iter 7 value 753.810001
+#> iter 8 value 753.782279
+#> iter 9 value 753.782128
+#> iter 9 value 753.782126
+#> iter 9 value 753.782126
+#> final value 753.782126
+#> converged
+#> This is Run number 315
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.2439110 -0.6366086 -3.0560890 -2.336609 2
+#> 2 1 -1.35 -13.20 0.6045262 0.9971439 -0.7454738 -12.202856 1
+#> 3 1 -2.05 -14.20 0.1299239 -1.0117828 -1.9200761 -15.211783 1
+#> 4 1 -1.55 -3.10 -0.7002077 -0.8455567 -2.2502077 -3.945557 1
+#> 5 1 -1.90 -3.60 0.6163777 -0.4901336 -1.2836223 -4.090134 1
+#> 6 1 -13.70 -1.85 1.0668010 -0.5230006 -12.6331990 -2.373001 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3060 -37300 9975
+#> initial value 998.131940
+#> iter 2 value 810.237768
+#> iter 3 value 789.563630
+#> iter 4 value 786.238470
+#> iter 5 value 751.236710
+#> iter 6 value 744.868989
+#> iter 7 value 744.059283
+#> iter 8 value 744.029949
+#> iter 9 value 744.029912
+#> iter 9 value 744.029910
+#> iter 9 value 744.029909
+#> final value 744.029909
+#> converged
+#> This is Run number 316
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.1283850 3.6687405 -4.428385 1.9687405 2
+#> 2 1 -1.35 -13.20 -0.6048240 -0.2736267 -1.954824 -13.4736267 1
+#> 3 1 -2.05 -14.20 0.8957949 0.5269774 -1.154205 -13.6730226 1
+#> 4 1 -1.55 -3.10 3.0676004 -1.2247317 1.517600 -4.3247317 1
+#> 5 1 -1.90 -3.60 0.5441498 -0.8196316 -1.355850 -4.4196316 1
+#> 6 1 -13.70 -1.85 -1.4418232 1.3937564 -15.141823 -0.4562436 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4160 -37225 9775
+#> initial value 998.131940
+#> iter 2 value 813.922305
+#> iter 3 value 796.392496
+#> iter 4 value 795.759400
+#> iter 5 value 763.370378
+#> iter 6 value 756.790558
+#> iter 7 value 756.069790
+#> iter 8 value 756.047368
+#> iter 9 value 756.047207
+#> iter 10 value 756.047140
+#> iter 11 value 756.047072
+#> iter 12 value 756.047059
+#> iter 12 value 756.047059
+#> iter 12 value 756.047059
+#> final value 756.047059
+#> converged
+#> This is Run number 317
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.42969864 0.1170132 -1.8703014 -1.582987 2
+#> 2 1 -1.35 -13.20 -0.08623965 6.5044182 -1.4362397 -6.695582 1
+#> 3 1 -2.05 -14.20 1.51527459 -0.1217496 -0.5347254 -14.321750 1
+#> 4 1 -1.55 -3.10 -0.07354377 -1.2149665 -1.6235438 -4.314967 1
+#> 5 1 -1.90 -3.60 -0.81973378 -1.6516425 -2.7197338 -5.251643 1
+#> 6 1 -13.70 -1.85 -0.60472424 4.1326372 -14.3047242 2.282637 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3760 -38375 9650
+#> initial value 998.131940
+#> iter 2 value 797.790034
+#> iter 3 value 779.303647
+#> iter 4 value 776.672990
+#> iter 5 value 744.916141
+#> iter 6 value 738.195826
+#> iter 7 value 737.360545
+#> iter 8 value 737.326876
+#> iter 9 value 737.326805
+#> iter 10 value 737.326788
+#> iter 10 value 737.326788
+#> iter 10 value 737.326787
+#> final value 737.326787
+#> converged
+#> This is Run number 318
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.2231486 0.8864230 -4.0768514 -0.813577 2
+#> 2 1 -1.35 -13.20 -0.9780446 0.2551522 -2.3280446 -12.944848 1
+#> 3 1 -2.05 -14.20 2.1360783 0.9259398 0.0860783 -13.274060 1
+#> 4 1 -1.55 -3.10 0.5056790 0.1691415 -1.0443210 -2.930859 1
+#> 5 1 -1.90 -3.60 0.5514842 -1.2388721 -1.3485158 -4.838872 1
+#> 6 1 -13.70 -1.85 -0.9385918 -0.3816640 -14.6385918 -2.231664 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2680 -35325 10275
+#> initial value 998.131940
+#> iter 2 value 833.889623
+#> iter 3 value 812.312957
+#> iter 4 value 810.081616
+#> iter 5 value 772.670767
+#> iter 6 value 766.907363
+#> iter 7 value 766.238765
+#> iter 8 value 766.221205
+#> iter 9 value 766.221134
+#> iter 9 value 766.221129
+#> iter 9 value 766.221129
+#> final value 766.221129
+#> converged
+#> This is Run number 319
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.3304850 -0.97053527 -3.9695150 -2.670535 2
+#> 2 1 -1.35 -13.20 1.5759239 0.77845952 0.2259239 -12.421540 1
+#> 3 1 -2.05 -14.20 1.2087106 0.02172083 -0.8412894 -14.178279 1
+#> 4 1 -1.55 -3.10 -0.4169531 0.47007372 -1.9669531 -2.629926 1
+#> 5 1 -1.90 -3.60 -0.1357496 -0.49815858 -2.0357496 -4.098159 1
+#> 6 1 -13.70 -1.85 0.5081276 -0.33559339 -13.1918724 -2.185593 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3000 -35850 10450
+#> initial value 998.131940
+#> iter 2 value 826.284151
+#> iter 3 value 804.745461
+#> iter 4 value 803.034423
+#> iter 5 value 767.462020
+#> iter 6 value 761.637937
+#> iter 7 value 761.001585
+#> iter 8 value 760.982979
+#> iter 9 value 760.982893
+#> iter 10 value 760.982863
+#> iter 11 value 760.982840
+#> iter 11 value 760.982839
+#> iter 11 value 760.982839
+#> final value 760.982839
+#> converged
+#> This is Run number 320
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.30117798 -0.08379074 -3.9988220 -1.7837907 2
+#> 2 1 -1.35 -13.20 0.49215071 5.72017345 -0.8578493 -7.4798265 1
+#> 3 1 -2.05 -14.20 0.10665889 -1.25667513 -1.9433411 -15.4566751 1
+#> 4 1 -1.55 -3.10 0.08542169 -0.76000108 -1.4645783 -3.8600011 1
+#> 5 1 -1.90 -3.60 -0.21779539 -0.02536509 -2.1177954 -3.6253651 1
+#> 6 1 -13.70 -1.85 -0.24157288 2.30276549 -13.9415729 0.4527655 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3300 -37250 9925
+#> initial value 998.131940
+#> iter 2 value 811.664289
+#> iter 3 value 791.790929
+#> iter 4 value 789.163974
+#> iter 5 value 754.942173
+#> iter 6 value 748.530622
+#> iter 7 value 747.740987
+#> iter 8 value 747.713553
+#> iter 9 value 747.713476
+#> iter 9 value 747.713466
+#> iter 9 value 747.713466
+#> final value 747.713466
+#> converged
+#> This is Run number 321
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.8286142 0.1640196 -3.4713858 -1.535980 2
+#> 2 1 -1.35 -13.20 0.8792822 0.7380449 -0.4707178 -12.461955 1
+#> 3 1 -2.05 -14.20 -1.2479138 5.0137164 -3.2979138 -9.186284 1
+#> 4 1 -1.55 -3.10 -1.7491712 -0.6054083 -3.2991712 -3.705408 1
+#> 5 1 -1.90 -3.60 2.2006529 -0.8401632 0.3006529 -4.440163 1
+#> 6 1 -13.70 -1.85 0.9045792 0.5262299 -12.7954208 -1.323770 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3580 -36925 9975
+#> initial value 998.131940
+#> iter 2 value 816.176882
+#> iter 3 value 796.974631
+#> iter 4 value 795.438655
+#> iter 5 value 761.738375
+#> iter 6 value 755.379524
+#> iter 7 value 754.648328
+#> iter 8 value 754.624931
+#> iter 9 value 754.624803
+#> iter 10 value 754.624768
+#> iter 11 value 754.624737
+#> iter 11 value 754.624734
+#> iter 11 value 754.624734
+#> final value 754.624734
+#> converged
+#> This is Run number 322
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3564402 4.2671612 -4.6564402 2.5671612 2
+#> 2 1 -1.35 -13.20 -0.7308375 -0.3108681 -2.0808375 -13.5108681 1
+#> 3 1 -2.05 -14.20 -0.9664308 -1.2812507 -3.0164308 -15.4812507 1
+#> 4 1 -1.55 -3.10 -1.3911590 -0.4686264 -2.9411590 -3.5686264 1
+#> 5 1 -1.90 -3.60 1.0306228 1.2569639 -0.8693772 -2.3430361 1
+#> 6 1 -13.70 -1.85 0.3844099 2.2696256 -13.3155901 0.4196256 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3460 -35325 9625
+#> initial value 998.131940
+#> iter 2 value 839.845552
+#> iter 3 value 822.019764
+#> iter 4 value 820.915721
+#> iter 5 value 784.561698
+#> iter 6 value 778.450561
+#> iter 7 value 777.706015
+#> iter 8 value 777.688927
+#> iter 9 value 777.688803
+#> iter 9 value 777.688797
+#> iter 9 value 777.688797
+#> final value 777.688797
+#> converged
+#> This is Run number 323
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.7769377 1.63131645 -5.076938 -0.06868355 2
+#> 2 1 -1.35 -13.20 -0.8659529 -0.64239655 -2.215953 -13.84239655 1
+#> 3 1 -2.05 -14.20 -0.4009665 0.03800023 -2.450967 -14.16199977 1
+#> 4 1 -1.55 -3.10 0.3016572 4.12639920 -1.248343 1.02639920 2
+#> 5 1 -1.90 -3.60 -0.3376456 1.72016667 -2.237646 -1.87983333 2
+#> 6 1 -13.70 -1.85 -0.8187609 0.70457761 -14.518761 -1.14542239 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3620 -35150 9050
+#> initial value 998.131940
+#> iter 2 value 846.227277
+#> iter 3 value 830.380479
+#> iter 4 value 829.229562
+#> iter 5 value 792.055713
+#> iter 6 value 785.774705
+#> iter 7 value 784.898798
+#> iter 8 value 784.879514
+#> iter 9 value 784.879379
+#> iter 10 value 784.879357
+#> iter 11 value 784.879330
+#> iter 12 value 784.879312
+#> iter 12 value 784.879312
+#> iter 12 value 784.879312
+#> final value 784.879312
+#> converged
+#> This is Run number 324
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.16370333 0.38895107 -4.4637033 -1.3110489 2
+#> 2 1 -1.35 -13.20 0.65536849 1.20097812 -0.6946315 -11.9990219 1
+#> 3 1 -2.05 -14.20 -1.06189187 0.03050243 -3.1118919 -14.1694976 1
+#> 4 1 -1.55 -3.10 0.02293193 -1.40750555 -1.5270681 -4.5075056 1
+#> 5 1 -1.90 -3.60 -0.55104656 -0.35798233 -2.4510466 -3.9579823 1
+#> 6 1 -13.70 -1.85 -1.15106886 1.69157638 -14.8510689 -0.1584236 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3720 -36675 9225
+#> initial value 998.131940
+#> iter 2 value 825.174483
+#> iter 3 value 808.469822
+#> iter 4 value 806.687925
+#> iter 5 value 771.867404
+#> iter 6 value 765.186822
+#> iter 7 value 764.289632
+#> iter 8 value 764.264808
+#> iter 9 value 764.264641
+#> iter 10 value 764.264626
+#> iter 11 value 764.264614
+#> iter 12 value 764.264602
+#> iter 12 value 764.264602
+#> iter 12 value 764.264602
+#> final value 764.264602
+#> converged
+#> This is Run number 325
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.5088386 -0.40962283 -3.79116141 -2.10962283 2
+#> 2 1 -1.35 -13.20 2.5917153 0.09545749 1.24171526 -13.10454251 1
+#> 3 1 -2.05 -14.20 1.2991660 0.38315968 -0.75083398 -13.81684032 1
+#> 4 1 -1.55 -3.10 0.6694712 3.68689159 -0.88052879 0.58689159 2
+#> 5 1 -1.90 -3.60 1.8803372 3.64730235 -0.01966276 0.04730235 2
+#> 6 1 -13.70 -1.85 0.3886913 -0.83285222 -13.31130870 -2.68285222 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -36700 8000
+#> initial value 998.131940
+#> iter 2 value 832.967537
+#> iter 3 value 819.894851
+#> iter 4 value 817.695454
+#> iter 5 value 781.772460
+#> iter 6 value 774.589761
+#> iter 7 value 773.339852
+#> iter 8 value 773.307302
+#> iter 9 value 773.307120
+#> iter 9 value 773.307113
+#> iter 9 value 773.307110
+#> final value 773.307110
+#> converged
+#> This is Run number 326
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.0407468 0.4144066 -3.25925316 -1.2855934 2
+#> 2 1 -1.35 -13.20 -0.1713071 1.6369433 -1.52130706 -11.5630567 1
+#> 3 1 -2.05 -14.20 1.4444441 0.4642603 -0.60555591 -13.7357397 1
+#> 4 1 -1.55 -3.10 -0.3386587 0.8708887 -1.88865875 -2.2291113 1
+#> 5 1 -1.90 -3.60 1.8796938 1.8911763 -0.02030619 -1.7088237 1
+#> 6 1 -13.70 -1.85 0.2422851 0.9553887 -13.45771494 -0.8946113 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3300 -36600 9875
+#> initial value 998.131940
+#> iter 2 value 821.073137
+#> iter 3 value 801.640577
+#> iter 4 value 799.524523
+#> iter 5 value 764.508345
+#> iter 6 value 758.184272
+#> iter 7 value 757.414534
+#> iter 8 value 757.391317
+#> iter 9 value 757.391207
+#> iter 9 value 757.391198
+#> iter 9 value 757.391198
+#> final value 757.391198
+#> converged
+#> This is Run number 327
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.0176417 0.1589333 -2.282358 -1.5410667 2
+#> 2 1 -1.35 -13.20 2.8780160 3.0665657 1.528016 -10.1334343 1
+#> 3 1 -2.05 -14.20 0.4812888 -0.4684114 -1.568711 -14.6684114 1
+#> 4 1 -1.55 -3.10 -0.3461285 1.0889769 -1.896128 -2.0110231 1
+#> 5 1 -1.90 -3.60 -0.7809723 1.8660175 -2.680972 -1.7339825 2
+#> 6 1 -13.70 -1.85 -0.6316593 2.2987893 -14.331659 0.4487893 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3520 -35875 9925
+#> initial value 998.131940
+#> iter 2 value 830.637343
+#> iter 3 value 811.859254
+#> iter 4 value 810.810603
+#> iter 5 value 775.674253
+#> iter 6 value 769.530716
+#> iter 7 value 768.833340
+#> iter 8 value 768.815362
+#> iter 9 value 768.815236
+#> iter 10 value 768.815211
+#> iter 11 value 768.815171
+#> iter 12 value 768.815148
+#> iter 12 value 768.815148
+#> iter 12 value 768.815148
+#> final value 768.815148
+#> converged
+#> This is Run number 328
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.1165390 0.3726533 -4.183461 -1.3273467 2
+#> 2 1 -1.35 -13.20 -0.1009054 -1.1961589 -1.450905 -14.3961589 1
+#> 3 1 -2.05 -14.20 0.8404710 2.1472356 -1.209529 -12.0527644 1
+#> 4 1 -1.55 -3.10 0.6640320 -0.9451834 -0.885968 -4.0451834 1
+#> 5 1 -1.90 -3.60 -1.0161976 -0.2993636 -2.916198 -3.8993636 1
+#> 6 1 -13.70 -1.85 0.8683246 2.2580527 -12.831675 0.4080527 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3700 -35875 9000
+#> initial value 998.131940
+#> iter 2 value 837.381591
+#> iter 3 value 821.548176
+#> iter 4 value 820.071716
+#> iter 5 value 783.829486
+#> iter 6 value 777.284575
+#> iter 7 value 776.355402
+#> iter 8 value 776.332748
+#> iter 9 value 776.332586
+#> iter 10 value 776.332567
+#> iter 11 value 776.332550
+#> iter 12 value 776.332536
+#> iter 12 value 776.332536
+#> iter 12 value 776.332536
+#> final value 776.332536
+#> converged
+#> This is Run number 329
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.5157436 0.8894838 -4.8157436 -0.8105162 2
+#> 2 1 -1.35 -13.20 -1.1238849 -0.3732426 -2.4738849 -13.5732426 1
+#> 3 1 -2.05 -14.20 1.5801066 2.6101922 -0.4698934 -11.5898078 1
+#> 4 1 -1.55 -3.10 -1.1236651 1.2438757 -2.6736651 -1.8561243 2
+#> 5 1 -1.90 -3.60 0.7747393 -0.3062045 -1.1252607 -3.9062045 1
+#> 6 1 -13.70 -1.85 -1.1418143 0.6053495 -14.8418143 -1.2446505 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3480 -35525 8950
+#> initial value 998.131940
+#> iter 2 value 842.012102
+#> iter 3 value 825.967442
+#> iter 4 value 824.221827
+#> iter 5 value 786.888430
+#> iter 6 value 780.430722
+#> iter 7 value 779.493980
+#> iter 8 value 779.472311
+#> iter 9 value 779.472175
+#> iter 10 value 779.472162
+#> iter 10 value 779.472153
+#> iter 10 value 779.472151
+#> final value 779.472151
+#> converged
+#> This is Run number 330
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.0816474 0.54609266 -3.21835264 -1.1539073 2
+#> 2 1 -1.35 -13.20 0.6413627 -0.52886176 -0.70863729 -13.7288618 1
+#> 3 1 -2.05 -14.20 0.4630442 -0.58385343 -1.58695585 -14.7838534 1
+#> 4 1 -1.55 -3.10 1.5998861 -0.16946370 0.04988611 -3.2694637 1
+#> 5 1 -1.90 -3.60 1.0057081 -0.03890208 -0.89429190 -3.6389021 1
+#> 6 1 -13.70 -1.85 -0.7413006 1.37826232 -14.44130064 -0.4717377 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3360 -37000 8675
+#> initial value 998.131940
+#> iter 2 value 823.942076
+#> iter 3 value 807.549175
+#> iter 4 value 804.152419
+#> iter 5 value 767.179013
+#> iter 6 value 760.110380
+#> iter 7 value 759.053781
+#> iter 8 value 759.026886
+#> iter 9 value 759.026848
+#> iter 9 value 759.026843
+#> iter 9 value 759.026843
+#> final value 759.026843
+#> converged
+#> This is Run number 331
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.4681133 4.6263904 -3.83188668 2.92639039 2
+#> 2 1 -1.35 -13.20 1.2607819 0.8568091 -0.08921806 -12.34319092 1
+#> 3 1 -2.05 -14.20 -1.1447974 1.9557453 -3.19479744 -12.24425467 1
+#> 4 1 -1.55 -3.10 1.1819794 1.1460038 -0.36802060 -1.95399623 1
+#> 5 1 -1.90 -3.60 -0.1020060 -1.1396536 -2.00200596 -4.73965356 1
+#> 6 1 -13.70 -1.85 -0.7982400 1.8119591 -14.49823999 -0.03804092 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3820 -37075 9375
+#> initial value 998.131940
+#> iter 2 value 818.683630
+#> iter 3 value 801.637067
+#> iter 4 value 799.961923
+#> iter 5 value 766.159487
+#> iter 6 value 759.452345
+#> iter 7 value 758.592455
+#> iter 8 value 758.566738
+#> iter 9 value 758.566566
+#> iter 9 value 758.566562
+#> iter 9 value 758.566562
+#> final value 758.566562
+#> converged
+#> This is Run number 332
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.8023011 0.49673798 -3.4976989 -1.203262 2
+#> 2 1 -1.35 -13.20 0.8370757 -0.73159177 -0.5129243 -13.931592 1
+#> 3 1 -2.05 -14.20 -0.5247501 0.02395618 -2.5747501 -14.176044 1
+#> 4 1 -1.55 -3.10 0.8098114 -0.93565909 -0.7401886 -4.035659 1
+#> 5 1 -1.90 -3.60 -0.3644395 0.26034665 -2.2644395 -3.339653 1
+#> 6 1 -13.70 -1.85 -0.8414954 -1.39711507 -14.5414954 -3.247115 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3160 -37650 10175
+#> initial value 998.131940
+#> iter 2 value 803.850102
+#> iter 3 value 782.704000
+#> iter 4 value 779.564072
+#> iter 5 value 745.713849
+#> iter 6 value 739.424457
+#> iter 7 value 738.648676
+#> iter 8 value 738.617159
+#> iter 9 value 738.617119
+#> iter 9 value 738.617109
+#> iter 9 value 738.617108
+#> final value 738.617108
+#> converged
+#> This is Run number 333
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.06756339 0.32555806 -4.2324366 -1.374442 2
+#> 2 1 -1.35 -13.20 0.37557640 0.44599720 -0.9744236 -12.754003 1
+#> 3 1 -2.05 -14.20 0.38549491 0.00105752 -1.6645051 -14.198942 1
+#> 4 1 -1.55 -3.10 -0.01001389 -0.98194395 -1.5600139 -4.081944 1
+#> 5 1 -1.90 -3.60 -0.52282557 0.88047993 -2.4228256 -2.719520 1
+#> 6 1 -13.70 -1.85 -1.06334201 -0.84780385 -14.7633420 -2.697804 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3320 -36625 9450
+#> initial value 998.131940
+#> iter 2 value 823.835945
+#> iter 3 value 805.609807
+#> iter 4 value 803.085510
+#> iter 5 value 767.359696
+#> iter 6 value 760.804619
+#> iter 7 value 759.935449
+#> iter 8 value 759.910953
+#> iter 9 value 759.910847
+#> iter 9 value 759.910842
+#> iter 9 value 759.910839
+#> final value 759.910839
+#> converged
+#> This is Run number 334
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.1841831 -0.2755675 -4.1158169 -1.9755675 2
+#> 2 1 -1.35 -13.20 0.7953825 -0.8368368 -0.5546175 -14.0368368 1
+#> 3 1 -2.05 -14.20 -0.3727516 1.0999819 -2.4227516 -13.1000181 1
+#> 4 1 -1.55 -3.10 2.5622362 -0.6848424 1.0122362 -3.7848424 1
+#> 5 1 -1.90 -3.60 0.7306380 2.8572286 -1.1693620 -0.7427714 2
+#> 6 1 -13.70 -1.85 -0.2117059 -0.5373624 -13.9117059 -2.3873624 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2380 -34750 11275
+#> initial value 998.131940
+#> iter 2 value 832.419055
+#> iter 3 value 807.126136
+#> iter 4 value 805.503507
+#> iter 5 value 769.062932
+#> iter 6 value 764.026463
+#> iter 7 value 763.540924
+#> iter 8 value 763.526859
+#> iter 9 value 763.526813
+#> iter 10 value 763.526769
+#> iter 10 value 763.526767
+#> iter 10 value 763.526767
+#> final value 763.526767
+#> converged
+#> This is Run number 335
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.97534959 0.14010885 -5.2753496 -1.5598911 2
+#> 2 1 -1.35 -13.20 -0.49566011 -0.08910986 -1.8456601 -13.2891099 1
+#> 3 1 -2.05 -14.20 0.83371464 -0.01736963 -1.2162854 -14.2173696 1
+#> 4 1 -1.55 -3.10 0.01526452 -0.63592440 -1.5347355 -3.7359244 1
+#> 5 1 -1.90 -3.60 1.58620269 1.99372789 -0.3137973 -1.6062721 1
+#> 6 1 -13.70 -1.85 -0.77244645 1.61501460 -14.4724464 -0.2349854 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3960 -37700 10175
+#> initial value 998.131940
+#> iter 2 value 803.988121
+#> iter 3 value 784.716487
+#> iter 4 value 783.781992
+#> iter 5 value 752.207591
+#> iter 6 value 745.803514
+#> iter 7 value 745.129794
+#> iter 8 value 745.104552
+#> iter 9 value 745.104433
+#> iter 10 value 745.104318
+#> iter 10 value 745.104313
+#> iter 10 value 745.104313
+#> final value 745.104313
+#> converged
+#> This is Run number 336
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3930272 0.6095210 -4.69302722 -1.090479 2
+#> 2 1 -1.35 -13.20 1.4179738 -0.6348329 0.06797383 -13.834833 1
+#> 3 1 -2.05 -14.20 3.7528698 0.4238953 1.70286982 -13.776105 1
+#> 4 1 -1.55 -3.10 0.3281842 -0.1994531 -1.22181580 -3.299453 1
+#> 5 1 -1.90 -3.60 -0.3413476 -0.4300392 -2.24134764 -4.030039 1
+#> 6 1 -13.70 -1.85 0.1912207 -0.7219500 -13.50877926 -2.571950 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3220 -36975 10200
+#> initial value 998.131940
+#> iter 2 value 813.340275
+#> iter 3 value 792.599317
+#> iter 4 value 790.307931
+#> iter 5 value 756.012035
+#> iter 6 value 749.807610
+#> iter 7 value 749.080196
+#> iter 8 value 749.054838
+#> iter 9 value 749.054756
+#> iter 10 value 749.054735
+#> iter 10 value 749.054725
+#> iter 10 value 749.054725
+#> final value 749.054725
+#> converged
+#> This is Run number 337
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.75979085 0.0248115 -3.5402092 -1.67518850 2
+#> 2 1 -1.35 -13.20 -0.03279583 0.5774298 -1.3827958 -12.62257021 1
+#> 3 1 -2.05 -14.20 -1.21479674 -0.9218003 -3.2647967 -15.12180028 1
+#> 4 1 -1.55 -3.10 0.93026621 3.0248510 -0.6197338 -0.07514898 2
+#> 5 1 -1.90 -3.60 1.06517898 -0.4680953 -0.8348210 -4.06809529 1
+#> 6 1 -13.70 -1.85 -0.43530465 -1.1854787 -14.1353046 -3.03547875 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3600 -38475 10275
+#> initial value 998.131940
+#> iter 2 value 791.415581
+#> iter 3 value 770.725576
+#> iter 4 value 768.330083
+#> iter 5 value 737.089337
+#> iter 6 value 730.774713
+#> iter 7 value 730.035742
+#> iter 8 value 730.000549
+#> iter 9 value 730.000485
+#> iter 10 value 730.000426
+#> iter 11 value 730.000390
+#> iter 11 value 730.000383
+#> iter 11 value 730.000383
+#> final value 730.000383
+#> converged
+#> This is Run number 338
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.5982693 -0.5813733 -5.898269 -2.2813733 2
+#> 2 1 -1.35 -13.20 -0.5883010 -0.0139465 -1.938301 -13.2139465 1
+#> 3 1 -2.05 -14.20 1.0481251 0.9454787 -1.001875 -13.2545213 1
+#> 4 1 -1.55 -3.10 -1.0565285 0.4957745 -2.606528 -2.6042255 2
+#> 5 1 -1.90 -3.60 -0.6552423 3.0430656 -2.555242 -0.5569344 2
+#> 6 1 -13.70 -1.85 1.2730500 2.6034848 -12.426950 0.7534848 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3180 -38300 10350
+#> initial value 998.131940
+#> iter 2 value 792.937424
+#> iter 3 value 771.012992
+#> iter 4 value 767.475982
+#> iter 5 value 734.701309
+#> iter 6 value 728.505252
+#> iter 7 value 727.727889
+#> iter 8 value 727.689729
+#> iter 9 value 727.689698
+#> iter 9 value 727.689696
+#> iter 9 value 727.689696
+#> final value 727.689696
+#> converged
+#> This is Run number 339
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.1474061 1.33217819 -5.4474061 -0.3678218 2
+#> 2 1 -1.35 -13.20 -0.8666738 -0.05869981 -2.2166738 -13.2586998 1
+#> 3 1 -2.05 -14.20 1.4438479 0.18940207 -0.6061521 -14.0105979 1
+#> 4 1 -1.55 -3.10 0.5126819 -0.34717804 -1.0373181 -3.4471780 1
+#> 5 1 -1.90 -3.60 0.3616194 1.78167560 -1.5383806 -1.8183244 1
+#> 6 1 -13.70 -1.85 0.5151925 0.29076447 -13.1848075 -1.5592355 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4460 -36600 9100
+#> initial value 998.131940
+#> iter 2 value 827.501127
+#> iter 3 value 812.595862
+#> iter 4 value 812.227236
+#> iter 5 value 778.511522
+#> iter 6 value 771.756648
+#> iter 7 value 770.899210
+#> iter 8 value 770.877080
+#> iter 9 value 770.876887
+#> iter 10 value 770.876843
+#> iter 11 value 770.876779
+#> iter 12 value 770.876737
+#> iter 12 value 770.876737
+#> iter 12 value 770.876737
+#> final value 770.876737
+#> converged
+#> This is Run number 340
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.1663542 0.01835339 -3.1336458 -1.681647 2
+#> 2 1 -1.35 -13.20 -0.5938355 -0.18618551 -1.9438355 -13.386186 1
+#> 3 1 -2.05 -14.20 0.9288409 -0.77076825 -1.1211591 -14.970768 1
+#> 4 1 -1.55 -3.10 1.1866974 -0.04183662 -0.3633026 -3.141837 1
+#> 5 1 -1.90 -3.60 -0.9907265 1.70316291 -2.8907265 -1.896837 2
+#> 6 1 -13.70 -1.85 1.1667100 -1.60503826 -12.5332900 -3.455038 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3280 -36950 10125
+#> initial value 998.131940
+#> iter 2 value 814.342493
+#> iter 3 value 793.982598
+#> iter 4 value 791.795441
+#> iter 5 value 757.532408
+#> iter 6 value 751.282625
+#> iter 7 value 750.548023
+#> iter 8 value 750.523071
+#> iter 9 value 750.522980
+#> iter 10 value 750.522959
+#> iter 11 value 750.522945
+#> iter 11 value 750.522944
+#> iter 11 value 750.522944
+#> final value 750.522944
+#> converged
+#> This is Run number 341
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.6953858 0.4685101 -2.6046142 -1.2314899 2
+#> 2 1 -1.35 -13.20 -0.2669274 1.7798456 -1.6169274 -11.4201544 1
+#> 3 1 -2.05 -14.20 0.2163923 0.5987387 -1.8336077 -13.6012613 1
+#> 4 1 -1.55 -3.10 0.6069868 -0.5471840 -0.9430132 -3.6471840 1
+#> 5 1 -1.90 -3.60 -0.5306166 3.3897575 -2.4306166 -0.2102425 2
+#> 6 1 -13.70 -1.85 0.8958436 3.9420738 -12.8041564 2.0920738 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -36725 10650
+#> initial value 998.131940
+#> iter 2 value 813.961625
+#> iter 3 value 793.455758
+#> iter 4 value 793.230446
+#> iter 5 value 760.920927
+#> iter 6 value 754.909665
+#> iter 7 value 754.363846
+#> iter 8 value 754.346533
+#> iter 9 value 754.346458
+#> iter 10 value 754.346245
+#> iter 10 value 754.346234
+#> iter 11 value 754.346220
+#> iter 12 value 754.346208
+#> iter 12 value 754.346208
+#> iter 12 value 754.346205
+#> final value 754.346205
+#> converged
+#> This is Run number 342
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.54750332 0.5308685 -2.7524967 -1.169132 2
+#> 2 1 -1.35 -13.20 0.08234867 0.5448786 -1.2676513 -12.655121 1
+#> 3 1 -2.05 -14.20 4.12163905 0.2927695 2.0716390 -13.907231 1
+#> 4 1 -1.55 -3.10 0.11550514 0.9829865 -1.4344949 -2.117013 1
+#> 5 1 -1.90 -3.60 2.10875985 -0.2952565 0.2087598 -3.895256 1
+#> 6 1 -13.70 -1.85 1.07217575 0.4474581 -12.6278242 -1.402542 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3440 -37875 11000
+#> initial value 998.131940
+#> iter 2 value 794.324891
+#> iter 3 value 771.243424
+#> iter 4 value 769.784096
+#> iter 5 value 738.326117
+#> iter 6 value 732.514204
+#> iter 7 value 731.902941
+#> iter 8 value 731.873241
+#> iter 9 value 731.873156
+#> iter 10 value 731.873006
+#> iter 11 value 731.872942
+#> iter 12 value 731.872904
+#> iter 12 value 731.872904
+#> iter 12 value 731.872904
+#> final value 731.872904
+#> converged
+#> This is Run number 343
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.03668924 0.2212259 -4.3366892 -1.478774 2
+#> 2 1 -1.35 -13.20 3.66792788 1.8787405 2.3179279 -11.321260 1
+#> 3 1 -2.05 -14.20 -0.22043869 0.3809090 -2.2704387 -13.819091 1
+#> 4 1 -1.55 -3.10 1.89994341 1.1584679 0.3499434 -1.941532 1
+#> 5 1 -1.90 -3.60 0.37892684 0.4098957 -1.5210732 -3.190104 1
+#> 6 1 -13.70 -1.85 -1.50598940 -1.4402785 -15.2059894 -3.290279 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3220 -36000 10050
+#> initial value 998.131940
+#> iter 2 value 827.706124
+#> iter 3 value 807.837883
+#> iter 4 value 806.158810
+#> iter 5 value 770.613209
+#> iter 6 value 764.523629
+#> iter 7 value 763.817562
+#> iter 8 value 763.798010
+#> iter 9 value 763.797900
+#> iter 10 value 763.797883
+#> iter 11 value 763.797861
+#> iter 11 value 763.797851
+#> iter 11 value 763.797851
+#> final value 763.797851
+#> converged
+#> This is Run number 344
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.75476857 2.8432086 -3.54523143 1.143209 2
+#> 2 1 -1.35 -13.20 1.67251835 -0.5833716 0.32251835 -13.783372 1
+#> 3 1 -2.05 -14.20 -0.11503230 4.1166644 -2.16503230 -10.083336 1
+#> 4 1 -1.55 -3.10 1.64031383 1.5297432 0.09031383 -1.570257 1
+#> 5 1 -1.90 -3.60 -0.09513149 1.8913203 -1.99513149 -1.708680 2
+#> 6 1 -13.70 -1.85 -0.54192664 -1.0689428 -14.24192664 -2.918943 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4240 -39400 8975
+#> initial value 998.131940
+#> iter 2 value 787.066039
+#> iter 3 value 771.001420
+#> iter 4 value 767.982870
+#> iter 5 value 738.347733
+#> iter 6 value 731.202139
+#> iter 7 value 730.265507
+#> iter 8 value 730.225924
+#> iter 9 value 730.225880
+#> iter 9 value 730.225873
+#> iter 9 value 730.225873
+#> final value 730.225873
+#> converged
+#> This is Run number 345
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.3140426 -0.4480016 -2.98595744 -2.1480016 2
+#> 2 1 -1.35 -13.20 1.4094092 -1.1978881 0.05940921 -14.3978881 1
+#> 3 1 -2.05 -14.20 1.9096464 -0.2908291 -0.14035357 -14.4908291 1
+#> 4 1 -1.55 -3.10 0.3239186 1.2153818 -1.22608136 -1.8846182 1
+#> 5 1 -1.90 -3.60 1.6217679 0.6089728 -0.27823205 -2.9910272 1
+#> 6 1 -13.70 -1.85 2.5385967 1.0210095 -11.16140333 -0.8289905 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3560 -35500 9125
+#> initial value 998.131940
+#> iter 2 value 841.237917
+#> iter 3 value 824.928192
+#> iter 4 value 823.508643
+#> iter 5 value 786.698140
+#> iter 6 value 780.324110
+#> iter 7 value 779.442595
+#> iter 8 value 779.422123
+#> iter 9 value 779.421981
+#> iter 10 value 779.421962
+#> iter 11 value 779.421943
+#> iter 12 value 779.421929
+#> iter 12 value 779.421929
+#> iter 12 value 779.421929
+#> final value 779.421929
+#> converged
+#> This is Run number 346
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.06064871 -0.71990144 -4.360649 -2.419901 2
+#> 2 1 -1.35 -13.20 0.27108156 -1.12219395 -1.078918 -14.322194 1
+#> 3 1 -2.05 -14.20 -0.79181935 0.09822697 -2.841819 -14.101773 1
+#> 4 1 -1.55 -3.10 -0.65473022 0.01357987 -2.204730 -3.086420 1
+#> 5 1 -1.90 -3.60 -1.02309228 0.48534518 -2.923092 -3.114655 1
+#> 6 1 -13.70 -1.85 3.50227093 -0.96577421 -10.197729 -2.815774 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4180 -37075 8675
+#> initial value 998.131940
+#> iter 2 value 823.681439
+#> iter 3 value 809.198182
+#> iter 4 value 807.681771
+#> iter 5 value 773.737317
+#> iter 6 value 766.722231
+#> iter 7 value 765.684796
+#> iter 8 value 765.655368
+#> iter 9 value 765.655139
+#> iter 10 value 765.655118
+#> iter 11 value 765.655103
+#> iter 12 value 765.655086
+#> iter 12 value 765.655086
+#> iter 12 value 765.655086
+#> final value 765.655086
+#> converged
+#> This is Run number 347
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.1255783 -0.7338957 -3.17442174 -2.433896 2
+#> 2 1 -1.35 -13.20 1.2795456 0.3925273 -0.07045444 -12.807473 1
+#> 3 1 -2.05 -14.20 1.4266299 1.1320494 -0.62337013 -13.067951 1
+#> 4 1 -1.55 -3.10 0.4196747 0.1339625 -1.13032530 -2.966038 1
+#> 5 1 -1.90 -3.60 1.4311714 2.0266955 -0.46882861 -1.573305 1
+#> 6 1 -13.70 -1.85 0.6327044 0.3204306 -13.06729563 -1.529569 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -36075 9450
+#> initial value 998.131940
+#> iter 2 value 831.901337
+#> iter 3 value 815.452233
+#> iter 4 value 814.886847
+#> iter 5 value 780.254149
+#> iter 6 value 773.807245
+#> iter 7 value 773.029841
+#> iter 8 value 773.010722
+#> iter 9 value 773.010565
+#> iter 9 value 773.010559
+#> iter 9 value 773.010559
+#> final value 773.010559
+#> converged
+#> This is Run number 348
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.7100992 -0.1871615 -5.0100992 -1.8871615 2
+#> 2 1 -1.35 -13.20 0.5376408 -0.2130706 -0.8123592 -13.4130706 1
+#> 3 1 -2.05 -14.20 0.3423017 0.3226642 -1.7076983 -13.8773358 1
+#> 4 1 -1.55 -3.10 0.6209673 1.8602052 -0.9290327 -1.2397948 1
+#> 5 1 -1.90 -3.60 -0.2079358 -0.8410453 -2.1079358 -4.4410453 1
+#> 6 1 -13.70 -1.85 0.7721511 1.1604769 -12.9278489 -0.6895231 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3700 -34975 9425
+#> initial value 998.131940
+#> iter 2 value 845.879722
+#> iter 3 value 829.229779
+#> iter 4 value 828.575676
+#> iter 5 value 792.010817
+#> iter 6 value 785.922538
+#> iter 7 value 785.168966
+#> iter 8 value 785.153241
+#> iter 9 value 785.153124
+#> iter 10 value 785.153094
+#> iter 11 value 785.153050
+#> iter 12 value 785.153026
+#> iter 12 value 785.153026
+#> iter 12 value 785.153026
+#> final value 785.153026
+#> converged
+#> This is Run number 349
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.40722462 -0.21095561 -4.7072246 -1.910956 2
+#> 2 1 -1.35 -13.20 2.92748699 -0.70948041 1.5774870 -13.909480 1
+#> 3 1 -2.05 -14.20 0.01603193 3.04838614 -2.0339681 -11.151614 1
+#> 4 1 -1.55 -3.10 2.43999428 0.21648611 0.8899943 -2.883514 1
+#> 5 1 -1.90 -3.60 0.05610581 -1.04021886 -1.8438942 -4.640219 1
+#> 6 1 -13.70 -1.85 -0.67812921 -0.09976269 -14.3781292 -1.949763 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3960 -37775 8900
+#> initial value 998.131940
+#> iter 2 value 812.068480
+#> iter 3 value 796.262679
+#> iter 4 value 793.857270
+#> iter 5 value 760.736299
+#> iter 6 value 753.663237
+#> iter 7 value 752.675854
+#> iter 8 value 752.644896
+#> iter 9 value 752.644741
+#> iter 9 value 752.644734
+#> iter 9 value 752.644730
+#> final value 752.644730
+#> converged
+#> This is Run number 350
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.73820990 -0.9516274 -5.0382099 -2.651627 2
+#> 2 1 -1.35 -13.20 1.45145574 0.3598152 0.1014557 -12.840185 1
+#> 3 1 -2.05 -14.20 0.69209260 -0.6827985 -1.3579074 -14.882798 1
+#> 4 1 -1.55 -3.10 0.07564411 1.3749116 -1.4743559 -1.725088 1
+#> 5 1 -1.90 -3.60 -1.98760216 1.8816752 -3.8876022 -1.718325 2
+#> 6 1 -13.70 -1.85 0.04018538 -0.8240224 -13.6598146 -2.674022 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -38350 8225
+#> initial value 998.131940
+#> iter 2 value 808.286261
+#> iter 3 value 795.535536
+#> iter 4 value 794.054683
+#> iter 5 value 762.973482
+#> iter 6 value 755.518213
+#> iter 7 value 754.385344
+#> iter 8 value 754.348111
+#> iter 9 value 754.347801
+#> iter 10 value 754.347779
+#> iter 10 value 754.347768
+#> iter 11 value 754.347757
+#> iter 11 value 754.347755
+#> iter 11 value 754.347753
+#> final value 754.347753
+#> converged
+#> This is Run number 351
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.6930877 -0.7608615 -4.9930877 -2.460861 2
+#> 2 1 -1.35 -13.20 0.2742211 -1.0438702 -1.0757789 -14.243870 1
+#> 3 1 -2.05 -14.20 3.4087434 -0.3393930 1.3587434 -14.539393 1
+#> 4 1 -1.55 -3.10 -0.4223636 0.6850653 -1.9723636 -2.414935 1
+#> 5 1 -1.90 -3.60 1.5560873 -0.8855745 -0.3439127 -4.485574 1
+#> 6 1 -13.70 -1.85 0.1528302 -1.0399180 -13.5471698 -2.889918 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2700 -36450 10875
+#> initial value 998.131940
+#> iter 2 value 814.391603
+#> iter 3 value 790.469846
+#> iter 4 value 787.929117
+#> iter 5 value 752.647986
+#> iter 6 value 746.990586
+#> iter 7 value 746.358879
+#> iter 8 value 746.334865
+#> iter 9 value 746.334816
+#> iter 10 value 746.334790
+#> iter 10 value 746.334789
+#> iter 10 value 746.334782
+#> final value 746.334782
+#> converged
+#> This is Run number 352
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.33214117 -1.43967902 -2.96785883 -3.139679 1
+#> 2 1 -1.35 -13.20 1.86515780 2.18649786 0.51515780 -11.013502 1
+#> 3 1 -2.05 -14.20 1.45986677 0.52183277 -0.59013323 -13.678167 1
+#> 4 1 -1.55 -3.10 1.59763121 4.48321938 0.04763121 1.383219 2
+#> 5 1 -1.90 -3.60 -0.01809294 1.11437489 -1.91809294 -2.485625 1
+#> 6 1 -13.70 -1.85 0.31121408 -0.05655177 -13.38878592 -1.906552 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3600 -36600 9225
+#> initial value 998.131940
+#> iter 2 value 826.078606
+#> iter 3 value 809.132644
+#> iter 4 value 807.111705
+#> iter 5 value 771.860417
+#> iter 6 value 765.199796
+#> iter 7 value 764.295869
+#> iter 8 value 764.271167
+#> iter 9 value 764.271016
+#> iter 10 value 764.271005
+#> iter 10 value 764.270998
+#> iter 10 value 764.270994
+#> final value 764.270994
+#> converged
+#> This is Run number 353
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.0760295 2.0687626 -3.2239705 0.3687626 2
+#> 2 1 -1.35 -13.20 0.7028666 0.7441343 -0.6471334 -12.4558657 1
+#> 3 1 -2.05 -14.20 -1.0235181 0.5151653 -3.0735181 -13.6848347 1
+#> 4 1 -1.55 -3.10 -0.2489742 1.1668830 -1.7989742 -1.9331170 1
+#> 5 1 -1.90 -3.60 -0.7217853 1.3603971 -2.6217853 -2.2396029 2
+#> 6 1 -13.70 -1.85 -0.3610135 1.9852452 -14.0610135 0.1352452 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3700 -36500 9350
+#> initial value 998.131940
+#> iter 2 value 826.666948
+#> iter 3 value 809.657294
+#> iter 4 value 808.079585
+#> iter 5 value 773.181516
+#> iter 6 value 766.602631
+#> iter 7 value 765.744679
+#> iter 8 value 765.721312
+#> iter 9 value 765.721147
+#> iter 10 value 765.721129
+#> iter 11 value 765.721111
+#> iter 12 value 765.721096
+#> iter 12 value 765.721096
+#> iter 12 value 765.721096
+#> final value 765.721096
+#> converged
+#> This is Run number 354
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.8280468 0.6575452 -5.128047 -1.0424548 2
+#> 2 1 -1.35 -13.20 -1.0972241 -0.6875107 -2.447224 -13.8875107 1
+#> 3 1 -2.05 -14.20 0.3782986 -0.1676377 -1.671701 -14.3676377 1
+#> 4 1 -1.55 -3.10 -0.5584446 0.4775008 -2.108445 -2.6224992 1
+#> 5 1 -1.90 -3.60 0.4417644 2.8458602 -1.458236 -0.7541398 2
+#> 6 1 -13.70 -1.85 2.2735837 0.4203717 -11.426416 -1.4296283 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3760 -37500 9800
+#> initial value 998.131940
+#> iter 2 value 809.542778
+#> iter 3 value 791.016427
+#> iter 4 value 789.331087
+#> iter 5 value 756.566673
+#> iter 6 value 750.005250
+#> iter 7 value 749.231870
+#> iter 8 value 749.205188
+#> iter 9 value 749.205054
+#> iter 10 value 749.205022
+#> iter 11 value 749.204994
+#> iter 11 value 749.204993
+#> iter 11 value 749.204993
+#> final value 749.204993
+#> converged
+#> This is Run number 355
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.28494870 3.0396031 -4.5849487 1.339603 2
+#> 2 1 -1.35 -13.20 0.11002782 0.6487232 -1.2399722 -12.551277 1
+#> 3 1 -2.05 -14.20 0.06833971 -2.2109330 -1.9816603 -16.410933 1
+#> 4 1 -1.55 -3.10 0.37976635 0.2125522 -1.1702337 -2.887448 1
+#> 5 1 -1.90 -3.60 0.99738179 -0.4946616 -0.9026182 -4.094662 1
+#> 6 1 -13.70 -1.85 4.96083599 0.1841759 -8.7391640 -1.665824 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3120 -36900 9875
+#> initial value 998.131940
+#> iter 2 value 816.694184
+#> iter 3 value 796.662728
+#> iter 4 value 793.793377
+#> iter 5 value 758.449533
+#> iter 6 value 752.078011
+#> iter 7 value 751.274428
+#> iter 8 value 751.248419
+#> iter 9 value 751.248353
+#> iter 9 value 751.248350
+#> iter 9 value 751.248350
+#> final value 751.248350
+#> converged
+#> This is Run number 356
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.493859562 0.58085255 -3.806140 -1.1191475 2
+#> 2 1 -1.35 -13.20 0.006197033 -0.05073614 -1.343803 -13.2507361 1
+#> 3 1 -2.05 -14.20 0.908180818 2.59398349 -1.141819 -11.6060165 1
+#> 4 1 -1.55 -3.10 -0.198641754 -0.42669242 -1.748642 -3.5266924 1
+#> 5 1 -1.90 -3.60 0.315001927 1.66841410 -1.584998 -1.9315859 1
+#> 6 1 -13.70 -1.85 1.043643126 2.17775456 -12.656357 0.3277546 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3880 -36350 8775
+#> initial value 998.131940
+#> iter 2 value 832.747751
+#> iter 3 value 817.677662
+#> iter 4 value 816.070799
+#> iter 5 value 780.517001
+#> iter 6 value 773.738819
+#> iter 7 value 772.732155
+#> iter 8 value 772.706156
+#> iter 9 value 772.705970
+#> iter 10 value 772.705951
+#> iter 11 value 772.705938
+#> iter 12 value 772.705926
+#> iter 12 value 772.705926
+#> iter 12 value 772.705926
+#> final value 772.705926
+#> converged
+#> This is Run number 357
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.6677742 1.9866488 -4.967774 0.2866488 2
+#> 2 1 -1.35 -13.20 0.0472669 0.6881176 -1.302733 -12.5118824 1
+#> 3 1 -2.05 -14.20 3.2915369 1.2226625 1.241537 -12.9773375 1
+#> 4 1 -1.55 -3.10 0.1534111 -0.7941660 -1.396589 -3.8941660 1
+#> 5 1 -1.90 -3.60 -0.5487727 0.7617277 -2.448773 -2.8382723 1
+#> 6 1 -13.70 -1.85 -0.2122041 0.1749201 -13.912204 -1.6750799 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3360 -36875 10050
+#> initial value 998.131940
+#> iter 2 value 816.055558
+#> iter 3 value 796.143070
+#> iter 4 value 794.152971
+#> iter 5 value 759.921742
+#> iter 6 value 753.634602
+#> iter 7 value 752.897004
+#> iter 8 value 752.872865
+#> iter 9 value 752.872760
+#> iter 10 value 752.872738
+#> iter 11 value 752.872719
+#> iter 11 value 752.872718
+#> iter 11 value 752.872718
+#> final value 752.872718
+#> converged
+#> This is Run number 358
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.5824587 -0.3865554 -1.71754131 -2.086555 1
+#> 2 1 -1.35 -13.20 1.3350190 -0.7825154 -0.01498102 -13.982515 1
+#> 3 1 -2.05 -14.20 0.9407773 1.4464402 -1.10922267 -12.753560 1
+#> 4 1 -1.55 -3.10 -0.1773595 0.2101963 -1.72735949 -2.889804 1
+#> 5 1 -1.90 -3.60 -0.6042140 1.0500175 -2.50421399 -2.549982 1
+#> 6 1 -13.70 -1.85 0.7509201 0.4394742 -12.94907991 -1.410526 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -38825 8225
+#> initial value 998.131940
+#> iter 2 value 801.071750
+#> iter 3 value 788.019962
+#> iter 4 value 785.995374
+#> iter 5 value 755.697858
+#> iter 6 value 748.171279
+#> iter 7 value 747.062309
+#> iter 8 value 747.024233
+#> iter 9 value 747.023984
+#> iter 10 value 747.023972
+#> iter 10 value 747.023970
+#> iter 10 value 747.023962
+#> final value 747.023962
+#> converged
+#> This is Run number 359
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 4.1601716 -0.2821955 -0.1398284 -1.9821955 1
+#> 2 1 -1.35 -13.20 -0.5195638 -0.4630761 -1.8695638 -13.6630761 1
+#> 3 1 -2.05 -14.20 1.8179858 -1.2466309 -0.2320142 -15.4466309 1
+#> 4 1 -1.55 -3.10 1.4483258 -0.6609147 -0.1016742 -3.7609147 1
+#> 5 1 -1.90 -3.60 2.2181504 -0.4226800 0.3181504 -4.0226800 1
+#> 6 1 -13.70 -1.85 5.0189641 1.6777873 -8.6810359 -0.1722127 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4140 -37650 9175
+#> initial value 998.131940
+#> iter 2 value 812.140884
+#> iter 3 value 796.084607
+#> iter 4 value 794.584391
+#> iter 5 value 762.095534
+#> iter 6 value 755.166823
+#> iter 7 value 754.271966
+#> iter 8 value 754.243431
+#> iter 9 value 754.243227
+#> iter 9 value 754.243221
+#> iter 9 value 754.243221
+#> final value 754.243221
+#> converged
+#> This is Run number 360
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.89686045 -0.3328263 -3.403140 -2.032826 2
+#> 2 1 -1.35 -13.20 0.07698910 1.4091544 -1.273011 -11.790846 1
+#> 3 1 -2.05 -14.20 0.33702950 -0.6372516 -1.712970 -14.837252 1
+#> 4 1 -1.55 -3.10 -0.04307282 -0.7349836 -1.593073 -3.834984 1
+#> 5 1 -1.90 -3.60 -0.55302215 0.7162066 -2.453022 -2.883793 1
+#> 6 1 -13.70 -1.85 1.00097325 0.8374605 -12.699027 -1.012540 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3620 -36950 9800
+#> initial value 998.131940
+#> iter 2 value 817.174385
+#> iter 3 value 798.556632
+#> iter 4 value 796.918595
+#> iter 5 value 763.084927
+#> iter 6 value 756.626670
+#> iter 7 value 755.858081
+#> iter 8 value 755.834081
+#> iter 9 value 755.833943
+#> iter 10 value 755.833920
+#> iter 11 value 755.833895
+#> iter 11 value 755.833886
+#> iter 11 value 755.833886
+#> final value 755.833886
+#> converged
+#> This is Run number 361
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2031276 3.1028091 -4.5031276 1.4028091 2
+#> 2 1 -1.35 -13.20 0.5280561 3.0817623 -0.8219439 -10.1182377 1
+#> 3 1 -2.05 -14.20 0.5588406 -0.5705703 -1.4911594 -14.7705703 1
+#> 4 1 -1.55 -3.10 1.2690753 -0.3073787 -0.2809247 -3.4073787 1
+#> 5 1 -1.90 -3.60 0.2602291 0.6707287 -1.6397709 -2.9292713 1
+#> 6 1 -13.70 -1.85 -0.5139477 1.0406379 -14.2139477 -0.8093621 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3540 -36200 10525
+#> initial value 998.131940
+#> iter 2 value 821.737644
+#> iter 3 value 801.035959
+#> iter 4 value 800.339918
+#> iter 5 value 766.546656
+#> iter 6 value 760.619105
+#> iter 7 value 760.034665
+#> iter 8 value 760.017425
+#> iter 9 value 760.017333
+#> iter 10 value 760.017237
+#> iter 11 value 760.017195
+#> iter 11 value 760.017185
+#> iter 11 value 760.017185
+#> final value 760.017185
+#> converged
+#> This is Run number 362
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.90373433 -0.1696859 -5.2037343 -1.8696859 2
+#> 2 1 -1.35 -13.20 -0.74185923 3.1553496 -2.0918592 -10.0446504 1
+#> 3 1 -2.05 -14.20 2.15388611 1.0908395 0.1038861 -13.1091605 1
+#> 4 1 -1.55 -3.10 0.47932879 -0.7952811 -1.0706712 -3.8952811 1
+#> 5 1 -1.90 -3.60 0.05351123 0.8851316 -1.8464888 -2.7148684 1
+#> 6 1 -13.70 -1.85 2.03494700 1.5350796 -11.6650530 -0.3149204 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4140 -38100 9275
+#> initial value 998.131940
+#> iter 2 value 804.868556
+#> iter 3 value 788.373391
+#> iter 4 value 786.646117
+#> iter 5 value 754.992284
+#> iter 6 value 748.047901
+#> iter 7 value 747.175306
+#> iter 8 value 747.144850
+#> iter 9 value 747.144675
+#> iter 10 value 747.144660
+#> iter 11 value 747.144640
+#> iter 12 value 747.144627
+#> iter 12 value 747.144627
+#> iter 12 value 747.144627
+#> final value 747.144627
+#> converged
+#> This is Run number 363
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.61014063 0.3370451 -4.9101406 -1.3629549 2
+#> 2 1 -1.35 -13.20 0.07737053 0.5315491 -1.2726295 -12.6684509 1
+#> 3 1 -2.05 -14.20 -1.57403005 1.6342724 -3.6240301 -12.5657276 1
+#> 4 1 -1.55 -3.10 0.61165755 0.5464110 -0.9383424 -2.5535890 1
+#> 5 1 -1.90 -3.60 0.44375319 4.4184784 -1.4562468 0.8184784 2
+#> 6 1 -13.70 -1.85 0.22162846 0.1776341 -13.4783715 -1.6723659 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3260 -37200 9725
+#> initial value 998.131940
+#> iter 2 value 813.792944
+#> iter 3 value 794.395015
+#> iter 4 value 791.470955
+#> iter 5 value 756.673511
+#> iter 6 value 750.157349
+#> iter 7 value 749.321969
+#> iter 8 value 749.294342
+#> iter 9 value 749.294274
+#> iter 9 value 749.294272
+#> iter 9 value 749.294272
+#> final value 749.294272
+#> converged
+#> This is Run number 364
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.6843081 0.5077307 -3.615692 -1.1922693 2
+#> 2 1 -1.35 -13.20 -1.6501342 0.8439884 -3.000134 -12.3560116 1
+#> 3 1 -2.05 -14.20 0.7571827 2.4868032 -1.292817 -11.7131968 1
+#> 4 1 -1.55 -3.10 -0.5656979 -1.2520622 -2.115698 -4.3520622 1
+#> 5 1 -1.90 -3.60 -0.1483672 -0.8118115 -2.048367 -4.4118115 1
+#> 6 1 -13.70 -1.85 3.3537251 1.0349922 -10.346275 -0.8150078 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3640 -36625 8975
+#> initial value 998.131940
+#> iter 2 value 827.480243
+#> iter 3 value 811.256521
+#> iter 4 value 809.067082
+#> iter 5 value 773.527298
+#> iter 6 value 766.743736
+#> iter 7 value 765.773822
+#> iter 8 value 765.747926
+#> iter 9 value 765.747775
+#> iter 9 value 765.747765
+#> iter 9 value 765.747761
+#> final value 765.747761
+#> converged
+#> This is Run number 365
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.2494459 -0.5736082 -4.5494459 -2.273608 2
+#> 2 1 -1.35 -13.20 0.7447043 -0.9745849 -0.6052957 -14.174585 1
+#> 3 1 -2.05 -14.20 -1.6618170 1.2437139 -3.7118170 -12.956286 1
+#> 4 1 -1.55 -3.10 1.3023987 -0.4296654 -0.2476013 -3.529665 1
+#> 5 1 -1.90 -3.60 0.7092174 -1.0427777 -1.1907826 -4.642778 1
+#> 6 1 -13.70 -1.85 0.8880767 0.2708953 -12.8119233 -1.579105 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4160 -37800 9500
+#> initial value 998.131940
+#> iter 2 value 807.690230
+#> iter 3 value 790.744440
+#> iter 4 value 789.537734
+#> iter 5 value 757.710193
+#> iter 6 value 750.911039
+#> iter 7 value 750.104363
+#> iter 8 value 750.076965
+#> iter 9 value 750.076784
+#> iter 10 value 750.076746
+#> iter 11 value 750.076705
+#> iter 12 value 750.076693
+#> iter 12 value 750.076693
+#> iter 12 value 750.076693
+#> final value 750.076693
+#> converged
+#> This is Run number 366
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.1056079 -0.1753520 -4.4056079 -1.875352 2
+#> 2 1 -1.35 -13.20 0.8404577 -0.8275544 -0.5095423 -14.027554 1
+#> 3 1 -2.05 -14.20 -0.2473771 -0.9430835 -2.2973771 -15.143083 1
+#> 4 1 -1.55 -3.10 -1.1687730 0.7042485 -2.7187730 -2.395751 2
+#> 5 1 -1.90 -3.60 0.4362037 0.4354568 -1.4637963 -3.164543 1
+#> 6 1 -13.70 -1.85 3.5942901 0.3207793 -10.1057099 -1.529221 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2680 -36350 10900
+#> initial value 998.131940
+#> iter 2 value 815.503788
+#> iter 3 value 791.496446
+#> iter 4 value 789.015895
+#> iter 5 value 753.642173
+#> iter 6 value 748.018294
+#> iter 7 value 747.395189
+#> iter 8 value 747.371860
+#> iter 9 value 747.371810
+#> iter 10 value 747.371782
+#> iter 10 value 747.371782
+#> iter 10 value 747.371774
+#> final value 747.371774
+#> converged
+#> This is Run number 367
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.03796936 0.6704990 -4.337969 -1.02950097 2
+#> 2 1 -1.35 -13.20 2.39736383 -0.7323296 1.047364 -13.93232964 1
+#> 3 1 -2.05 -14.20 -0.04102684 1.7773218 -2.091027 -12.42267818 1
+#> 4 1 -1.55 -3.10 -0.69248884 0.1314504 -2.242489 -2.96854961 1
+#> 5 1 -1.90 -3.60 4.14155127 1.1544969 2.241551 -2.44550312 1
+#> 6 1 -13.70 -1.85 2.27647874 1.8306359 -11.423521 -0.01936411 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3880 -37475 8750
+#> initial value 998.131940
+#> iter 2 value 817.319348
+#> iter 3 value 801.826036
+#> iter 4 value 799.300472
+#> iter 5 value 765.258938
+#> iter 6 value 758.169600
+#> iter 7 value 757.137636
+#> iter 8 value 757.107386
+#> iter 9 value 757.107237
+#> iter 9 value 757.107230
+#> iter 9 value 757.107227
+#> final value 757.107227
+#> converged
+#> This is Run number 368
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.9243019 -0.7621694 -2.3756981 -2.4621694 1
+#> 2 1 -1.35 -13.20 -0.4502375 1.0356326 -1.8002375 -12.1643674 1
+#> 3 1 -2.05 -14.20 1.4016576 2.5256878 -0.6483424 -11.6743122 1
+#> 4 1 -1.55 -3.10 -0.8048955 -0.3032226 -2.3548955 -3.4032226 1
+#> 5 1 -1.90 -3.60 1.6253287 3.0406371 -0.2746713 -0.5593629 1
+#> 6 1 -13.70 -1.85 0.8783684 0.8536065 -12.8216316 -0.9963935 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2880 -35775 11450
+#> initial value 998.131940
+#> iter 2 value 818.811250
+#> iter 3 value 793.710632
+#> iter 4 value 792.691968
+#> iter 5 value 758.601054
+#> iter 6 value 753.378289
+#> iter 7 value 752.896298
+#> iter 8 value 752.879454
+#> iter 9 value 752.879399
+#> iter 10 value 752.879256
+#> iter 10 value 752.879253
+#> iter 10 value 752.879247
+#> final value 752.879247
+#> converged
+#> This is Run number 369
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.08373031 -1.1541795 -2.216270 -2.8541795 1
+#> 2 1 -1.35 -13.20 0.11574547 1.1829660 -1.234255 -12.0170340 1
+#> 3 1 -2.05 -14.20 -0.02127318 -0.1507864 -2.071273 -14.3507864 1
+#> 4 1 -1.55 -3.10 -0.11296428 1.7159450 -1.662964 -1.3840550 2
+#> 5 1 -1.90 -3.60 -0.13695026 0.4768277 -2.036950 -3.1231723 1
+#> 6 1 -13.70 -1.85 -0.17993297 1.1070545 -13.879933 -0.7429455 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -37425 9275
+#> initial value 998.131940
+#> iter 2 value 814.610493
+#> iter 3 value 798.166833
+#> iter 4 value 796.684233
+#> iter 5 value 763.758524
+#> iter 6 value 756.922300
+#> iter 7 value 756.048759
+#> iter 8 value 756.021555
+#> iter 9 value 756.021361
+#> iter 9 value 756.021354
+#> iter 9 value 756.021354
+#> final value 756.021354
+#> converged
+#> This is Run number 370
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.04481537 2.4918578 -3.255185 0.7918578 2
+#> 2 1 -1.35 -13.20 -0.54170388 1.7771498 -1.891704 -11.4228502 1
+#> 3 1 -2.05 -14.20 0.27861201 -0.4555028 -1.771388 -14.6555028 1
+#> 4 1 -1.55 -3.10 -0.27475207 1.6833795 -1.824752 -1.4166205 2
+#> 5 1 -1.90 -3.60 -1.28072852 1.8350465 -3.180729 -1.7649535 2
+#> 6 1 -13.70 -1.85 0.03398748 0.2176585 -13.666013 -1.6323415 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3500 -37725 9950
+#> initial value 998.131940
+#> iter 2 value 804.910206
+#> iter 3 value 785.248664
+#> iter 4 value 782.809265
+#> iter 5 value 749.841156
+#> iter 6 value 743.367933
+#> iter 7 value 742.586916
+#> iter 8 value 742.557213
+#> iter 9 value 742.557133
+#> iter 10 value 742.557113
+#> iter 10 value 742.557112
+#> iter 10 value 742.557112
+#> final value 742.557112
+#> converged
+#> This is Run number 371
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -1.4987915 -0.3359387 -5.7987915 -2.0359387 2
+#> 2 1 -1.35 -13.20 1.0638898 0.2239183 -0.2861102 -12.9760817 1
+#> 3 1 -2.05 -14.20 1.0143130 1.5891818 -1.0356870 -12.6108182 1
+#> 4 1 -1.55 -3.10 0.4011225 2.1039672 -1.1488775 -0.9960328 2
+#> 5 1 -1.90 -3.60 2.0218186 -0.1117602 0.1218186 -3.7117602 1
+#> 6 1 -13.70 -1.85 2.6862415 -0.8145232 -11.0137585 -2.6645232 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3900 -38925 9975
+#> initial value 998.131940
+#> iter 2 value 787.112881
+#> iter 3 value 767.819448
+#> iter 4 value 765.564823
+#> iter 5 value 735.413662
+#> iter 6 value 728.875916
+#> iter 7 value 728.105420
+#> iter 8 value 728.068442
+#> iter 9 value 728.068371
+#> iter 10 value 728.068307
+#> iter 11 value 728.068269
+#> iter 11 value 728.068261
+#> iter 11 value 728.068261
+#> final value 728.068261
+#> converged
+#> This is Run number 372
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.32213802 -1.375197472 -1.9778620 -3.075197 1
+#> 2 1 -1.35 -13.20 3.28348744 1.467772530 1.9334874 -11.732227 1
+#> 3 1 -2.05 -14.20 -0.08771016 -0.387591558 -2.1377102 -14.587592 1
+#> 4 1 -1.55 -3.10 -0.58452625 0.002577193 -2.1345263 -3.097423 1
+#> 5 1 -1.90 -3.60 1.91943020 1.422708124 0.0194302 -2.177292 1
+#> 6 1 -13.70 -1.85 2.98471963 0.095495400 -10.7152804 -1.754505 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3540 -37025 10100
+#> initial value 998.131940
+#> iter 2 value 813.795484
+#> iter 3 value 794.094807
+#> iter 4 value 792.518063
+#> iter 5 value 759.028350
+#> iter 6 value 752.724074
+#> iter 7 value 752.011353
+#> iter 8 value 751.987490
+#> iter 9 value 751.987373
+#> iter 10 value 751.987330
+#> iter 11 value 751.987301
+#> iter 11 value 751.987300
+#> iter 11 value 751.987300
+#> final value 751.987300
+#> converged
+#> This is Run number 373
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.1042026 -0.20871038 -3.1957974 -1.908710 2
+#> 2 1 -1.35 -13.20 -0.6032502 0.62559660 -1.9532502 -12.574403 1
+#> 3 1 -2.05 -14.20 -1.0237174 0.52768387 -3.0737174 -13.672316 1
+#> 4 1 -1.55 -3.10 1.7460462 0.07023661 0.1960462 -3.029763 1
+#> 5 1 -1.90 -3.60 -1.4674316 -0.20367820 -3.3674316 -3.803678 1
+#> 6 1 -13.70 -1.85 1.4777285 -0.75131150 -12.2222715 -2.601312 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3140 -36050 10150
+#> initial value 998.131940
+#> iter 2 value 826.179032
+#> iter 3 value 805.802280
+#> iter 4 value 803.991366
+#> iter 5 value 768.443717
+#> iter 6 value 762.400110
+#> iter 7 value 761.704727
+#> iter 8 value 761.684833
+#> iter 9 value 761.684732
+#> iter 10 value 761.684713
+#> iter 11 value 761.684694
+#> iter 11 value 761.684688
+#> iter 11 value 761.684688
+#> final value 761.684688
+#> converged
+#> This is Run number 374
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3581952 -1.4652686 -4.6581952 -3.1652686 2
+#> 2 1 -1.35 -13.20 1.0311563 -0.9225877 -0.3188437 -14.1225877 1
+#> 3 1 -2.05 -14.20 -0.8268722 -1.6065640 -2.8768722 -15.8065640 1
+#> 4 1 -1.55 -3.10 0.2365710 -0.8443230 -1.3134290 -3.9443230 1
+#> 5 1 -1.90 -3.60 3.3925580 -0.5287893 1.4925580 -4.1287893 1
+#> 6 1 -13.70 -1.85 1.7544209 1.9822507 -11.9455791 0.1322507 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3600 -35200 8575
+#> initial value 998.131940
+#> iter 2 value 848.700234
+#> iter 3 value 833.992089
+#> iter 4 value 832.412097
+#> iter 5 value 794.368737
+#> iter 6 value 787.891946
+#> iter 7 value 786.872791
+#> iter 8 value 786.850082
+#> iter 9 value 786.849944
+#> iter 10 value 786.849931
+#> iter 11 value 786.849919
+#> iter 11 value 786.849910
+#> iter 11 value 786.849910
+#> final value 786.849910
+#> converged
+#> This is Run number 375
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.5304202 0.744170136 -4.83042021 -0.9558299 2
+#> 2 1 -1.35 -13.20 -1.0024513 -0.519214662 -2.35245129 -13.7192147 1
+#> 3 1 -2.05 -14.20 0.2743289 0.007433027 -1.77567111 -14.1925670 1
+#> 4 1 -1.55 -3.10 1.6350345 -0.801914564 0.08503447 -3.9019146 1
+#> 5 1 -1.90 -3.60 -0.5699108 -0.920232679 -2.46991077 -4.5202327 1
+#> 6 1 -13.70 -1.85 1.9735085 0.398151328 -11.72649147 -1.4518487 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2820 -37250 11125
+#> initial value 998.131940
+#> iter 2 value 801.418396
+#> iter 3 value 776.631567
+#> iter 4 value 774.011448
+#> iter 5 value 740.263801
+#> iter 6 value 734.664972
+#> iter 7 value 734.034642
+#> iter 8 value 734.004679
+#> iter 9 value 734.004632
+#> iter 10 value 734.004582
+#> iter 11 value 734.004549
+#> iter 11 value 734.004544
+#> iter 11 value 734.004544
+#> final value 734.004544
+#> converged
+#> This is Run number 376
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 2.03200797 1.0036634 -2.26799203 -0.6963366 2
+#> 2 1 -1.35 -13.20 -0.50531906 0.2684152 -1.85531906 -12.9315848 1
+#> 3 1 -2.05 -14.20 1.40942010 1.1764181 -0.64057990 -13.0235819 1
+#> 4 1 -1.55 -3.10 1.49715128 3.3145822 -0.05284872 0.2145822 2
+#> 5 1 -1.90 -3.60 -1.93106877 0.1627425 -3.83106877 -3.4372575 2
+#> 6 1 -13.70 -1.85 -0.01197599 0.3700398 -13.71197599 -1.4799602 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3820 -36475 8325
+#> initial value 998.131940
+#> iter 2 value 833.878563
+#> iter 3 value 819.691655
+#> iter 4 value 817.455887
+#> iter 5 value 781.108278
+#> iter 6 value 774.097657
+#> iter 7 value 772.951619
+#> iter 8 value 772.922681
+#> iter 9 value 772.922522
+#> iter 9 value 772.922514
+#> iter 9 value 772.922512
+#> final value 772.922512
+#> converged
+#> This is Run number 377
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.29527575 1.5128487 -4.595276 -0.1871513 2
+#> 2 1 -1.35 -13.20 -0.05983271 -0.7698310 -1.409833 -13.9698310 1
+#> 3 1 -2.05 -14.20 0.61473660 -0.3654838 -1.435263 -14.5654838 1
+#> 4 1 -1.55 -3.10 2.00338402 -0.5111758 0.453384 -3.6111758 1
+#> 5 1 -1.90 -3.60 0.28425752 -0.2641840 -1.615742 -3.8641840 1
+#> 6 1 -13.70 -1.85 -0.28085283 -0.4538075 -13.980853 -2.3038075 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2740 -36425 10275
+#> initial value 998.131940
+#> iter 2 value 819.571228
+#> iter 3 value 797.605153
+#> iter 4 value 794.561002
+#> iter 5 value 758.111328
+#> iter 6 value 752.086560
+#> iter 7 value 751.350782
+#> iter 8 value 751.326559
+#> iter 9 value 751.326514
+#> iter 9 value 751.326511
+#> iter 9 value 751.326511
+#> final value 751.326511
+#> converged
+#> This is Run number 378
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 4.7737172 2.463713023 0.4737172 0.763713 2
+#> 2 1 -1.35 -13.20 0.1490473 -0.008102119 -1.2009527 -13.208102 1
+#> 3 1 -2.05 -14.20 1.2896515 0.101042974 -0.7603485 -14.098957 1
+#> 4 1 -1.55 -3.10 2.6591001 0.755670513 1.1091001 -2.344329 1
+#> 5 1 -1.90 -3.60 1.3076491 -0.063106334 -0.5923509 -3.663106 1
+#> 6 1 -13.70 -1.85 1.1216524 -0.629810962 -12.5783476 -2.479811 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3900 -35350 8050
+#> initial value 998.131940
+#> iter 2 value 850.321556
+#> iter 3 value 837.412544
+#> iter 4 value 835.913429
+#> iter 5 value 797.904591
+#> iter 6 value 791.223783
+#> iter 7 value 790.036863
+#> iter 8 value 790.009241
+#> iter 9 value 790.009077
+#> iter 10 value 790.009064
+#> iter 11 value 790.009050
+#> iter 11 value 790.009040
+#> iter 11 value 790.009040
+#> final value 790.009040
+#> converged
+#> This is Run number 379
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.5004269 0.4503141 -3.79957313 -1.2496859 2
+#> 2 1 -1.35 -13.20 0.3806638 1.4080109 -0.96933617 -11.7919891 1
+#> 3 1 -2.05 -14.20 -0.2118419 1.1752249 -2.26184189 -13.0247751 1
+#> 4 1 -1.55 -3.10 1.8191562 -0.2561109 0.26915624 -3.3561109 1
+#> 5 1 -1.90 -3.60 1.9523832 -1.5008345 0.05238321 -5.1008345 1
+#> 6 1 -13.70 -1.85 -1.1094914 2.4283147 -14.80949142 0.5783147 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3280 -37775 9850
+#> initial value 998.131940
+#> iter 2 value 804.649259
+#> iter 3 value 784.676332
+#> iter 4 value 781.382360
+#> iter 5 value 747.523934
+#> iter 6 value 741.011789
+#> iter 7 value 740.180145
+#> iter 8 value 740.148213
+#> iter 9 value 740.148176
+#> iter 9 value 740.148172
+#> iter 9 value 740.148172
+#> final value 740.148172
+#> converged
+#> This is Run number 380
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.8238235 -0.36789829 -5.12382348 -2.067898 2
+#> 2 1 -1.35 -13.20 0.3858726 0.63378694 -0.96412743 -12.566213 1
+#> 3 1 -2.05 -14.20 0.5237378 0.65483458 -1.52626219 -13.545165 1
+#> 4 1 -1.55 -3.10 1.4506927 -0.53698379 -0.09930726 -3.636984 1
+#> 5 1 -1.90 -3.60 1.1255678 0.14031834 -0.77443219 -3.459682 1
+#> 6 1 -13.70 -1.85 -0.5728860 -0.04157317 -14.27288601 -1.891573 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3460 -36725 9200
+#> initial value 998.131940
+#> iter 2 value 824.383509
+#> iter 3 value 807.110808
+#> iter 4 value 804.609549
+#> iter 5 value 769.003893
+#> iter 6 value 762.296982
+#> iter 7 value 761.372627
+#> iter 8 value 761.347129
+#> iter 9 value 761.347011
+#> iter 9 value 761.347004
+#> iter 9 value 761.347002
+#> final value 761.347002
+#> converged
+#> This is Run number 381
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.85760768 0.1593707 -2.442392 -1.540629 2
+#> 2 1 -1.35 -13.20 -0.05279297 0.6203270 -1.402793 -12.579673 1
+#> 3 1 -2.05 -14.20 0.32029435 0.7356314 -1.729706 -13.464369 1
+#> 4 1 -1.55 -3.10 0.17708938 1.5847611 -1.372911 -1.515239 1
+#> 5 1 -1.90 -3.60 -1.61047892 0.5943495 -3.510479 -3.005651 2
+#> 6 1 -13.70 -1.85 -0.48710711 -0.1760377 -14.187107 -2.026038 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2980 -37750 10450
+#> initial value 998.131940
+#> iter 2 value 799.985535
+#> iter 3 value 777.492037
+#> iter 4 value 774.014748
+#> iter 5 value 740.061548
+#> iter 6 value 733.966858
+#> iter 7 value 733.212364
+#> iter 8 value 733.178220
+#> iter 9 value 733.178192
+#> iter 9 value 733.178183
+#> iter 9 value 733.178183
+#> final value 733.178183
+#> converged
+#> This is Run number 382
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.5757730 -0.04900852 -4.8757730 -1.7490085 2
+#> 2 1 -1.35 -13.20 -0.8864095 0.04445981 -2.2364095 -13.1555402 1
+#> 3 1 -2.05 -14.20 -0.6520247 -0.95828076 -2.7020247 -15.1582808 1
+#> 4 1 -1.55 -3.10 1.3616196 2.14496112 -0.1883804 -0.9550389 1
+#> 5 1 -1.90 -3.60 1.7440940 -0.15353866 -0.1559060 -3.7535387 1
+#> 6 1 -13.70 -1.85 1.7547992 0.98881260 -11.9452008 -0.8611874 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3740 -37375 8900
+#> initial value 998.131940
+#> iter 2 value 817.627550
+#> iter 3 value 801.483974
+#> iter 4 value 798.832130
+#> iter 5 value 764.445623
+#> iter 6 value 757.445723
+#> iter 7 value 756.447274
+#> iter 8 value 756.418044
+#> iter 9 value 756.417917
+#> iter 9 value 756.417912
+#> iter 9 value 756.417909
+#> final value 756.417909
+#> converged
+#> This is Run number 383
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.9400618 1.07367366 -5.2400618 -0.6263263 2
+#> 2 1 -1.35 -13.20 0.6277262 2.01935340 -0.7222738 -11.1806466 1
+#> 3 1 -2.05 -14.20 1.7021077 0.22244379 -0.3478923 -13.9775562 1
+#> 4 1 -1.55 -3.10 0.2092025 -0.49853397 -1.3407975 -3.5985340 1
+#> 5 1 -1.90 -3.60 -0.9942759 -0.09642462 -2.8942759 -3.6964246 1
+#> 6 1 -13.70 -1.85 -0.8354033 0.77153072 -14.5354033 -1.0784693 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -38000 8125
+#> initial value 998.131940
+#> iter 2 value 814.092893
+#> iter 3 value 801.770020
+#> iter 4 value 800.525984
+#> iter 5 value 768.747308
+#> iter 6 value 761.328837
+#> iter 7 value 760.147340
+#> iter 8 value 760.109880
+#> iter 9 value 760.109554
+#> iter 10 value 760.109527
+#> iter 11 value 760.109509
+#> iter 12 value 760.109485
+#> iter 12 value 760.109485
+#> iter 12 value 760.109485
+#> final value 760.109485
+#> converged
+#> This is Run number 384
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.50849055 1.74844451 -3.7915095 0.04844451 2
+#> 2 1 -1.35 -13.20 1.10398435 1.12593663 -0.2460156 -12.07406337 1
+#> 3 1 -2.05 -14.20 -0.04720084 -0.03340665 -2.0972008 -14.23340665 1
+#> 4 1 -1.55 -3.10 1.31251666 2.23333065 -0.2374833 -0.86666935 1
+#> 5 1 -1.90 -3.60 0.89830707 -0.55645122 -1.0016929 -4.15645122 1
+#> 6 1 -13.70 -1.85 1.19891370 -0.03636525 -12.5010863 -1.88636525 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3520 -37875 9800
+#> initial value 998.131940
+#> iter 2 value 803.860157
+#> iter 3 value 784.599380
+#> iter 4 value 781.891187
+#> iter 5 value 748.936531
+#> iter 6 value 742.360549
+#> iter 7 value 741.544071
+#> iter 8 value 741.513015
+#> iter 9 value 741.512945
+#> iter 10 value 741.512933
+#> iter 10 value 741.512933
+#> iter 10 value 741.512933
+#> final value 741.512933
+#> converged
+#> This is Run number 385
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.5539792 0.41970509 -4.8539792 -1.280295 2
+#> 2 1 -1.35 -13.20 1.1524147 0.17229695 -0.1975853 -13.027703 1
+#> 3 1 -2.05 -14.20 -1.3465936 1.05376325 -3.3965936 -13.146237 1
+#> 4 1 -1.55 -3.10 -0.8364167 1.31781372 -2.3864167 -1.782186 2
+#> 5 1 -1.90 -3.60 1.3273159 -0.03606547 -0.5726841 -3.636065 1
+#> 6 1 -13.70 -1.85 0.2577498 0.61305068 -13.4422502 -1.236949 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3620 -37175 9725
+#> initial value 998.131940
+#> iter 2 value 814.577033
+#> iter 3 value 796.077349
+#> iter 4 value 794.185102
+#> iter 5 value 760.523051
+#> iter 6 value 753.985479
+#> iter 7 value 753.189968
+#> iter 8 value 753.164299
+#> iter 9 value 753.164166
+#> iter 10 value 753.164150
+#> iter 11 value 753.164132
+#> iter 11 value 753.164124
+#> iter 11 value 753.164124
+#> final value 753.164124
+#> converged
+#> This is Run number 386
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.3307772 -0.97703070 -2.96922283 -2.677031 2
+#> 2 1 -1.35 -13.20 0.3730126 0.78300180 -0.97698740 -12.416998 1
+#> 3 1 -2.05 -14.20 0.4874007 -0.07852559 -1.56259928 -14.278526 1
+#> 4 1 -1.55 -3.10 1.8877448 0.30292876 0.33774480 -2.797071 1
+#> 5 1 -1.90 -3.60 1.8036487 1.95206607 -0.09635131 -1.647934 1
+#> 6 1 -13.70 -1.85 1.6053658 -0.62949742 -12.09463420 -2.479497 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3680 -36775 10000
+#> initial value 998.131940
+#> iter 2 value 818.160301
+#> iter 3 value 799.162524
+#> iter 4 value 797.990337
+#> iter 5 value 764.372453
+#> iter 6 value 758.043002
+#> iter 7 value 757.335913
+#> iter 8 value 757.314150
+#> iter 9 value 757.314015
+#> iter 10 value 757.313969
+#> iter 11 value 757.313925
+#> iter 11 value 757.313920
+#> iter 11 value 757.313920
+#> final value 757.313920
+#> converged
+#> This is Run number 387
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.5447201 0.0879990564 -3.7552799 -1.612001 2
+#> 2 1 -1.35 -13.20 -0.8898646 0.0001200102 -2.2398646 -13.199880 1
+#> 3 1 -2.05 -14.20 1.0327780 0.0407585915 -1.0172220 -14.159241 1
+#> 4 1 -1.55 -3.10 2.7397075 -1.5797860793 1.1897075 -4.679786 1
+#> 5 1 -1.90 -3.60 1.1994292 1.2346254260 -0.7005708 -2.365375 1
+#> 6 1 -13.70 -1.85 -1.3037933 -0.4343162309 -15.0037933 -2.284316 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3740 -35825 9725
+#> initial value 998.131940
+#> iter 2 value 832.974919
+#> iter 3 value 815.250541
+#> iter 4 value 814.487790
+#> iter 5 value 779.424351
+#> iter 6 value 773.185670
+#> iter 7 value 772.463835
+#> iter 8 value 772.446150
+#> iter 9 value 772.446014
+#> iter 10 value 772.445996
+#> iter 11 value 772.445949
+#> iter 12 value 772.445908
+#> iter 12 value 772.445908
+#> iter 12 value 772.445908
+#> final value 772.445908
+#> converged
+#> This is Run number 388
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.97509032 -0.404418521 -2.3249097 -2.104419 2
+#> 2 1 -1.35 -13.20 0.05565761 0.005060358 -1.2943424 -13.194940 1
+#> 3 1 -2.05 -14.20 0.91800570 1.229265139 -1.1319943 -12.970735 1
+#> 4 1 -1.55 -3.10 0.99767453 0.277554196 -0.5523255 -2.822446 1
+#> 5 1 -1.90 -3.60 1.78081326 0.580708197 -0.1191867 -3.019292 1
+#> 6 1 -13.70 -1.85 1.02464190 -0.432978883 -12.6753581 -2.282979 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4080 -35950 8525
+#> initial value 998.131940
+#> iter 2 value 839.805539
+#> iter 3 value 825.913953
+#> iter 4 value 824.767752
+#> iter 5 value 788.734214
+#> iter 6 value 782.003889
+#> iter 7 value 780.944975
+#> iter 8 value 780.918845
+#> iter 9 value 780.918652
+#> iter 10 value 780.918627
+#> iter 11 value 780.918598
+#> iter 12 value 780.918578
+#> iter 12 value 780.918578
+#> iter 12 value 780.918578
+#> final value 780.918578
+#> converged
+#> This is Run number 389
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.8275207 -0.639394606 -2.4724793 -2.339395 2
+#> 2 1 -1.35 -13.20 0.4973062 -0.743076586 -0.8526938 -13.943077 1
+#> 3 1 -2.05 -14.20 -1.4117191 -0.003443956 -3.4617191 -14.203444 1
+#> 4 1 -1.55 -3.10 4.3032816 -0.541583766 2.7532816 -3.641584 1
+#> 5 1 -1.90 -3.60 1.0500830 -1.149952996 -0.8499170 -4.749953 1
+#> 6 1 -13.70 -1.85 2.0575200 -0.274205162 -11.6424800 -2.124205 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2920 -37650 10125
+#> initial value 998.131940
+#> iter 2 value 803.855053
+#> iter 3 value 782.180043
+#> iter 4 value 778.226442
+#> iter 5 value 743.221554
+#> iter 6 value 736.930464
+#> iter 7 value 736.113180
+#> iter 8 value 736.079392
+#> iter 9 value 736.079378
+#> iter 9 value 736.079376
+#> iter 9 value 736.079375
+#> final value 736.079375
+#> converged
+#> This is Run number 390
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.6821045 0.7181798 -3.617895 -0.9818202 2
+#> 2 1 -1.35 -13.20 4.0757349 0.9527783 2.725735 -12.2472217 1
+#> 3 1 -2.05 -14.20 0.3982918 0.3490549 -1.651708 -13.8509451 1
+#> 4 1 -1.55 -3.10 -1.0493160 0.2966815 -2.599316 -2.8033185 1
+#> 5 1 -1.90 -3.60 0.6839480 0.3739646 -1.216052 -3.2260354 1
+#> 6 1 -13.70 -1.85 -0.3167600 0.5912664 -14.016760 -1.2587336 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3260 -35675 8825
+#> initial value 998.131940
+#> iter 2 value 840.637641
+#> iter 3 value 824.310202
+#> iter 4 value 821.921961
+#> iter 5 value 783.667850
+#> iter 6 value 777.075771
+#> iter 7 value 776.091094
+#> iter 8 value 776.068791
+#> iter 9 value 776.068690
+#> iter 9 value 776.068685
+#> iter 9 value 776.068683
+#> final value 776.068683
+#> converged
+#> This is Run number 391
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.9106917 -0.8125360 -3.389308 -2.512536 2
+#> 2 1 -1.35 -13.20 0.7613620 0.8236074 -0.588638 -12.376393 1
+#> 3 1 -2.05 -14.20 -0.5783761 -0.6640253 -2.628376 -14.864025 1
+#> 4 1 -1.55 -3.10 6.4560417 -0.1213165 4.906042 -3.221316 1
+#> 5 1 -1.90 -3.60 -0.6298621 1.9372185 -2.529862 -1.662781 2
+#> 6 1 -13.70 -1.85 1.2342138 0.4195981 -12.465786 -1.430402 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -37825 8375
+#> initial value 998.131940
+#> iter 2 value 815.022211
+#> iter 3 value 801.493226
+#> iter 4 value 799.750925
+#> iter 5 value 767.234179
+#> iter 6 value 759.930471
+#> iter 7 value 758.813805
+#> iter 8 value 758.779433
+#> iter 9 value 758.779172
+#> iter 10 value 758.779154
+#> iter 10 value 758.779147
+#> iter 10 value 758.779140
+#> final value 758.779140
+#> converged
+#> This is Run number 392
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.7657366 -1.4671450 -5.0657366 -3.1671450 2
+#> 2 1 -1.35 -13.20 1.1977104 -0.7639236 -0.1522896 -13.9639236 1
+#> 3 1 -2.05 -14.20 0.5830636 0.3322872 -1.4669364 -13.8677128 1
+#> 4 1 -1.55 -3.10 1.1336049 -0.3462181 -0.4163951 -3.4462181 1
+#> 5 1 -1.90 -3.60 -0.8896255 0.8752495 -2.7896255 -2.7247505 2
+#> 6 1 -13.70 -1.85 -0.3171901 1.6015377 -14.0171901 -0.2484623 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 2920 -36650 11000
+#> initial value 998.131940
+#> iter 2 value 810.997704
+#> iter 3 value 787.158696
+#> iter 4 value 785.206003
+#> iter 5 value 751.073970
+#> iter 6 value 745.436262
+#> iter 7 value 744.838300
+#> iter 8 value 744.814653
+#> iter 9 value 744.814592
+#> iter 10 value 744.814526
+#> iter 10 value 744.814526
+#> iter 10 value 744.814526
+#> final value 744.814526
+#> converged
+#> This is Run number 393
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.4902876 0.6735175 -3.8097124 -1.0264825 2
+#> 2 1 -1.35 -13.20 -0.5068213 -0.7401942 -1.8568213 -13.9401942 1
+#> 3 1 -2.05 -14.20 -0.1989112 0.3348379 -2.2489112 -13.8651621 1
+#> 4 1 -1.55 -3.10 0.3328177 -0.9039621 -1.2171823 -4.0039621 1
+#> 5 1 -1.90 -3.60 1.5255733 2.5135634 -0.3744267 -1.0864366 1
+#> 6 1 -13.70 -1.85 -0.5064764 1.8791741 -14.2064764 0.0291741 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3340 -36825 10650
+#> initial value 998.131940
+#> iter 2 value 812.034807
+#> iter 3 value 790.268294
+#> iter 4 value 788.905555
+#> iter 5 value 755.529255
+#> iter 6 value 749.593226
+#> iter 7 value 748.975513
+#> iter 8 value 748.953188
+#> iter 9 value 748.953103
+#> iter 10 value 748.953016
+#> iter 10 value 748.953012
+#> iter 11 value 748.952999
+#> iter 11 value 748.952989
+#> iter 11 value 748.952986
+#> final value 748.952986
+#> converged
+#> This is Run number 394
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.66372044 0.51364269 -3.6362796 -1.1863573 2
+#> 2 1 -1.35 -13.20 0.61903933 -0.46948893 -0.7309607 -13.6694889 1
+#> 3 1 -2.05 -14.20 0.04191658 -0.09950792 -2.0080834 -14.2995079 1
+#> 4 1 -1.55 -3.10 0.46127621 0.27754037 -1.0887238 -2.8224596 1
+#> 5 1 -1.90 -3.60 1.08725135 4.47028958 -0.8127487 0.8702896 2
+#> 6 1 -13.70 -1.85 3.05063436 1.65761842 -10.6493656 -0.1923816 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4160 -37025 9850
+#> initial value 998.131940
+#> iter 2 value 816.167658
+#> iter 3 value 798.479829
+#> iter 4 value 797.988564
+#> iter 5 value 765.395905
+#> iter 6 value 758.886779
+#> iter 7 value 758.191307
+#> iter 8 value 758.170465
+#> iter 9 value 758.170317
+#> iter 10 value 758.170242
+#> iter 11 value 758.170168
+#> iter 12 value 758.170154
+#> iter 12 value 758.170154
+#> iter 12 value 758.170154
+#> final value 758.170154
+#> converged
+#> This is Run number 395
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.3258676 2.5605552 -4.625868 0.8605552 2
+#> 2 1 -1.35 -13.20 -0.9648202 -0.4647609 -2.314820 -13.6647609 1
+#> 3 1 -2.05 -14.20 0.6408942 0.9080456 -1.409106 -13.2919544 1
+#> 4 1 -1.55 -3.10 3.7189169 3.7562104 2.168917 0.6562104 1
+#> 5 1 -1.90 -3.60 0.4748912 1.2227608 -1.425109 -2.3772392 1
+#> 6 1 -13.70 -1.85 1.3607732 -0.3238756 -12.339227 -2.1738756 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3720 -35975 9675
+#> initial value 998.131940
+#> iter 2 value 831.362607
+#> iter 3 value 813.690389
+#> iter 4 value 812.775513
+#> iter 5 value 777.775061
+#> iter 6 value 771.475935
+#> iter 7 value 770.731449
+#> iter 8 value 770.712636
+#> iter 9 value 770.712492
+#> iter 10 value 770.712476
+#> iter 11 value 770.712434
+#> iter 12 value 770.712395
+#> iter 12 value 770.712395
+#> iter 12 value 770.712395
+#> final value 770.712395
+#> converged
+#> This is Run number 396
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.1554860 0.4993881 -4.4554860 -1.200612 2
+#> 2 1 -1.35 -13.20 0.9525896 0.7329201 -0.3974104 -12.467080 1
+#> 3 1 -2.05 -14.20 2.7461798 -1.1668117 0.6961798 -15.366812 1
+#> 4 1 -1.55 -3.10 -1.6611499 -0.7112677 -3.2111499 -3.811268 1
+#> 5 1 -1.90 -3.60 0.1267441 1.5217781 -1.7732559 -2.078222 1
+#> 6 1 -13.70 -1.85 -0.7683023 0.1841228 -14.4683023 -1.665877 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3460 -36675 8900
+#> initial value 998.131940
+#> iter 2 value 827.094089
+#> iter 3 value 810.595844
+#> iter 4 value 807.862986
+#> iter 5 value 771.585064
+#> iter 6 value 764.737832
+#> iter 7 value 763.739818
+#> iter 8 value 763.713774
+#> iter 9 value 763.713670
+#> iter 9 value 763.713665
+#> iter 9 value 763.713663
+#> final value 763.713663
+#> converged
+#> This is Run number 397
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.5367730 -0.90910000 -3.7632270 -2.609100 2
+#> 2 1 -1.35 -13.20 0.9568558 -0.60709962 -0.3931442 -13.807100 1
+#> 3 1 -2.05 -14.20 -0.3020944 0.01629013 -2.3520944 -14.183710 1
+#> 4 1 -1.55 -3.10 -0.1288342 1.67811765 -1.6788342 -1.421882 2
+#> 5 1 -1.90 -3.60 0.4207107 1.85729938 -1.4792893 -1.742701 1
+#> 6 1 -13.70 -1.85 -0.4818181 0.10236337 -14.1818181 -1.747637 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3080 -35500 9375
+#> initial value 998.131940
+#> iter 2 value 838.912140
+#> iter 3 value 820.819290
+#> iter 4 value 818.594622
+#> iter 5 value 780.762651
+#> iter 6 value 774.482009
+#> iter 7 value 773.635593
+#> iter 8 value 773.615809
+#> iter 9 value 773.615710
+#> iter 9 value 773.615702
+#> iter 9 value 773.615700
+#> final value 773.615700
+#> converged
+#> This is Run number 398
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 1.1405424 1.48939543 -3.15945762 -0.2106046 2
+#> 2 1 -1.35 -13.20 1.2676851 0.90987849 -0.08231489 -12.2901215 1
+#> 3 1 -2.05 -14.20 1.3490974 -0.85440133 -0.70090258 -15.0544013 1
+#> 4 1 -1.55 -3.10 -0.3633263 -0.08507850 -1.91332630 -3.1850785 1
+#> 5 1 -1.90 -3.60 0.3948403 -0.02191982 -1.50515973 -3.6219198 1
+#> 6 1 -13.70 -1.85 -0.7931612 -0.39154719 -14.49316115 -2.2415472 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3340 -36800 9525
+#> initial value 998.131940
+#> iter 2 value 820.926267
+#> iter 3 value 802.467129
+#> iter 4 value 799.917465
+#> iter 5 value 764.598033
+#> iter 6 value 758.042821
+#> iter 7 value 757.186058
+#> iter 8 value 757.160855
+#> iter 9 value 757.160753
+#> iter 9 value 757.160748
+#> iter 9 value 757.160745
+#> final value 757.160745
+#> converged
+#> This is Run number 399
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 0.83279221 1.106997 -3.4672078 -0.5930031 2
+#> 2 1 -1.35 -13.20 0.91866047 1.212756 -0.4313395 -11.9872444 1
+#> 3 1 -2.05 -14.20 0.43158686 -1.018879 -1.6184131 -15.2188793 1
+#> 4 1 -1.55 -3.10 -0.02309454 4.918777 -1.5730945 1.8187774 2
+#> 5 1 -1.90 -3.60 -0.52709839 3.173096 -2.4270984 -0.4269043 2
+#> 6 1 -13.70 -1.85 1.69581656 3.819838 -12.0041834 1.9698376 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3000 -36550 10425
+#> initial value 998.131940
+#> iter 2 value 817.135422
+#> iter 3 value 795.358301
+#> iter 4 value 793.071301
+#> iter 5 value 758.049672
+#> iter 6 value 752.069022
+#> iter 7 value 751.384737
+#> iter 8 value 751.361474
+#> iter 9 value 751.361401
+#> iter 10 value 751.361379
+#> iter 10 value 751.361371
+#> iter 10 value 751.361371
+#> final value 751.361371
+#> converged
+#> This is Run number 400
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 3 80 50 0 20 50 100 1
+#> 2 1 5 60 25 50 20 200 50 1
+#> 3 1 10 80 25 25 20 200 0 1
+#> 4 1 34 80 25 50 60 50 50 1
+#> 5 1 37 40 50 100 60 50 25 1
+#> 6 1 39 20 200 25 60 25 25 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -1.70 -0.7851164 0.3567035 -5.0851164 -1.343297 2
+#> 2 1 -1.35 -13.20 1.6493827 1.6266524 0.2993827 -11.573348 1
+#> 3 1 -2.05 -14.20 1.2573106 -0.4512297 -0.7926894 -14.651230 1
+#> 4 1 -1.55 -3.10 6.4384044 0.4736591 4.8884044 -2.626341 1
+#> 5 1 -1.90 -3.60 0.5671376 -0.1417393 -1.3328624 -3.741739 1
+#> 6 1 -13.70 -1.85 2.1371718 -1.2514683 -11.5628282 -3.101468 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3160 -36300 11050
+#> initial value 998.131940
+#> iter 2 value 815.673429
+#> iter 3 value 792.391816
+#> iter 4 value 791.323814
+#> iter 5 value 757.637547
+#> iter 6 value 752.043899
+#> iter 7 value 751.502306
+#> iter 8 value 751.483239
+#> iter 9 value 751.483169
+#> iter 10 value 751.483044
+#> iter 10 value 751.483044
+#> iter 11 value 751.483032
+#> iter 12 value 751.483019
+#> iter 12 value 751.483019
+#> iter 12 value 751.483019
+#> final value 751.483019
+#> converged
+#>
+#>
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ===
+#> \ vars n mean sd median min max range skew kurtosis se
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ===
+#> est_bpreis 1 400 -0.01 0.00 -0.01 -0.01 0.00 0.01 0.15 -0.19 0
+#> est_blade 2 400 -0.01 0.00 -0.01 -0.02 -0.01 0.00 -0.01 -0.22 0
+#> est_bwarte 3 400 0.01 0.00 0.01 0.00 0.01 0.01 0.06 -0.23 0
+#> rob_pval0_bpreis 4 400 0.00 0.01 0.00 0.00 0.13 0.13 7.20 59.94 0
+#> rob_pval0_blade 5 400 0.00 0.00 0.00 0.00 0.00 0.00 NaN NaN 0
+#> rob_pval0_bwarte 6 400 0.00 0.00 0.00 0.00 0.00 0.00 NaN NaN 0
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ===
+#>
+#> FALSE TRUE
+#> 1.75 98.25
+#> 'simple' is deprecated and will be removed in the future. Use 'exact' instead.
+#> bcoeff_lookup already exists; skipping modification.
+#> Utility function used in simulation, ie the true utility:
+#>
+#> $u1
+#> $u1$v1
+#> V.1 ~ bpreis * alt1.x1 + blade * alt1.x2 + bwarte * alt1.x3
+#> <environment: 0x5cc5f94640f8>
+#>
+#> $u1$v2
+#> V.2 ~ bpreis * alt2.x1 + blade * alt2.x2 + bwarte * alt2.x3
+#> <environment: 0x5cc60a0df5b0>
+#>
+#>
+#> $u2
+#> $u2$v1
+#> V.1 ~ bpreis * alt1.x1
+#> <environment: 0x5cc603c834c0>
+#>
+#> $u2$v2
+#> V.2 ~ bpreis * alt2.x1
+#> <environment: 0x5cc6045c21d8>
+#> 'destype' is deprecated. Please use 'designtype' instead.
+#> New names:
+#>
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.7059880 1.89525318 -3.5940120 -10.704747 1
+#> 2 1 -0.35 -14.40 -0.3851185 0.05753665 -0.7351185 -14.342463 1
+#> 3 1 -12.20 -2.55 -1.4435342 -0.63271598 -13.6435342 -3.182716 2
+#> 4 1 -2.30 -13.70 2.0661038 0.02056119 -0.2338962 -13.679439 1
+#> 5 1 -12.60 -7.80 0.5351904 0.48198354 -12.0648096 -7.318016 2
+#> 6 1 -7.60 -12.40 -0.1241744 0.58144088 -7.7241744 -11.818559 1
+#>
+#>
+#> Transformed utility function (type: simple ):
+#> [1] "U_1 = @bpreis * $alt1_x1 + @blade * $alt1_x2 + @bwarte * $alt1_x3 ;U_2 = @bpreis * $alt2_x1 + @blade * $alt2_x2 + @bwarte * $alt2_x3 ;"
+#> This is Run number 1
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.9193104 -0.2744702 -3.380690 -12.874470 1
+#> 2 1 -0.35 -14.40 -0.5474400 0.3399819 -0.897440 -14.060018 1
+#> 3 1 -12.20 -2.55 -1.3134361 -0.4939840 -13.513436 -3.043984 2
+#> 4 1 -2.30 -13.70 0.1781223 0.1963674 -2.121878 -13.503633 1
+#> 5 1 -12.60 -7.80 0.8697516 1.7431924 -11.730248 -6.056808 2
+#> 6 1 -7.60 -12.40 0.3825124 0.2436270 -7.217488 -12.156373 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4580 -75700 15525
+#> initial value 998.131940
+#> iter 2 value 640.172849
+#> iter 3 value 640.049988
+#> iter 4 value 639.986869
+#> iter 5 value 615.096583
+#> iter 6 value 611.625281
+#> iter 7 value 611.500316
+#> iter 8 value 611.498883
+#> iter 9 value 611.498871
+#> iter 9 value 611.498864
+#> iter 9 value 611.498864
+#> final value 611.498864
+#> converged
+#> This is Run number 2
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.05554268 0.3602343 -4.355543 -12.239766 1
+#> 2 1 -0.35 -14.40 3.69826972 1.9012154 3.348270 -12.498785 1
+#> 3 1 -12.20 -2.55 0.89757842 -1.1257758 -11.302422 -3.675776 2
+#> 4 1 -2.30 -13.70 0.47256631 0.7138095 -1.827434 -12.986191 1
+#> 5 1 -12.60 -7.80 0.53439641 0.1799763 -12.065604 -7.620024 2
+#> 6 1 -7.60 -12.40 0.25211904 1.1483597 -7.347881 -11.251640 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5960 -74050 13775
+#> initial value 998.131940
+#> iter 2 value 657.805051
+#> iter 3 value 657.333061
+#> iter 4 value 656.923798
+#> iter 5 value 634.872575
+#> iter 6 value 632.285859
+#> iter 7 value 632.222331
+#> iter 8 value 632.222090
+#> iter 8 value 632.222090
+#> final value 632.222090
+#> converged
+#> This is Run number 3
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.7228770 0.20586216 -3.57712299 -12.394138 1
+#> 2 1 -0.35 -14.40 0.3713074 -0.04235023 0.02130739 -14.442350 1
+#> 3 1 -12.20 -2.55 -0.4737728 1.12363912 -12.67377276 -1.426361 2
+#> 4 1 -2.30 -13.70 4.8570819 0.54079153 2.55708192 -13.159208 1
+#> 5 1 -12.60 -7.80 2.3798812 1.31340953 -10.22011884 -6.486590 2
+#> 6 1 -7.60 -12.40 -0.6281472 -0.30097492 -8.22814721 -12.700975 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -72475 15000
+#> initial value 998.131940
+#> iter 2 value 671.074872
+#> iter 3 value 670.910487
+#> iter 4 value 670.825637
+#> iter 5 value 650.057658
+#> iter 6 value 647.641058
+#> iter 7 value 647.576203
+#> iter 8 value 647.575700
+#> iter 8 value 647.575697
+#> final value 647.575697
+#> converged
+#> This is Run number 4
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.0982470 -0.66588292 -5.3982470 -13.265883 1
+#> 2 1 -0.35 -14.40 -0.3993748 3.60804600 -0.7493748 -10.791954 1
+#> 3 1 -12.20 -2.55 -0.3232124 -0.61525010 -12.5232124 -3.165250 2
+#> 4 1 -2.30 -13.70 0.6550289 1.72194663 -1.6449711 -11.978053 1
+#> 5 1 -12.60 -7.80 2.5009970 -0.56096743 -10.0990030 -8.360967 2
+#> 6 1 -7.60 -12.40 2.3267573 0.03634543 -5.2732427 -12.363655 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5020 -74400 14700
+#> initial value 998.131940
+#> iter 2 value 653.641209
+#> iter 3 value 653.634606
+#> iter 4 value 653.633488
+#> iter 5 value 630.557273
+#> iter 6 value 628.237952
+#> iter 7 value 628.172062
+#> iter 8 value 628.171674
+#> iter 8 value 628.171671
+#> final value 628.171671
+#> converged
+#> This is Run number 5
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.2321829 -0.290056706 -4.0678171 -12.890057 1
+#> 2 1 -0.35 -14.40 4.9728788 -1.036634361 4.6228788 -15.436634 1
+#> 3 1 -12.20 -2.55 -0.1439534 0.818484581 -12.3439534 -1.731515 2
+#> 4 1 -2.30 -13.70 1.3210914 -0.383154007 -0.9789086 -14.083154 1
+#> 5 1 -12.60 -7.80 2.4607879 0.009601869 -10.1392121 -7.790398 2
+#> 6 1 -7.60 -12.40 5.6485271 1.768373404 -1.9514729 -10.631627 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4960 -72475 13875
+#> initial value 998.131940
+#> iter 2 value 672.695641
+#> iter 3 value 672.628951
+#> iter 4 value 672.627793
+#> iter 5 value 652.229246
+#> iter 6 value 650.384838
+#> iter 7 value 650.342852
+#> iter 8 value 650.342682
+#> iter 8 value 650.342681
+#> final value 650.342681
+#> converged
+#> This is Run number 6
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 3.4083739 -1.1193423 -0.8916261 -13.719342 1
+#> 2 1 -0.35 -14.40 1.8575247 -0.7885583 1.5075247 -15.188558 1
+#> 3 1 -12.20 -2.55 1.0660093 -0.5798027 -11.1339907 -3.129803 2
+#> 4 1 -2.30 -13.70 0.2698273 0.3022642 -2.0301727 -13.397736 1
+#> 5 1 -12.60 -7.80 -0.2641107 0.7768931 -12.8641107 -7.023107 2
+#> 6 1 -7.60 -12.40 2.7589991 0.7141656 -4.8410009 -11.685834 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4500 -69850 13325
+#> initial value 998.131940
+#> iter 2 value 696.988010
+#> iter 3 value 696.881945
+#> iter 4 value 696.808281
+#> iter 5 value 679.616301
+#> iter 6 value 677.987830
+#> iter 7 value 677.958816
+#> iter 8 value 677.958712
+#> iter 8 value 677.958711
+#> final value 677.958711
+#> converged
+#> This is Run number 7
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.7485822 -1.0283519 -5.0485822 -13.628352 1
+#> 2 1 -0.35 -14.40 -0.6111353 -0.6827324 -0.9611353 -15.082732 1
+#> 3 1 -12.20 -2.55 2.8518924 -1.5672787 -9.3481076 -4.117279 2
+#> 4 1 -2.30 -13.70 1.1025005 0.1710741 -1.1974995 -13.528926 1
+#> 5 1 -12.60 -7.80 2.3271123 -0.8231013 -10.2728877 -8.623101 2
+#> 6 1 -7.60 -12.40 -0.3313798 0.2901016 -7.9313798 -12.109898 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5380 -71400 12425
+#> initial value 998.131940
+#> iter 2 value 684.258526
+#> iter 3 value 683.658299
+#> iter 4 value 683.611663
+#> iter 5 value 665.013881
+#> iter 6 value 663.165016
+#> iter 7 value 663.130273
+#> iter 8 value 663.130184
+#> iter 8 value 663.130184
+#> final value 663.130184
+#> converged
+#> This is Run number 8
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.7524202 2.9770078 -1.5475798 -9.6229922 1
+#> 2 1 -0.35 -14.40 -0.2423397 -0.4403906 -0.5923397 -14.8403906 1
+#> 3 1 -12.20 -2.55 1.4207605 1.9175808 -10.7792395 -0.6324192 2
+#> 4 1 -2.30 -13.70 -0.4718021 -0.1271697 -2.7718021 -13.8271697 1
+#> 5 1 -12.60 -7.80 -0.5129995 4.1491038 -13.1129995 -3.6508962 2
+#> 6 1 -7.60 -12.40 0.5635570 1.3518293 -7.0364430 -11.0481707 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4640 -71850 14075
+#> initial value 998.131940
+#> iter 2 value 678.137100
+#> iter 3 value 678.096564
+#> iter 4 value 678.065865
+#> iter 5 value 658.586447
+#> iter 6 value 656.495016
+#> iter 7 value 656.449003
+#> iter 8 value 656.448775
+#> iter 8 value 656.448773
+#> final value 656.448773
+#> converged
+#> This is Run number 9
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.4295719 0.8039655 -5.7295719 -11.7960345 1
+#> 2 1 -0.35 -14.40 0.6391664 2.1755329 0.2891664 -12.2244671 1
+#> 3 1 -12.20 -2.55 1.5134205 1.9885634 -10.6865795 -0.5614366 2
+#> 4 1 -2.30 -13.70 -1.1240888 1.2145729 -3.4240888 -12.4854271 1
+#> 5 1 -12.60 -7.80 -0.1838256 2.2999210 -12.7838256 -5.5000790 2
+#> 6 1 -7.60 -12.40 -0.3770556 0.7023616 -7.9770556 -11.6976384 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5240 -70350 15925
+#> initial value 998.131940
+#> iter 2 value 687.431821
+#> iter 3 value 686.768938
+#> iter 4 value 686.252659
+#> iter 5 value 667.569933
+#> iter 6 value 665.638303
+#> iter 7 value 665.598101
+#> iter 8 value 665.597952
+#> iter 8 value 665.597951
+#> final value 665.597951
+#> converged
+#> This is Run number 10
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.8398136 1.2790753 -5.1398136 -11.320925 1
+#> 2 1 -0.35 -14.40 1.0552166 1.7240189 0.7052166 -12.675981 1
+#> 3 1 -12.20 -2.55 0.1282802 0.3570956 -12.0717198 -2.192904 2
+#> 4 1 -2.30 -13.70 3.1963200 0.3399888 0.8963200 -13.360011 1
+#> 5 1 -12.60 -7.80 -0.9934452 2.0442510 -13.5934452 -5.755749 2
+#> 6 1 -7.60 -12.40 -0.4511060 0.5460933 -8.0511060 -11.853907 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4580 -73900 15075
+#> initial value 998.131940
+#> iter 2 value 657.816408
+#> iter 3 value 657.748097
+#> iter 4 value 657.729829
+#> iter 5 value 635.421175
+#> iter 6 value 632.647976
+#> iter 7 value 632.566907
+#> iter 8 value 632.566244
+#> iter 8 value 632.566240
+#> final value 632.566240
+#> converged
+#> This is Run number 11
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.4289934 -0.7187056 -3.8710066 -13.3187056 1
+#> 2 1 -0.35 -14.40 1.1067301 -0.1382295 0.7567301 -14.5382295 1
+#> 3 1 -12.20 -2.55 4.6433545 1.9764282 -7.5566455 -0.5735718 2
+#> 4 1 -2.30 -13.70 -0.4971627 -0.3503827 -2.7971627 -14.0503827 1
+#> 5 1 -12.60 -7.80 0.5052678 -0.6215517 -12.0947322 -8.4215517 2
+#> 6 1 -7.60 -12.40 -0.1631554 0.9032637 -7.7631554 -11.4967363 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5120 -72750 14800
+#> initial value 998.131940
+#> iter 2 value 668.483543
+#> iter 3 value 668.451284
+#> iter 4 value 668.427295
+#> iter 5 value 647.771857
+#> iter 6 value 645.443260
+#> iter 7 value 645.388411
+#> iter 8 value 645.388149
+#> iter 8 value 645.388147
+#> final value 645.388147
+#> converged
+#> This is Run number 12
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.09975262 -0.73262882 -4.399753 -13.332629 1
+#> 2 1 -0.35 -14.40 -1.31839137 -0.89757215 -1.668391 -15.297572 1
+#> 3 1 -12.20 -2.55 -0.62493813 1.05367991 -12.824938 -1.496320 2
+#> 4 1 -2.30 -13.70 1.00227885 0.79835478 -1.297721 -12.901645 1
+#> 5 1 -12.60 -7.80 -0.02617004 1.87441859 -12.626170 -5.925581 2
+#> 6 1 -7.60 -12.40 0.56309378 0.09669358 -7.036906 -12.303306 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4400 -70550 15550
+#> initial value 998.131940
+#> iter 2 value 686.967163
+#> iter 3 value 686.683904
+#> iter 4 value 686.675879
+#> iter 5 value 667.997262
+#> iter 6 value 666.071877
+#> iter 7 value 666.030008
+#> iter 8 value 666.029794
+#> iter 8 value 666.029793
+#> final value 666.029793
+#> converged
+#> This is Run number 13
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.2294679 2.5470979 -4.0705321 -10.052902 1
+#> 2 1 -0.35 -14.40 0.1240267 -0.7046942 -0.2259733 -15.104694 1
+#> 3 1 -12.20 -2.55 0.4009340 1.4261849 -11.7990660 -1.123815 2
+#> 4 1 -2.30 -13.70 1.2694437 2.9539571 -1.0305563 -10.746043 1
+#> 5 1 -12.60 -7.80 1.7876890 -0.1398500 -10.8123110 -7.939850 2
+#> 6 1 -7.60 -12.40 1.5770850 1.5894832 -6.0229150 -10.810517 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -73500 15775
+#> initial value 998.131940
+#> iter 2 value 660.216043
+#> iter 3 value 659.968696
+#> iter 4 value 659.842737
+#> iter 5 value 637.736769
+#> iter 6 value 634.950378
+#> iter 7 value 634.867119
+#> iter 8 value 634.866377
+#> iter 8 value 634.866372
+#> final value 634.866372
+#> converged
+#> This is Run number 14
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 3.0599843 1.9102539 -1.2400157 -10.689746 1
+#> 2 1 -0.35 -14.40 0.7952674 -0.8052189 0.4452674 -15.205219 1
+#> 3 1 -12.20 -2.55 -0.4112932 -0.1135727 -12.6112932 -2.663573 2
+#> 4 1 -2.30 -13.70 1.0645121 -0.2366272 -1.2354879 -13.936627 1
+#> 5 1 -12.60 -7.80 1.9915866 1.4085760 -10.6084134 -6.391424 2
+#> 6 1 -7.60 -12.40 -0.8045080 -1.0278836 -8.4045080 -13.427884 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5040 -73250 14550
+#> initial value 998.131940
+#> iter 2 value 664.459724
+#> iter 3 value 664.453417
+#> iter 4 value 664.448505
+#> iter 5 value 643.244910
+#> iter 6 value 640.877661
+#> iter 7 value 640.819025
+#> iter 8 value 640.818724
+#> iter 8 value 640.818722
+#> final value 640.818722
+#> converged
+#> This is Run number 15
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.4117970 1.0367817 -4.7117970 -11.563218 1
+#> 2 1 -0.35 -14.40 0.1822419 -1.1958615 -0.1677581 -15.595861 1
+#> 3 1 -12.20 -2.55 0.2857328 0.1514573 -11.9142672 -2.398543 2
+#> 4 1 -2.30 -13.70 -1.2252305 4.9886572 -3.5252305 -8.711343 1
+#> 5 1 -12.60 -7.80 -1.5128472 -0.1949998 -14.1128472 -7.995000 2
+#> 6 1 -7.60 -12.40 0.4712054 1.6443585 -7.1287946 -10.755641 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -71400 13650
+#> initial value 998.131940
+#> iter 2 value 682.753840
+#> iter 3 value 682.680802
+#> iter 4 value 682.668649
+#> iter 5 value 663.830449
+#> iter 6 value 661.913851
+#> iter 7 value 661.874726
+#> iter 8 value 661.874570
+#> iter 8 value 661.874569
+#> final value 661.874569
+#> converged
+#> This is Run number 16
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 3.6628998 0.1323652 -0.6371002 -12.4676348 1
+#> 2 1 -0.35 -14.40 1.2192824 1.4258443 0.8692824 -12.9741557 1
+#> 3 1 -12.20 -2.55 7.6161671 1.8520873 -4.5838329 -0.6979127 2
+#> 4 1 -2.30 -13.70 0.7249565 1.3030729 -1.5750435 -12.3969271 1
+#> 5 1 -12.60 -7.80 0.5146706 -0.1223649 -12.0853294 -7.9223649 2
+#> 6 1 -7.60 -12.40 0.6091346 1.1500608 -6.9908654 -11.2499392 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -72625 13200
+#> initial value 998.131940
+#> iter 2 value 672.533067
+#> iter 3 value 672.229587
+#> iter 4 value 672.142743
+#> iter 5 value 652.017004
+#> iter 6 value 649.797748
+#> iter 7 value 649.747022
+#> iter 8 value 649.746780
+#> iter 8 value 649.746779
+#> final value 649.746779
+#> converged
+#> This is Run number 17
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.3650858 -0.1400813 -5.665086 -12.7400813 1
+#> 2 1 -0.35 -14.40 1.4243317 -1.0421106 1.074332 -15.4421106 1
+#> 3 1 -12.20 -2.55 -0.1014611 1.7597149 -12.301461 -0.7902851 2
+#> 4 1 -2.30 -13.70 0.3585941 -0.3288604 -1.941406 -14.0288604 1
+#> 5 1 -12.60 -7.80 1.0722720 1.1535716 -11.527728 -6.6464284 2
+#> 6 1 -7.60 -12.40 0.2376137 -0.8773833 -7.362386 -13.2773833 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5200 -70250 14975
+#> initial value 998.131940
+#> iter 2 value 690.214747
+#> iter 3 value 689.975002
+#> iter 4 value 689.812072
+#> iter 5 value 671.597865
+#> iter 6 value 669.807969
+#> iter 7 value 669.772959
+#> iter 8 value 669.772846
+#> iter 8 value 669.772846
+#> final value 669.772846
+#> converged
+#> This is Run number 18
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.19579597 -0.10295234 -3.104204032 -12.702952 1
+#> 2 1 -0.35 -14.40 0.35828614 0.01944969 0.008286141 -14.380550 1
+#> 3 1 -12.20 -2.55 0.01361797 0.29537234 -12.186382032 -2.254628 2
+#> 4 1 -2.30 -13.70 -0.10496944 -0.10803920 -2.404969436 -13.808039 1
+#> 5 1 -12.60 -7.80 2.38587663 -0.22559597 -10.214123365 -8.025596 2
+#> 6 1 -7.60 -12.40 -0.47868891 0.39028117 -8.078688914 -12.009719 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5800 -73425 13300
+#> initial value 998.131940
+#> iter 2 value 664.431666
+#> iter 3 value 663.925120
+#> iter 4 value 663.642017
+#> iter 5 value 642.570273
+#> iter 6 value 640.191969
+#> iter 7 value 640.137584
+#> iter 8 value 640.137400
+#> iter 8 value 640.137400
+#> final value 640.137400
+#> converged
+#> This is Run number 19
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.30216169 -1.43318278 -4.6021617 -14.0331828 1
+#> 2 1 -0.35 -14.40 0.17285637 0.05161694 -0.1771436 -14.3483831 1
+#> 3 1 -12.20 -2.55 -0.68470962 1.89310333 -12.8847096 -0.6568967 2
+#> 4 1 -2.30 -13.70 -0.07495668 0.12787366 -2.3749567 -13.5721263 1
+#> 5 1 -12.60 -7.80 -0.54425565 -0.74705443 -13.1442556 -8.5470544 2
+#> 6 1 -7.60 -12.40 1.27771078 -0.10004515 -6.3222892 -12.5000452 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4900 -70975 13825
+#> initial value 998.131940
+#> iter 2 value 686.146574
+#> iter 3 value 686.115588
+#> iter 4 value 686.113278
+#> iter 5 value 667.586700
+#> iter 6 value 665.878470
+#> iter 7 value 665.845123
+#> iter 8 value 665.845010
+#> iter 8 value 665.845009
+#> final value 665.845009
+#> converged
+#> This is Run number 20
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.5057454 4.0276660 -2.7942546 -8.572334 1
+#> 2 1 -0.35 -14.40 -1.2301331 -0.5855654 -1.5801331 -14.985565 1
+#> 3 1 -12.20 -2.55 2.6845947 1.4782747 -9.5154053 -1.071725 2
+#> 4 1 -2.30 -13.70 1.6190676 2.0385823 -0.6809324 -11.661418 1
+#> 5 1 -12.60 -7.80 0.2114763 0.3780838 -12.3885237 -7.421916 2
+#> 6 1 -7.60 -12.40 -0.7991912 -1.5024815 -8.3991912 -13.902482 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5200 -73025 15800
+#> initial value 998.131940
+#> iter 2 value 664.004004
+#> iter 3 value 663.740853
+#> iter 4 value 663.556405
+#> iter 5 value 642.162915
+#> iter 6 value 639.629061
+#> iter 7 value 639.563850
+#> iter 8 value 639.563501
+#> iter 8 value 639.563499
+#> final value 639.563499
+#> converged
+#> This is Run number 21
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.9992289 0.6952202 -5.299229 -11.904780 1
+#> 2 1 -0.35 -14.40 -0.6715010 -0.1457243 -1.021501 -14.545724 1
+#> 3 1 -12.20 -2.55 -0.5240440 0.7998783 -12.724044 -1.750122 2
+#> 4 1 -2.30 -13.70 0.3232300 1.0099074 -1.976770 -12.690093 1
+#> 5 1 -12.60 -7.80 -0.5822402 -1.6134855 -13.182240 -9.413485 2
+#> 6 1 -7.60 -12.40 1.1671804 1.6989290 -6.432820 -10.701071 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -72350 15775
+#> initial value 998.131940
+#> iter 2 value 670.503125
+#> iter 3 value 670.266167
+#> iter 4 value 670.264037
+#> iter 5 value 649.400981
+#> iter 6 value 647.201406
+#> iter 7 value 647.144788
+#> iter 8 value 647.144442
+#> iter 8 value 647.144440
+#> final value 647.144440
+#> converged
+#> This is Run number 22
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.0948781 -0.2312166 -5.394878 -12.831217 1
+#> 2 1 -0.35 -14.40 -0.7789312 0.5678984 -1.128931 -13.832102 1
+#> 3 1 -12.20 -2.55 2.0148925 0.7968320 -10.185107 -1.753168 2
+#> 4 1 -2.30 -13.70 -1.0312677 3.7836420 -3.331268 -9.916358 1
+#> 5 1 -12.60 -7.80 -0.1976326 -1.0647231 -12.797633 -8.864723 2
+#> 6 1 -7.60 -12.40 0.9005747 -0.8090584 -6.699425 -13.209058 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4020 -71100 15675
+#> initial value 998.131940
+#> iter 2 value 682.087702
+#> iter 3 value 681.657439
+#> iter 4 value 681.443292
+#> iter 5 value 662.002212
+#> iter 6 value 659.819600
+#> iter 7 value 659.765231
+#> iter 8 value 659.764837
+#> iter 8 value 659.764835
+#> final value 659.764835
+#> converged
+#> This is Run number 23
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.5156695 -0.76084928 -2.7843305 -13.360849 1
+#> 2 1 -0.35 -14.40 2.6716224 0.81985090 2.3216224 -13.580149 1
+#> 3 1 -12.20 -2.55 -0.7183199 -0.06611882 -12.9183199 -2.616119 2
+#> 4 1 -2.30 -13.70 1.6148333 -0.26844904 -0.6851667 -13.968449 1
+#> 5 1 -12.60 -7.80 -0.8112570 0.68614428 -13.4112570 -7.113856 2
+#> 6 1 -7.60 -12.40 0.7086253 -1.28793791 -6.8913747 -13.687938 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -73375 13550
+#> initial value 998.131940
+#> iter 2 value 665.172946
+#> iter 3 value 664.940679
+#> iter 4 value 664.844239
+#> iter 5 value 643.762841
+#> iter 6 value 641.319094
+#> iter 7 value 641.258189
+#> iter 8 value 641.257846
+#> iter 8 value 641.257844
+#> final value 641.257844
+#> converged
+#> This is Run number 24
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.26938799 -0.4237315 -2.030612 -13.023732 1
+#> 2 1 -0.35 -14.40 -0.17217104 -1.0201653 -0.522171 -15.420165 1
+#> 3 1 -12.20 -2.55 -0.34061799 1.5216206 -12.540618 -1.028379 2
+#> 4 1 -2.30 -13.70 -0.09067659 1.0272951 -2.390677 -12.672705 1
+#> 5 1 -12.60 -7.80 -0.37951390 1.2350744 -12.979514 -6.564926 2
+#> 6 1 -7.60 -12.40 4.00534982 1.7600741 -3.594650 -10.639926 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5220 -69575 14150
+#> initial value 998.131940
+#> iter 2 value 697.528009
+#> iter 3 value 697.127420
+#> iter 4 value 697.123321
+#> iter 5 value 680.026367
+#> iter 6 value 678.446714
+#> iter 7 value 678.420082
+#> iter 8 value 678.420016
+#> iter 8 value 678.420016
+#> final value 678.420016
+#> converged
+#> This is Run number 25
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.01806578 -1.234873537 -4.281934 -13.834874 1
+#> 2 1 -0.35 -14.40 4.17930226 -0.630747058 3.829302 -15.030747 1
+#> 3 1 -12.20 -2.55 1.91346215 -0.005308368 -10.286538 -2.555308 2
+#> 4 1 -2.30 -13.70 -1.27694655 -0.877013116 -3.576947 -14.577013 1
+#> 5 1 -12.60 -7.80 -0.31410290 0.474187073 -12.914103 -7.325813 2
+#> 6 1 -7.60 -12.40 0.05080539 -0.422265938 -7.549195 -12.822266 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -74500 15375
+#> initial value 998.131940
+#> iter 2 value 651.601264
+#> iter 3 value 651.551168
+#> iter 4 value 651.522387
+#> iter 5 value 628.483047
+#> iter 6 value 625.530776
+#> iter 7 value 625.441325
+#> iter 8 value 625.440588
+#> iter 8 value 625.440583
+#> final value 625.440583
+#> converged
+#> This is Run number 26
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.26690882 1.49259340 -4.566908816 -11.107407 1
+#> 2 1 -0.35 -14.40 0.35160079 3.23083885 0.001600788 -11.169161 1
+#> 3 1 -12.20 -2.55 1.38149956 -0.01289101 -10.818500437 -2.562891 2
+#> 4 1 -2.30 -13.70 -0.03692617 1.26380435 -2.336926174 -12.436196 1
+#> 5 1 -12.60 -7.80 -1.39707851 0.34309113 -13.997078513 -7.456909 2
+#> 6 1 -7.60 -12.40 2.98523917 -0.97068829 -4.614760832 -13.370688 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5200 -75175 13450
+#> initial value 998.131940
+#> iter 2 value 648.423641
+#> iter 3 value 648.033239
+#> iter 4 value 648.013826
+#> iter 5 value 624.740868
+#> iter 6 value 621.825889
+#> iter 7 value 621.742801
+#> iter 8 value 621.742302
+#> iter 8 value 621.742299
+#> final value 621.742299
+#> converged
+#> This is Run number 27
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.3471397 1.70894768 -3.9528603 -10.891052 1
+#> 2 1 -0.35 -14.40 -0.5608906 0.54205132 -0.9108906 -13.857949 1
+#> 3 1 -12.20 -2.55 -0.5985341 -0.86361320 -12.7985341 -3.413613 2
+#> 4 1 -2.30 -13.70 0.0603011 0.50308605 -2.2396989 -13.196914 1
+#> 5 1 -12.60 -7.80 -1.0304791 -0.02385136 -13.6304791 -7.823851 2
+#> 6 1 -7.60 -12.40 0.9115701 -0.44636904 -6.6884299 -12.846369 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4920 -73475 14675
+#> initial value 998.131940
+#> iter 2 value 662.256993
+#> iter 3 value 662.255870
+#> iter 4 value 662.254879
+#> iter 5 value 640.476893
+#> iter 6 value 638.258820
+#> iter 7 value 638.201059
+#> iter 8 value 638.200743
+#> iter 8 value 638.200740
+#> final value 638.200740
+#> converged
+#> This is Run number 28
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 4.0992171 -0.43778397 -0.2007829 -13.037784 1
+#> 2 1 -0.35 -14.40 -0.2753681 -0.11019764 -0.6253681 -14.510198 1
+#> 3 1 -12.20 -2.55 2.3531010 -1.22928841 -9.8468990 -3.779288 2
+#> 4 1 -2.30 -13.70 -0.8868808 0.66318193 -3.1868808 -13.036818 1
+#> 5 1 -12.60 -7.80 -1.2567054 0.57193421 -13.8567054 -7.228066 2
+#> 6 1 -7.60 -12.40 2.9528358 -0.03420792 -4.6471642 -12.434208 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5280 -77625 16350
+#> initial value 998.131940
+#> iter 2 value 619.626378
+#> iter 3 value 619.511899
+#> iter 4 value 619.486732
+#> iter 5 value 591.821170
+#> iter 6 value 587.608011
+#> iter 7 value 587.438668
+#> iter 8 value 587.436730
+#> iter 9 value 587.436714
+#> iter 9 value 587.436710
+#> iter 9 value 587.436709
+#> final value 587.436709
+#> converged
+#> This is Run number 29
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2163777 1.6514653 -4.5163777 -10.948535 1
+#> 2 1 -0.35 -14.40 0.1611594 0.7815301 -0.1888406 -13.618470 1
+#> 3 1 -12.20 -2.55 0.5042880 0.2227413 -11.6957120 -2.327259 2
+#> 4 1 -2.30 -13.70 1.9292716 -1.5163572 -0.3707284 -15.216357 1
+#> 5 1 -12.60 -7.80 1.7341392 -0.4185978 -10.8658608 -8.218598 2
+#> 6 1 -7.60 -12.40 0.6926779 0.5949528 -6.9073221 -11.805047 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -73275 15050
+#> initial value 998.131940
+#> iter 2 value 663.456233
+#> iter 3 value 663.433599
+#> iter 4 value 663.428854
+#> iter 5 value 641.962332
+#> iter 6 value 639.517667
+#> iter 7 value 639.453484
+#> iter 8 value 639.453085
+#> iter 8 value 639.453082
+#> final value 639.453082
+#> converged
+#> This is Run number 30
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.0559991 -0.56522529 -3.2440009 -13.165225 1
+#> 2 1 -0.35 -14.40 -0.1660974 -0.14743160 -0.5160974 -14.547432 1
+#> 3 1 -12.20 -2.55 1.0301346 -0.61288513 -11.1698654 -3.162885 2
+#> 4 1 -2.30 -13.70 -0.4879584 -0.06506244 -2.7879584 -13.765062 1
+#> 5 1 -12.60 -7.80 -1.5163743 0.72016879 -14.1163743 -7.079831 2
+#> 6 1 -7.60 -12.40 2.9578226 4.38701521 -4.6421774 -8.012985 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4200 -72425 15025
+#> initial value 998.131940
+#> iter 2 value 671.505476
+#> iter 3 value 671.310447
+#> iter 4 value 671.216207
+#> iter 5 value 650.427567
+#> iter 6 value 648.007397
+#> iter 7 value 647.941724
+#> iter 8 value 647.941200
+#> iter 8 value 647.941197
+#> final value 647.941197
+#> converged
+#> This is Run number 31
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.2831872 0.2699589 -3.0168128 -12.330041 1
+#> 2 1 -0.35 -14.40 -0.5160231 0.1316440 -0.8660231 -14.268356 1
+#> 3 1 -12.20 -2.55 0.3643910 0.1904049 -11.8356090 -2.359595 2
+#> 4 1 -2.30 -13.70 2.1578455 -0.5773831 -0.1421545 -14.277383 1
+#> 5 1 -12.60 -7.80 1.0714669 -0.9323047 -11.5285331 -8.732305 2
+#> 6 1 -7.60 -12.40 -0.4672801 0.7514636 -8.0672801 -11.648536 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -71125 14225
+#> initial value 998.131940
+#> iter 2 value 684.433232
+#> iter 3 value 684.225228
+#> iter 4 value 684.224994
+#> iter 5 value 665.157527
+#> iter 6 value 663.466995
+#> iter 7 value 663.429935
+#> iter 8 value 663.429753
+#> iter 8 value 663.429751
+#> final value 663.429751
+#> converged
+#> This is Run number 32
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.9123573 -0.5095972 -5.2123573 -13.109597 1
+#> 2 1 -0.35 -14.40 0.4528003 2.5019504 0.1028003 -11.898050 1
+#> 3 1 -12.20 -2.55 -0.2428971 0.5511229 -12.4428971 -1.998877 2
+#> 4 1 -2.30 -13.70 -1.8560739 0.1264995 -4.1560739 -13.573501 1
+#> 5 1 -12.60 -7.80 0.6634495 2.5468569 -11.9365505 -5.253143 2
+#> 6 1 -7.60 -12.40 1.9387815 -0.3583180 -5.6612185 -12.758318 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4920 -71725 14250
+#> initial value 998.131940
+#> iter 2 value 678.779961
+#> iter 3 value 678.773838
+#> iter 4 value 678.770119
+#> iter 5 value 659.370919
+#> iter 6 value 657.417616
+#> iter 7 value 657.375967
+#> iter 8 value 657.375797
+#> iter 8 value 657.375796
+#> final value 657.375796
+#> converged
+#> This is Run number 33
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.45762560 0.5683258 -3.8423744 -12.031674 1
+#> 2 1 -0.35 -14.40 -0.49563518 -1.6690809 -0.8456352 -16.069081 1
+#> 3 1 -12.20 -2.55 -0.28739986 1.4181748 -12.4873999 -1.131825 2
+#> 4 1 -2.30 -13.70 0.04649887 1.1879504 -2.2535011 -12.512050 1
+#> 5 1 -12.60 -7.80 -0.76801833 -0.1410116 -13.3680183 -7.941012 2
+#> 6 1 -7.60 -12.40 -0.22969427 -0.8844691 -7.8296943 -13.284469 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4400 -71650 15600
+#> initial value 998.131940
+#> iter 2 value 677.202474
+#> iter 3 value 676.955898
+#> iter 4 value 676.920643
+#> iter 5 value 657.067798
+#> iter 6 value 654.842491
+#> iter 7 value 654.788293
+#> iter 8 value 654.787952
+#> iter 8 value 654.787950
+#> final value 654.787950
+#> converged
+#> This is Run number 34
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.99834159 0.3371204 -3.3016584 -12.262880 1
+#> 2 1 -0.35 -14.40 -0.22370613 -0.5692984 -0.5737061 -14.969298 1
+#> 3 1 -12.20 -2.55 1.21083651 -0.2881133 -10.9891635 -2.838113 2
+#> 4 1 -2.30 -13.70 3.04659568 1.3545334 0.7465957 -12.345467 1
+#> 5 1 -12.60 -7.80 0.08644764 -1.0738525 -12.5135524 -8.873852 2
+#> 6 1 -7.60 -12.40 -0.03290724 2.2836365 -7.6329072 -10.116363 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -69850 14250
+#> initial value 998.131940
+#> iter 2 value 695.234087
+#> iter 3 value 695.216163
+#> iter 4 value 695.202950
+#> iter 5 value 677.820134
+#> iter 6 value 676.169913
+#> iter 7 value 676.140548
+#> iter 8 value 676.140457
+#> iter 8 value 676.140456
+#> final value 676.140456
+#> converged
+#> This is Run number 35
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.29873229 0.4333447 -3.0012677 -12.166655 1
+#> 2 1 -0.35 -14.40 0.58713568 2.4276764 0.2371357 -11.972324 1
+#> 3 1 -12.20 -2.55 0.26436933 -0.7934203 -11.9356307 -3.343420 2
+#> 4 1 -2.30 -13.70 0.65235117 -0.4364213 -1.6476488 -14.136421 1
+#> 5 1 -12.60 -7.80 1.79511444 0.9387943 -10.8048856 -6.861206 2
+#> 6 1 -7.60 -12.40 0.07574261 0.5559699 -7.5242574 -11.844030 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -70875 14325
+#> initial value 998.131940
+#> iter 2 value 686.421123
+#> iter 3 value 686.344351
+#> iter 4 value 686.316087
+#> iter 5 value 667.784027
+#> iter 6 value 665.873109
+#> iter 7 value 665.833413
+#> iter 8 value 665.833216
+#> iter 8 value 665.833215
+#> final value 665.833215
+#> converged
+#> This is Run number 36
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1020781 -0.1194992 -4.19792191 -12.719499 1
+#> 2 1 -0.35 -14.40 0.3300795 3.5456426 -0.01992053 -10.854357 1
+#> 3 1 -12.20 -2.55 0.1430231 0.2658064 -12.05697689 -2.284194 2
+#> 4 1 -2.30 -13.70 0.4427922 -0.2618696 -1.85720779 -13.961870 1
+#> 5 1 -12.60 -7.80 1.8007270 0.4680276 -10.79927303 -7.331972 2
+#> 6 1 -7.60 -12.40 1.6481143 0.8513325 -5.95188566 -11.548667 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -72600 13875
+#> initial value 998.131940
+#> iter 2 value 671.582633
+#> iter 3 value 671.510956
+#> iter 4 value 671.506946
+#> iter 5 value 651.221032
+#> iter 6 value 649.087834
+#> iter 7 value 649.038965
+#> iter 8 value 649.038744
+#> iter 8 value 649.038742
+#> final value 649.038742
+#> converged
+#> This is Run number 37
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.35257563 0.7233672 -1.9474244 -11.8766328 1
+#> 2 1 -0.35 -14.40 -0.37197321 0.1344885 -0.7219732 -14.2655115 1
+#> 3 1 -12.20 -2.55 0.64030029 1.6434133 -11.5596997 -0.9065867 2
+#> 4 1 -2.30 -13.70 0.03417973 0.9079870 -2.2658203 -12.7920130 1
+#> 5 1 -12.60 -7.80 -0.41344794 -0.2750187 -13.0134479 -8.0750187 2
+#> 6 1 -7.60 -12.40 2.23561829 0.4953253 -5.3643817 -11.9046747 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -72125 13475
+#> initial value 998.131940
+#> iter 2 value 676.849644
+#> iter 3 value 676.530975
+#> iter 4 value 676.281642
+#> iter 5 value 656.337204
+#> iter 6 value 654.153325
+#> iter 7 value 654.102380
+#> iter 8 value 654.102067
+#> iter 8 value 654.102065
+#> final value 654.102065
+#> converged
+#> This is Run number 38
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.46834797 1.2459834 -3.8316520 -11.354017 1
+#> 2 1 -0.35 -14.40 -0.50948329 1.6242082 -0.8594833 -12.775792 1
+#> 3 1 -12.20 -2.55 -0.80171746 -0.2966299 -13.0017175 -2.846630 2
+#> 4 1 -2.30 -13.70 -1.03458194 1.6721107 -3.3345819 -12.027889 1
+#> 5 1 -12.60 -7.80 1.87808227 -1.1317741 -10.7219177 -8.931774 2
+#> 6 1 -7.60 -12.40 0.01683582 -0.3813714 -7.5831642 -12.781371 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -71050 15350
+#> initial value 998.131940
+#> iter 2 value 682.827296
+#> iter 3 value 682.660266
+#> iter 4 value 682.649593
+#> iter 5 value 663.606226
+#> iter 6 value 661.616664
+#> iter 7 value 661.573608
+#> iter 8 value 661.573409
+#> iter 8 value 661.573408
+#> final value 661.573408
+#> converged
+#> This is Run number 39
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.9217939 -0.3454955 -3.378206 -12.945495 1
+#> 2 1 -0.35 -14.40 2.1223582 -0.1858888 1.772358 -14.585889 1
+#> 3 1 -12.20 -2.55 -0.2379937 -0.2385891 -12.437994 -2.788589 2
+#> 4 1 -2.30 -13.70 -0.0643311 -0.1876371 -2.364331 -13.887637 1
+#> 5 1 -12.60 -7.80 0.8882532 -0.3728214 -11.711747 -8.172821 2
+#> 6 1 -7.60 -12.40 1.5584833 2.6476753 -6.041517 -9.752325 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4480 -72375 13875
+#> initial value 998.131940
+#> iter 2 value 673.869024
+#> iter 3 value 673.718277
+#> iter 4 value 673.619526
+#> iter 5 value 653.437327
+#> iter 6 value 651.195581
+#> iter 7 value 651.142772
+#> iter 8 value 651.142458
+#> iter 8 value 651.142456
+#> final value 651.142456
+#> converged
+#> This is Run number 40
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.4559201 -0.5314222 -5.755920 -13.131422 1
+#> 2 1 -0.35 -14.40 2.3581228 -0.6777979 2.008123 -15.077798 1
+#> 3 1 -12.20 -2.55 -0.8550778 -0.9196064 -13.055078 -3.469606 2
+#> 4 1 -2.30 -13.70 -1.2034462 0.8256517 -3.503446 -12.874348 1
+#> 5 1 -12.60 -7.80 3.3274605 1.6136888 -9.272539 -6.186311 2
+#> 6 1 -7.60 -12.40 -0.6958261 -0.8595749 -8.295826 -13.259575 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4920 -71625 13600
+#> initial value 998.131940
+#> iter 2 value 680.770405
+#> iter 3 value 680.679348
+#> iter 4 value 680.678276
+#> iter 5 value 661.305300
+#> iter 6 value 659.665550
+#> iter 7 value 659.631472
+#> iter 8 value 659.631355
+#> iter 8 value 659.631354
+#> final value 659.631354
+#> converged
+#> This is Run number 41
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.5006194 2.0397986 -1.7993806 -10.560201 1
+#> 2 1 -0.35 -14.40 -0.1151263 -0.5379216 -0.4651263 -14.937922 1
+#> 3 1 -12.20 -2.55 -0.2861677 -0.3062905 -12.4861677 -2.856290 2
+#> 4 1 -2.30 -13.70 3.3502749 0.7072410 1.0502749 -12.992759 1
+#> 5 1 -12.60 -7.80 0.5683409 3.6294642 -12.0316591 -4.170536 2
+#> 6 1 -7.60 -12.40 1.4085514 1.0595375 -6.1914486 -11.340462 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -73025 14475
+#> initial value 998.131940
+#> iter 2 value 666.853585
+#> iter 3 value 666.795888
+#> iter 4 value 666.773640
+#> iter 5 value 645.844021
+#> iter 6 value 643.419202
+#> iter 7 value 643.357679
+#> iter 8 value 643.357299
+#> iter 8 value 643.357296
+#> final value 643.357296
+#> converged
+#> This is Run number 42
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.46835192 -0.30822848 -3.8316481 -12.9082285 1
+#> 2 1 -0.35 -14.40 1.12145867 -0.92961895 0.7714587 -15.3296190 1
+#> 3 1 -12.20 -2.55 0.55238903 2.11688084 -11.6476110 -0.4331192 2
+#> 4 1 -2.30 -13.70 0.08291128 -0.07514927 -2.2170887 -13.7751493 1
+#> 5 1 -12.60 -7.80 2.23194385 1.23483176 -10.3680562 -6.5651682 2
+#> 6 1 -7.60 -12.40 0.98144657 0.90475115 -6.6185534 -11.4952489 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -71475 14775
+#> initial value 998.131940
+#> iter 2 value 680.202315
+#> iter 3 value 680.172803
+#> iter 4 value 680.168370
+#> iter 5 value 660.840411
+#> iter 6 value 658.858748
+#> iter 7 value 658.815054
+#> iter 8 value 658.814843
+#> iter 8 value 658.814842
+#> final value 658.814842
+#> converged
+#> This is Run number 43
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.51220581 -0.7417049 -3.78779419 -13.341705 1
+#> 2 1 -0.35 -14.40 0.38176998 -0.2630988 0.03176998 -14.663099 1
+#> 3 1 -12.20 -2.55 0.54110366 -0.4513020 -11.65889634 -3.001302 2
+#> 4 1 -2.30 -13.70 -0.35580892 -0.9791653 -2.65580892 -14.679165 1
+#> 5 1 -12.60 -7.80 -0.05032185 1.8880742 -12.65032185 -5.911926 2
+#> 6 1 -7.60 -12.40 0.01481295 0.9773041 -7.58518705 -11.422696 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4740 -76475 13775
+#> initial value 998.131940
+#> iter 2 value 635.855116
+#> iter 3 value 635.357729
+#> iter 4 value 634.986981
+#> iter 5 value 609.654069
+#> iter 6 value 606.095453
+#> iter 7 value 605.971057
+#> iter 8 value 605.969799
+#> iter 9 value 605.969789
+#> iter 9 value 605.969784
+#> iter 9 value 605.969784
+#> final value 605.969784
+#> converged
+#> This is Run number 44
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.4859882 1.320240701 -4.785988 -11.279759 1
+#> 2 1 -0.35 -14.40 1.9775223 -0.009601275 1.627522 -14.409601 1
+#> 3 1 -12.20 -2.55 1.1135257 -0.568196113 -11.086474 -3.118196 2
+#> 4 1 -2.30 -13.70 1.2017421 1.193584311 -1.098258 -12.506416 1
+#> 5 1 -12.60 -7.80 -0.5084480 -0.521158662 -13.108448 -8.321159 2
+#> 6 1 -7.60 -12.40 0.1716515 1.083918377 -7.428348 -11.316082 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -72475 14250
+#> initial value 998.131940
+#> iter 2 value 672.172536
+#> iter 3 value 672.150192
+#> iter 4 value 672.130790
+#> iter 5 value 651.935222
+#> iter 6 value 649.698687
+#> iter 7 value 649.646521
+#> iter 8 value 649.646248
+#> iter 8 value 649.646246
+#> final value 649.646246
+#> converged
+#> This is Run number 45
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2607447 1.33416310 -4.5607447 -11.265837 1
+#> 2 1 -0.35 -14.40 1.0261053 -0.56396839 0.6761053 -14.963968 1
+#> 3 1 -12.20 -2.55 -0.1135404 0.35321921 -12.3135404 -2.196781 2
+#> 4 1 -2.30 -13.70 -0.8755173 1.17789863 -3.1755173 -12.522101 1
+#> 5 1 -12.60 -7.80 1.5841029 -0.06931979 -11.0158971 -7.869320 2
+#> 6 1 -7.60 -12.40 0.5384327 0.43567732 -7.0615673 -11.964323 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5160 -74075 15225
+#> initial value 998.131940
+#> iter 2 value 655.573826
+#> iter 3 value 655.534959
+#> iter 4 value 655.500044
+#> iter 5 value 633.132400
+#> iter 6 value 630.387856
+#> iter 7 value 630.312368
+#> iter 8 value 630.311907
+#> iter 8 value 630.311905
+#> final value 630.311905
+#> converged
+#> This is Run number 46
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2373443 -0.1743745 -4.5373443 -12.774375 1
+#> 2 1 -0.35 -14.40 -0.5347819 -0.1085134 -0.8847819 -14.508513 1
+#> 3 1 -12.20 -2.55 -0.6454785 0.5069905 -12.8454785 -2.043010 2
+#> 4 1 -2.30 -13.70 -1.1417449 1.0705089 -3.4417449 -12.629491 1
+#> 5 1 -12.60 -7.80 1.8318904 -0.2720847 -10.7681096 -8.072085 2
+#> 6 1 -7.60 -12.40 -1.0654629 -0.3336993 -8.6654629 -12.733699 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -72500 14800
+#> initial value 998.131940
+#> iter 2 value 671.194399
+#> iter 3 value 671.114135
+#> iter 4 value 671.012369
+#> iter 5 value 650.292521
+#> iter 6 value 647.913642
+#> iter 7 value 647.852849
+#> iter 8 value 647.852395
+#> iter 8 value 647.852391
+#> final value 647.852391
+#> converged
+#> This is Run number 47
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.87610462 0.3319354 -5.176105 -12.268065 1
+#> 2 1 -0.35 -14.40 1.72666729 -1.6132784 1.376667 -16.013278 1
+#> 3 1 -12.20 -2.55 -0.06839598 0.6536494 -12.268396 -1.896351 2
+#> 4 1 -2.30 -13.70 1.14665864 0.5025057 -1.153341 -13.197494 1
+#> 5 1 -12.60 -7.80 -0.43546123 0.2364152 -13.035461 -7.563585 2
+#> 6 1 -7.60 -12.40 -0.49865891 -1.0242610 -8.098659 -13.424261 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -71125 14025
+#> initial value 998.131940
+#> iter 2 value 684.759893
+#> iter 3 value 684.634716
+#> iter 4 value 684.583667
+#> iter 5 value 665.839678
+#> iter 6 value 663.888256
+#> iter 7 value 663.846518
+#> iter 8 value 663.846309
+#> iter 8 value 663.846308
+#> final value 663.846308
+#> converged
+#> This is Run number 48
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.03364587 -0.3408331 -4.3336459 -12.9408331 1
+#> 2 1 -0.35 -14.40 -0.28965539 -1.0117259 -0.6396554 -15.4117259 1
+#> 3 1 -12.20 -2.55 0.06361234 1.8055141 -12.1363877 -0.7444859 2
+#> 4 1 -2.30 -13.70 0.22169461 -0.1373610 -2.0783054 -13.8373610 1
+#> 5 1 -12.60 -7.80 -0.18706121 1.5502158 -12.7870612 -6.2497842 2
+#> 6 1 -7.60 -12.40 -0.47967196 0.3569597 -8.0796720 -12.0430403 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -70775 13300
+#> initial value 998.131940
+#> iter 2 value 688.807449
+#> iter 3 value 688.681583
+#> iter 4 value 688.673789
+#> iter 5 value 670.567383
+#> iter 6 value 668.821235
+#> iter 7 value 668.788247
+#> iter 8 value 668.788136
+#> iter 8 value 668.788135
+#> final value 668.788135
+#> converged
+#> This is Run number 49
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.66200178 -1.64477446 -4.9620018 -14.244774 1
+#> 2 1 -0.35 -14.40 0.11748422 0.70570941 -0.2325158 -13.694291 1
+#> 3 1 -12.20 -2.55 -1.19614869 1.25600586 -13.3961487 -1.293994 2
+#> 4 1 -2.30 -13.70 0.08327724 0.52147248 -2.2167228 -13.178528 1
+#> 5 1 -12.60 -7.80 -0.00359192 0.08062541 -12.6035919 -7.719375 2
+#> 6 1 -7.60 -12.40 0.42927130 2.13200380 -7.1707287 -10.267996 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4780 -73850 14950
+#> initial value 998.131940
+#> iter 2 value 658.398736
+#> iter 3 value 658.381620
+#> iter 4 value 658.371923
+#> iter 5 value 636.303271
+#> iter 6 value 633.616891
+#> iter 7 value 633.542247
+#> iter 8 value 633.541720
+#> iter 8 value 633.541717
+#> final value 633.541717
+#> converged
+#> This is Run number 50
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.9461617 0.9494711 -3.353838 -11.65053 1
+#> 2 1 -0.35 -14.40 3.2769910 -0.7390514 2.926991 -15.13905 1
+#> 3 1 -12.20 -2.55 2.5491906 -0.3204796 -9.650809 -2.87048 2
+#> 4 1 -2.30 -13.70 -1.2026552 2.9910474 -3.502655 -10.70895 1
+#> 5 1 -12.60 -7.80 2.6395958 1.6750295 -9.960404 -6.12497 2
+#> 6 1 -7.60 -12.40 4.4930736 1.4149575 -3.106926 -10.98504 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5240 -73250 14150
+#> initial value 998.131940
+#> iter 2 value 665.034088
+#> iter 3 value 664.965244
+#> iter 4 value 664.930085
+#> iter 5 value 643.936880
+#> iter 6 value 641.547679
+#> iter 7 value 641.490804
+#> iter 8 value 641.490548
+#> iter 8 value 641.490547
+#> final value 641.490547
+#> converged
+#> This is Run number 51
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.1366384 -0.7902318 -4.436638 -13.390232 1
+#> 2 1 -0.35 -14.40 -1.2978301 -1.0512555 -1.647830 -15.451255 1
+#> 3 1 -12.20 -2.55 1.0258595 0.7855134 -11.174140 -1.764487 2
+#> 4 1 -2.30 -13.70 -1.4420343 -0.3982767 -3.742034 -14.098277 1
+#> 5 1 -12.60 -7.80 0.8454796 0.5839691 -11.754520 -7.216031 2
+#> 6 1 -7.60 -12.40 0.9259096 0.1795666 -6.674090 -12.220433 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5540 -73800 13975
+#> initial value 998.131940
+#> iter 2 value 660.094604
+#> iter 3 value 659.899748
+#> iter 4 value 659.763638
+#> iter 5 value 638.148631
+#> iter 6 value 635.626190
+#> iter 7 value 635.564684
+#> iter 8 value 635.564426
+#> iter 8 value 635.564425
+#> final value 635.564425
+#> converged
+#> This is Run number 52
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.004782451 0.3305092 -4.3047825 -12.269491 1
+#> 2 1 -0.35 -14.40 0.792989726 2.4822266 0.4429897 -11.917773 1
+#> 3 1 -12.20 -2.55 2.973108281 0.4226295 -9.2268917 -2.127371 2
+#> 4 1 -2.30 -13.70 -0.319135893 -0.4562851 -2.6191359 -14.156285 1
+#> 5 1 -12.60 -7.80 -1.747023855 2.5530051 -14.3470239 -5.246995 2
+#> 6 1 -7.60 -12.40 -1.061644896 2.6327407 -8.6616449 -9.767259 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5060 -71650 14000
+#> initial value 998.131940
+#> iter 2 value 679.790903
+#> iter 3 value 679.752125
+#> iter 4 value 679.729039
+#> iter 5 value 660.576413
+#> iter 6 value 658.588080
+#> iter 7 value 658.547187
+#> iter 8 value 658.547037
+#> iter 8 value 658.547036
+#> final value 658.547036
+#> converged
+#> This is Run number 53
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.9406410 2.3700374 -2.3593590 -10.229963 1
+#> 2 1 -0.35 -14.40 0.9121414 -0.1587098 0.5621414 -14.558710 1
+#> 3 1 -12.20 -2.55 -0.2063946 -0.3616148 -12.4063946 -2.911615 2
+#> 4 1 -2.30 -13.70 -0.4125045 1.5507723 -2.7125045 -12.149228 1
+#> 5 1 -12.60 -7.80 -0.2667149 -0.2675250 -12.8667149 -8.067525 2
+#> 6 1 -7.60 -12.40 -0.2322885 -0.1955551 -7.8322885 -12.595555 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -71925 15625
+#> initial value 998.131940
+#> iter 2 value 674.924554
+#> iter 3 value 674.475884
+#> iter 4 value 674.117629
+#> iter 5 value 653.677637
+#> iter 6 value 651.258277
+#> iter 7 value 651.191246
+#> iter 8 value 651.190661
+#> iter 8 value 651.190658
+#> final value 651.190658
+#> converged
+#> This is Run number 54
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.07457869 -0.6296307 -3.2254213 -13.229631 1
+#> 2 1 -0.35 -14.40 0.06168772 0.8622029 -0.2883123 -13.537797 1
+#> 3 1 -12.20 -2.55 0.93877653 -0.7485346 -11.2612235 -3.298535 2
+#> 4 1 -2.30 -13.70 2.82628411 1.1716337 0.5262841 -12.528366 1
+#> 5 1 -12.60 -7.80 -0.12321064 1.2981714 -12.7232106 -6.501829 2
+#> 6 1 -7.60 -12.40 1.45426052 -0.4980588 -6.1457395 -12.898059 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -73225 14250
+#> initial value 998.131940
+#> iter 2 value 665.317454
+#> iter 3 value 665.284932
+#> iter 4 value 665.271265
+#> iter 5 value 644.214134
+#> iter 6 value 641.806293
+#> iter 7 value 641.746436
+#> iter 8 value 641.746104
+#> iter 8 value 641.746102
+#> final value 641.746102
+#> converged
+#> This is Run number 55
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.9466554 0.1472509 -2.353345 -12.452749 1
+#> 2 1 -0.35 -14.40 1.6351147 1.2786102 1.285115 -13.121390 1
+#> 3 1 -12.20 -2.55 -0.1199046 -0.4909588 -12.319905 -3.040959 2
+#> 4 1 -2.30 -13.70 0.3449496 -0.8653605 -1.955050 -14.565360 1
+#> 5 1 -12.60 -7.80 1.7150788 0.6452861 -10.884921 -7.154714 2
+#> 6 1 -7.60 -12.40 3.7166215 3.9322191 -3.883379 -8.467781 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -73500 15375
+#> initial value 998.131940
+#> iter 2 value 660.861429
+#> iter 3 value 660.780326
+#> iter 4 value 660.752895
+#> iter 5 value 638.928353
+#> iter 6 value 636.272474
+#> iter 7 value 636.198587
+#> iter 8 value 636.198044
+#> iter 8 value 636.198040
+#> final value 636.198040
+#> converged
+#> This is Run number 56
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.03581406 -1.3280294 -4.2641859 -13.928029 1
+#> 2 1 -0.35 -14.40 -0.30704658 1.2664594 -0.6570466 -13.133541 1
+#> 3 1 -12.20 -2.55 -0.17279930 -0.4451340 -12.3727993 -2.995134 2
+#> 4 1 -2.30 -13.70 0.37750516 0.7270787 -1.9224948 -12.972921 1
+#> 5 1 -12.60 -7.80 -0.97694996 0.6623929 -13.5769500 -7.137607 2
+#> 6 1 -7.60 -12.40 0.68843941 0.4618834 -6.9115606 -11.938117 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -70000 15675
+#> initial value 998.131940
+#> iter 2 value 691.339459
+#> iter 3 value 690.967815
+#> iter 4 value 690.919405
+#> iter 5 value 672.822750
+#> iter 6 value 670.988877
+#> iter 7 value 670.952108
+#> iter 8 value 670.951958
+#> iter 8 value 670.951957
+#> final value 670.951957
+#> converged
+#> This is Run number 57
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1486709 1.79302603 -4.1513291 -10.806974 1
+#> 2 1 -0.35 -14.40 -0.4788542 1.63269544 -0.8288542 -12.767305 1
+#> 3 1 -12.20 -2.55 0.6498560 0.64113201 -11.5501440 -1.908868 2
+#> 4 1 -2.30 -13.70 0.8953531 -0.01737112 -1.4046469 -13.717371 1
+#> 5 1 -12.60 -7.80 -1.1827508 0.02559926 -13.7827508 -7.774401 2
+#> 6 1 -7.60 -12.40 -0.8068423 0.24680996 -8.4068423 -12.153190 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -69925 14250
+#> initial value 998.131940
+#> iter 2 value 694.611699
+#> iter 3 value 694.600323
+#> iter 4 value 694.592869
+#> iter 5 value 677.130856
+#> iter 6 value 675.473538
+#> iter 7 value 675.443426
+#> iter 8 value 675.443326
+#> iter 8 value 675.443326
+#> final value 675.443326
+#> converged
+#> This is Run number 58
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.1433126 -0.7915781 -5.443313 -13.391578 1
+#> 2 1 -0.35 -14.40 1.7730610 -0.2048416 1.423061 -14.604842 1
+#> 3 1 -12.20 -2.55 -0.6414468 -0.3210028 -12.841447 -2.871003 2
+#> 4 1 -2.30 -13.70 0.6008224 -0.2651426 -1.699178 -13.965143 1
+#> 5 1 -12.60 -7.80 1.4162743 2.6005108 -11.183726 -5.199489 2
+#> 6 1 -7.60 -12.40 0.8210613 -1.3600193 -6.778939 -13.760019 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -69925 13450
+#> initial value 998.131940
+#> iter 2 value 695.944569
+#> iter 3 value 695.886986
+#> iter 4 value 695.885806
+#> iter 5 value 678.418221
+#> iter 6 value 677.041024
+#> iter 7 value 677.016924
+#> iter 8 value 677.016860
+#> iter 8 value 677.016859
+#> final value 677.016859
+#> converged
+#> This is Run number 59
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1624243 1.7666755 -4.1375757 -10.833324 1
+#> 2 1 -0.35 -14.40 0.7020426 4.6224300 0.3520426 -9.777570 1
+#> 3 1 -12.20 -2.55 0.5727292 1.3787752 -11.6272708 -1.171225 2
+#> 4 1 -2.30 -13.70 0.9608171 0.1793189 -1.3391829 -13.520681 1
+#> 5 1 -12.60 -7.80 0.8761813 -0.3138276 -11.7238187 -8.113828 2
+#> 6 1 -7.60 -12.40 1.3450602 -0.7019151 -6.2549398 -13.101915 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -74125 15800
+#> initial value 998.131940
+#> iter 2 value 654.411042
+#> iter 3 value 654.183571
+#> iter 4 value 654.044455
+#> iter 5 value 631.160127
+#> iter 6 value 628.175871
+#> iter 7 value 628.081322
+#> iter 8 value 628.080403
+#> iter 8 value 628.080397
+#> final value 628.080397
+#> converged
+#> This is Run number 60
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.1391067 0.80214857 -4.4391067 -11.797851 1
+#> 2 1 -0.35 -14.40 0.7489255 -0.51899718 0.3989255 -14.918997 1
+#> 3 1 -12.20 -2.55 0.8034251 -0.01325533 -11.3965749 -2.563255 2
+#> 4 1 -2.30 -13.70 1.6599129 2.40850323 -0.6400871 -11.291497 1
+#> 5 1 -12.60 -7.80 -0.3124362 1.32485224 -12.9124362 -6.475148 2
+#> 6 1 -7.60 -12.40 1.3075876 2.35626833 -6.2924124 -10.043732 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5640 -70725 12650
+#> initial value 998.131940
+#> iter 2 value 689.681706
+#> iter 3 value 689.109612
+#> iter 4 value 688.822945
+#> iter 5 value 670.861586
+#> iter 6 value 669.136880
+#> iter 7 value 669.106722
+#> iter 8 value 669.106657
+#> iter 8 value 669.106657
+#> final value 669.106657
+#> converged
+#> This is Run number 61
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.07651337 -0.889713724 -3.223487 -13.489714 1
+#> 2 1 -0.35 -14.40 -1.13879418 3.237301097 -1.488794 -11.162699 1
+#> 3 1 -12.20 -2.55 -0.27045752 0.006804569 -12.470458 -2.543195 2
+#> 4 1 -2.30 -13.70 0.05403065 1.909160591 -2.245969 -11.790839 1
+#> 5 1 -12.60 -7.80 -2.36462244 0.496687539 -14.964622 -7.303312 2
+#> 6 1 -7.60 -12.40 0.58585966 -0.491491582 -7.014140 -12.891492 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -74550 15225
+#> initial value 998.131940
+#> iter 2 value 651.426322
+#> iter 3 value 651.389959
+#> iter 4 value 651.357222
+#> iter 5 value 628.311659
+#> iter 6 value 625.357119
+#> iter 7 value 625.267687
+#> iter 8 value 625.266950
+#> iter 8 value 625.266944
+#> final value 625.266944
+#> converged
+#> This is Run number 62
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.9544663 2.71265727 -3.34553370 -9.887343 1
+#> 2 1 -0.35 -14.40 0.2880513 0.84690403 -0.06194869 -13.553096 1
+#> 3 1 -12.20 -2.55 0.1154849 0.08398573 -12.08451510 -2.466014 2
+#> 4 1 -2.30 -13.70 0.3978235 0.71434606 -1.90217649 -12.985654 1
+#> 5 1 -12.60 -7.80 0.6173740 2.11930783 -11.98262595 -5.680692 2
+#> 6 1 -7.60 -12.40 -1.1590327 0.88607023 -8.75903273 -11.513930 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5100 -72750 15800
+#> initial value 998.131940
+#> iter 2 value 666.555335
+#> iter 3 value 666.297484
+#> iter 4 value 666.159072
+#> iter 5 value 645.091787
+#> iter 6 value 642.627262
+#> iter 7 value 642.565156
+#> iter 8 value 642.564825
+#> iter 8 value 642.564823
+#> final value 642.564823
+#> converged
+#> This is Run number 63
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.09267736 0.85127948 -4.3926774 -11.748721 1
+#> 2 1 -0.35 -14.40 -0.16050357 2.37154774 -0.5105036 -12.028452 1
+#> 3 1 -12.20 -2.55 0.04630562 -0.27128212 -12.1536944 -2.821282 2
+#> 4 1 -2.30 -13.70 -0.06047967 0.80276767 -2.3604797 -12.897232 1
+#> 5 1 -12.60 -7.80 -0.05377888 -0.42701485 -12.6537789 -8.227015 2
+#> 6 1 -7.60 -12.40 2.24896521 0.08128666 -5.3510348 -12.318713 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3980 -73075 15400
+#> initial value 998.131940
+#> iter 2 value 665.015110
+#> iter 3 value 664.626356
+#> iter 4 value 664.369312
+#> iter 5 value 642.402279
+#> iter 6 value 639.678095
+#> iter 7 value 639.592969
+#> iter 8 value 639.592089
+#> iter 8 value 639.592084
+#> final value 639.592084
+#> converged
+#> This is Run number 64
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1217177 1.8173802 -4.1782823 -10.782620 1
+#> 2 1 -0.35 -14.40 0.0287250 -0.3783157 -0.3212750 -14.778316 1
+#> 3 1 -12.20 -2.55 -0.8346982 -0.5156240 -13.0346982 -3.065624 2
+#> 4 1 -2.30 -13.70 1.3268614 -1.3559969 -0.9731386 -15.055997 1
+#> 5 1 -12.60 -7.80 -1.0227456 2.7779935 -13.6227456 -5.022007 2
+#> 6 1 -7.60 -12.40 -0.7960357 -0.1198505 -8.3960357 -12.519851 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4860 -71525 14825
+#> initial value 998.131940
+#> iter 2 value 679.549729
+#> iter 3 value 679.515135
+#> iter 4 value 679.501318
+#> iter 5 value 660.191587
+#> iter 6 value 658.156783
+#> iter 7 value 658.112790
+#> iter 8 value 658.112596
+#> iter 8 value 658.112595
+#> final value 658.112595
+#> converged
+#> This is Run number 65
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.409162009 -0.2175019 -4.7091620 -12.817502 1
+#> 2 1 -0.35 -14.40 0.670733128 1.3416881 0.3207331 -13.058312 1
+#> 3 1 -12.20 -2.55 -0.613934165 0.2951767 -12.8139342 -2.254823 2
+#> 4 1 -2.30 -13.70 0.007057131 0.2269132 -2.2929429 -13.473087 1
+#> 5 1 -12.60 -7.80 -0.909001010 -0.2126393 -13.5090010 -8.012639 2
+#> 6 1 -7.60 -12.40 -1.820283343 -0.2053892 -9.4202833 -12.605389 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4920 -72050 14750
+#> initial value 998.131940
+#> iter 2 value 674.985772
+#> iter 3 value 674.969624
+#> iter 4 value 674.958166
+#> iter 5 value 655.101470
+#> iter 6 value 652.960568
+#> iter 7 value 652.912295
+#> iter 8 value 652.912072
+#> iter 8 value 652.912070
+#> final value 652.912070
+#> converged
+#> This is Run number 66
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.32743620 1.1446541 -5.6274362 -11.4553459 1
+#> 2 1 -0.35 -14.40 -0.23538842 -0.3977565 -0.5853884 -14.7977565 1
+#> 3 1 -12.20 -2.55 -0.69341427 1.7801421 -12.8934143 -0.7698579 2
+#> 4 1 -2.30 -13.70 1.62303433 0.3923220 -0.6769657 -13.3076780 1
+#> 5 1 -12.60 -7.80 -0.03539243 -0.5604174 -12.6353924 -8.3604174 2
+#> 6 1 -7.60 -12.40 -0.12105675 1.6426279 -7.7210568 -10.7573721 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5620 -74125 15350
+#> initial value 998.131940
+#> iter 2 value 654.549229
+#> iter 3 value 654.189603
+#> iter 4 value 654.019444
+#> iter 5 value 631.374462
+#> iter 6 value 628.613355
+#> iter 7 value 628.539409
+#> iter 8 value 628.539012
+#> iter 8 value 628.539009
+#> final value 628.539009
+#> converged
+#> This is Run number 67
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.0961397 -0.1317027 -5.3961397 -12.731703 1
+#> 2 1 -0.35 -14.40 -0.3274696 1.0351243 -0.6774696 -13.364876 1
+#> 3 1 -12.20 -2.55 0.7533956 -0.3352148 -11.4466044 -2.885215 2
+#> 4 1 -2.30 -13.70 -0.6473130 1.4536338 -2.9473130 -12.246366 1
+#> 5 1 -12.60 -7.80 4.1163643 -0.2788631 -8.4836357 -8.078863 2
+#> 6 1 -7.60 -12.40 0.5032685 2.6744475 -7.0967315 -9.725552 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5240 -74500 14025
+#> initial value 998.131940
+#> iter 2 value 653.756741
+#> iter 3 value 653.628810
+#> iter 4 value 653.626092
+#> iter 5 value 630.955889
+#> iter 6 value 628.396419
+#> iter 7 value 628.327344
+#> iter 8 value 628.326980
+#> iter 8 value 628.326978
+#> final value 628.326978
+#> converged
+#> This is Run number 68
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.65478525 0.5461493 -2.645215 -12.053851 1
+#> 2 1 -0.35 -14.40 -1.19341886 0.6629951 -1.543419 -13.737005 1
+#> 3 1 -12.20 -2.55 1.10698520 -1.0421209 -11.093015 -3.592121 2
+#> 4 1 -2.30 -13.70 -0.03476897 2.1248576 -2.334769 -11.575142 1
+#> 5 1 -12.60 -7.80 -0.14292779 -0.7222493 -12.742928 -8.522249 2
+#> 6 1 -7.60 -12.40 -0.26595270 -0.2950156 -7.865953 -12.695016 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4340 -71825 14625
+#> initial value 998.131940
+#> iter 2 value 677.543874
+#> iter 3 value 677.459788
+#> iter 4 value 677.382475
+#> iter 5 value 657.574328
+#> iter 6 value 655.394439
+#> iter 7 value 655.343142
+#> iter 8 value 655.342811
+#> iter 8 value 655.342808
+#> final value 655.342808
+#> converged
+#> This is Run number 69
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.6920017 -0.2516188 -4.992002 -12.851619 1
+#> 2 1 -0.35 -14.40 1.9089580 -1.1974846 1.558958 -15.597485 1
+#> 3 1 -12.20 -2.55 0.9048175 -0.1374006 -11.295183 -2.687401 2
+#> 4 1 -2.30 -13.70 1.1018301 0.9032942 -1.198170 -12.796706 1
+#> 5 1 -12.60 -7.80 2.6655378 1.3247017 -9.934462 -6.475298 2
+#> 6 1 -7.60 -12.40 -1.3204263 -0.2748454 -8.920426 -12.674845 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4900 -74350 15700
+#> initial value 998.131940
+#> iter 2 value 652.267600
+#> iter 3 value 652.170980
+#> iter 4 value 652.170365
+#> iter 5 value 628.251307
+#> iter 6 value 626.271019
+#> iter 7 value 626.210075
+#> iter 8 value 626.209699
+#> iter 8 value 626.209695
+#> final value 626.209695
+#> converged
+#> This is Run number 70
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.00480859 3.18962067 -2.2951914 -9.410379 1
+#> 2 1 -0.35 -14.40 0.51485835 -0.11066583 0.1648584 -14.510666 1
+#> 3 1 -12.20 -2.55 -0.95980525 -1.31194726 -13.1598053 -3.861947 2
+#> 4 1 -2.30 -13.70 1.13748449 -1.21664878 -1.1625155 -14.916649 1
+#> 5 1 -12.60 -7.80 0.07302557 1.85774157 -12.5269744 -5.942258 2
+#> 6 1 -7.60 -12.40 -0.86277774 0.07524391 -8.4627777 -12.324756 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -72375 13975
+#> initial value 998.131940
+#> iter 2 value 673.635667
+#> iter 3 value 673.545430
+#> iter 4 value 673.469982
+#> iter 5 value 653.390945
+#> iter 6 value 651.163681
+#> iter 7 value 651.111874
+#> iter 8 value 651.111586
+#> iter 8 value 651.111584
+#> final value 651.111584
+#> converged
+#> This is Run number 71
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.6379599 0.5146197 -4.937960 -12.085380 1
+#> 2 1 -0.35 -14.40 3.0601433 0.3748955 2.710143 -14.025104 1
+#> 3 1 -12.20 -2.55 1.8207942 -1.4581952 -10.379206 -4.008195 2
+#> 4 1 -2.30 -13.70 -0.4339657 2.4473693 -2.733966 -11.252631 1
+#> 5 1 -12.60 -7.80 -0.1334463 -2.2505837 -12.733446 -10.050584 2
+#> 6 1 -7.60 -12.40 0.5641948 -0.7761765 -7.035805 -13.176176 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5160 -74250 14725
+#> initial value 998.131940
+#> iter 2 value 654.894295
+#> iter 3 value 654.883154
+#> iter 4 value 654.873155
+#> iter 5 value 632.458089
+#> iter 6 value 629.748579
+#> iter 7 value 629.675109
+#> iter 8 value 629.674678
+#> iter 8 value 629.674675
+#> final value 629.674675
+#> converged
+#> This is Run number 72
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.1187584 1.1616961 -5.4187584 -11.438304 1
+#> 2 1 -0.35 -14.40 0.6180925 -0.6775066 0.2680925 -15.077507 1
+#> 3 1 -12.20 -2.55 0.6502805 1.3230008 -11.5497195 -1.226999 2
+#> 4 1 -2.30 -13.70 1.9501556 -0.2579866 -0.3498444 -13.957987 1
+#> 5 1 -12.60 -7.80 1.2029309 2.0838801 -11.3970691 -5.716120 2
+#> 6 1 -7.60 -12.40 -0.4235191 0.9247238 -8.0235191 -11.475276 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -71150 16000
+#> initial value 998.131940
+#> iter 2 value 680.646155
+#> iter 3 value 680.224089
+#> iter 4 value 680.191466
+#> iter 5 value 660.749421
+#> iter 6 value 658.630916
+#> iter 7 value 658.582629
+#> iter 8 value 658.582386
+#> iter 8 value 658.582384
+#> final value 658.582384
+#> converged
+#> This is Run number 73
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.49755225 0.47033071 -4.7975522 -12.129669 1
+#> 2 1 -0.35 -14.40 0.78395216 -1.72903873 0.4339522 -16.129039 1
+#> 3 1 -12.20 -2.55 -1.06203659 -1.00072106 -13.2620366 -3.550721 2
+#> 4 1 -2.30 -13.70 0.80147963 0.08929004 -1.4985204 -13.610710 1
+#> 5 1 -12.60 -7.80 0.00824271 -1.28612924 -12.5917573 -9.086129 2
+#> 6 1 -7.60 -12.40 0.91443115 0.56878283 -6.6855688 -11.831217 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -70000 13000
+#> initial value 998.131940
+#> iter 2 value 696.055956
+#> iter 3 value 695.885216
+#> iter 4 value 695.871852
+#> iter 5 value 678.629208
+#> iter 6 value 677.028941
+#> iter 7 value 677.001102
+#> iter 8 value 677.001019
+#> iter 8 value 677.001019
+#> final value 677.001019
+#> converged
+#> This is Run number 74
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.3540840 0.01829728 -4.654084 -12.581703 1
+#> 2 1 -0.35 -14.40 2.0083907 -0.62284846 1.658391 -15.022848 1
+#> 3 1 -12.20 -2.55 1.5024345 -1.32762272 -10.697565 -3.877623 2
+#> 4 1 -2.30 -13.70 -0.1226293 -0.25670000 -2.422629 -13.956700 1
+#> 5 1 -12.60 -7.80 0.6444968 0.97441465 -11.955503 -6.825585 2
+#> 6 1 -7.60 -12.40 -0.9377523 -0.17251761 -8.537752 -12.572518 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -70950 14125
+#> initial value 998.131940
+#> iter 2 value 686.028356
+#> iter 3 value 686.004102
+#> iter 4 value 685.991962
+#> iter 5 value 667.482125
+#> iter 6 value 665.597830
+#> iter 7 value 665.559282
+#> iter 8 value 665.559113
+#> iter 8 value 665.559112
+#> final value 665.559112
+#> converged
+#> This is Run number 75
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.37951571 -0.6922312 -4.679516 -13.292231 1
+#> 2 1 -0.35 -14.40 -0.13099503 3.4174968 -0.480995 -10.982503 1
+#> 3 1 -12.20 -2.55 1.09756201 1.0582243 -11.102438 -1.491776 2
+#> 4 1 -2.30 -13.70 0.61724330 3.0495946 -1.682757 -10.650405 1
+#> 5 1 -12.60 -7.80 -0.44175636 -0.1185990 -13.041756 -7.918599 2
+#> 6 1 -7.60 -12.40 0.08218988 2.6366516 -7.517810 -9.763348 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5400 -75050 15275
+#> initial value 998.131940
+#> iter 2 value 646.264074
+#> iter 3 value 646.149237
+#> iter 4 value 646.104097
+#> iter 5 value 622.490376
+#> iter 6 value 619.447308
+#> iter 7 value 619.358079
+#> iter 8 value 619.357503
+#> iter 8 value 619.357499
+#> final value 619.357499
+#> converged
+#> This is Run number 76
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.06544894 4.2956820 -4.2345511 -8.304318 1
+#> 2 1 -0.35 -14.40 -0.30000050 -1.4079359 -0.6500005 -15.807936 1
+#> 3 1 -12.20 -2.55 0.02251103 0.1351126 -12.1774890 -2.414887 2
+#> 4 1 -2.30 -13.70 0.32969911 -0.6062525 -1.9703009 -14.306252 1
+#> 5 1 -12.60 -7.80 0.44250001 3.8231542 -12.1575000 -3.976846 2
+#> 6 1 -7.60 -12.40 0.64542874 -1.0755837 -6.9545713 -13.475584 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5180 -74250 14775
+#> initial value 998.131940
+#> iter 2 value 654.789753
+#> iter 3 value 654.777438
+#> iter 4 value 654.776436
+#> iter 5 value 632.342752
+#> iter 6 value 629.617407
+#> iter 7 value 629.543616
+#> iter 8 value 629.543185
+#> iter 8 value 629.543183
+#> final value 629.543183
+#> converged
+#> This is Run number 77
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.8257410 -0.05095656 -3.4742590 -12.650957 1
+#> 2 1 -0.35 -14.40 0.7079710 0.30805584 0.3579710 -14.091944 1
+#> 3 1 -12.20 -2.55 2.4179216 0.66691325 -9.7820784 -1.883087 2
+#> 4 1 -2.30 -13.70 1.7208031 -1.06916605 -0.5791969 -14.769166 1
+#> 5 1 -12.60 -7.80 1.8798603 -0.43184464 -10.7201397 -8.231845 2
+#> 6 1 -7.60 -12.40 -0.3728693 0.93516098 -7.9728693 -11.464839 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4580 -74375 14950
+#> initial value 998.131940
+#> iter 2 value 653.668245
+#> iter 3 value 653.471629
+#> iter 4 value 653.436476
+#> iter 5 value 630.650661
+#> iter 6 value 627.738573
+#> iter 7 value 627.651022
+#> iter 8 value 627.650257
+#> iter 8 value 627.650251
+#> final value 627.650251
+#> converged
+#> This is Run number 78
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.06130088 1.6751306 -3.2386991 -10.924869 1
+#> 2 1 -0.35 -14.40 -0.11802434 1.7689923 -0.4680243 -12.631008 1
+#> 3 1 -12.20 -2.55 0.70851325 0.6977942 -11.4914868 -1.852206 2
+#> 4 1 -2.30 -13.70 0.33867270 1.4667953 -1.9613273 -12.233205 1
+#> 5 1 -12.60 -7.80 -0.17708399 1.4934748 -12.7770840 -6.306525 2
+#> 6 1 -7.60 -12.40 -0.06090515 0.8371405 -7.6609051 -11.562860 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -69375 10975
+#> initial value 998.131940
+#> iter 2 value 704.184694
+#> iter 3 value 702.868478
+#> iter 4 value 702.734307
+#> iter 5 value 686.217133
+#> iter 6 value 684.744833
+#> iter 7 value 684.721303
+#> iter 8 value 684.721250
+#> iter 8 value 684.721250
+#> final value 684.721250
+#> converged
+#> This is Run number 79
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.3133937 1.0010059 -3.9866063 -11.598994 1
+#> 2 1 -0.35 -14.40 -0.8510258 0.8909837 -1.2010258 -13.509016 1
+#> 3 1 -12.20 -2.55 0.5297319 1.1458015 -11.6702681 -1.404199 2
+#> 4 1 -2.30 -13.70 2.4336733 -0.9770264 0.1336733 -14.677026 1
+#> 5 1 -12.60 -7.80 1.3265574 1.2614109 -11.2734426 -6.538589 2
+#> 6 1 -7.60 -12.40 0.2873698 -0.1825378 -7.3126302 -12.582538 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -71025 13250
+#> initial value 998.131940
+#> iter 2 value 686.620085
+#> iter 3 value 686.465443
+#> iter 4 value 686.465225
+#> iter 5 value 666.576096
+#> iter 6 value 666.303787
+#> iter 7 value 666.298083
+#> iter 7 value 666.298074
+#> iter 7 value 666.298074
+#> final value 666.298074
+#> converged
+#> This is Run number 80
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.5205388 -1.04098975 -2.7794612 -13.640990 1
+#> 2 1 -0.35 -14.40 -0.2138737 -0.05598396 -0.5638737 -14.455984 1
+#> 3 1 -12.20 -2.55 0.1958772 -1.30264594 -12.0041228 -3.852646 2
+#> 4 1 -2.30 -13.70 0.1594098 -0.08466912 -2.1405902 -13.784669 1
+#> 5 1 -12.60 -7.80 -0.2565810 0.04074725 -12.8565810 -7.759253 2
+#> 6 1 -7.60 -12.40 1.6523282 -0.86861025 -5.9476718 -13.268610 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -70425 14400
+#> initial value 998.131940
+#> iter 2 value 690.226732
+#> iter 3 value 690.185240
+#> iter 4 value 690.161621
+#> iter 5 value 672.058805
+#> iter 6 value 670.236377
+#> iter 7 value 670.199468
+#> iter 8 value 670.199295
+#> iter 8 value 670.199294
+#> final value 670.199294
+#> converged
+#> This is Run number 81
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.32192994 1.00816472 -2.978070 -11.591835 1
+#> 2 1 -0.35 -14.40 1.15812796 0.26979995 0.808128 -14.130200 1
+#> 3 1 -12.20 -2.55 -0.27463459 0.62807382 -12.474635 -1.921926 2
+#> 4 1 -2.30 -13.70 -0.07305990 -0.03440884 -2.373060 -13.734409 1
+#> 5 1 -12.60 -7.80 0.07077062 -0.58292285 -12.529229 -8.382923 2
+#> 6 1 -7.60 -12.40 3.85943781 -0.61316481 -3.740562 -13.013165 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -73475 15025
+#> initial value 998.131940
+#> iter 2 value 661.793481
+#> iter 3 value 661.738404
+#> iter 4 value 661.697121
+#> iter 5 value 639.994566
+#> iter 6 value 637.364557
+#> iter 7 value 637.291752
+#> iter 8 value 637.291210
+#> iter 8 value 637.291206
+#> final value 637.291206
+#> converged
+#> This is Run number 82
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.6374872 0.5057596 -2.662513 -12.094240 1
+#> 2 1 -0.35 -14.40 1.9844418 5.4560559 1.634442 -8.943944 1
+#> 3 1 -12.20 -2.55 -0.1430002 -0.1914458 -12.343000 -2.741446 2
+#> 4 1 -2.30 -13.70 0.3775050 0.7754727 -1.922495 -12.924527 1
+#> 5 1 -12.60 -7.80 2.6505456 1.2731827 -9.949454 -6.526817 2
+#> 6 1 -7.60 -12.40 1.9316310 -0.3145426 -5.668369 -12.714543 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -70675 14700
+#> initial value 998.131940
+#> iter 2 value 687.583231
+#> iter 3 value 687.470423
+#> iter 4 value 687.374275
+#> iter 5 value 668.855678
+#> iter 6 value 666.925152
+#> iter 7 value 666.883287
+#> iter 8 value 666.883055
+#> iter 8 value 666.883054
+#> final value 666.883054
+#> converged
+#> This is Run number 83
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.24878777 -0.1336669 -4.05121223 -12.733667 1
+#> 2 1 -0.35 -14.40 0.39341982 0.5089208 0.04341982 -13.891079 1
+#> 3 1 -12.20 -2.55 0.03771031 -1.0309239 -12.16228969 -3.580924 2
+#> 4 1 -2.30 -13.70 0.03368803 0.3081212 -2.26631197 -13.391879 1
+#> 5 1 -12.60 -7.80 1.25293250 1.0025336 -11.34706750 -6.797466 2
+#> 6 1 -7.60 -12.40 1.12586701 -0.1379748 -6.47413299 -12.537975 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5140 -73425 14175
+#> initial value 998.131940
+#> iter 2 value 663.462065
+#> iter 3 value 663.409726
+#> iter 4 value 663.402129
+#> iter 5 value 642.141485
+#> iter 6 value 639.742484
+#> iter 7 value 639.683624
+#> iter 8 value 639.683338
+#> iter 8 value 639.683337
+#> final value 639.683337
+#> converged
+#> This is Run number 84
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.07760881 1.6728073 -4.2223912 -10.927193 1
+#> 2 1 -0.35 -14.40 -0.12308174 -0.2432710 -0.4730817 -14.643271 1
+#> 3 1 -12.20 -2.55 -0.76434816 1.3396835 -12.9643482 -1.210316 2
+#> 4 1 -2.30 -13.70 0.45922352 0.1094056 -1.8407765 -13.590594 1
+#> 5 1 -12.60 -7.80 -0.01366645 -0.8460247 -12.6136664 -8.646025 2
+#> 6 1 -7.60 -12.40 0.96934141 -0.4972624 -6.6306586 -12.897262 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -70200 13075
+#> initial value 998.131940
+#> iter 2 value 694.265614
+#> iter 3 value 694.095969
+#> iter 4 value 694.051542
+#> iter 5 value 676.587066
+#> iter 6 value 674.920086
+#> iter 7 value 674.890072
+#> iter 8 value 674.889972
+#> iter 8 value 674.889971
+#> final value 674.889971
+#> converged
+#> This is Run number 85
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1951989 0.73503100 -4.10480112 -11.864969 1
+#> 2 1 -0.35 -14.40 0.2392806 1.17485328 -0.11071942 -13.225147 1
+#> 3 1 -12.20 -2.55 0.9731295 1.32153278 -11.22687048 -1.228467 2
+#> 4 1 -2.30 -13.70 2.3572994 -0.05578407 0.05729945 -13.755784 1
+#> 5 1 -12.60 -7.80 2.6653256 0.64990949 -9.93467441 -7.150091 2
+#> 6 1 -7.60 -12.40 -0.9071722 1.64724971 -8.50717223 -10.752750 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4240 -71575 14400
+#> initial value 998.131940
+#> iter 2 value 680.218742
+#> iter 3 value 679.855423
+#> iter 4 value 679.815929
+#> iter 5 value 660.425576
+#> iter 6 value 658.302918
+#> iter 7 value 658.253344
+#> iter 8 value 658.253027
+#> iter 8 value 658.253025
+#> final value 658.253025
+#> converged
+#> This is Run number 86
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.85608245 0.3882071 -5.1560824 -12.211793 1
+#> 2 1 -0.35 -14.40 1.06079748 3.0886135 0.7107975 -11.311386 1
+#> 3 1 -12.20 -2.55 2.07853815 2.9335360 -10.1214618 0.383536 2
+#> 4 1 -2.30 -13.70 2.59750643 0.4144809 0.2975064 -13.285519 1
+#> 5 1 -12.60 -7.80 -0.04829892 -1.6967200 -12.6482989 -9.496720 2
+#> 6 1 -7.60 -12.40 -0.14939873 1.1398264 -7.7493987 -11.260174 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5060 -74750 15150
+#> initial value 998.131940
+#> iter 2 value 649.528846
+#> iter 3 value 649.523578
+#> iter 4 value 649.521701
+#> iter 5 value 626.036695
+#> iter 6 value 623.373244
+#> iter 7 value 623.294229
+#> iter 8 value 623.293701
+#> iter 8 value 623.293697
+#> final value 623.293697
+#> converged
+#> This is Run number 87
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.5323826 -0.004848633 -5.8323826 -12.604849 1
+#> 2 1 -0.35 -14.40 0.1342492 -1.115834171 -0.2157508 -15.515834 1
+#> 3 1 -12.20 -2.55 2.2908020 -0.915766951 -9.9091980 -3.465767 2
+#> 4 1 -2.30 -13.70 1.5799699 -0.378282197 -0.7200301 -14.078282 1
+#> 5 1 -12.60 -7.80 -0.4529208 1.054097071 -13.0529208 -6.745903 2
+#> 6 1 -7.60 -12.40 -0.2585607 1.598410878 -7.8585607 -10.801589 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5420 -72725 13775
+#> initial value 998.131940
+#> iter 2 value 670.303946
+#> iter 3 value 670.126371
+#> iter 4 value 670.015098
+#> iter 5 value 649.722848
+#> iter 6 value 647.497843
+#> iter 7 value 647.448893
+#> iter 8 value 647.448717
+#> iter 8 value 647.448716
+#> final value 647.448716
+#> converged
+#> This is Run number 88
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.07997691 0.07997949 -4.2200231 -12.520021 1
+#> 2 1 -0.35 -14.40 0.22983462 0.94714408 -0.1201654 -13.452856 1
+#> 3 1 -12.20 -2.55 -1.10578906 0.74383374 -13.3057891 -1.806166 2
+#> 4 1 -2.30 -13.70 1.10006527 -1.14588445 -1.1999347 -14.845884 1
+#> 5 1 -12.60 -7.80 0.95511837 2.86634117 -11.6448816 -4.933659 2
+#> 6 1 -7.60 -12.40 3.32186007 1.69658017 -4.2781399 -10.703420 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5180 -72475 14400
+#> initial value 998.131940
+#> iter 2 value 671.646378
+#> iter 3 value 671.634398
+#> iter 4 value 671.605896
+#> iter 5 value 651.373387
+#> iter 6 value 649.156814
+#> iter 7 value 649.106218
+#> iter 8 value 649.106003
+#> iter 8 value 649.106002
+#> final value 649.106002
+#> converged
+#> This is Run number 89
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.65493382 1.71327646 -1.645066 -10.88672 1
+#> 2 1 -0.35 -14.40 1.11226400 -0.02594771 0.762264 -14.42595 1
+#> 3 1 -12.20 -2.55 -0.64256751 -0.12508041 -12.842568 -2.67508 2
+#> 4 1 -2.30 -13.70 0.38373882 -0.14182579 -1.916261 -13.84183 1
+#> 5 1 -12.60 -7.80 0.01688291 1.02815983 -12.583117 -6.77184 2
+#> 6 1 -7.60 -12.40 0.05817692 -0.24883536 -7.541823 -12.64884 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -73800 15050
+#> initial value 998.131940
+#> iter 2 value 658.771247
+#> iter 3 value 658.711401
+#> iter 4 value 658.688276
+#> iter 5 value 636.541815
+#> iter 6 value 633.808290
+#> iter 7 value 633.729703
+#> iter 8 value 633.729081
+#> iter 8 value 633.729076
+#> final value 633.729076
+#> converged
+#> This is Run number 90
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.15864537 -0.7537298 -4.14135463 -13.3537298 1
+#> 2 1 -0.35 -14.40 0.26918073 1.7203385 -0.08081927 -12.6796615 1
+#> 3 1 -12.20 -2.55 1.73501450 2.0985387 -10.46498550 -0.4514613 2
+#> 4 1 -2.30 -13.70 0.05156272 1.3666659 -2.24843728 -12.3333341 1
+#> 5 1 -12.60 -7.80 -1.36240067 -0.2884814 -13.96240067 -8.0884814 2
+#> 6 1 -7.60 -12.40 -1.07068000 1.0210922 -8.67068000 -11.3789078 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -73525 16100
+#> initial value 998.131940
+#> iter 2 value 659.149712
+#> iter 3 value 658.872504
+#> iter 4 value 658.872169
+#> iter 5 value 634.982544
+#> iter 6 value 633.886083
+#> iter 7 value 633.851398
+#> iter 8 value 633.851225
+#> iter 8 value 633.851224
+#> final value 633.851224
+#> converged
+#> This is Run number 91
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.25371645 -0.73724825 -4.5537164 -13.337248 1
+#> 2 1 -0.35 -14.40 -0.05449752 2.32810691 -0.4044975 -12.071893 1
+#> 3 1 -12.20 -2.55 0.01678232 0.06640227 -12.1832177 -2.483598 2
+#> 4 1 -2.30 -13.70 1.39032237 0.59209137 -0.9096776 -13.107909 1
+#> 5 1 -12.60 -7.80 0.39776613 4.23587850 -12.2022339 -3.564122 2
+#> 6 1 -7.60 -12.40 0.50806621 -0.14847029 -7.0919338 -12.548470 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -70800 13700
+#> initial value 998.131940
+#> iter 2 value 688.162310
+#> iter 3 value 688.056925
+#> iter 4 value 688.002110
+#> iter 5 value 669.622499
+#> iter 6 value 667.765947
+#> iter 7 value 667.728780
+#> iter 8 value 667.728608
+#> iter 8 value 667.728607
+#> final value 667.728607
+#> converged
+#> This is Run number 92
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.25710812 -0.9562916 -5.557108 -13.556292 1
+#> 2 1 -0.35 -14.40 -1.33366873 0.5930718 -1.683669 -13.806928 1
+#> 3 1 -12.20 -2.55 0.01019027 0.8684292 -12.189810 -1.681571 2
+#> 4 1 -2.30 -13.70 1.22091986 2.0199612 -1.079080 -11.680039 1
+#> 5 1 -12.60 -7.80 -0.16053757 -1.0880936 -12.760538 -8.888094 2
+#> 6 1 -7.60 -12.40 0.59779638 0.2933973 -7.002204 -12.106603 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4280 -72625 14675
+#> initial value 998.131940
+#> iter 2 value 670.318290
+#> iter 3 value 669.977133
+#> iter 4 value 669.893595
+#> iter 5 value 649.199567
+#> iter 6 value 646.782481
+#> iter 7 value 646.719474
+#> iter 8 value 646.718990
+#> iter 8 value 646.718986
+#> final value 646.718986
+#> converged
+#> This is Run number 93
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.41680972 1.1643052 -2.883190 -11.435695 1
+#> 2 1 -0.35 -14.40 1.41630076 -0.3799634 1.066301 -14.779963 1
+#> 3 1 -12.20 -2.55 1.63470203 -0.9650620 -10.565298 -3.515062 2
+#> 4 1 -2.30 -13.70 -0.06336461 0.4509771 -2.363365 -13.249023 1
+#> 5 1 -12.60 -7.80 3.22170144 1.3523762 -9.378299 -6.447624 2
+#> 6 1 -7.60 -12.40 0.65432240 -0.1825463 -6.945678 -12.582546 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -73900 14675
+#> initial value 998.131940
+#> iter 2 value 658.641284
+#> iter 3 value 658.215052
+#> iter 4 value 658.212306
+#> iter 5 value 636.009870
+#> iter 6 value 633.268631
+#> iter 7 value 633.188275
+#> iter 8 value 633.187595
+#> iter 8 value 633.187590
+#> final value 633.187590
+#> converged
+#> This is Run number 94
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.5433488 2.0142352 -2.7566512 -10.585765 1
+#> 2 1 -0.35 -14.40 0.2133637 -0.2628284 -0.1366363 -14.662828 1
+#> 3 1 -12.20 -2.55 -0.9158065 0.9348801 -13.1158065 -1.615120 2
+#> 4 1 -2.30 -13.70 2.7328191 0.2726192 0.4328191 -13.427381 1
+#> 5 1 -12.60 -7.80 -0.4322902 0.1231132 -13.0322902 -7.676887 2
+#> 6 1 -7.60 -12.40 0.8171500 1.4607659 -6.7828500 -10.939234 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4360 -72900 13875
+#> initial value 998.131940
+#> iter 2 value 669.194961
+#> iter 3 value 668.947512
+#> iter 4 value 668.887555
+#> iter 5 value 647.799035
+#> iter 6 value 645.389848
+#> iter 7 value 645.328372
+#> iter 8 value 645.327933
+#> iter 8 value 645.327929
+#> final value 645.327929
+#> converged
+#> This is Run number 95
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.09025126 0.6749734 -5.3902513 -11.925027 1
+#> 2 1 -0.35 -14.40 0.74899971 -0.3440018 0.3989997 -14.744002 1
+#> 3 1 -12.20 -2.55 4.92772656 1.4098733 -7.2722734 -1.140127 2
+#> 4 1 -2.30 -13.70 3.02064111 1.7546755 0.7206411 -11.945324 1
+#> 5 1 -12.60 -7.80 0.92776839 2.2362037 -11.6722316 -5.563796 2
+#> 6 1 -7.60 -12.40 0.03904138 -0.1802480 -7.5609586 -12.580248 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4740 -72925 13200
+#> initial value 998.131940
+#> iter 2 value 669.854833
+#> iter 3 value 669.506902
+#> iter 4 value 669.366286
+#> iter 5 value 648.862181
+#> iter 6 value 646.550467
+#> iter 7 value 646.495510
+#> iter 8 value 646.495223
+#> iter 8 value 646.495221
+#> final value 646.495221
+#> converged
+#> This is Run number 96
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.1831431 1.24134445 -4.4831431 -11.358656 1
+#> 2 1 -0.35 -14.40 1.1632052 1.31522763 0.8132052 -13.084772 1
+#> 3 1 -12.20 -2.55 2.9605297 0.41001834 -9.2394703 -2.139982 2
+#> 4 1 -2.30 -13.70 1.4234379 -0.07907111 -0.8765621 -13.779071 1
+#> 5 1 -12.60 -7.80 -0.4994702 0.70513196 -13.0994702 -7.094868 2
+#> 6 1 -7.60 -12.40 1.0335398 0.84693643 -6.5664602 -11.553064 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -74000 14000
+#> initial value 998.131940
+#> iter 2 value 658.842200
+#> iter 3 value 658.618877
+#> iter 4 value 658.439407
+#> iter 5 value 636.259963
+#> iter 6 value 633.545981
+#> iter 7 value 633.470468
+#> iter 8 value 633.469890
+#> iter 8 value 633.469885
+#> final value 633.469885
+#> converged
+#> This is Run number 97
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.9969201 0.484236469 -5.29692013 -12.115764 1
+#> 2 1 -0.35 -14.40 0.2812222 1.032504635 -0.06877783 -13.367495 1
+#> 3 1 -12.20 -2.55 0.6225513 0.649991292 -11.57744871 -1.900009 2
+#> 4 1 -2.30 -13.70 0.1489545 -0.122196756 -2.15104552 -13.822197 1
+#> 5 1 -12.60 -7.80 2.8521189 3.796334587 -9.74788112 -4.003665 2
+#> 6 1 -7.60 -12.40 -1.2429777 0.003581328 -8.84297767 -12.396419 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5300 -70850 14175
+#> initial value 998.131940
+#> iter 2 value 686.379563
+#> iter 3 value 686.099188
+#> iter 4 value 686.043675
+#> iter 5 value 667.669694
+#> iter 6 value 665.837393
+#> iter 7 value 665.802529
+#> iter 8 value 665.802427
+#> iter 8 value 665.802426
+#> final value 665.802426
+#> converged
+#> This is Run number 98
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.4167873 1.8801166 -2.8832127 -10.719883 1
+#> 2 1 -0.35 -14.40 0.8883569 0.8959816 0.5383569 -13.504018 1
+#> 3 1 -12.20 -2.55 2.0278065 0.2641276 -10.1721935 -2.285872 2
+#> 4 1 -2.30 -13.70 0.7598899 3.3665853 -1.5401101 -10.333415 1
+#> 5 1 -12.60 -7.80 5.1800416 -0.7529518 -7.4199584 -8.552952 1
+#> 6 1 -7.60 -12.40 2.0958752 -0.3899312 -5.5041248 -12.789931 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5740 -71850 15325
+#> initial value 998.131940
+#> iter 2 value 675.101833
+#> iter 3 value 674.708691
+#> iter 4 value 674.273130
+#> iter 5 value 653.588585
+#> iter 6 value 651.422796
+#> iter 7 value 651.373252
+#> iter 8 value 651.373017
+#> iter 8 value 651.373014
+#> final value 651.373014
+#> converged
+#> This is Run number 99
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.4713788 1.5017671 -4.771379 -11.098233 1
+#> 2 1 -0.35 -14.40 1.5046438 1.1153738 1.154644 -13.284626 1
+#> 3 1 -12.20 -2.55 0.5619061 0.9171746 -11.638094 -1.632825 2
+#> 4 1 -2.30 -13.70 0.4807849 0.8247922 -1.819215 -12.875208 1
+#> 5 1 -12.60 -7.80 0.4015633 -0.5795607 -12.198437 -8.379561 2
+#> 6 1 -7.60 -12.40 0.8281306 -0.5611758 -6.771869 -12.961176 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5080 -73100 15350
+#> initial value 998.131940
+#> iter 2 value 664.298290
+#> iter 3 value 664.206821
+#> iter 4 value 664.146405
+#> iter 5 value 642.891961
+#> iter 6 value 640.399273
+#> iter 7 value 640.336055
+#> iter 8 value 640.335711
+#> iter 8 value 640.335709
+#> final value 640.335709
+#> converged
+#> This is Run number 100
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.2877142 4.4875013 -5.587714 -8.112499 1
+#> 2 1 -0.35 -14.40 1.7312855 0.6773761 1.381286 -13.722624 1
+#> 3 1 -12.20 -2.55 -0.6842469 0.5310447 -12.884247 -2.018955 2
+#> 4 1 -2.30 -13.70 -0.3892328 2.2201738 -2.689233 -11.479826 1
+#> 5 1 -12.60 -7.80 -0.9936139 0.6106906 -13.593614 -7.189309 2
+#> 6 1 -7.60 -12.40 1.9587034 0.3703532 -5.641297 -12.029647 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3440 -71725 14975
+#> initial value 998.131940
+#> iter 2 value 678.153955
+#> iter 3 value 677.504319
+#> iter 4 value 676.874785
+#> iter 5 value 655.615451
+#> iter 6 value 653.218088
+#> iter 7 value 653.145065
+#> iter 8 value 653.144103
+#> iter 9 value 653.144093
+#> iter 9 value 653.144087
+#> iter 9 value 653.144086
+#> final value 653.144086
+#> converged
+#> This is Run number 101
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.6728262 1.4040107 -4.9728262 -11.195989 1
+#> 2 1 -0.35 -14.40 0.6647315 0.4364536 0.3147315 -13.963546 1
+#> 3 1 -12.20 -2.55 -1.2945553 0.4466363 -13.4945553 -2.103364 2
+#> 4 1 -2.30 -13.70 0.7235386 1.4311475 -1.5764614 -12.268853 1
+#> 5 1 -12.60 -7.80 1.1756940 0.2752915 -11.4243060 -7.524709 2
+#> 6 1 -7.60 -12.40 2.9442947 -0.8371764 -4.6557053 -13.237176 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -70075 14100
+#> initial value 998.131940
+#> iter 2 value 693.813567
+#> iter 3 value 693.695183
+#> iter 4 value 693.684677
+#> iter 5 value 676.051172
+#> iter 6 value 674.321971
+#> iter 7 value 674.288720
+#> iter 8 value 674.288574
+#> iter 8 value 674.288573
+#> final value 674.288573
+#> converged
+#> This is Run number 102
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.6694986 -0.4983024 -2.630501 -13.098302 1
+#> 2 1 -0.35 -14.40 1.5004667 -0.2534249 1.150467 -14.653425 1
+#> 3 1 -12.20 -2.55 -0.4778551 0.9121890 -12.677855 -1.637811 2
+#> 4 1 -2.30 -13.70 -0.9795483 0.8166628 -3.279548 -12.883337 1
+#> 5 1 -12.60 -7.80 3.7550751 0.7221944 -8.844925 -7.077806 2
+#> 6 1 -7.60 -12.40 -0.2257315 -0.7528861 -7.825731 -13.152886 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5300 -71025 12600
+#> initial value 998.131940
+#> iter 2 value 687.370442
+#> iter 3 value 686.910044
+#> iter 4 value 686.867210
+#> iter 5 value 668.658292
+#> iter 6 value 666.882695
+#> iter 7 value 666.850349
+#> iter 8 value 666.850268
+#> iter 8 value 666.850267
+#> final value 666.850267
+#> converged
+#> This is Run number 103
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.39749903 0.9712735 -4.69749903 -11.628727 1
+#> 2 1 -0.35 -14.40 0.30610723 2.5063121 -0.04389277 -11.893688 1
+#> 3 1 -12.20 -2.55 -0.36902478 -0.7943563 -12.56902478 -3.344356 2
+#> 4 1 -2.30 -13.70 1.74175623 2.1127153 -0.55824377 -11.587285 1
+#> 5 1 -12.60 -7.80 0.63140237 0.7337173 -11.96859763 -7.066283 2
+#> 6 1 -7.60 -12.40 -0.09024658 2.6757563 -7.69024658 -9.724244 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -72200 13375
+#> initial value 998.131940
+#> iter 2 value 676.136483
+#> iter 3 value 675.919200
+#> iter 4 value 675.820124
+#> iter 5 value 656.132199
+#> iter 6 value 653.999742
+#> iter 7 value 653.952314
+#> iter 8 value 653.952086
+#> iter 8 value 653.952085
+#> final value 653.952085
+#> converged
+#> This is Run number 104
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.03359119 -0.52930492 -4.2664088 -13.129305 1
+#> 2 1 -0.35 -14.40 -0.34189507 1.50888227 -0.6918951 -12.891118 1
+#> 3 1 -12.20 -2.55 0.48262596 -0.69065665 -11.7173740 -3.240657 2
+#> 4 1 -2.30 -13.70 -0.22357868 1.52931704 -2.5235787 -12.170683 1
+#> 5 1 -12.60 -7.80 0.67798276 0.06679331 -11.9220172 -7.733207 2
+#> 6 1 -7.60 -12.40 1.95566076 0.22308639 -5.6443392 -12.176914 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4400 -71800 14075
+#> initial value 998.131940
+#> iter 2 value 678.710627
+#> iter 3 value 678.551348
+#> iter 4 value 678.472417
+#> iter 5 value 658.920465
+#> iter 6 value 656.798674
+#> iter 7 value 656.749475
+#> iter 8 value 656.749192
+#> iter 8 value 656.749190
+#> final value 656.749190
+#> converged
+#> This is Run number 105
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.11641323 1.2644017 -4.416413 -11.335598 1
+#> 2 1 -0.35 -14.40 2.42204919 -0.6387806 2.072049 -15.038781 1
+#> 3 1 -12.20 -2.55 1.04718376 -0.1241774 -11.152816 -2.674177 2
+#> 4 1 -2.30 -13.70 -0.59086782 1.7431289 -2.890868 -11.956871 1
+#> 5 1 -12.60 -7.80 0.07653044 0.3547215 -12.523470 -7.445279 2
+#> 6 1 -7.60 -12.40 1.71940542 3.3807394 -5.880595 -9.019261 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -72325 14400
+#> initial value 998.131940
+#> iter 2 value 673.345553
+#> iter 3 value 673.251652
+#> iter 4 value 673.241555
+#> iter 5 value 653.138484
+#> iter 6 value 650.899058
+#> iter 7 value 650.845864
+#> iter 8 value 650.845561
+#> iter 8 value 650.845559
+#> final value 650.845559
+#> converged
+#> This is Run number 106
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.26656589 -0.63489233 -2.033434 -13.234892 1
+#> 2 1 -0.35 -14.40 -1.40217523 0.71003799 -1.752175 -13.689962 1
+#> 3 1 -12.20 -2.55 1.10462912 -0.56868747 -11.095371 -3.118687 2
+#> 4 1 -2.30 -13.70 -0.03932763 -0.02206243 -2.339328 -13.722062 1
+#> 5 1 -12.60 -7.80 -0.92128902 -0.20867076 -13.521289 -8.008671 2
+#> 6 1 -7.60 -12.40 -0.13219471 1.23098763 -7.732195 -11.169012 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -74275 14575
+#> initial value 998.131940
+#> iter 2 value 655.073504
+#> iter 3 value 655.054880
+#> iter 4 value 655.042685
+#> iter 5 value 632.607797
+#> iter 6 value 629.876183
+#> iter 7 value 629.800350
+#> iter 8 value 629.799849
+#> iter 8 value 629.799845
+#> final value 629.799845
+#> converged
+#> This is Run number 107
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.93350019 -0.1205364 -2.366500 -12.720536 1
+#> 2 1 -0.35 -14.40 1.42314126 1.3030525 1.073141 -13.096947 1
+#> 3 1 -12.20 -2.55 0.06665342 -0.4528119 -12.133347 -3.002812 2
+#> 4 1 -2.30 -13.70 0.89909466 1.4726387 -1.400905 -12.227361 1
+#> 5 1 -12.60 -7.80 -0.19910950 2.3811987 -12.799110 -5.418801 2
+#> 6 1 -7.60 -12.40 0.13605950 1.1180446 -7.463941 -11.281955 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4500 -72650 13800
+#> initial value 998.131940
+#> iter 2 value 671.508476
+#> iter 3 value 671.325537
+#> iter 4 value 671.174179
+#> iter 5 value 650.725836
+#> iter 6 value 648.417175
+#> iter 7 value 648.361430
+#> iter 8 value 648.361089
+#> iter 8 value 648.361087
+#> final value 648.361087
+#> converged
+#> This is Run number 108
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.70330074 0.54435259 -5.003301 -12.055647 1
+#> 2 1 -0.35 -14.40 1.64931377 -0.74298772 1.299314 -15.142988 1
+#> 3 1 -12.20 -2.55 0.03333762 -0.01105715 -12.166662 -2.561057 2
+#> 4 1 -2.30 -13.70 0.13419956 -0.18791217 -2.165800 -13.887912 1
+#> 5 1 -12.60 -7.80 0.64571364 3.97399638 -11.954286 -3.826004 2
+#> 6 1 -7.60 -12.40 -1.24027532 -0.85940458 -8.840275 -13.259405 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5020 -71225 14175
+#> initial value 998.131940
+#> iter 2 value 683.272320
+#> iter 3 value 683.250173
+#> iter 4 value 683.233698
+#> iter 5 value 664.472859
+#> iter 6 value 662.557781
+#> iter 7 value 662.519737
+#> iter 8 value 662.519603
+#> iter 8 value 662.519602
+#> final value 662.519602
+#> converged
+#> This is Run number 109
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.0734510 0.3595417 -5.37345095 -12.240458 1
+#> 2 1 -0.35 -14.40 0.3911422 0.4631792 0.04114218 -13.936821 1
+#> 3 1 -12.20 -2.55 1.3116707 -0.5465668 -10.88832934 -3.096567 2
+#> 4 1 -2.30 -13.70 0.9152754 5.1811230 -1.38472460 -8.518877 1
+#> 5 1 -12.60 -7.80 2.7475845 0.2702410 -9.85241555 -7.529759 2
+#> 6 1 -7.60 -12.40 0.3369158 -0.4229681 -7.26308420 -12.822968 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -73900 14300
+#> initial value 998.131940
+#> iter 2 value 659.257689
+#> iter 3 value 659.225983
+#> iter 4 value 659.111730
+#> iter 5 value 636.839757
+#> iter 6 value 634.131030
+#> iter 7 value 634.052093
+#> iter 8 value 634.051469
+#> iter 8 value 634.051465
+#> final value 634.051465
+#> converged
+#> This is Run number 110
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.5464925 -0.4169938 -3.753507 -13.016994 1
+#> 2 1 -0.35 -14.40 -1.0173049 0.9580342 -1.367305 -13.441966 1
+#> 3 1 -12.20 -2.55 1.2816494 1.0385037 -10.918351 -1.511496 2
+#> 4 1 -2.30 -13.70 -1.0249094 0.4857702 -3.324909 -13.214230 1
+#> 5 1 -12.60 -7.80 0.9851713 0.6783836 -11.614829 -7.121616 2
+#> 6 1 -7.60 -12.40 -0.2341484 -0.4690074 -7.834148 -12.869007 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3880 -72750 15400
+#> initial value 998.131940
+#> iter 2 value 667.997826
+#> iter 3 value 667.544022
+#> iter 4 value 667.246644
+#> iter 5 value 645.553550
+#> iter 6 value 642.897918
+#> iter 7 value 642.815561
+#> iter 8 value 642.814707
+#> iter 8 value 642.814702
+#> final value 642.814702
+#> converged
+#> This is Run number 111
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.8140951 0.176361789 -3.4859049 -12.423638 1
+#> 2 1 -0.35 -14.40 0.5429216 -0.894735661 0.1929216 -15.294736 1
+#> 3 1 -12.20 -2.55 -1.4529724 -0.033090705 -13.6529724 -2.583091 2
+#> 4 1 -2.30 -13.70 -0.7000616 -0.934135417 -3.0000616 -14.634135 1
+#> 5 1 -12.60 -7.80 -0.4479117 0.007912471 -13.0479117 -7.792088 2
+#> 6 1 -7.60 -12.40 -0.3456897 0.114721854 -7.9456897 -12.285278 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -72400 13975
+#> initial value 998.131940
+#> iter 2 value 673.411112
+#> iter 3 value 673.319464
+#> iter 4 value 673.242733
+#> iter 5 value 653.134269
+#> iter 6 value 650.900390
+#> iter 7 value 650.848294
+#> iter 8 value 650.848004
+#> iter 8 value 650.848002
+#> final value 650.848002
+#> converged
+#> This is Run number 112
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.8120569 0.56024844 -3.487943 -12.039752 1
+#> 2 1 -0.35 -14.40 -0.7347272 0.09514803 -1.084727 -14.304852 1
+#> 3 1 -12.20 -2.55 -1.0278936 -0.59487928 -13.227894 -3.144879 2
+#> 4 1 -2.30 -13.70 -0.3693207 2.62079430 -2.669321 -11.079206 1
+#> 5 1 -12.60 -7.80 -1.0011511 3.19653924 -13.601151 -4.603461 2
+#> 6 1 -7.60 -12.40 0.7405706 1.50438547 -6.859429 -10.895615 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5260 -75250 14300
+#> initial value 998.131940
+#> iter 2 value 646.268718
+#> iter 3 value 646.175967
+#> iter 4 value 646.174165
+#> iter 5 value 622.332422
+#> iter 6 value 619.642635
+#> iter 7 value 619.563587
+#> iter 8 value 619.563117
+#> iter 8 value 619.563114
+#> final value 619.563114
+#> converged
+#> This is Run number 113
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.3058185 0.7854495 -2.9941815 -11.814551 1
+#> 2 1 -0.35 -14.40 0.6143389 -0.8003047 0.2643389 -15.200305 1
+#> 3 1 -12.20 -2.55 2.2397891 -0.5771621 -9.9602109 -3.127162 2
+#> 4 1 -2.30 -13.70 -1.0565293 -0.7919461 -3.3565293 -14.491946 1
+#> 5 1 -12.60 -7.80 2.7160394 -1.3791478 -9.8839606 -9.179148 2
+#> 6 1 -7.60 -12.40 -0.0240587 -0.6410415 -7.6240587 -13.041041 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -73600 14675
+#> initial value 998.131940
+#> iter 2 value 661.383296
+#> iter 3 value 661.028290
+#> iter 4 value 661.027488
+#> iter 5 value 639.132654
+#> iter 6 value 636.572805
+#> iter 7 value 636.500080
+#> iter 8 value 636.499507
+#> iter 8 value 636.499503
+#> final value 636.499503
+#> converged
+#> This is Run number 114
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.1394618 0.5641638 -4.4394618 -12.035836 1
+#> 2 1 -0.35 -14.40 0.7864419 0.4070969 0.4364419 -13.992903 1
+#> 3 1 -12.20 -2.55 -1.4121582 0.0882740 -13.6121582 -2.461726 2
+#> 4 1 -2.30 -13.70 -0.5849067 1.3566893 -2.8849067 -12.343311 1
+#> 5 1 -12.60 -7.80 0.6323337 -0.4704774 -11.9676663 -8.270477 2
+#> 6 1 -7.60 -12.40 2.8665927 2.4676598 -4.7334073 -9.932340 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -72575 15775
+#> initial value 998.131940
+#> iter 2 value 668.449388
+#> iter 3 value 668.230833
+#> iter 4 value 668.230599
+#> iter 5 value 645.229884
+#> iter 6 value 644.827084
+#> iter 7 value 644.814556
+#> iter 8 value 644.814513
+#> iter 8 value 644.814513
+#> final value 644.814513
+#> converged
+#> This is Run number 115
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.2733394 -0.5129453 -2.0266606 -13.112945 1
+#> 2 1 -0.35 -14.40 -0.1016089 -1.2142145 -0.4516089 -15.614214 1
+#> 3 1 -12.20 -2.55 2.3199943 3.7423271 -9.8800057 1.192327 2
+#> 4 1 -2.30 -13.70 0.2905330 0.5184933 -2.0094670 -13.181507 1
+#> 5 1 -12.60 -7.80 -1.2706554 0.8240849 -13.8706554 -6.975915 2
+#> 6 1 -7.60 -12.40 -0.2185558 0.8835981 -7.8185558 -11.516402 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -72000 15100
+#> initial value 998.131940
+#> iter 2 value 675.047739
+#> iter 3 value 674.941033
+#> iter 4 value 674.874048
+#> iter 5 value 654.852885
+#> iter 6 value 652.596140
+#> iter 7 value 652.540941
+#> iter 8 value 652.540590
+#> iter 8 value 652.540588
+#> final value 652.540588
+#> converged
+#> This is Run number 116
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.2958736 1.58132221 -4.0041264 -11.018678 1
+#> 2 1 -0.35 -14.40 -0.3347909 0.36117070 -0.6847909 -14.038829 1
+#> 3 1 -12.20 -2.55 1.8438965 -0.22932416 -10.3561035 -2.779324 2
+#> 4 1 -2.30 -13.70 -0.4977674 -0.18293054 -2.7977674 -13.882931 1
+#> 5 1 -12.60 -7.80 0.1913821 -0.06163028 -12.4086179 -7.861630 2
+#> 6 1 -7.60 -12.40 -0.1864274 -0.64881206 -7.7864274 -13.048812 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5460 -71950 13475
+#> initial value 998.131940
+#> iter 2 value 677.721090
+#> iter 3 value 677.472287
+#> iter 4 value 677.318396
+#> iter 5 value 657.952307
+#> iter 6 value 655.931482
+#> iter 7 value 655.890712
+#> iter 8 value 655.890590
+#> iter 8 value 655.890589
+#> final value 655.890589
+#> converged
+#> This is Run number 117
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.5958091 -0.2115411 -4.8958091 -12.8115411 1
+#> 2 1 -0.35 -14.40 1.0224288 -1.3077942 0.6724288 -15.7077942 1
+#> 3 1 -12.20 -2.55 1.5776627 1.7452321 -10.6223373 -0.8047679 2
+#> 4 1 -2.30 -13.70 0.8425263 -0.3646225 -1.4574737 -14.0646225 1
+#> 5 1 -12.60 -7.80 0.9304121 0.7217657 -11.6695879 -7.0782343 2
+#> 6 1 -7.60 -12.40 3.5052583 -0.1066806 -4.0947417 -12.5066806 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4560 -72600 15325
+#> initial value 998.131940
+#> iter 2 value 669.174047
+#> iter 3 value 669.065081
+#> iter 4 value 669.033562
+#> iter 5 value 648.271010
+#> iter 6 value 645.858303
+#> iter 7 value 645.796190
+#> iter 8 value 645.795777
+#> iter 8 value 645.795775
+#> final value 645.795775
+#> converged
+#> This is Run number 118
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.01686325 1.9723953 -4.3168633 -10.627605 1
+#> 2 1 -0.35 -14.40 -0.26945029 1.2631104 -0.6194503 -13.136890 1
+#> 3 1 -12.20 -2.55 -0.64644081 -0.7325113 -12.8464408 -3.282511 2
+#> 4 1 -2.30 -13.70 0.33764667 2.1603476 -1.9623533 -11.539652 1
+#> 5 1 -12.60 -7.80 -0.24137058 0.1776701 -12.8413706 -7.622330 2
+#> 6 1 -7.60 -12.40 1.64146951 1.7113289 -5.9585305 -10.688671 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5020 -72925 14050
+#> initial value 998.131940
+#> iter 2 value 668.300045
+#> iter 3 value 668.249109
+#> iter 4 value 668.248989
+#> iter 5 value 649.652368
+#> iter 6 value 645.404173
+#> iter 7 value 645.280944
+#> iter 8 value 645.279935
+#> iter 8 value 645.279933
+#> final value 645.279933
+#> converged
+#> This is Run number 119
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.02314186 3.1864357 -3.276858 -9.413564 1
+#> 2 1 -0.35 -14.40 1.97827549 2.1288547 1.628275 -12.271145 1
+#> 3 1 -12.20 -2.55 -0.01089579 -0.3880865 -12.210896 -2.938086 2
+#> 4 1 -2.30 -13.70 -1.19276016 0.2639320 -3.492760 -13.436068 1
+#> 5 1 -12.60 -7.80 -0.59933678 2.0043410 -13.199337 -5.795659 2
+#> 6 1 -7.60 -12.40 3.44585848 -0.2813465 -4.154142 -12.681347 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4300 -69325 12350
+#> initial value 998.131940
+#> iter 2 value 703.077172
+#> iter 3 value 702.592668
+#> iter 4 value 702.297247
+#> iter 5 value 685.684783
+#> iter 6 value 684.164067
+#> iter 7 value 684.138338
+#> iter 8 value 684.138250
+#> iter 8 value 684.138250
+#> final value 684.138250
+#> converged
+#> This is Run number 120
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.6328050 1.1832405 -3.6671950 -11.416760 1
+#> 2 1 -0.35 -14.40 1.2450412 2.4975270 0.8950412 -11.902473 1
+#> 3 1 -12.20 -2.55 1.3844440 -0.4999469 -10.8155560 -3.049947 2
+#> 4 1 -2.30 -13.70 1.6480942 1.5101697 -0.6519058 -12.189830 1
+#> 5 1 -12.60 -7.80 2.9311414 1.5250153 -9.6688586 -6.274985 2
+#> 6 1 -7.60 -12.40 0.6463803 -1.1794469 -6.9536197 -13.579447 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -72700 14425
+#> initial value 998.131940
+#> iter 2 value 669.790036
+#> iter 3 value 669.783882
+#> iter 4 value 669.778729
+#> iter 5 value 649.237461
+#> iter 6 value 646.994391
+#> iter 7 value 646.940834
+#> iter 8 value 646.940556
+#> iter 8 value 646.940554
+#> final value 646.940554
+#> converged
+#> This is Run number 121
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.5876236 -0.3711555 -5.8876236 -12.9711555 1
+#> 2 1 -0.35 -14.40 -0.4992206 1.8723490 -0.8492206 -12.5276510 1
+#> 3 1 -12.20 -2.55 -0.1665223 2.6661831 -12.3665223 0.1161831 2
+#> 4 1 -2.30 -13.70 1.1727825 1.6672619 -1.1272175 -12.0327381 1
+#> 5 1 -12.60 -7.80 0.1560600 4.9228132 -12.4439400 -2.8771868 2
+#> 6 1 -7.60 -12.40 3.3114794 0.1734000 -4.2885206 -12.2266000 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5060 -72250 12700
+#> initial value 998.131940
+#> iter 2 value 676.502858
+#> iter 3 value 676.020196
+#> iter 4 value 676.009060
+#> iter 5 value 656.403593
+#> iter 6 value 654.358986
+#> iter 7 value 654.315778
+#> iter 8 value 654.315623
+#> iter 8 value 654.315623
+#> final value 654.315623
+#> converged
+#> This is Run number 122
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.3527615 -0.61299491 -4.6527615 -13.212995 1
+#> 2 1 -0.35 -14.40 -0.4289504 -0.31175597 -0.7789504 -14.711756 1
+#> 3 1 -12.20 -2.55 2.7812069 -1.06483461 -9.4187931 -3.614835 2
+#> 4 1 -2.30 -13.70 0.6262214 0.63769266 -1.6737786 -13.062307 1
+#> 5 1 -12.60 -7.80 1.2493009 0.03583726 -11.3506991 -7.764163 2
+#> 6 1 -7.60 -12.40 1.3995312 -0.80711241 -6.2004688 -13.207112 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5180 -71775 12600
+#> initial value 998.131940
+#> iter 2 value 680.815448
+#> iter 3 value 680.318621
+#> iter 4 value 680.317606
+#> iter 5 value 660.939325
+#> iter 6 value 659.343964
+#> iter 7 value 659.311965
+#> iter 8 value 659.311881
+#> iter 8 value 659.311881
+#> final value 659.311881
+#> converged
+#> This is Run number 123
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.8300159 0.6130601 -3.469984 -11.9869399 1
+#> 2 1 -0.35 -14.40 1.9865207 -0.0271240 1.636521 -14.4271240 1
+#> 3 1 -12.20 -2.55 -0.5713679 2.7838094 -12.771368 0.2338094 2
+#> 4 1 -2.30 -13.70 3.6775099 1.0895166 1.377510 -12.6104834 1
+#> 5 1 -12.60 -7.80 0.2419027 0.1915803 -12.358097 -7.6084197 2
+#> 6 1 -7.60 -12.40 -1.0533573 -1.1461603 -8.653357 -13.5461603 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -75500 14750
+#> initial value 998.131940
+#> iter 2 value 643.390911
+#> iter 3 value 643.329266
+#> iter 4 value 643.319394
+#> iter 5 value 619.128293
+#> iter 6 value 615.904256
+#> iter 7 value 615.801559
+#> iter 8 value 615.800645
+#> iter 8 value 615.800638
+#> final value 615.800638
+#> converged
+#> This is Run number 124
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.0343472 0.06696935 -2.2656528 -12.533031 1
+#> 2 1 -0.35 -14.40 0.7930312 -0.14813359 0.4430312 -14.548134 1
+#> 3 1 -12.20 -2.55 -1.0336850 0.38380674 -13.2336850 -2.166193 2
+#> 4 1 -2.30 -13.70 4.3787394 0.82516982 2.0787394 -12.874830 1
+#> 5 1 -12.60 -7.80 -0.2368961 -0.08164244 -12.8368961 -7.881642 2
+#> 6 1 -7.60 -12.40 0.7670038 -0.06335781 -6.8329962 -12.463358 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4480 -71750 15125
+#> initial value 998.131940
+#> iter 2 value 677.204008
+#> iter 3 value 677.099660
+#> iter 4 value 677.060050
+#> iter 5 value 657.323585
+#> iter 6 value 655.139246
+#> iter 7 value 655.087510
+#> iter 8 value 655.087203
+#> iter 8 value 655.087201
+#> final value 655.087201
+#> converged
+#> This is Run number 125
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.9480504 0.63113886 -2.3519496 -11.968861 1
+#> 2 1 -0.35 -14.40 -0.4139098 0.60639499 -0.7639098 -13.793605 1
+#> 3 1 -12.20 -2.55 1.8511177 -0.72958903 -10.3488823 -3.279589 2
+#> 4 1 -2.30 -13.70 0.7881451 2.75886554 -1.5118549 -10.941134 1
+#> 5 1 -12.60 -7.80 1.0620940 0.01457371 -11.5379060 -7.785426 2
+#> 6 1 -7.60 -12.40 0.1177052 0.09178419 -7.4822948 -12.308216 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5060 -72650 13200
+#> initial value 998.131940
+#> iter 2 value 672.148461
+#> iter 3 value 671.865730
+#> iter 4 value 671.861407
+#> iter 5 value 651.674836
+#> iter 6 value 649.570788
+#> iter 7 value 649.523943
+#> iter 8 value 649.523757
+#> iter 8 value 649.523756
+#> final value 649.523756
+#> converged
+#> This is Run number 126
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.4718394 0.8333491 -3.828161 -11.766651 1
+#> 2 1 -0.35 -14.40 -1.2469715 2.7066545 -1.596972 -11.693345 1
+#> 3 1 -12.20 -2.55 1.9029321 -0.6029090 -10.297068 -3.152909 2
+#> 4 1 -2.30 -13.70 -0.6829532 2.3317704 -2.982953 -11.368230 1
+#> 5 1 -12.60 -7.80 0.1791206 0.5239025 -12.420879 -7.276097 2
+#> 6 1 -7.60 -12.40 -0.2994463 -0.6679973 -7.899446 -13.067997 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3720 -70575 13950
+#> initial value 998.131940
+#> iter 2 value 690.023444
+#> iter 3 value 688.653984
+#> iter 4 value 688.647995
+#> iter 5 value 670.157514
+#> iter 6 value 668.193993
+#> iter 7 value 668.148600
+#> iter 8 value 668.148288
+#> iter 8 value 668.148286
+#> final value 668.148286
+#> converged
+#> This is Run number 127
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.69595597 1.9761707 -4.9959560 -10.623829 1
+#> 2 1 -0.35 -14.40 -0.05584658 1.0961057 -0.4058466 -13.303894 1
+#> 3 1 -12.20 -2.55 1.21020401 0.1311066 -10.9897960 -2.418893 2
+#> 4 1 -2.30 -13.70 -0.05634537 -0.1916744 -2.3563454 -13.891674 1
+#> 5 1 -12.60 -7.80 -0.29799661 -0.1040438 -12.8979966 -7.904044 2
+#> 6 1 -7.60 -12.40 1.31361220 -0.5257167 -6.2863878 -12.925717 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -70250 13950
+#> initial value 998.131940
+#> iter 2 value 692.586657
+#> iter 3 value 692.384122
+#> iter 4 value 692.361330
+#> iter 5 value 674.567197
+#> iter 6 value 672.799311
+#> iter 7 value 672.764570
+#> iter 8 value 672.764412
+#> iter 8 value 672.764411
+#> final value 672.764411
+#> converged
+#> This is Run number 128
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.8078124 -0.09658125 -5.1078124 -12.696581 1
+#> 2 1 -0.35 -14.40 -0.5654914 1.02919874 -0.9154914 -13.370801 1
+#> 3 1 -12.20 -2.55 2.5777218 0.53584502 -9.6222782 -2.014155 2
+#> 4 1 -2.30 -13.70 -0.8243144 2.48364304 -3.1243144 -11.216357 1
+#> 5 1 -12.60 -7.80 0.3162301 -0.04761420 -12.2837699 -7.847614 2
+#> 6 1 -7.60 -12.40 3.2187953 1.11190485 -4.3812047 -11.288095 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5240 -71200 14600
+#> initial value 998.131940
+#> iter 2 value 682.588288
+#> iter 3 value 682.357146
+#> iter 4 value 682.290200
+#> iter 5 value 663.402121
+#> iter 6 value 661.458719
+#> iter 7 value 661.419825
+#> iter 8 value 661.419690
+#> iter 8 value 661.419690
+#> final value 661.419690
+#> converged
+#> This is Run number 129
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1946955 0.2484294 -4.1053045 -12.351571 1
+#> 2 1 -0.35 -14.40 0.6161706 2.7154075 0.2661706 -11.684592 1
+#> 3 1 -12.20 -2.55 1.5662154 -0.1712164 -10.6337846 -2.721216 2
+#> 4 1 -2.30 -13.70 0.1828002 0.8343389 -2.1171998 -12.865661 1
+#> 5 1 -12.60 -7.80 -0.6890782 2.0875693 -13.2890782 -5.712431 2
+#> 6 1 -7.60 -12.40 -0.4944444 1.6751926 -8.0944444 -10.724807 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5160 -73125 14775
+#> initial value 998.131940
+#> iter 2 value 665.108768
+#> iter 3 value 665.036934
+#> iter 4 value 665.028478
+#> iter 5 value 643.974565
+#> iter 6 value 641.558773
+#> iter 7 value 641.499842
+#> iter 8 value 641.499551
+#> iter 8 value 641.499549
+#> final value 641.499549
+#> converged
+#> This is Run number 130
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.59550159 -0.2928421 -4.895502 -12.892842 1
+#> 2 1 -0.35 -14.40 0.08731002 1.2809581 -0.262690 -13.119042 1
+#> 3 1 -12.20 -2.55 -1.03592424 -0.6915395 -13.235924 -3.241540 2
+#> 4 1 -2.30 -13.70 -0.69030870 -0.3917842 -2.990309 -14.091784 1
+#> 5 1 -12.60 -7.80 -0.90165192 -0.3708763 -13.501652 -8.170876 2
+#> 6 1 -7.60 -12.40 0.07552423 -1.4416450 -7.524476 -13.841645 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4960 -72625 15000
+#> initial value 998.131940
+#> iter 2 value 669.338905
+#> iter 3 value 669.306636
+#> iter 4 value 669.289685
+#> iter 5 value 648.704760
+#> iter 6 value 646.388186
+#> iter 7 value 646.332526
+#> iter 8 value 646.332240
+#> iter 8 value 646.332239
+#> final value 646.332239
+#> converged
+#> This is Run number 131
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.66671573 -0.2468050 -2.633284 -12.846805 1
+#> 2 1 -0.35 -14.40 -0.45403897 0.9420127 -0.804039 -13.457987 1
+#> 3 1 -12.20 -2.55 0.64346459 0.1994987 -11.556535 -2.350501 2
+#> 4 1 -2.30 -13.70 0.51353321 0.7940354 -1.786467 -12.905965 1
+#> 5 1 -12.60 -7.80 1.67956001 1.6793512 -10.920440 -6.120649 2
+#> 6 1 -7.60 -12.40 0.02121697 2.4636044 -7.578783 -9.936396 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5280 -71850 14200
+#> initial value 998.131940
+#> iter 2 value 677.521347
+#> iter 3 value 677.513686
+#> iter 4 value 677.451844
+#> iter 5 value 657.880383
+#> iter 6 value 655.833098
+#> iter 7 value 655.789275
+#> iter 8 value 655.789119
+#> iter 8 value 655.789118
+#> final value 655.789118
+#> converged
+#> This is Run number 132
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.27195700 -0.8229435 -3.028043 -13.422944 1
+#> 2 1 -0.35 -14.40 2.05083846 -0.9737533 1.700838 -15.373753 1
+#> 3 1 -12.20 -2.55 1.86296647 3.1218600 -10.337034 0.571860 2
+#> 4 1 -2.30 -13.70 -1.32238323 1.2468620 -3.622383 -12.453138 1
+#> 5 1 -12.60 -7.80 -0.04033131 -0.1606274 -12.640331 -7.960627 2
+#> 6 1 -7.60 -12.40 -0.49740266 0.1819112 -8.097403 -12.218089 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -71400 15425
+#> initial value 998.131940
+#> iter 2 value 679.598340
+#> iter 3 value 679.428531
+#> iter 4 value 679.421828
+#> iter 5 value 659.949195
+#> iter 6 value 657.893219
+#> iter 7 value 657.846942
+#> iter 8 value 657.846714
+#> iter 8 value 657.846713
+#> final value 657.846713
+#> converged
+#> This is Run number 133
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.2301137 1.3813335 -2.0698863 -11.218666 1
+#> 2 1 -0.35 -14.40 3.0421824 4.3859682 2.6921824 -10.014032 1
+#> 3 1 -12.20 -2.55 0.3401594 0.1975197 -11.8598406 -2.352480 2
+#> 4 1 -2.30 -13.70 1.3903424 -0.1889970 -0.9096576 -13.888997 1
+#> 5 1 -12.60 -7.80 -0.6689277 0.5173987 -13.2689277 -7.282601 2
+#> 6 1 -7.60 -12.40 1.4706244 0.5099422 -6.1293756 -11.890058 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4400 -72675 14825
+#> initial value 998.131940
+#> iter 2 value 669.532046
+#> iter 3 value 669.501862
+#> iter 4 value 669.423201
+#> iter 5 value 648.535816
+#> iter 6 value 646.122488
+#> iter 7 value 646.060546
+#> iter 8 value 646.060095
+#> iter 8 value 646.060092
+#> final value 646.060092
+#> converged
+#> This is Run number 134
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2797024 -0.93715702 -4.579702 -13.537157 1
+#> 2 1 -0.35 -14.40 1.3989375 -0.94420222 1.048937 -15.344202 1
+#> 3 1 -12.20 -2.55 0.8054291 -0.51968303 -11.394571 -3.069683 2
+#> 4 1 -2.30 -13.70 -0.7168739 1.03286330 -3.016874 -12.667137 1
+#> 5 1 -12.60 -7.80 0.6481742 -0.02393271 -11.951826 -7.823933 2
+#> 6 1 -7.60 -12.40 2.8647934 0.10867680 -4.735207 -12.291323 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -71375 14125
+#> initial value 998.131940
+#> iter 2 value 682.275002
+#> iter 3 value 682.251390
+#> iter 4 value 682.233474
+#> iter 5 value 663.264948
+#> iter 6 value 661.280833
+#> iter 7 value 661.238416
+#> iter 8 value 661.238215
+#> iter 8 value 661.238213
+#> final value 661.238213
+#> converged
+#> This is Run number 135
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.5901932 1.23332184 -3.70980680 -11.3666782 1
+#> 2 1 -0.35 -14.40 -0.6666257 0.62004942 -1.01662571 -13.7799506 1
+#> 3 1 -12.20 -2.55 0.1371798 1.57595455 -12.06282020 -0.9740454 2
+#> 4 1 -2.30 -13.70 2.2301267 0.01348591 -0.06987327 -13.6865141 1
+#> 5 1 -12.60 -7.80 1.3465959 -1.10422403 -11.25340407 -8.9042240 2
+#> 6 1 -7.60 -12.40 -0.5991287 1.75289318 -8.19912865 -10.6471068 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4500 -73000 15700
+#> initial value 998.131940
+#> iter 2 value 664.852174
+#> iter 3 value 664.650069
+#> iter 4 value 664.605247
+#> iter 5 value 643.190348
+#> iter 6 value 640.601645
+#> iter 7 value 640.530148
+#> iter 8 value 640.529607
+#> iter 8 value 640.529604
+#> final value 640.529604
+#> converged
+#> This is Run number 136
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.29335122 -0.7778691 -4.5933512 -13.377869 1
+#> 2 1 -0.35 -14.40 1.19352672 -0.1634391 0.8435267 -14.563439 1
+#> 3 1 -12.20 -2.55 0.27749259 -0.1262973 -11.9225074 -2.676297 2
+#> 4 1 -2.30 -13.70 1.38655246 0.5995433 -0.9134475 -13.100457 1
+#> 5 1 -12.60 -7.80 0.07778675 -0.3367341 -12.5222133 -8.136734 2
+#> 6 1 -7.60 -12.40 0.33085361 2.2784307 -7.2691464 -10.121569 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3860 -70700 15975
+#> initial value 998.131940
+#> iter 2 value 685.044301
+#> iter 3 value 684.397763
+#> iter 4 value 684.123806
+#> iter 5 value 664.895627
+#> iter 6 value 662.738238
+#> iter 7 value 662.684041
+#> iter 8 value 662.683634
+#> iter 8 value 662.683633
+#> final value 662.683633
+#> converged
+#> This is Run number 137
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.27967966 -0.3290996 -4.579680 -12.929100 1
+#> 2 1 -0.35 -14.40 1.76398824 -1.1529926 1.413988 -15.552993 1
+#> 3 1 -12.20 -2.55 0.49693367 -0.9841467 -11.703066 -3.534147 2
+#> 4 1 -2.30 -13.70 0.75477835 -0.1667406 -1.545222 -13.866741 1
+#> 5 1 -12.60 -7.80 -0.08638537 -1.4111568 -12.686385 -9.211157 2
+#> 6 1 -7.60 -12.40 -0.24008445 2.9252135 -7.840084 -9.474787 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -72150 14975
+#> initial value 998.131940
+#> iter 2 value 673.892390
+#> iter 3 value 673.828824
+#> iter 4 value 673.787577
+#> iter 5 value 653.675703
+#> iter 6 value 651.414429
+#> iter 7 value 651.359568
+#> iter 8 value 651.359234
+#> iter 8 value 651.359232
+#> final value 651.359232
+#> converged
+#> This is Run number 138
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.31744975 -0.60899677 -3.982550 -13.208997 1
+#> 2 1 -0.35 -14.40 -0.88789189 1.96731629 -1.237892 -12.432684 1
+#> 3 1 -12.20 -2.55 -0.01187162 -1.45826246 -12.211872 -4.008262 2
+#> 4 1 -2.30 -13.70 -0.52898896 3.34017318 -2.828989 -10.359827 1
+#> 5 1 -12.60 -7.80 -0.13562281 -0.08463198 -12.735623 -7.884632 2
+#> 6 1 -7.60 -12.40 1.21283234 0.66395931 -6.387168 -11.736041 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4920 -71425 14875
+#> initial value 998.131940
+#> iter 2 value 680.303865
+#> iter 3 value 680.250992
+#> iter 4 value 680.216678
+#> iter 5 value 661.014880
+#> iter 6 value 658.986238
+#> iter 7 value 658.942891
+#> iter 8 value 658.942707
+#> iter 8 value 658.942706
+#> final value 658.942706
+#> converged
+#> This is Run number 139
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.7878248 0.12788872 -5.087825 -12.4721113 1
+#> 2 1 -0.35 -14.40 -0.7671122 -0.02856163 -1.117112 -14.4285616 1
+#> 3 1 -12.20 -2.55 0.1304002 2.93644257 -12.069600 0.3864426 2
+#> 4 1 -2.30 -13.70 -0.7773845 0.56851191 -3.077385 -13.1314881 1
+#> 5 1 -12.60 -7.80 -0.8344096 0.85364481 -13.434410 -6.9463552 2
+#> 6 1 -7.60 -12.40 -1.3177526 2.22243996 -8.917753 -10.1775600 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4480 -70650 14475
+#> initial value 998.131940
+#> iter 2 value 688.099465
+#> iter 3 value 688.065668
+#> iter 4 value 688.036817
+#> iter 5 value 669.714281
+#> iter 6 value 667.848109
+#> iter 7 value 667.809793
+#> iter 8 value 667.809614
+#> iter 8 value 667.809613
+#> final value 667.809613
+#> converged
+#> This is Run number 140
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.7765702 -0.1047593 -3.5234298 -12.704759 1
+#> 2 1 -0.35 -14.40 -0.4351653 0.7506834 -0.7851653 -13.649317 1
+#> 3 1 -12.20 -2.55 -0.3108520 -0.4376633 -12.5108520 -2.987663 2
+#> 4 1 -2.30 -13.70 0.6088211 1.7222420 -1.6911789 -11.977758 1
+#> 5 1 -12.60 -7.80 -0.8233494 1.8325024 -13.4233494 -5.967498 2
+#> 6 1 -7.60 -12.40 1.4469732 -0.1499146 -6.1530268 -12.549915 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5140 -70725 14050
+#> initial value 998.131940
+#> iter 2 value 687.799344
+#> iter 3 value 687.759638
+#> iter 4 value 687.712750
+#> iter 5 value 669.451430
+#> iter 6 value 667.653832
+#> iter 7 value 667.619452
+#> iter 8 value 667.619346
+#> iter 8 value 667.619345
+#> final value 667.619345
+#> converged
+#> This is Run number 141
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.2631652 0.68002772 -3.0368348 -11.91997228 1
+#> 2 1 -0.35 -14.40 2.0737016 -0.08883125 1.7237016 -14.48883125 1
+#> 3 1 -12.20 -2.55 -0.7717540 2.61503756 -12.9717540 0.06503756 2
+#> 4 1 -2.30 -13.70 2.1610654 -0.14422338 -0.1389346 -13.84422338 1
+#> 5 1 -12.60 -7.80 0.5529222 -0.79062249 -12.0470778 -8.59062249 2
+#> 6 1 -7.60 -12.40 0.6372235 0.80660566 -6.9627765 -11.59339434 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -72400 13550
+#> initial value 998.131940
+#> iter 2 value 674.105598
+#> iter 3 value 673.909892
+#> iter 4 value 673.773670
+#> iter 5 value 653.787559
+#> iter 6 value 651.580921
+#> iter 7 value 651.530079
+#> iter 8 value 651.529809
+#> iter 8 value 651.529808
+#> final value 651.529808
+#> converged
+#> This is Run number 142
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.5149659 2.0863645 -4.81496588 -10.513635 1
+#> 2 1 -0.35 -14.40 0.3863056 2.5543798 0.03630558 -11.845620 1
+#> 3 1 -12.20 -2.55 0.8166794 1.4275621 -11.38332059 -1.122438 2
+#> 4 1 -2.30 -13.70 2.7340861 -0.8661054 0.43408607 -14.566105 1
+#> 5 1 -12.60 -7.80 -0.6792844 2.0539064 -13.27928436 -5.746094 2
+#> 6 1 -7.60 -12.40 1.2217170 3.3939853 -6.37828302 -9.006015 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5120 -71000 13425
+#> initial value 998.131940
+#> iter 2 value 686.445726
+#> iter 3 value 686.314381
+#> iter 4 value 686.282576
+#> iter 5 value 667.969789
+#> iter 6 value 666.159432
+#> iter 7 value 666.125430
+#> iter 8 value 666.125329
+#> iter 8 value 666.125329
+#> final value 666.125329
+#> converged
+#> This is Run number 143
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.9654693 -0.6692138 -2.3345307 -13.269214 1
+#> 2 1 -0.35 -14.40 -0.3003094 -0.6559766 -0.6503094 -15.055977 1
+#> 3 1 -12.20 -2.55 1.7764987 0.7943938 -10.4235013 -1.755606 2
+#> 4 1 -2.30 -13.70 1.1770899 3.2047646 -1.1229101 -10.495235 1
+#> 5 1 -12.60 -7.80 0.6746840 0.8663431 -11.9253160 -6.933657 2
+#> 6 1 -7.60 -12.40 2.1272159 0.6782199 -5.4727841 -11.721780 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -73350 14900
+#> initial value 998.131940
+#> iter 2 value 663.210909
+#> iter 3 value 663.165560
+#> iter 4 value 663.107763
+#> iter 5 value 641.501494
+#> iter 6 value 638.909167
+#> iter 7 value 638.839049
+#> iter 8 value 638.838517
+#> iter 8 value 638.838513
+#> final value 638.838513
+#> converged
+#> This is Run number 144
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.1310684 0.6898474 -4.4310684 -11.910153 1
+#> 2 1 -0.35 -14.40 0.2391455 -0.4105565 -0.1108545 -14.810556 1
+#> 3 1 -12.20 -2.55 -0.2647018 0.5893263 -12.4647018 -1.960674 2
+#> 4 1 -2.30 -13.70 -0.1570543 0.9994503 -2.4570543 -12.700550 1
+#> 5 1 -12.60 -7.80 1.4439362 1.6199780 -11.1560638 -6.180022 2
+#> 6 1 -7.60 -12.40 -1.3391717 3.8023081 -8.9391717 -8.597692 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4460 -71925 14125
+#> initial value 998.131940
+#> iter 2 value 677.479978
+#> iter 3 value 677.366412
+#> iter 4 value 677.302252
+#> iter 5 value 657.624527
+#> iter 6 value 655.478583
+#> iter 7 value 655.428582
+#> iter 8 value 655.428298
+#> iter 8 value 655.428296
+#> final value 655.428296
+#> converged
+#> This is Run number 145
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.3041292 0.3649441 -4.6041292 -12.2350559 1
+#> 2 1 -0.35 -14.40 1.0422511 -0.2453480 0.6922511 -14.6453480 1
+#> 3 1 -12.20 -2.55 0.5536114 2.0939022 -11.6463886 -0.4560978 2
+#> 4 1 -2.30 -13.70 0.7049679 -0.1615816 -1.5950321 -13.8615816 1
+#> 5 1 -12.60 -7.80 0.8245243 0.2457567 -11.7754757 -7.5542433 2
+#> 6 1 -7.60 -12.40 0.5956454 -0.2427791 -7.0043546 -12.6427791 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -72425 13750
+#> initial value 998.131940
+#> iter 2 value 673.508269
+#> iter 3 value 673.388935
+#> iter 4 value 673.313461
+#> iter 5 value 653.292576
+#> iter 6 value 651.082929
+#> iter 7 value 651.032108
+#> iter 8 value 651.031846
+#> iter 8 value 651.031844
+#> final value 651.031844
+#> converged
+#> This is Run number 146
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.9101469 1.6795209 -5.210147 -10.920479 1
+#> 2 1 -0.35 -14.40 -0.8579039 1.0242564 -1.207904 -13.375744 1
+#> 3 1 -12.20 -2.55 0.6887534 -0.7528417 -11.511247 -3.302842 2
+#> 4 1 -2.30 -13.70 -0.8099787 -0.6121659 -3.109979 -14.312166 1
+#> 5 1 -12.60 -7.80 -0.2361193 1.1751577 -12.836119 -6.624842 2
+#> 6 1 -7.60 -12.40 1.7102441 -0.1036052 -5.889756 -12.503605 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3700 -68725 14675
+#> initial value 998.131940
+#> iter 2 value 704.635747
+#> iter 3 value 704.263860
+#> iter 4 value 703.975268
+#> iter 5 value 687.055676
+#> iter 6 value 685.433058
+#> iter 7 value 685.400510
+#> iter 8 value 685.400325
+#> iter 8 value 685.400325
+#> final value 685.400325
+#> converged
+#> This is Run number 147
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.7553834 -1.1489860 -6.0553834 -13.7489860 1
+#> 2 1 -0.35 -14.40 2.1778001 -0.1842180 1.8278001 -14.5842180 1
+#> 3 1 -12.20 -2.55 1.1679462 1.8345561 -11.0320538 -0.7154439 2
+#> 4 1 -2.30 -13.70 1.3360072 0.3624138 -0.9639928 -13.3375862 1
+#> 5 1 -12.60 -7.80 0.7760780 -1.1202545 -11.8239220 -8.9202545 2
+#> 6 1 -7.60 -12.40 -0.9404525 1.0275603 -8.5404525 -11.3724397 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -74400 15925
+#> initial value 998.131940
+#> iter 2 value 651.361779
+#> iter 3 value 651.206584
+#> iter 4 value 651.205201
+#> iter 5 value 627.663479
+#> iter 6 value 625.090314
+#> iter 7 value 625.011316
+#> iter 8 value 625.010743
+#> iter 8 value 625.010738
+#> final value 625.010738
+#> converged
+#> This is Run number 148
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.04289817 0.582454082 -4.3428982 -12.017546 1
+#> 2 1 -0.35 -14.40 -0.23261891 2.081979148 -0.5826189 -12.318021 1
+#> 3 1 -12.20 -2.55 -0.08630852 -1.067332344 -12.2863085 -3.617332 2
+#> 4 1 -2.30 -13.70 -0.53131955 -0.008140184 -2.8313196 -13.708140 1
+#> 5 1 -12.60 -7.80 1.28124375 -0.620085952 -11.3187562 -8.420086 2
+#> 6 1 -7.60 -12.40 1.33241610 2.145865358 -6.2675839 -10.254135 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4720 -70500 13325
+#> initial value 998.131940
+#> iter 2 value 691.228978
+#> iter 3 value 691.119049
+#> iter 4 value 691.097348
+#> iter 5 value 673.283978
+#> iter 6 value 671.557995
+#> iter 7 value 671.525923
+#> iter 8 value 671.525811
+#> iter 8 value 671.525810
+#> final value 671.525810
+#> converged
+#> This is Run number 149
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.2902735 0.02694508 -4.009727 -12.5730549 1
+#> 2 1 -0.35 -14.40 2.3176224 -0.10790472 1.967622 -14.5079047 1
+#> 3 1 -12.20 -2.55 -0.3279915 2.12315290 -12.527992 -0.4268471 2
+#> 4 1 -2.30 -13.70 -0.2716400 0.29448761 -2.571640 -13.4055124 1
+#> 5 1 -12.60 -7.80 0.4602302 -0.08540876 -12.139770 -7.8854088 2
+#> 6 1 -7.60 -12.40 0.9480918 2.63116077 -6.651908 -9.7688392 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5080 -70775 14150
+#> initial value 998.131940
+#> iter 2 value 687.228038
+#> iter 3 value 687.149224
+#> iter 4 value 687.121361
+#> iter 5 value 668.845086
+#> iter 6 value 667.027681
+#> iter 7 value 666.992864
+#> iter 8 value 666.992752
+#> iter 8 value 666.992751
+#> final value 666.992751
+#> converged
+#> This is Run number 150
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.65494513 -0.08476067 -3.6450549 -12.684761 1
+#> 2 1 -0.35 -14.40 -0.63763722 2.81818747 -0.9876372 -11.581813 1
+#> 3 1 -12.20 -2.55 1.77293861 -0.92229854 -10.4270614 -3.472299 2
+#> 4 1 -2.30 -13.70 -0.09104909 -0.45126394 -2.3910491 -14.151264 1
+#> 5 1 -12.60 -7.80 0.98786739 -0.80553946 -11.6121326 -8.605539 2
+#> 6 1 -7.60 -12.40 0.63962847 0.14147601 -6.9603715 -12.258524 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -71400 15100
+#> initial value 998.131940
+#> iter 2 value 680.275501
+#> iter 3 value 680.188416
+#> iter 4 value 680.186458
+#> iter 5 value 660.696396
+#> iter 6 value 658.804549
+#> iter 7 value 658.762017
+#> iter 8 value 658.761810
+#> iter 8 value 658.761809
+#> final value 658.761809
+#> converged
+#> This is Run number 151
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.9148443 -0.6365783 -3.385156 -13.236578 1
+#> 2 1 -0.35 -14.40 1.0807910 -0.1083853 0.730791 -14.508385 1
+#> 3 1 -12.20 -2.55 0.7693954 -0.7736653 -11.430605 -3.323665 2
+#> 4 1 -2.30 -13.70 0.8478701 0.3665293 -1.452130 -13.333471 1
+#> 5 1 -12.60 -7.80 0.4562552 1.8355623 -12.143745 -5.964438 2
+#> 6 1 -7.60 -12.40 -0.5091964 2.9186368 -8.109196 -9.481363 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4220 -73225 14050
+#> initial value 998.131940
+#> iter 2 value 666.015403
+#> iter 3 value 665.663513
+#> iter 4 value 665.425616
+#> iter 5 value 643.850421
+#> iter 6 value 641.294885
+#> iter 7 value 641.222126
+#> iter 8 value 641.221530
+#> iter 8 value 641.221526
+#> final value 641.221526
+#> converged
+#> This is Run number 152
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.0026360 0.5978019 -5.3026360 -12.002198 1
+#> 2 1 -0.35 -14.40 -0.4396016 0.7990781 -0.7896016 -13.600922 1
+#> 3 1 -12.20 -2.55 1.3380510 0.3005834 -10.8619490 -2.249417 2
+#> 4 1 -2.30 -13.70 -0.4030157 -0.3320018 -2.7030157 -14.032002 1
+#> 5 1 -12.60 -7.80 1.5794629 1.3540474 -11.0205371 -6.445953 2
+#> 6 1 -7.60 -12.40 -0.6492556 1.3723590 -8.2492556 -11.027641 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4640 -71775 15350
+#> initial value 998.131940
+#> iter 2 value 676.458922
+#> iter 3 value 676.328275
+#> iter 4 value 676.327740
+#> iter 5 value 655.726753
+#> iter 6 value 654.307704
+#> iter 7 value 654.273211
+#> iter 8 value 654.273058
+#> iter 8 value 654.273057
+#> final value 654.273057
+#> converged
+#> This is Run number 153
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.821861609 5.0473604 -5.1218616 -7.552640 1
+#> 2 1 -0.35 -14.40 -0.086994771 2.5697198 -0.4369948 -11.830280 1
+#> 3 1 -12.20 -2.55 0.008440027 0.2978715 -12.1915600 -2.252128 2
+#> 4 1 -2.30 -13.70 0.856807053 1.0950574 -1.4431929 -12.604943 1
+#> 5 1 -12.60 -7.80 -0.728581523 2.9070998 -13.3285815 -4.892900 2
+#> 6 1 -7.60 -12.40 0.502488211 -0.2061979 -7.0975118 -12.606198 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4200 -70750 13550
+#> initial value 998.131940
+#> iter 2 value 688.956529
+#> iter 3 value 688.729153
+#> iter 4 value 688.558517
+#> iter 5 value 670.089216
+#> iter 6 value 668.195598
+#> iter 7 value 668.154685
+#> iter 8 value 668.154464
+#> iter 8 value 668.154462
+#> final value 668.154462
+#> converged
+#> This is Run number 154
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.1223675 -0.67587448 -5.422368 -13.275874 1
+#> 2 1 -0.35 -14.40 -0.8926801 0.83742035 -1.242680 -13.562580 1
+#> 3 1 -12.20 -2.55 -0.8467915 0.60786185 -13.046791 -1.942138 2
+#> 4 1 -2.30 -13.70 -0.7761472 0.02295891 -3.076147 -13.677041 1
+#> 5 1 -12.60 -7.80 -0.3397418 -0.23191003 -12.939742 -8.031910 2
+#> 6 1 -7.60 -12.40 1.4265313 -0.43939890 -6.173469 -12.839399 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4500 -73200 14650
+#> initial value 998.131940
+#> iter 2 value 665.046924
+#> iter 3 value 664.814926
+#> iter 4 value 664.808282
+#> iter 5 value 643.550031
+#> iter 6 value 641.027749
+#> iter 7 value 640.960194
+#> iter 8 value 640.959704
+#> iter 8 value 640.959701
+#> final value 640.959701
+#> converged
+#> This is Run number 155
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.13865679 0.44025251 -3.1613432 -12.159747 1
+#> 2 1 -0.35 -14.40 -0.04448577 -0.87251433 -0.3944858 -15.272514 1
+#> 3 1 -12.20 -2.55 0.74189477 0.21784079 -11.4581052 -2.332159 2
+#> 4 1 -2.30 -13.70 0.11336217 0.08224710 -2.1866378 -13.617753 1
+#> 5 1 -12.60 -7.80 1.50577217 0.01996436 -11.0942278 -7.780036 2
+#> 6 1 -7.60 -12.40 0.76157878 -0.24158888 -6.8384212 -12.641589 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4740 -72150 13925
+#> initial value 998.131940
+#> iter 2 value 675.658545
+#> iter 3 value 675.599570
+#> iter 4 value 675.564129
+#> iter 5 value 655.829991
+#> iter 6 value 653.690768
+#> iter 7 value 653.642883
+#> iter 8 value 653.642650
+#> iter 8 value 653.642648
+#> final value 653.642648
+#> converged
+#> This is Run number 156
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.51269529 -0.2480392 -1.7873047 -12.8480392 1
+#> 2 1 -0.35 -14.40 -0.64826572 2.9491297 -0.9982657 -11.4508703 1
+#> 3 1 -12.20 -2.55 -0.57112629 2.0871048 -12.7711263 -0.4628952 2
+#> 4 1 -2.30 -13.70 0.17935886 1.7286640 -2.1206411 -11.9713360 1
+#> 5 1 -12.60 -7.80 -0.13894136 0.5748695 -12.7389414 -7.2251305 2
+#> 6 1 -7.60 -12.40 -0.08039216 2.3605043 -7.6803922 -10.0394957 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4480 -71175 15675
+#> initial value 998.131940
+#> iter 2 value 681.203849
+#> iter 3 value 680.921110
+#> iter 4 value 680.917804
+#> iter 5 value 661.467890
+#> iter 6 value 659.466560
+#> iter 7 value 659.420323
+#> iter 8 value 659.420074
+#> iter 8 value 659.420072
+#> final value 659.420072
+#> converged
+#> This is Run number 157
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 3.4840357 -0.5201030 -0.8159643 -13.1201030 1
+#> 2 1 -0.35 -14.40 0.1836715 -0.5757444 -0.1663285 -14.9757444 1
+#> 3 1 -12.20 -2.55 -0.3590311 1.7406949 -12.5590311 -0.8093051 2
+#> 4 1 -2.30 -13.70 1.7634622 0.3244887 -0.5365378 -13.3755113 1
+#> 5 1 -12.60 -7.80 3.4325241 -0.9377754 -9.1674759 -8.7377754 2
+#> 6 1 -7.60 -12.40 -0.3466800 -1.0259762 -7.9466800 -13.4259762 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4560 -73275 14700
+#> initial value 998.131940
+#> iter 2 value 664.241485
+#> iter 3 value 664.076954
+#> iter 4 value 664.063122
+#> iter 5 value 642.730604
+#> iter 6 value 640.189107
+#> iter 7 value 640.121211
+#> iter 8 value 640.120726
+#> iter 8 value 640.120723
+#> final value 640.120723
+#> converged
+#> This is Run number 158
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.4874761 -0.8544178 -4.787476 -13.4544178 1
+#> 2 1 -0.35 -14.40 -0.7100143 6.4017214 -1.060014 -7.9982786 1
+#> 3 1 -12.20 -2.55 -0.4079120 2.5144204 -12.607912 -0.0355796 2
+#> 4 1 -2.30 -13.70 0.3303804 1.8183807 -1.969620 -11.8816193 1
+#> 5 1 -12.60 -7.80 1.2311948 2.5134081 -11.368805 -5.2865919 2
+#> 6 1 -7.60 -12.40 0.6682557 1.9263045 -6.931744 -10.4736955 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4120 -72450 15400
+#> initial value 998.131940
+#> iter 2 value 670.595904
+#> iter 3 value 670.305587
+#> iter 4 value 670.051710
+#> iter 5 value 649.186830
+#> iter 6 value 646.695516
+#> iter 7 value 646.626109
+#> iter 8 value 646.625518
+#> iter 8 value 646.625514
+#> final value 646.625514
+#> converged
+#> This is Run number 159
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2295024 0.7629414 -4.5295024 -11.837059 1
+#> 2 1 -0.35 -14.40 -0.5216845 -0.2318673 -0.8716845 -14.631867 1
+#> 3 1 -12.20 -2.55 -0.1303750 -0.2594968 -12.3303750 -2.809497 2
+#> 4 1 -2.30 -13.70 -0.3253398 0.6189729 -2.6253398 -13.081027 1
+#> 5 1 -12.60 -7.80 -0.8969745 -1.4024190 -13.4969745 -9.202419 2
+#> 6 1 -7.60 -12.40 -0.5500227 -1.4433131 -8.1500227 -13.843313 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -71575 12875
+#> initial value 998.131940
+#> iter 2 value 682.377070
+#> iter 3 value 682.041081
+#> iter 4 value 682.010264
+#> iter 5 value 663.141396
+#> iter 6 value 661.212238
+#> iter 7 value 661.173381
+#> iter 8 value 661.173239
+#> iter 8 value 661.173239
+#> final value 661.173239
+#> converged
+#> This is Run number 160
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2435469 3.7533674 -4.54354690 -8.8466326 1
+#> 2 1 -0.35 -14.40 0.3250639 -0.4465334 -0.02493607 -14.8465334 1
+#> 3 1 -12.20 -2.55 0.3005122 2.8853998 -11.89948781 0.3353998 2
+#> 4 1 -2.30 -13.70 -1.0353309 2.7472211 -3.33533090 -10.9527789 1
+#> 5 1 -12.60 -7.80 -0.4022623 0.1709376 -13.00226229 -7.6290624 2
+#> 6 1 -7.60 -12.40 -0.1255575 2.2943141 -7.72555748 -10.1056859 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -72600 14525
+#> initial value 998.131940
+#> iter 2 value 670.765863
+#> iter 3 value 670.442874
+#> iter 4 value 670.435706
+#> iter 5 value 649.881864
+#> iter 6 value 647.514057
+#> iter 7 value 647.453483
+#> iter 8 value 647.453061
+#> iter 8 value 647.453058
+#> final value 647.453058
+#> converged
+#> This is Run number 161
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 5.2974319 0.4552655 0.9974319 -12.1447345 1
+#> 2 1 -0.35 -14.40 -0.9151568 -0.6546598 -1.2651568 -15.0546598 1
+#> 3 1 -12.20 -2.55 -0.1659654 2.0039236 -12.3659654 -0.5460764 2
+#> 4 1 -2.30 -13.70 1.9411675 1.0461812 -0.3588325 -12.6538188 1
+#> 5 1 -12.60 -7.80 1.5759054 2.2645080 -11.0240946 -5.5354920 2
+#> 6 1 -7.60 -12.40 -0.6573767 1.1925002 -8.2573767 -11.2074998 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -71925 15300
+#> initial value 998.131940
+#> iter 2 value 675.421304
+#> iter 3 value 675.216607
+#> iter 4 value 675.074020
+#> iter 5 value 654.980001
+#> iter 6 value 652.681705
+#> iter 7 value 652.623374
+#> iter 8 value 652.622959
+#> iter 8 value 652.622957
+#> final value 652.622957
+#> converged
+#> This is Run number 162
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.5485606 2.3713330 -1.751439 -10.228667 1
+#> 2 1 -0.35 -14.40 -0.9752324 3.4269318 -1.325232 -10.973068 1
+#> 3 1 -12.20 -2.55 -0.5274210 0.1392025 -12.727421 -2.410797 2
+#> 4 1 -2.30 -13.70 -1.4777762 -1.0883913 -3.777776 -14.788391 1
+#> 5 1 -12.60 -7.80 0.8014244 -1.1547255 -11.798576 -8.954726 2
+#> 6 1 -7.60 -12.40 0.7533994 2.0134762 -6.846601 -10.386524 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3760 -70300 14300
+#> initial value 998.131940
+#> iter 2 value 691.793004
+#> iter 3 value 690.972935
+#> iter 4 value 690.765357
+#> iter 5 value 672.469514
+#> iter 6 value 670.561856
+#> iter 7 value 670.519343
+#> iter 8 value 670.519036
+#> iter 8 value 670.519034
+#> final value 670.519034
+#> converged
+#> This is Run number 163
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.4597021 1.2402613 -3.840298 -11.359739 1
+#> 2 1 -0.35 -14.40 -1.3676653 -0.8989451 -1.717665 -15.298945 1
+#> 3 1 -12.20 -2.55 -1.0878410 0.8431786 -13.287841 -1.706821 2
+#> 4 1 -2.30 -13.70 0.1265327 0.1378865 -2.173467 -13.562114 1
+#> 5 1 -12.60 -7.80 -0.8135969 -1.2019778 -13.413597 -9.001978 2
+#> 6 1 -7.60 -12.40 -0.4602961 -0.2363082 -8.060296 -12.636308 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -72325 14850
+#> initial value 998.131940
+#> iter 2 value 672.493514
+#> iter 3 value 672.465082
+#> iter 4 value 672.447353
+#> iter 5 value 652.205988
+#> iter 6 value 649.944219
+#> iter 7 value 649.889757
+#> iter 8 value 649.889444
+#> iter 8 value 649.889442
+#> final value 649.889442
+#> converged
+#> This is Run number 164
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.2348359 1.6509687 -5.5348359 -10.949031 1
+#> 2 1 -0.35 -14.40 -0.1128475 -0.7947628 -0.4628475 -15.194763 1
+#> 3 1 -12.20 -2.55 1.3462656 1.5071632 -10.8537344 -1.042837 2
+#> 4 1 -2.30 -13.70 -0.4561760 0.5365100 -2.7561760 -13.163490 1
+#> 5 1 -12.60 -7.80 0.7002899 1.6520872 -11.8997101 -6.147913 2
+#> 6 1 -7.60 -12.40 0.4383317 -0.2556391 -7.1616683 -12.655639 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -71000 13825
+#> initial value 998.131940
+#> iter 2 value 686.091336
+#> iter 3 value 686.046073
+#> iter 4 value 686.009215
+#> iter 5 value 667.537234
+#> iter 6 value 665.658996
+#> iter 7 value 665.621254
+#> iter 8 value 665.621093
+#> iter 8 value 665.621092
+#> final value 665.621092
+#> converged
+#> This is Run number 165
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.8175715 0.6533270 -3.48242854 -11.946673 1
+#> 2 1 -0.35 -14.40 0.4219446 0.6725856 0.07194459 -13.727414 1
+#> 3 1 -12.20 -2.55 0.2460381 0.7385864 -11.95396193 -1.811414 2
+#> 4 1 -2.30 -13.70 0.4072737 -1.3041778 -1.89272631 -15.004178 1
+#> 5 1 -12.60 -7.80 0.7770256 -0.8187950 -11.82297440 -8.618795 2
+#> 6 1 -7.60 -12.40 1.3113565 1.0973385 -6.28864351 -11.302661 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -71925 14000
+#> initial value 998.131940
+#> iter 2 value 677.663077
+#> iter 3 value 677.578797
+#> iter 4 value 677.557553
+#> iter 5 value 657.887583
+#> iter 6 value 655.761983
+#> iter 7 value 655.714357
+#> iter 8 value 655.714099
+#> iter 8 value 655.714097
+#> final value 655.714097
+#> converged
+#> This is Run number 166
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.4452365 -0.564918016 -3.854763 -13.164918 1
+#> 2 1 -0.35 -14.40 1.3299940 -0.458718858 0.979994 -14.858719 1
+#> 3 1 -12.20 -2.55 0.3326553 -0.339802038 -11.867345 -2.889802 2
+#> 4 1 -2.30 -13.70 -0.6755814 -0.119068367 -2.975581 -13.819068 1
+#> 5 1 -12.60 -7.80 1.2631513 -0.002986249 -11.336849 -7.802986 2
+#> 6 1 -7.60 -12.40 0.1578207 -0.215374304 -7.442179 -12.615374 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -71100 14375
+#> initial value 998.131940
+#> iter 2 value 684.303517
+#> iter 3 value 684.277306
+#> iter 4 value 684.259542
+#> iter 5 value 665.492578
+#> iter 6 value 663.544876
+#> iter 7 value 663.504041
+#> iter 8 value 663.503844
+#> iter 8 value 663.503842
+#> final value 663.503842
+#> converged
+#> This is Run number 167
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.33702985 0.08161181 -3.962970 -12.518388 1
+#> 2 1 -0.35 -14.40 2.76420299 -0.23664615 2.414203 -14.636646 1
+#> 3 1 -12.20 -2.55 1.05472728 0.41738433 -11.145273 -2.132616 2
+#> 4 1 -2.30 -13.70 -0.09981151 1.97483352 -2.399812 -11.725166 1
+#> 5 1 -12.60 -7.80 1.04327900 1.08478203 -11.556721 -6.715218 2
+#> 6 1 -7.60 -12.40 3.22683735 0.93740441 -4.373163 -11.462596 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5240 -71975 14675
+#> initial value 998.131940
+#> iter 2 value 675.585355
+#> iter 3 value 675.391502
+#> iter 4 value 675.351973
+#> iter 5 value 655.629710
+#> iter 6 value 653.505527
+#> iter 7 value 653.459620
+#> iter 8 value 653.459440
+#> iter 8 value 653.459439
+#> final value 653.459439
+#> converged
+#> This is Run number 168
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.3281997 -0.49019446 -2.9718003 -13.090194 1
+#> 2 1 -0.35 -14.40 0.7256436 -1.09597421 0.3756436 -15.495974 1
+#> 3 1 -12.20 -2.55 1.4115340 0.87407192 -10.7884660 -1.675928 2
+#> 4 1 -2.30 -13.70 -0.2659431 0.09060749 -2.5659431 -13.609393 1
+#> 5 1 -12.60 -7.80 0.4342076 0.77153565 -12.1657924 -7.028464 2
+#> 6 1 -7.60 -12.40 -0.9953813 0.11850567 -8.5953813 -12.281494 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5240 -71175 14225
+#> initial value 998.131940
+#> iter 2 value 683.479791
+#> iter 3 value 683.295933
+#> iter 4 value 683.249194
+#> iter 5 value 664.527198
+#> iter 6 value 662.623059
+#> iter 7 value 662.585458
+#> iter 8 value 662.585337
+#> iter 8 value 662.585337
+#> final value 662.585337
+#> converged
+#> This is Run number 169
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.8429311 0.2084134 -2.4570689 -12.391587 1
+#> 2 1 -0.35 -14.40 -0.3761201 0.2004885 -0.7261201 -14.199512 1
+#> 3 1 -12.20 -2.55 -0.9279235 0.1594229 -13.1279235 -2.390577 2
+#> 4 1 -2.30 -13.70 1.0642054 0.7053981 -1.2357946 -12.994602 1
+#> 5 1 -12.60 -7.80 2.8589646 -0.7925651 -9.7410354 -8.592565 2
+#> 6 1 -7.60 -12.40 0.4572408 -1.7414903 -7.1427592 -14.141490 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -73275 14125
+#> initial value 998.131940
+#> iter 2 value 665.126207
+#> iter 3 value 665.061457
+#> iter 4 value 665.017996
+#> iter 5 value 643.932004
+#> iter 6 value 641.485130
+#> iter 7 value 641.423754
+#> iter 8 value 641.423397
+#> iter 8 value 641.423394
+#> final value 641.423394
+#> converged
+#> This is Run number 170
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.3614052 -1.0454146 -4.66140518 -13.645415 1
+#> 2 1 -0.35 -14.40 0.3223096 0.4866570 -0.02769045 -13.913343 1
+#> 3 1 -12.20 -2.55 1.0165134 0.4122403 -11.18348661 -2.137760 2
+#> 4 1 -2.30 -13.70 3.4910452 1.6543241 1.19104520 -12.045676 1
+#> 5 1 -12.60 -7.80 -0.6799073 3.8709823 -13.27990726 -3.929018 2
+#> 6 1 -7.60 -12.40 -0.2897774 1.8086352 -7.88977740 -10.591365 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4060 -72425 14750
+#> initial value 998.131940
+#> iter 2 value 672.082404
+#> iter 3 value 671.601913
+#> iter 4 value 671.413582
+#> iter 5 value 650.708368
+#> iter 6 value 648.290722
+#> iter 7 value 648.226183
+#> iter 8 value 648.225618
+#> iter 8 value 648.225614
+#> final value 648.225614
+#> converged
+#> This is Run number 171
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.9283484 2.4941883 -3.371652 -10.105812 1
+#> 2 1 -0.35 -14.40 -0.9516003 -0.4211836 -1.301600 -14.821184 1
+#> 3 1 -12.20 -2.55 -0.6193483 -0.2284467 -12.819348 -2.778447 2
+#> 4 1 -2.30 -13.70 1.0881934 0.5153753 -1.211807 -13.184625 1
+#> 5 1 -12.60 -7.80 1.2078207 0.5453656 -11.392179 -7.254634 2
+#> 6 1 -7.60 -12.40 3.4553326 -0.4327057 -4.144667 -12.832706 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4460 -72875 13825
+#> initial value 998.131940
+#> iter 2 value 669.454174
+#> iter 3 value 669.242871
+#> iter 4 value 669.085258
+#> iter 5 value 648.291673
+#> iter 6 value 645.911378
+#> iter 7 value 645.852125
+#> iter 8 value 645.851737
+#> iter 8 value 645.851734
+#> final value 645.851734
+#> converged
+#> This is Run number 172
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.4380081 2.5579731 -3.861992 -10.042027 1
+#> 2 1 -0.35 -14.40 1.4385517 -0.4677201 1.088552 -14.867720 1
+#> 3 1 -12.20 -2.55 2.3440536 0.5655840 -9.855946 -1.984416 2
+#> 4 1 -2.30 -13.70 -0.3798884 1.8856666 -2.679888 -11.814333 1
+#> 5 1 -12.60 -7.80 -0.4209000 1.2172323 -13.020900 -6.582768 2
+#> 6 1 -7.60 -12.40 -0.1687302 3.2458947 -7.768730 -9.154105 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4220 -70725 14825
+#> initial value 998.131940
+#> iter 2 value 686.933835
+#> iter 3 value 686.791147
+#> iter 4 value 686.669429
+#> iter 5 value 668.047829
+#> iter 6 value 666.087206
+#> iter 7 value 666.043922
+#> iter 8 value 666.043672
+#> iter 8 value 666.043671
+#> final value 666.043671
+#> converged
+#> This is Run number 173
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.3698790 -1.00197488 -3.9301210 -13.601975 1
+#> 2 1 -0.35 -14.40 1.2888287 -0.89792293 0.9388287 -15.297923 1
+#> 3 1 -12.20 -2.55 0.7671839 1.51365202 -11.4328161 -1.036348 2
+#> 4 1 -2.30 -13.70 1.0929633 1.02563537 -1.2070367 -12.674365 1
+#> 5 1 -12.60 -7.80 -1.5396368 0.28486715 -14.1396368 -7.515133 2
+#> 6 1 -7.60 -12.40 2.4313707 0.06493235 -5.1686293 -12.335068 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5060 -74050 13975
+#> initial value 998.131940
+#> iter 2 value 658.121526
+#> iter 3 value 658.008689
+#> iter 4 value 658.002734
+#> iter 5 value 635.995748
+#> iter 6 value 633.444708
+#> iter 7 value 633.377819
+#> iter 8 value 633.377448
+#> iter 8 value 633.377446
+#> final value 633.377446
+#> converged
+#> This is Run number 174
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.0738348 -0.4832298 -4.3738348 -13.083230 1
+#> 2 1 -0.35 -14.40 -0.1450632 -1.0931309 -0.4950632 -15.493131 1
+#> 3 1 -12.20 -2.55 -0.5989270 -0.6010766 -12.7989270 -3.151077 2
+#> 4 1 -2.30 -13.70 2.4668510 1.3890932 0.1668510 -12.310907 1
+#> 5 1 -12.60 -7.80 0.6138884 -0.2477561 -11.9861116 -8.047756 2
+#> 6 1 -7.60 -12.40 1.2929868 1.4813674 -6.3070132 -10.918633 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4500 -69900 14750
+#> initial value 998.131940
+#> iter 2 value 694.091043
+#> iter 3 value 694.017458
+#> iter 4 value 694.013313
+#> iter 5 value 676.318001
+#> iter 6 value 674.652764
+#> iter 7 value 674.620761
+#> iter 8 value 674.620632
+#> iter 8 value 674.620631
+#> final value 674.620631
+#> converged
+#> This is Run number 175
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.1240418 -0.43566497 -3.175958 -13.035665 1
+#> 2 1 -0.35 -14.40 5.5288426 -0.19438872 5.178843 -14.594389 1
+#> 3 1 -12.20 -2.55 0.5795129 -0.18231886 -11.620487 -2.732319 2
+#> 4 1 -2.30 -13.70 1.4069420 -0.09548331 -0.893058 -13.795483 1
+#> 5 1 -12.60 -7.80 0.1577814 2.28395018 -12.442219 -5.516050 2
+#> 6 1 -7.60 -12.40 1.7066830 -1.12353553 -5.893317 -13.523536 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4640 -71950 15925
+#> initial value 998.131940
+#> iter 2 value 673.747294
+#> iter 3 value 673.428578
+#> iter 4 value 673.425546
+#> iter 5 value 653.018309
+#> iter 6 value 650.839522
+#> iter 7 value 650.785603
+#> iter 8 value 650.785296
+#> iter 8 value 650.785294
+#> final value 650.785294
+#> converged
+#> This is Run number 176
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.5344707 2.893220278 -3.7655293 -9.7067797 1
+#> 2 1 -0.35 -14.40 -0.1001746 0.002601313 -0.4501746 -14.3973987 1
+#> 3 1 -12.20 -2.55 3.3116481 3.219763768 -8.8883519 0.6697638 2
+#> 4 1 -2.30 -13.70 0.2867954 0.071779453 -2.0132046 -13.6282205 1
+#> 5 1 -12.60 -7.80 -0.8689551 2.093878204 -13.4689551 -5.7061218 2
+#> 6 1 -7.60 -12.40 0.1123852 -0.965635679 -7.4876148 -13.3656357 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -73125 13575
+#> initial value 998.131940
+#> iter 2 value 667.489516
+#> iter 3 value 667.251216
+#> iter 4 value 667.091586
+#> iter 5 value 646.250927
+#> iter 6 value 643.850964
+#> iter 7 value 643.791585
+#> iter 8 value 643.791235
+#> iter 8 value 643.791233
+#> final value 643.791233
+#> converged
+#> This is Run number 177
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 6.0495728806 -0.75325216 1.7495729 -13.353252 1
+#> 2 1 -0.35 -14.40 0.0006020643 -0.74820965 -0.3493979 -15.148210 1
+#> 3 1 -12.20 -2.55 -0.3408721982 -1.08943176 -12.5408722 -3.639432 2
+#> 4 1 -2.30 -13.70 0.8855251633 3.21105486 -1.4144748 -10.488945 1
+#> 5 1 -12.60 -7.80 0.8419394891 0.75396633 -11.7580605 -7.046034 2
+#> 6 1 -7.60 -12.40 -0.3503741924 0.01516449 -7.9503742 -12.384836 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4860 -72600 14425
+#> initial value 998.131940
+#> iter 2 value 670.679595
+#> iter 3 value 670.675703
+#> iter 4 value 670.673368
+#> iter 5 value 650.147010
+#> iter 6 value 648.036215
+#> iter 7 value 647.986212
+#> iter 8 value 647.985966
+#> iter 8 value 647.985964
+#> final value 647.985964
+#> converged
+#> This is Run number 178
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.9641491 0.5281901 -2.3358509 -12.071810 1
+#> 2 1 -0.35 -14.40 0.4897146 -1.6326573 0.1397146 -16.032657 1
+#> 3 1 -12.20 -2.55 -0.2257871 -0.9102459 -12.4257871 -3.460246 2
+#> 4 1 -2.30 -13.70 -0.5541478 0.1980266 -2.8541478 -13.501973 1
+#> 5 1 -12.60 -7.80 2.6080685 1.5473935 -9.9919315 -6.252606 2
+#> 6 1 -7.60 -12.40 2.1890443 -0.2296479 -5.4109557 -12.629648 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5480 -72750 13025
+#> initial value 998.131940
+#> iter 2 value 671.229481
+#> iter 3 value 670.790578
+#> iter 4 value 670.715645
+#> iter 5 value 650.539239
+#> iter 6 value 648.354194
+#> iter 7 value 648.307072
+#> iter 8 value 648.306918
+#> iter 8 value 648.306918
+#> final value 648.306918
+#> converged
+#> This is Run number 179
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.90047215 1.39495942 -1.3995279 -11.205041 1
+#> 2 1 -0.35 -14.40 0.97550486 0.60101798 0.6255049 -13.798982 1
+#> 3 1 -12.20 -2.55 1.73101428 -0.28785871 -10.4689857 -2.837859 2
+#> 4 1 -2.30 -13.70 0.88587653 -0.37628206 -1.4141235 -14.076282 1
+#> 5 1 -12.60 -7.80 -0.05308007 2.61023398 -12.6530801 -5.189766 2
+#> 6 1 -7.60 -12.40 0.17176256 0.05533729 -7.4282374 -12.344663 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5180 -74475 14650
+#> initial value 998.131940
+#> iter 2 value 652.934116
+#> iter 3 value 652.916463
+#> iter 4 value 652.906944
+#> iter 5 value 630.227043
+#> iter 6 value 627.471942
+#> iter 7 value 627.395911
+#> iter 8 value 627.395455
+#> iter 8 value 627.395453
+#> final value 627.395453
+#> converged
+#> This is Run number 180
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.05214318 -0.11964450 -4.2478568 -12.719644 1
+#> 2 1 -0.35 -14.40 0.99769139 0.07999073 0.6476914 -14.320009 1
+#> 3 1 -12.20 -2.55 -1.16275431 0.03438260 -13.3627543 -2.515617 2
+#> 4 1 -2.30 -13.70 0.16491537 -0.41033874 -2.1350846 -14.110339 1
+#> 5 1 -12.60 -7.80 3.05647388 1.50520642 -9.5435261 -6.294794 2
+#> 6 1 -7.60 -12.40 0.66459145 0.76814280 -6.9354085 -11.631857 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -73425 14800
+#> initial value 998.131940
+#> iter 2 value 662.508614
+#> iter 3 value 662.506260
+#> iter 4 value 662.504107
+#> iter 5 value 640.874028
+#> iter 6 value 638.516589
+#> iter 7 value 638.454985
+#> iter 8 value 638.454625
+#> iter 8 value 638.454623
+#> final value 638.454623
+#> converged
+#> This is Run number 181
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.749991884 0.1716860 -5.0499919 -12.428314 1
+#> 2 1 -0.35 -14.40 -0.003151649 0.9543391 -0.3531516 -13.445661 1
+#> 3 1 -12.20 -2.55 -0.463808893 -0.5969612 -12.6638089 -3.146961 2
+#> 4 1 -2.30 -13.70 0.977843027 -0.5675054 -1.3221570 -14.267505 1
+#> 5 1 -12.60 -7.80 -0.122266975 0.5696840 -12.7222670 -7.230316 2
+#> 6 1 -7.60 -12.40 -0.195137021 3.5229751 -7.7951370 -8.877025 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3860 -71250 13750
+#> initial value 998.131940
+#> iter 2 value 684.382103
+#> iter 3 value 683.394276
+#> iter 4 value 683.140283
+#> iter 5 value 663.957798
+#> iter 6 value 661.877383
+#> iter 7 value 661.827510
+#> iter 8 value 661.827162
+#> iter 8 value 661.827161
+#> final value 661.827161
+#> converged
+#> This is Run number 182
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.2738517 -1.31784171 -3.026148 -13.917842 1
+#> 2 1 -0.35 -14.40 -0.4704680 3.68567596 -0.820468 -10.714324 1
+#> 3 1 -12.20 -2.55 -0.3124323 0.41598403 -12.512432 -2.134016 2
+#> 4 1 -2.30 -13.70 -0.0735760 -0.06761426 -2.373576 -13.767614 1
+#> 5 1 -12.60 -7.80 0.9054589 -0.90747055 -11.694541 -8.707471 2
+#> 6 1 -7.60 -12.40 1.7348010 -1.68827831 -5.865199 -14.088278 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4140 -72300 14325
+#> initial value 998.131940
+#> iter 2 value 673.934233
+#> iter 3 value 673.230535
+#> iter 4 value 673.223485
+#> iter 5 value 652.946130
+#> iter 6 value 650.618900
+#> iter 7 value 650.558949
+#> iter 8 value 650.558504
+#> iter 8 value 650.558501
+#> final value 650.558501
+#> converged
+#> This is Run number 183
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.5808940 0.6124367 -2.719106 -11.987563 1
+#> 2 1 -0.35 -14.40 3.7815482 0.4584488 3.431548 -13.941551 1
+#> 3 1 -12.20 -2.55 -0.8661325 0.9268250 -13.066132 -1.623175 2
+#> 4 1 -2.30 -13.70 0.2307138 1.6081313 -2.069286 -12.091869 1
+#> 5 1 -12.60 -7.80 1.4005868 1.1805376 -11.199413 -6.619462 2
+#> 6 1 -7.60 -12.40 2.3352601 0.7636837 -5.264740 -11.636316 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5160 -73850 14150
+#> initial value 998.131940
+#> iter 2 value 659.599848
+#> iter 3 value 659.530718
+#> iter 4 value 659.526977
+#> iter 5 value 637.690469
+#> iter 6 value 635.244301
+#> iter 7 value 635.181745
+#> iter 8 value 635.181428
+#> iter 8 value 635.181426
+#> final value 635.181426
+#> converged
+#> This is Run number 184
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.2297476 0.25701787 -4.0702524 -12.34298213 1
+#> 2 1 -0.35 -14.40 1.6718183 2.55123179 1.3218183 -11.84876821 1
+#> 3 1 -12.20 -2.55 1.4093526 2.49976412 -10.7906474 -0.05023588 2
+#> 4 1 -2.30 -13.70 1.9546575 -0.09858141 -0.3453425 -13.79858141 1
+#> 5 1 -12.60 -7.80 -0.9685755 1.33644981 -13.5685755 -6.46355019 2
+#> 6 1 -7.60 -12.40 -0.9918344 -0.24274777 -8.5918344 -12.64274777 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5240 -72575 14850
+#> initial value 998.131940
+#> iter 2 value 669.888161
+#> iter 3 value 669.777076
+#> iter 4 value 669.722056
+#> iter 5 value 649.232005
+#> iter 6 value 646.945146
+#> iter 7 value 646.892518
+#> iter 8 value 646.892285
+#> iter 8 value 646.892283
+#> final value 646.892283
+#> converged
+#> This is Run number 185
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.5988771 2.81305283 -4.8988771 -9.786947 1
+#> 2 1 -0.35 -14.40 -0.6040073 0.10800937 -0.9540073 -14.291991 1
+#> 3 1 -12.20 -2.55 0.2491819 -0.04906888 -11.9508181 -2.599069 2
+#> 4 1 -2.30 -13.70 0.3214610 1.23787339 -1.9785390 -12.462127 1
+#> 5 1 -12.60 -7.80 -1.3457159 -0.36002373 -13.9457159 -8.160024 2
+#> 6 1 -7.60 -12.40 0.6380026 0.23291966 -6.9619974 -12.167080 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -69000 14425
+#> initial value 998.131940
+#> iter 2 value 702.367378
+#> iter 3 value 702.326555
+#> iter 4 value 702.326449
+#> iter 5 value 686.326736
+#> iter 6 value 684.182564
+#> iter 7 value 684.141652
+#> iter 8 value 684.141516
+#> iter 8 value 684.141515
+#> final value 684.141515
+#> converged
+#> This is Run number 186
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.9272793 2.276843670 -3.3727207 -10.323156 1
+#> 2 1 -0.35 -14.40 -0.2243103 1.649060645 -0.5743103 -12.750939 1
+#> 3 1 -12.20 -2.55 0.8018977 -0.410342961 -11.3981023 -2.960343 2
+#> 4 1 -2.30 -13.70 -1.4351246 0.006288613 -3.7351246 -13.693711 1
+#> 5 1 -12.60 -7.80 0.6503819 2.326113804 -11.9496181 -5.473886 2
+#> 6 1 -7.60 -12.40 1.5584328 -1.602242403 -6.0415672 -14.002242 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -72225 15500
+#> initial value 998.131940
+#> iter 2 value 672.047673
+#> iter 3 value 671.899134
+#> iter 4 value 671.883881
+#> iter 5 value 651.519515
+#> iter 6 value 649.235278
+#> iter 7 value 649.180201
+#> iter 8 value 649.179904
+#> iter 8 value 649.179902
+#> final value 649.179902
+#> converged
+#> This is Run number 187
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.5423909 0.005875801 -1.7576091 -12.594124 1
+#> 2 1 -0.35 -14.40 -0.2936793 -1.169667656 -0.6436793 -15.569668 1
+#> 3 1 -12.20 -2.55 1.1612433 0.457876061 -11.0387567 -2.092124 2
+#> 4 1 -2.30 -13.70 0.6786031 0.392409445 -1.6213969 -13.307591 1
+#> 5 1 -12.60 -7.80 3.1700242 -1.536989522 -9.4299758 -9.336990 2
+#> 6 1 -7.60 -12.40 4.0281846 2.716171772 -3.5718154 -9.683828 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4980 -73200 13875
+#> initial value 998.131940
+#> iter 2 value 666.124897
+#> iter 3 value 666.027299
+#> iter 4 value 666.020224
+#> iter 5 value 645.078002
+#> iter 6 value 642.748855
+#> iter 7 value 642.692496
+#> iter 8 value 642.692215
+#> iter 8 value 642.692213
+#> final value 642.692213
+#> converged
+#> This is Run number 188
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.22839345 1.7004098 -2.07160655 -10.8995902 1
+#> 2 1 -0.35 -14.40 0.37287216 -1.0303412 0.02287216 -15.4303412 1
+#> 3 1 -12.20 -2.55 -0.58745591 1.9151942 -12.78745591 -0.6348058 2
+#> 4 1 -2.30 -13.70 0.69827971 -0.5765911 -1.60172029 -14.2765911 1
+#> 5 1 -12.60 -7.80 0.12104353 0.7520911 -12.47895647 -7.0479089 2
+#> 6 1 -7.60 -12.40 0.07076168 0.6134449 -7.52923832 -11.7865551 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5680 -73950 14800
+#> initial value 998.131940
+#> iter 2 value 657.155368
+#> iter 3 value 656.612118
+#> iter 4 value 656.554184
+#> iter 5 value 634.471254
+#> iter 6 value 631.825587
+#> iter 7 value 631.757845
+#> iter 8 value 631.757536
+#> iter 8 value 631.757534
+#> final value 631.757534
+#> converged
+#> This is Run number 189
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.7727978 0.6175198 -3.5272022 -11.982480 1
+#> 2 1 -0.35 -14.40 -0.2806579 1.0294581 -0.6306579 -13.370542 1
+#> 3 1 -12.20 -2.55 0.3435759 -0.7410388 -11.8564241 -3.291039 2
+#> 4 1 -2.30 -13.70 1.4601184 -0.7228377 -0.8398816 -14.422838 1
+#> 5 1 -12.60 -7.80 2.6726286 1.3894906 -9.9273714 -6.410509 2
+#> 6 1 -7.60 -12.40 1.4117293 -0.2026631 -6.1882707 -12.602663 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4100 -73075 16200
+#> initial value 998.131940
+#> iter 2 value 663.339869
+#> iter 3 value 662.812692
+#> iter 4 value 662.560776
+#> iter 5 value 640.614485
+#> iter 6 value 637.819222
+#> iter 7 value 637.732614
+#> iter 8 value 637.731753
+#> iter 8 value 637.731748
+#> final value 637.731748
+#> converged
+#> This is Run number 190
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 3.0653474 1.1185379 -1.2346526 -11.481462 1
+#> 2 1 -0.35 -14.40 1.2831299 0.4215797 0.9331299 -13.978420 1
+#> 3 1 -12.20 -2.55 2.3688387 -0.6182880 -9.8311613 -3.168288 2
+#> 4 1 -2.30 -13.70 0.6372503 0.7208550 -1.6627497 -12.979145 1
+#> 5 1 -12.60 -7.80 -0.7765725 -1.2153358 -13.3765725 -9.015336 2
+#> 6 1 -7.60 -12.40 0.6714277 -1.3280204 -6.9285723 -13.728020 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4900 -70400 15150
+#> initial value 998.131940
+#> iter 2 value 688.773229
+#> iter 3 value 688.598418
+#> iter 4 value 688.503060
+#> iter 5 value 670.255493
+#> iter 6 value 668.410390
+#> iter 7 value 668.373936
+#> iter 8 value 668.373801
+#> iter 8 value 668.373800
+#> final value 668.373800
+#> converged
+#> This is Run number 191
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.6664173 0.4445357 -4.9664173 -12.155464 1
+#> 2 1 -0.35 -14.40 0.1716838 -0.2625808 -0.1783162 -14.662581 1
+#> 3 1 -12.20 -2.55 0.0446696 1.8145580 -12.1553304 -0.735442 2
+#> 4 1 -2.30 -13.70 -0.2891879 1.5228773 -2.5891879 -12.177123 1
+#> 5 1 -12.60 -7.80 2.6119965 -0.5238110 -9.9880035 -8.323811 2
+#> 6 1 -7.60 -12.40 2.6802119 -1.1392455 -4.9197881 -13.539246 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4280 -71475 13150
+#> initial value 998.131940
+#> iter 2 value 683.171092
+#> iter 3 value 682.779328
+#> iter 4 value 682.448197
+#> iter 5 value 663.336608
+#> iter 6 value 661.323898
+#> iter 7 value 661.280156
+#> iter 8 value 661.279918
+#> iter 8 value 661.279916
+#> final value 661.279916
+#> converged
+#> This is Run number 192
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.8070341 -0.23921061 -3.4929659 -12.839211 1
+#> 2 1 -0.35 -14.40 0.9510729 0.80663126 0.6010729 -13.593369 1
+#> 3 1 -12.20 -2.55 -1.1806149 0.02460263 -13.3806149 -2.525397 2
+#> 4 1 -2.30 -13.70 0.5717958 -0.15409589 -1.7282042 -13.854096 1
+#> 5 1 -12.60 -7.80 -1.4479273 0.19828094 -14.0479273 -7.601719 2
+#> 6 1 -7.60 -12.40 0.2456012 0.34832708 -7.3543988 -12.051673 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -68950 13475
+#> initial value 998.131940
+#> iter 2 value 704.678673
+#> iter 3 value 704.338867
+#> iter 4 value 704.217211
+#> iter 5 value 687.669358
+#> iter 6 value 686.145667
+#> iter 7 value 686.118492
+#> iter 8 value 686.118378
+#> iter 8 value 686.118377
+#> final value 686.118377
+#> converged
+#> This is Run number 193
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.08687984 4.75376298 -4.2131202 -7.846237 1
+#> 2 1 -0.35 -14.40 -0.47240503 -0.92852738 -0.8224050 -15.328527 1
+#> 3 1 -12.20 -2.55 -1.04552283 -0.01956414 -13.2455228 -2.569564 2
+#> 4 1 -2.30 -13.70 2.43387908 1.24608988 0.1338791 -12.453910 1
+#> 5 1 -12.60 -7.80 -0.02253653 1.34992089 -12.6225365 -6.450079 2
+#> 6 1 -7.60 -12.40 2.84442334 1.30233007 -4.7555767 -11.097670 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4900 -71275 14175
+#> initial value 998.131940
+#> iter 2 value 682.906700
+#> iter 3 value 682.900053
+#> iter 4 value 682.894949
+#> iter 5 value 664.036754
+#> iter 6 value 662.156518
+#> iter 7 value 662.118273
+#> iter 8 value 662.118128
+#> iter 8 value 662.118127
+#> final value 662.118127
+#> converged
+#> This is Run number 194
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.1008262 -0.59816807 -3.199174 -13.198168 1
+#> 2 1 -0.35 -14.40 -0.2493610 0.30000123 -0.599361 -14.099999 1
+#> 3 1 -12.20 -2.55 -1.2930344 -0.13859337 -13.493034 -2.688593 2
+#> 4 1 -2.30 -13.70 1.0292510 0.07981703 -1.270749 -13.620183 1
+#> 5 1 -12.60 -7.80 0.7871580 1.37637612 -11.812842 -6.423624 2
+#> 6 1 -7.60 -12.40 0.4084587 0.56285141 -7.191541 -11.837149 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -73225 14525
+#> initial value 998.131940
+#> iter 2 value 664.866693
+#> iter 3 value 664.855726
+#> iter 4 value 664.851660
+#> iter 5 value 643.689661
+#> iter 6 value 641.246087
+#> iter 7 value 641.184528
+#> iter 8 value 641.184166
+#> iter 8 value 641.184164
+#> final value 641.184164
+#> converged
+#> This is Run number 195
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.6658113 1.4229452 -4.9658113 -11.177055 1
+#> 2 1 -0.35 -14.40 -0.4637719 -0.1472360 -0.8137719 -14.547236 1
+#> 3 1 -12.20 -2.55 0.3779511 1.1461568 -11.8220489 -1.403843 2
+#> 4 1 -2.30 -13.70 -0.8866720 0.1594267 -3.1866720 -13.540573 1
+#> 5 1 -12.60 -7.80 0.1204160 -0.2908744 -12.4795840 -8.090874 2
+#> 6 1 -7.60 -12.40 0.9446559 0.8799280 -6.6553441 -11.520072 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -72775 12750
+#> initial value 998.131940
+#> iter 2 value 671.858854
+#> iter 3 value 671.311244
+#> iter 4 value 671.168605
+#> iter 5 value 650.910971
+#> iter 6 value 648.665044
+#> iter 7 value 648.613319
+#> iter 8 value 648.613077
+#> iter 8 value 648.613075
+#> final value 648.613075
+#> converged
+#> This is Run number 196
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.58875431 1.28544279 -3.7112457 -11.314557 1
+#> 2 1 -0.35 -14.40 0.80078711 0.01549220 0.4507871 -14.384508 1
+#> 3 1 -12.20 -2.55 0.02457712 -0.02993479 -12.1754229 -2.579935 2
+#> 4 1 -2.30 -13.70 0.13103673 0.10606528 -2.1689633 -13.593935 1
+#> 5 1 -12.60 -7.80 -0.43410497 -0.75293624 -13.0341050 -8.552936 2
+#> 6 1 -7.60 -12.40 0.66511623 1.18740469 -6.9348838 -11.212595 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5120 -71200 14825
+#> initial value 998.131940
+#> iter 2 value 682.253703
+#> iter 3 value 682.151908
+#> iter 4 value 682.101552
+#> iter 5 value 663.064998
+#> iter 6 value 661.095354
+#> iter 7 value 661.054006
+#> iter 8 value 661.053851
+#> iter 8 value 661.053850
+#> final value 661.053850
+#> converged
+#> This is Run number 197
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.17032708 -0.5124597 -4.47032708 -13.1124597 1
+#> 2 1 -0.35 -14.40 0.44648396 0.1228685 0.09648396 -14.2771315 1
+#> 3 1 -12.20 -2.55 0.95445513 1.8022269 -11.24554487 -0.7477731 2
+#> 4 1 -2.30 -13.70 0.09959401 0.5022768 -2.20040599 -13.1977232 1
+#> 5 1 -12.60 -7.80 1.81090499 0.8045566 -10.78909501 -6.9954434 2
+#> 6 1 -7.60 -12.40 0.99314539 2.1727164 -6.60685461 -10.2272836 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4160 -71250 14500
+#> initial value 998.131940
+#> iter 2 value 682.950472
+#> iter 3 value 682.696861
+#> iter 4 value 682.580423
+#> iter 5 value 663.395933
+#> iter 6 value 661.334655
+#> iter 7 value 661.287648
+#> iter 8 value 661.287339
+#> iter 8 value 661.287337
+#> final value 661.287337
+#> converged
+#> This is Run number 198
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.6215791 -0.1276530 -2.6784209 -12.727653 1
+#> 2 1 -0.35 -14.40 -0.9207813 -0.1717138 -1.2707813 -14.571714 1
+#> 3 1 -12.20 -2.55 2.8176708 -0.6738826 -9.3823292 -3.223883 2
+#> 4 1 -2.30 -13.70 2.1437773 3.0294392 -0.1562227 -10.670561 1
+#> 5 1 -12.60 -7.80 1.1977671 4.4790664 -11.4022329 -3.320934 2
+#> 6 1 -7.60 -12.40 1.5136273 0.7145941 -6.0863727 -11.685406 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5140 -70425 13675
+#> initial value 998.131940
+#> iter 2 value 691.050855
+#> iter 3 value 690.964128
+#> iter 4 value 690.892901
+#> iter 5 value 673.106967
+#> iter 6 value 671.392798
+#> iter 7 value 671.362181
+#> iter 8 value 671.362097
+#> iter 8 value 671.362097
+#> final value 671.362097
+#> converged
+#> This is Run number 199
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.84072660 2.2178128 -2.459273 -10.382187 1
+#> 2 1 -0.35 -14.40 2.56287558 1.2463816 2.212876 -13.153618 1
+#> 3 1 -12.20 -2.55 1.63120060 -0.8677938 -10.568799 -3.417794 2
+#> 4 1 -2.30 -13.70 -0.05994531 0.6547891 -2.359945 -13.045211 1
+#> 5 1 -12.60 -7.80 1.88421058 -0.8857753 -10.715789 -8.685775 2
+#> 6 1 -7.60 -12.40 -0.62605689 6.6021507 -8.226057 -5.797849 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3960 -71950 15375
+#> initial value 998.131940
+#> iter 2 value 675.188793
+#> iter 3 value 674.812103
+#> iter 4 value 674.480584
+#> iter 5 value 654.069617
+#> iter 6 value 651.679035
+#> iter 7 value 651.613451
+#> iter 8 value 651.612887
+#> iter 8 value 651.612884
+#> final value 651.612884
+#> converged
+#> This is Run number 200
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.53855203 -0.76477965 -2.7614480 -13.364780 1
+#> 2 1 -0.35 -14.40 0.52459547 -0.64620197 0.1745955 -15.046202 1
+#> 3 1 -12.20 -2.55 -0.02207552 -0.04124527 -12.2220755 -2.591245 2
+#> 4 1 -2.30 -13.70 2.17982732 1.67403003 -0.1201727 -12.025970 1
+#> 5 1 -12.60 -7.80 3.28322635 0.72438855 -9.3167737 -7.075611 2
+#> 6 1 -7.60 -12.40 -0.44599894 -0.12824351 -8.0459989 -12.528244 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4960 -73425 14125
+#> initial value 998.131940
+#> iter 2 value 663.662406
+#> iter 3 value 663.607756
+#> iter 4 value 663.600646
+#> iter 5 value 642.321835
+#> iter 6 value 639.910750
+#> iter 7 value 639.850397
+#> iter 8 value 639.850073
+#> iter 8 value 639.850071
+#> final value 639.850071
+#> converged
+#> This is Run number 201
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.0596831 -0.18767828 -4.359683 -12.787678 1
+#> 2 1 -0.35 -14.40 -0.7250887 1.39971703 -1.075089 -13.000283 1
+#> 3 1 -12.20 -2.55 -0.4133225 0.47235758 -12.613322 -2.077642 2
+#> 4 1 -2.30 -13.70 -0.7517572 1.24624598 -3.051757 -12.453754 1
+#> 5 1 -12.60 -7.80 -0.6151390 3.18169585 -13.215139 -4.618304 2
+#> 6 1 -7.60 -12.40 0.4696055 0.03273382 -7.130394 -12.367266 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -72850 14700
+#> initial value 998.131940
+#> iter 2 value 668.042920
+#> iter 3 value 668.009915
+#> iter 4 value 667.991234
+#> iter 5 value 647.183839
+#> iter 6 value 644.786487
+#> iter 7 value 644.726550
+#> iter 8 value 644.726176
+#> iter 8 value 644.726173
+#> final value 644.726173
+#> converged
+#> This is Run number 202
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.29736286 -0.6299921 -3.0026371 -13.229992 1
+#> 2 1 -0.35 -14.40 -0.23355858 -1.1477957 -0.5835586 -15.547796 1
+#> 3 1 -12.20 -2.55 -0.34427981 -0.2344537 -12.5442798 -2.784454 2
+#> 4 1 -2.30 -13.70 -0.09578502 -0.1184093 -2.3957850 -13.818409 1
+#> 5 1 -12.60 -7.80 -0.43998751 -1.0312880 -13.0399875 -8.831288 2
+#> 6 1 -7.60 -12.40 -0.19308153 0.4505557 -7.7930815 -11.949444 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -71700 14325
+#> initial value 998.131940
+#> iter 2 value 679.233113
+#> iter 3 value 678.828373
+#> iter 4 value 678.825734
+#> iter 5 value 659.299331
+#> iter 6 value 657.177857
+#> iter 7 value 657.127729
+#> iter 8 value 657.127413
+#> iter 8 value 657.127411
+#> final value 657.127411
+#> converged
+#> This is Run number 203
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.13793783 -0.35606659 -4.162062 -12.956067 1
+#> 2 1 -0.35 -14.40 -1.14764064 -0.40649968 -1.497641 -14.806500 1
+#> 3 1 -12.20 -2.55 -0.21054561 -0.01245938 -12.410546 -2.562459 2
+#> 4 1 -2.30 -13.70 0.28877404 -0.37882443 -2.011226 -14.078824 1
+#> 5 1 -12.60 -7.80 0.98917566 1.99490247 -11.610824 -5.805098 2
+#> 6 1 -7.60 -12.40 0.06270742 1.55078974 -7.537293 -10.849210 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -71600 13725
+#> initial value 998.131940
+#> iter 2 value 680.773786
+#> iter 3 value 680.709216
+#> iter 4 value 680.709068
+#> iter 5 value 659.788336
+#> iter 6 value 659.667040
+#> iter 7 value 659.664412
+#> iter 7 value 659.664411
+#> iter 7 value 659.664411
+#> final value 659.664411
+#> converged
+#> This is Run number 204
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.3062643 0.4947037 -4.6062643 -12.105296 1
+#> 2 1 -0.35 -14.40 0.7343582 0.9295404 0.3843582 -13.470460 1
+#> 3 1 -12.20 -2.55 0.5566848 -0.8234551 -11.6433152 -3.373455 2
+#> 4 1 -2.30 -13.70 -0.6107494 4.4576496 -2.9107494 -9.242350 1
+#> 5 1 -12.60 -7.80 2.2874388 -0.2154954 -10.3125612 -8.015495 2
+#> 6 1 -7.60 -12.40 -1.1865860 0.8653285 -8.7865860 -11.534672 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4280 -71775 15025
+#> initial value 998.131940
+#> iter 2 value 677.274427
+#> iter 3 value 677.124289
+#> iter 4 value 676.993820
+#> iter 5 value 657.164621
+#> iter 6 value 654.939537
+#> iter 7 value 654.884785
+#> iter 8 value 654.884416
+#> iter 8 value 654.884413
+#> final value 654.884413
+#> converged
+#> This is Run number 205
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.40746525 -0.3931615 -3.892535 -12.993161 1
+#> 2 1 -0.35 -14.40 -0.81702245 2.6196655 -1.167022 -11.780334 1
+#> 3 1 -12.20 -2.55 -0.38568737 0.4259127 -12.585687 -2.124087 2
+#> 4 1 -2.30 -13.70 -0.11013328 0.6253486 -2.410133 -13.074651 1
+#> 5 1 -12.60 -7.80 0.05079399 1.6898015 -12.549206 -6.110199 2
+#> 6 1 -7.60 -12.40 0.89131968 -0.1825928 -6.708680 -12.582593 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -71875 14475
+#> initial value 998.131940
+#> iter 2 value 677.034080
+#> iter 3 value 677.019460
+#> iter 4 value 677.018391
+#> iter 5 value 657.387642
+#> iter 6 value 655.380406
+#> iter 7 value 655.336585
+#> iter 8 value 655.336399
+#> iter 8 value 655.336398
+#> final value 655.336398
+#> converged
+#> This is Run number 206
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.8846972 -0.7283093 -3.415303 -13.328309 1
+#> 2 1 -0.35 -14.40 2.6422589 3.7416076 2.292259 -10.658392 1
+#> 3 1 -12.20 -2.55 2.4734481 1.0429687 -9.726552 -1.507031 2
+#> 4 1 -2.30 -13.70 -0.0764173 1.4328368 -2.376417 -12.267163 1
+#> 5 1 -12.60 -7.80 -0.4041859 -0.1851443 -13.004186 -7.985144 2
+#> 6 1 -7.60 -12.40 1.8889250 2.1538612 -5.711075 -10.246139 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4900 -71600 13275
+#> initial value 998.131940
+#> iter 2 value 681.526820
+#> iter 3 value 681.346135
+#> iter 4 value 681.336481
+#> iter 5 value 662.361345
+#> iter 6 value 660.437211
+#> iter 7 value 660.398044
+#> iter 8 value 660.397898
+#> iter 8 value 660.397898
+#> final value 660.397898
+#> converged
+#> This is Run number 207
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.3042683 1.07318679 -5.60426827 -11.526813 1
+#> 2 1 -0.35 -14.40 2.2898563 -0.39690136 1.93985633 -14.796901 1
+#> 3 1 -12.20 -2.55 0.3530294 0.06341537 -11.84697059 -2.486585 2
+#> 4 1 -2.30 -13.70 2.2536467 -0.08567996 -0.04635328 -13.785680 1
+#> 5 1 -12.60 -7.80 1.8052657 1.28591229 -10.79473428 -6.514088 2
+#> 6 1 -7.60 -12.40 0.5635644 -0.38773786 -7.03643557 -12.787738 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -72400 15450
+#> initial value 998.131940
+#> iter 2 value 670.660136
+#> iter 3 value 670.532902
+#> iter 4 value 670.531962
+#> iter 5 value 649.508108
+#> iter 6 value 647.616068
+#> iter 7 value 647.568015
+#> iter 8 value 647.567757
+#> iter 8 value 647.567756
+#> final value 647.567756
+#> converged
+#> This is Run number 208
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.83069138 -0.7802231 -1.4693086 -13.380223 1
+#> 2 1 -0.35 -14.40 -0.01133359 2.0556088 -0.3613336 -12.344391 1
+#> 3 1 -12.20 -2.55 0.02917024 -0.2163050 -12.1708298 -2.766305 2
+#> 4 1 -2.30 -13.70 -0.51799206 1.1058976 -2.8179921 -12.594102 1
+#> 5 1 -12.60 -7.80 -1.02780124 -0.7731193 -13.6278012 -8.573119 2
+#> 6 1 -7.60 -12.40 0.56168063 1.4885609 -7.0383194 -10.911439 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4900 -72050 15225
+#> initial value 998.131940
+#> iter 2 value 674.100929
+#> iter 3 value 674.009264
+#> iter 4 value 673.981042
+#> iter 5 value 653.954578
+#> iter 6 value 651.741914
+#> iter 7 value 651.690717
+#> iter 8 value 651.690465
+#> iter 8 value 651.690464
+#> final value 651.690464
+#> converged
+#> This is Run number 209
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.7855647 1.1738563 -5.0855647 -11.426144 1
+#> 2 1 -0.35 -14.40 2.1540235 -0.6338797 1.8040235 -15.033880 1
+#> 3 1 -12.20 -2.55 1.4190958 0.8414405 -10.7809042 -1.708559 2
+#> 4 1 -2.30 -13.70 1.7357615 -1.3819674 -0.5642385 -15.081967 1
+#> 5 1 -12.60 -7.80 -1.1346901 -0.1019976 -13.7346901 -7.901998 2
+#> 6 1 -7.60 -12.40 2.4563881 2.5928734 -5.1436119 -9.807127 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4740 -72475 14025
+#> initial value 998.131940
+#> iter 2 value 672.573054
+#> iter 3 value 672.517240
+#> iter 4 value 672.477165
+#> iter 5 value 652.344675
+#> iter 6 value 650.114171
+#> iter 7 value 650.062408
+#> iter 8 value 650.062139
+#> iter 8 value 650.062137
+#> final value 650.062137
+#> converged
+#> This is Run number 210
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.41423455 -0.4480742 -4.7142346 -13.048074 1
+#> 2 1 -0.35 -14.40 -0.58588887 1.5423921 -0.9358889 -12.857608 1
+#> 3 1 -12.20 -2.55 6.22778410 0.4173160 -5.9722159 -2.132684 2
+#> 4 1 -2.30 -13.70 -0.41197662 -0.4476559 -2.7119766 -14.147656 1
+#> 5 1 -12.60 -7.80 -0.08270579 3.9419816 -12.6827058 -3.858018 2
+#> 6 1 -7.60 -12.40 0.34959317 1.3786441 -7.2504068 -11.021356 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4980 -69925 14825
+#> initial value 998.131940
+#> iter 2 value 693.452152
+#> iter 3 value 693.313383
+#> iter 4 value 693.195798
+#> iter 5 value 675.528621
+#> iter 6 value 673.812544
+#> iter 7 value 673.780671
+#> iter 8 value 673.780568
+#> iter 8 value 673.780568
+#> final value 673.780568
+#> converged
+#> This is Run number 211
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.6969418 4.1620861 -3.603058 -8.4379139 1
+#> 2 1 -0.35 -14.40 -1.4331345 1.5690663 -1.783134 -12.8309337 1
+#> 3 1 -12.20 -2.55 -0.2071550 2.6961943 -12.407155 0.1461943 2
+#> 4 1 -2.30 -13.70 0.8816855 -0.4753513 -1.418314 -14.1753513 1
+#> 5 1 -12.60 -7.80 1.2571484 -0.4587100 -11.342852 -8.2587100 2
+#> 6 1 -7.60 -12.40 1.0433969 -0.9075017 -6.556603 -13.3075017 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -73450 13775
+#> initial value 998.131940
+#> iter 2 value 664.120443
+#> iter 3 value 663.958546
+#> iter 4 value 663.878979
+#> iter 5 value 642.663229
+#> iter 6 value 640.185735
+#> iter 7 value 640.123134
+#> iter 8 value 640.122769
+#> iter 8 value 640.122766
+#> final value 640.122766
+#> converged
+#> This is Run number 212
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.1943588 0.2127449 -5.494359 -12.387255 1
+#> 2 1 -0.35 -14.40 0.6044610 1.0335488 0.254461 -13.366451 1
+#> 3 1 -12.20 -2.55 0.7858770 1.1328748 -11.414123 -1.417125 2
+#> 4 1 -2.30 -13.70 -0.1184470 -0.9707907 -2.418447 -14.670791 1
+#> 5 1 -12.60 -7.80 0.3387109 1.1019865 -12.261289 -6.698013 2
+#> 6 1 -7.60 -12.40 -0.2927548 1.6842839 -7.892755 -10.715716 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -74150 13750
+#> initial value 998.131940
+#> iter 2 value 657.754125
+#> iter 3 value 657.516043
+#> iter 4 value 657.368590
+#> iter 5 value 635.261609
+#> iter 6 value 632.562711
+#> iter 7 value 632.489063
+#> iter 8 value 632.488568
+#> iter 8 value 632.488564
+#> final value 632.488564
+#> converged
+#> This is Run number 213
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.4201675 0.9120092 -2.8798325 -11.687991 1
+#> 2 1 -0.35 -14.40 0.6504184 1.5665899 0.3004184 -12.833410 1
+#> 3 1 -12.20 -2.55 2.1364559 -0.1519089 -10.0635441 -2.701909 2
+#> 4 1 -2.30 -13.70 0.8410003 0.3083113 -1.4589997 -13.391689 1
+#> 5 1 -12.60 -7.80 -0.1055378 0.2956779 -12.7055378 -7.504322 2
+#> 6 1 -7.60 -12.40 0.1973436 1.2651566 -7.4026564 -11.134843 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -70850 13050
+#> initial value 998.131940
+#> iter 2 value 688.468420
+#> iter 3 value 688.260063
+#> iter 4 value 688.259270
+#> iter 5 value 669.754473
+#> iter 6 value 668.385024
+#> iter 7 value 668.359147
+#> iter 8 value 668.359079
+#> iter 8 value 668.359078
+#> final value 668.359078
+#> converged
+#> This is Run number 214
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.0020171 0.26821322 -5.3020171 -12.331787 1
+#> 2 1 -0.35 -14.40 1.3767104 0.75212462 1.0267104 -13.647875 1
+#> 3 1 -12.20 -2.55 -0.3874249 -0.05220671 -12.5874249 -2.602207 2
+#> 4 1 -2.30 -13.70 1.5254476 3.63472803 -0.7745524 -10.065272 1
+#> 5 1 -12.60 -7.80 0.7563432 0.37392482 -11.8436568 -7.426075 2
+#> 6 1 -7.60 -12.40 0.4281651 -0.04655107 -7.1718349 -12.446551 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5220 -74000 14175
+#> initial value 998.131940
+#> iter 2 value 658.137233
+#> iter 3 value 658.061931
+#> iter 4 value 658.050955
+#> iter 5 value 636.117299
+#> iter 6 value 633.545204
+#> iter 7 value 633.478987
+#> iter 8 value 633.478646
+#> iter 8 value 633.478644
+#> final value 633.478644
+#> converged
+#> This is Run number 215
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.0679286 1.8521983 -3.2320714 -10.747802 1
+#> 2 1 -0.35 -14.40 0.2375315 1.0770952 -0.1124685 -13.322905 1
+#> 3 1 -12.20 -2.55 0.8133212 -0.4724136 -11.3866788 -3.022414 2
+#> 4 1 -2.30 -13.70 0.9558676 1.6102285 -1.3441324 -12.089772 1
+#> 5 1 -12.60 -7.80 0.9210562 0.6462786 -11.6789438 -7.153721 2
+#> 6 1 -7.60 -12.40 0.1136982 2.1639505 -7.4863018 -10.236050 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -71425 13950
+#> initial value 998.131940
+#> iter 2 value 682.018341
+#> iter 3 value 681.994729
+#> iter 4 value 681.992406
+#> iter 5 value 662.932128
+#> iter 6 value 661.117770
+#> iter 7 value 661.080145
+#> iter 8 value 661.079997
+#> iter 8 value 661.079996
+#> final value 661.079996
+#> converged
+#> This is Run number 216
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.8892901 -0.2527873 -5.189290107 -12.852787 1
+#> 2 1 -0.35 -14.40 0.5885275 2.0376836 0.238527479 -12.362316 1
+#> 3 1 -12.20 -2.55 -0.8196091 1.2386206 -13.019609079 -1.311379 2
+#> 4 1 -2.30 -13.70 2.3089790 -0.5090988 0.008978986 -14.209099 1
+#> 5 1 -12.60 -7.80 2.3384871 0.1575339 -10.261512950 -7.642466 2
+#> 6 1 -7.60 -12.40 0.3962135 0.1659088 -7.203786471 -12.234091 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -73425 15000
+#> initial value 998.131940
+#> iter 2 value 662.441855
+#> iter 3 value 662.329846
+#> iter 4 value 662.201439
+#> iter 5 value 640.254054
+#> iter 6 value 637.583525
+#> iter 7 value 637.507603
+#> iter 8 value 637.506928
+#> iter 8 value 637.506921
+#> final value 637.506921
+#> converged
+#> This is Run number 217
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.29491502 0.00267883 -4.0050850 -12.597321 1
+#> 2 1 -0.35 -14.40 0.03595913 -0.51592685 -0.3140409 -14.915927 1
+#> 3 1 -12.20 -2.55 0.17639901 -0.37834947 -12.0236010 -2.928349 2
+#> 4 1 -2.30 -13.70 1.80963710 2.04380379 -0.4903629 -11.656196 1
+#> 5 1 -12.60 -7.80 0.51797647 -0.64680695 -12.0820235 -8.446807 2
+#> 6 1 -7.60 -12.40 -0.88434528 1.10320032 -8.4843453 -11.296800 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5060 -74425 15200
+#> initial value 998.131940
+#> iter 2 value 652.452426
+#> iter 3 value 652.437905
+#> iter 4 value 652.431238
+#> iter 5 value 629.570023
+#> iter 6 value 626.778472
+#> iter 7 value 626.698595
+#> iter 8 value 626.698063
+#> iter 8 value 626.698060
+#> final value 626.698060
+#> converged
+#> This is Run number 218
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.7641665 -0.04677795 -2.535834 -12.6467780 1
+#> 2 1 -0.35 -14.40 1.4075321 -0.82038328 1.057532 -15.2203833 1
+#> 3 1 -12.20 -2.55 2.6359242 2.41385121 -9.564076 -0.1361488 2
+#> 4 1 -2.30 -13.70 0.1055531 -0.43750130 -2.194447 -14.1375013 1
+#> 5 1 -12.60 -7.80 -0.8050391 0.80721627 -13.405039 -6.9927837 2
+#> 6 1 -7.60 -12.40 0.2383495 -1.08784033 -7.361651 -13.4878403 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4280 -70850 14400
+#> initial value 998.131940
+#> iter 2 value 686.587885
+#> iter 3 value 686.463052
+#> iter 4 value 686.392630
+#> iter 5 value 667.753495
+#> iter 6 value 665.816800
+#> iter 7 value 665.775590
+#> iter 8 value 665.775360
+#> iter 8 value 665.775358
+#> final value 665.775358
+#> converged
+#> This is Run number 219
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.08928858 -0.4570340 -4.2107114 -13.057034 1
+#> 2 1 -0.35 -14.40 -0.42951763 1.4523938 -0.7795176 -12.947606 1
+#> 3 1 -12.20 -2.55 1.62172625 -1.1370329 -10.5782738 -3.687033 2
+#> 4 1 -2.30 -13.70 1.52100787 0.9336309 -0.7789921 -12.766369 1
+#> 5 1 -12.60 -7.80 -0.26708947 4.1203693 -12.8670895 -3.679631 2
+#> 6 1 -7.60 -12.40 2.17621119 0.3689724 -5.4237888 -12.031028 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -74050 15000
+#> initial value 998.131940
+#> iter 2 value 656.442043
+#> iter 3 value 656.428101
+#> iter 4 value 656.416124
+#> iter 5 value 634.093622
+#> iter 6 value 631.355784
+#> iter 7 value 631.278544
+#> iter 8 value 631.277992
+#> iter 8 value 631.277988
+#> final value 631.277988
+#> converged
+#> This is Run number 220
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.69830227 4.634559 -4.998302 -7.965441 1
+#> 2 1 -0.35 -14.40 -0.69786333 1.107616 -1.047863 -13.292384 1
+#> 3 1 -12.20 -2.55 -0.41293377 1.699451 -12.612934 -0.850549 2
+#> 4 1 -2.30 -13.70 -0.16701315 1.403318 -2.467013 -12.296682 1
+#> 5 1 -12.60 -7.80 -0.06069131 4.234473 -12.660691 -3.565527 2
+#> 6 1 -7.60 -12.40 0.58830773 -1.261409 -7.011692 -13.661409 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4360 -72475 15175
+#> initial value 998.131940
+#> iter 2 value 670.692696
+#> iter 3 value 670.550627
+#> iter 4 value 670.430653
+#> iter 5 value 649.785776
+#> iter 6 value 647.374035
+#> iter 7 value 647.310784
+#> iter 8 value 647.310322
+#> iter 8 value 647.310319
+#> final value 647.310319
+#> converged
+#> This is Run number 221
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.007939536 0.04380036 -4.307940 -12.556200 1
+#> 2 1 -0.35 -14.40 1.914303577 -1.43697479 1.564304 -15.836975 1
+#> 3 1 -12.20 -2.55 0.006985356 2.03885097 -12.193015 -0.511149 2
+#> 4 1 -2.30 -13.70 0.572527823 0.50315254 -1.727472 -13.196847 1
+#> 5 1 -12.60 -7.80 -0.438306781 -1.32755633 -13.038307 -9.127556 2
+#> 6 1 -7.60 -12.40 2.801312182 2.16585975 -4.798688 -10.234140 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -71075 14000
+#> initial value 998.131940
+#> iter 2 value 685.189820
+#> iter 3 value 685.182542
+#> iter 4 value 685.147240
+#> iter 5 value 666.450888
+#> iter 6 value 664.528973
+#> iter 7 value 664.488390
+#> iter 8 value 664.488199
+#> iter 8 value 664.488198
+#> final value 664.488198
+#> converged
+#> This is Run number 222
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.74311046 1.13617435 -2.5568895 -11.463826 1
+#> 2 1 -0.35 -14.40 0.70438278 0.05681071 0.3543828 -14.343189 1
+#> 3 1 -12.20 -2.55 1.17996018 0.20517106 -11.0200398 -2.344829 2
+#> 4 1 -2.30 -13.70 0.01894471 1.28758300 -2.2810553 -12.412417 1
+#> 5 1 -12.60 -7.80 0.14846457 0.05722016 -12.4515354 -7.742780 2
+#> 6 1 -7.60 -12.40 0.07227273 -1.45917823 -7.5277273 -13.859178 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4780 -70625 13100
+#> initial value 998.131940
+#> iter 2 value 690.457206
+#> iter 3 value 690.278360
+#> iter 4 value 690.258551
+#> iter 5 value 672.362759
+#> iter 6 value 670.628464
+#> iter 7 value 670.596266
+#> iter 8 value 670.596159
+#> iter 8 value 670.596158
+#> final value 670.596158
+#> converged
+#> This is Run number 223
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.01431477 0.7419670 -4.2856852 -11.858033 1
+#> 2 1 -0.35 -14.40 1.25283968 2.4273559 0.9028397 -11.972644 1
+#> 3 1 -12.20 -2.55 -1.13109055 -0.1812293 -13.3310905 -2.731229 2
+#> 4 1 -2.30 -13.70 0.55394788 -0.8984794 -1.7460521 -14.598479 1
+#> 5 1 -12.60 -7.80 0.55835353 0.5036373 -12.0416465 -7.296363 2
+#> 6 1 -7.60 -12.40 0.30677822 -0.8845258 -7.2932218 -13.284526 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5100 -73400 15025
+#> initial value 998.131940
+#> iter 2 value 662.179881
+#> iter 3 value 662.151641
+#> iter 4 value 662.127582
+#> iter 5 value 640.644942
+#> iter 6 value 638.117754
+#> iter 7 value 638.052816
+#> iter 8 value 638.052459
+#> iter 8 value 638.052457
+#> final value 638.052457
+#> converged
+#> This is Run number 224
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2177403 0.2031342 -4.5177403 -12.396866 1
+#> 2 1 -0.35 -14.40 2.0731325 -1.0454440 1.7231325 -15.445444 1
+#> 3 1 -12.20 -2.55 0.1678727 0.9588104 -12.0321273 -1.591190 2
+#> 4 1 -2.30 -13.70 3.0690418 -0.8859942 0.7690418 -14.585994 1
+#> 5 1 -12.60 -7.80 0.7341547 1.1218574 -11.8658453 -6.678143 2
+#> 6 1 -7.60 -12.40 1.2071615 0.5046626 -6.3928385 -11.895337 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5840 -72600 13725
+#> initial value 998.131940
+#> iter 2 value 671.197942
+#> iter 3 value 670.785852
+#> iter 4 value 670.456038
+#> iter 5 value 650.024738
+#> iter 6 value 647.826890
+#> iter 7 value 647.779419
+#> iter 8 value 647.779272
+#> iter 8 value 647.779272
+#> final value 647.779272
+#> converged
+#> This is Run number 225
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.4187726 -1.73282511 -4.7187726 -14.3328251 1
+#> 2 1 -0.35 -14.40 -0.4325254 -0.19037474 -0.7825254 -14.5903747 1
+#> 3 1 -12.20 -2.55 2.5465865 2.44540911 -9.6534135 -0.1045909 2
+#> 4 1 -2.30 -13.70 -0.8775882 5.12996652 -3.1775882 -8.5700335 1
+#> 5 1 -12.60 -7.80 -0.8626537 3.02513079 -13.4626537 -4.7748692 2
+#> 6 1 -7.60 -12.40 0.9065440 -0.07628279 -6.6934560 -12.4762828 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5200 -72650 15300
+#> initial value 998.131940
+#> iter 2 value 668.384383
+#> iter 3 value 668.246235
+#> iter 4 value 668.123962
+#> iter 5 value 647.373563
+#> iter 6 value 645.009503
+#> iter 7 value 644.952169
+#> iter 8 value 644.951894
+#> iter 8 value 644.951892
+#> final value 644.951892
+#> converged
+#> This is Run number 226
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.303376382 1.0443231 -4.603376 -11.555677 1
+#> 2 1 -0.35 -14.40 -0.373875025 0.5131312 -0.723875 -13.886869 1
+#> 3 1 -12.20 -2.55 -0.708846546 -0.3186525 -12.908847 -2.868652 2
+#> 4 1 -2.30 -13.70 -0.002996524 -0.2623868 -2.302997 -13.962387 1
+#> 5 1 -12.60 -7.80 -0.774473793 -0.1037000 -13.374474 -7.903700 2
+#> 6 1 -7.60 -12.40 1.616132214 0.7133395 -5.983868 -11.686660 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4160 -70825 15275
+#> initial value 998.131940
+#> iter 2 value 685.229126
+#> iter 3 value 684.976066
+#> iter 4 value 684.838153
+#> iter 5 value 665.935618
+#> iter 6 value 663.896073
+#> iter 7 value 663.849113
+#> iter 8 value 663.848821
+#> iter 8 value 663.848820
+#> final value 663.848820
+#> converged
+#> This is Run number 227
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.1377068 0.2652492 -3.1622932 -12.3347508 1
+#> 2 1 -0.35 -14.40 0.1604769 0.2168712 -0.1895231 -14.1831288 1
+#> 3 1 -12.20 -2.55 -0.3869732 2.9054032 -12.5869732 0.3554032 2
+#> 4 1 -2.30 -13.70 1.0895612 -0.5330454 -1.2104388 -14.2330454 1
+#> 5 1 -12.60 -7.80 1.3532845 0.4809421 -11.2467155 -7.3190579 2
+#> 6 1 -7.60 -12.40 -0.3246704 0.6157894 -7.9246704 -11.7842106 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -71025 14750
+#> initial value 998.131940
+#> iter 2 value 684.236843
+#> iter 3 value 684.199655
+#> iter 4 value 684.195602
+#> iter 5 value 665.349474
+#> iter 6 value 663.471853
+#> iter 7 value 663.432105
+#> iter 8 value 663.431924
+#> iter 8 value 663.431923
+#> final value 663.431923
+#> converged
+#> This is Run number 228
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.04845498 0.9150086 -4.2515450 -11.684991 1
+#> 2 1 -0.35 -14.40 1.17451958 -0.6630735 0.8245196 -15.063074 1
+#> 3 1 -12.20 -2.55 -0.91207616 1.3940453 -13.1120762 -1.155955 2
+#> 4 1 -2.30 -13.70 0.62193826 0.4031335 -1.6780617 -13.296867 1
+#> 5 1 -12.60 -7.80 4.85527384 -0.1992367 -7.7447262 -7.999237 1
+#> 6 1 -7.60 -12.40 0.88509677 -1.2950023 -6.7149032 -13.695002 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -74925 14775
+#> initial value 998.131940
+#> iter 2 value 648.752516
+#> iter 3 value 648.703669
+#> iter 4 value 648.671976
+#> iter 5 value 625.289234
+#> iter 6 value 622.264446
+#> iter 7 value 622.171440
+#> iter 8 value 622.170676
+#> iter 8 value 622.170670
+#> final value 622.170670
+#> converged
+#> This is Run number 229
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.07712247 1.7013183 -4.222878 -10.898682 1
+#> 2 1 -0.35 -14.40 -1.65634892 -0.2479495 -2.006349 -14.647950 1
+#> 3 1 -12.20 -2.55 -0.85750384 0.7802696 -13.057504 -1.769730 2
+#> 4 1 -2.30 -13.70 0.34872976 0.6854227 -1.951270 -13.014577 1
+#> 5 1 -12.60 -7.80 -0.79164380 1.2130278 -13.391644 -6.586972 2
+#> 6 1 -7.60 -12.40 1.85739747 1.2268456 -5.742603 -11.173154 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5200 -73750 16175
+#> initial value 998.131940
+#> iter 2 value 656.626967
+#> iter 3 value 656.281522
+#> iter 4 value 656.097714
+#> iter 5 value 633.662861
+#> iter 6 value 630.863809
+#> iter 7 value 630.785182
+#> iter 8 value 630.784692
+#> iter 8 value 630.784689
+#> final value 630.784689
+#> converged
+#> This is Run number 230
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2735139 -0.1403669 -4.5735139 -12.740367 1
+#> 2 1 -0.35 -14.40 -0.5165112 -0.3164245 -0.8665112 -14.716424 1
+#> 3 1 -12.20 -2.55 -0.2368220 0.2116994 -12.4368220 -2.338301 2
+#> 4 1 -2.30 -13.70 0.5504173 -0.6571167 -1.7495827 -14.357117 1
+#> 5 1 -12.60 -7.80 -1.1355221 -0.4068305 -13.7355221 -8.206831 2
+#> 6 1 -7.60 -12.40 1.2913993 -0.8049417 -6.3086007 -13.204942 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5560 -70000 12375
+#> initial value 998.131940
+#> iter 2 value 696.447559
+#> iter 3 value 695.836644
+#> iter 4 value 695.595505
+#> iter 5 value 678.423533
+#> iter 6 value 676.848030
+#> iter 7 value 676.822445
+#> iter 8 value 676.822396
+#> iter 8 value 676.822396
+#> final value 676.822396
+#> converged
+#> This is Run number 231
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.5545065 1.27794033 -4.8545065 -11.322060 1
+#> 2 1 -0.35 -14.40 4.8694314 1.48549572 4.5194314 -12.914504 1
+#> 3 1 -12.20 -2.55 -0.8379278 1.54993186 -13.0379278 -1.000068 2
+#> 4 1 -2.30 -13.70 1.7313063 1.69219890 -0.5686937 -12.007801 1
+#> 5 1 -12.60 -7.80 1.8908371 -0.05996545 -10.7091629 -7.859965 2
+#> 6 1 -7.60 -12.40 3.3426218 -0.60987910 -4.2573782 -13.009879 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4580 -71575 15675
+#> initial value 998.131940
+#> iter 2 value 677.619981
+#> iter 3 value 677.371676
+#> iter 4 value 677.371499
+#> iter 5 value 662.168531
+#> iter 6 value 655.519379
+#> iter 7 value 655.379934
+#> iter 8 value 655.378358
+#> iter 8 value 655.378353
+#> final value 655.378353
+#> converged
+#> This is Run number 232
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.8599167 0.1937629 -2.44008328 -12.4062371 1
+#> 2 1 -0.35 -14.40 0.2608588 4.2465129 -0.08914121 -10.1534871 1
+#> 3 1 -12.20 -2.55 5.0470038 2.3215696 -7.15299619 -0.2284304 2
+#> 4 1 -2.30 -13.70 -0.2015842 0.9537678 -2.50158425 -12.7462322 1
+#> 5 1 -12.60 -7.80 -1.1201836 1.7023686 -13.72018362 -6.0976314 2
+#> 6 1 -7.60 -12.40 -0.9033292 0.5122896 -8.50332919 -11.8877104 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5160 -74375 15400
+#> initial value 998.131940
+#> iter 2 value 652.465293
+#> iter 3 value 652.412301
+#> iter 4 value 652.371362
+#> iter 5 value 629.565140
+#> iter 6 value 626.705263
+#> iter 7 value 626.623804
+#> iter 8 value 626.623274
+#> iter 8 value 626.623271
+#> final value 626.623271
+#> converged
+#> This is Run number 233
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.6723535 0.51077303 -3.6276465 -12.089227 1
+#> 2 1 -0.35 -14.40 1.1967871 2.46753708 0.8467871 -11.932463 1
+#> 3 1 -12.20 -2.55 0.1341029 -0.82070440 -12.0658971 -3.370704 2
+#> 4 1 -2.30 -13.70 1.0318393 0.68360468 -1.2681607 -13.016395 1
+#> 5 1 -12.60 -7.80 0.4068778 -0.06935076 -12.1931222 -7.869351 2
+#> 6 1 -7.60 -12.40 0.3362510 3.25514815 -7.2637490 -9.144852 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5300 -72825 14150
+#> initial value 998.131940
+#> iter 2 value 668.848568
+#> iter 3 value 668.767449
+#> iter 4 value 668.698691
+#> iter 5 value 648.192325
+#> iter 6 value 645.911202
+#> iter 7 value 645.859407
+#> iter 8 value 645.859198
+#> iter 8 value 645.859197
+#> final value 645.859197
+#> converged
+#> This is Run number 234
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.0871011 0.28376700 -3.2128989 -12.3162330 1
+#> 2 1 -0.35 -14.40 1.2168958 -0.02260377 0.8668958 -14.4226038 1
+#> 3 1 -12.20 -2.55 -0.6075307 1.77144258 -12.8075307 -0.7785574 2
+#> 4 1 -2.30 -13.70 4.1537316 -1.99326188 1.8537316 -15.6932619 1
+#> 5 1 -12.60 -7.80 0.7005238 1.64218901 -11.8994762 -6.1578110 2
+#> 6 1 -7.60 -12.40 0.5130011 0.13423623 -7.0869989 -12.2657638 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -73700 14750
+#> initial value 998.131940
+#> iter 2 value 660.156461
+#> iter 3 value 660.100619
+#> iter 4 value 660.100050
+#> iter 5 value 638.137669
+#> iter 6 value 635.667332
+#> iter 7 value 635.599976
+#> iter 8 value 635.599533
+#> iter 8 value 635.599529
+#> final value 635.599529
+#> converged
+#> This is Run number 235
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.41003511 0.07428161 -3.889965 -12.525718 1
+#> 2 1 -0.35 -14.40 0.05884201 0.65680239 -0.291158 -13.743198 1
+#> 3 1 -12.20 -2.55 1.33873639 0.94137409 -10.861264 -1.608626 2
+#> 4 1 -2.30 -13.70 -0.54614729 -0.82423194 -2.846147 -14.524232 1
+#> 5 1 -12.60 -7.80 -1.15367967 -0.10263258 -13.753680 -7.902633 2
+#> 6 1 -7.60 -12.40 0.51565637 -0.59821492 -7.084344 -12.998215 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -72650 15650
+#> initial value 998.131940
+#> iter 2 value 668.048833
+#> iter 3 value 667.870321
+#> iter 4 value 667.864434
+#> iter 5 value 646.855855
+#> iter 6 value 644.462421
+#> iter 7 value 644.399925
+#> iter 8 value 644.399518
+#> iter 8 value 644.399516
+#> final value 644.399516
+#> converged
+#> This is Run number 236
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.3180397 -0.6162804 -2.981960 -13.2162804 1
+#> 2 1 -0.35 -14.40 -0.4354380 3.4132135 -0.785438 -10.9867865 1
+#> 3 1 -12.20 -2.55 0.5064067 3.4183579 -11.693593 0.8683579 2
+#> 4 1 -2.30 -13.70 1.1438317 -0.1394733 -1.156168 -13.8394733 1
+#> 5 1 -12.60 -7.80 0.8733053 3.0393825 -11.726695 -4.7606175 2
+#> 6 1 -7.60 -12.40 1.9734926 1.1184412 -5.626507 -11.2815588 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4720 -73275 14025
+#> initial value 998.131940
+#> iter 2 value 665.343423
+#> iter 3 value 665.241961
+#> iter 4 value 665.160438
+#> iter 5 value 644.068413
+#> iter 6 value 641.610803
+#> iter 7 value 641.548800
+#> iter 8 value 641.548424
+#> iter 8 value 641.548422
+#> final value 641.548422
+#> converged
+#> This is Run number 237
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.7169320 0.5416463 -1.5830680 -12.0583537 1
+#> 2 1 -0.35 -14.40 -0.1423354 0.9069586 -0.4923354 -13.4930414 1
+#> 3 1 -12.20 -2.55 0.4041101 3.4467995 -11.7958899 0.8967995 2
+#> 4 1 -2.30 -13.70 1.2835762 -0.8237264 -1.0164238 -14.5237264 1
+#> 5 1 -12.60 -7.80 0.2076986 1.1633483 -12.3923014 -6.6366517 2
+#> 6 1 -7.60 -12.40 0.6476212 -0.3686278 -6.9523788 -12.7686278 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4180 -68900 13725
+#> initial value 998.131940
+#> iter 2 value 704.623824
+#> iter 3 value 704.370558
+#> iter 4 value 704.360512
+#> iter 5 value 687.933690
+#> iter 6 value 686.427210
+#> iter 7 value 686.401145
+#> iter 8 value 686.401044
+#> iter 8 value 686.401044
+#> final value 686.401044
+#> converged
+#> This is Run number 238
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.6875786 -0.054681060 -3.612421 -12.654681 1
+#> 2 1 -0.35 -14.40 2.6596129 0.401996101 2.309613 -13.998004 1
+#> 3 1 -12.20 -2.55 0.1131563 -1.383613507 -12.086844 -3.933614 2
+#> 4 1 -2.30 -13.70 0.9912293 2.505838599 -1.308771 -11.194161 1
+#> 5 1 -12.60 -7.80 2.8951506 1.012511000 -9.704849 -6.787489 2
+#> 6 1 -7.60 -12.40 -0.5000533 0.005955794 -8.100053 -12.394044 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4980 -73250 14625
+#> initial value 998.131940
+#> iter 2 value 664.361941
+#> iter 3 value 664.360683
+#> iter 4 value 664.359734
+#> iter 5 value 642.714829
+#> iter 6 value 640.733177
+#> iter 7 value 640.682852
+#> iter 8 value 640.682610
+#> iter 8 value 640.682608
+#> final value 640.682608
+#> converged
+#> This is Run number 239
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 5.0638453 -0.92318491 0.7638453 -13.523185 1
+#> 2 1 -0.35 -14.40 1.3690990 0.29198789 1.0190990 -14.108012 1
+#> 3 1 -12.20 -2.55 -1.2328442 -0.05225802 -13.4328442 -2.602258 2
+#> 4 1 -2.30 -13.70 0.3436255 1.26566302 -1.9563745 -12.434337 1
+#> 5 1 -12.60 -7.80 -0.5067772 -0.45688954 -13.1067772 -8.256890 2
+#> 6 1 -7.60 -12.40 0.6261307 0.03865350 -6.9738693 -12.361347 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5260 -69175 13425
+#> initial value 998.131940
+#> iter 2 value 702.145803
+#> iter 3 value 701.978629
+#> iter 4 value 701.873927
+#> iter 5 value 685.248031
+#> iter 6 value 683.775980
+#> iter 7 value 683.752970
+#> iter 8 value 683.752923
+#> iter 8 value 683.752923
+#> final value 683.752923
+#> converged
+#> This is Run number 240
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2493319 -1.01362787 -4.5493319 -13.6136279 1
+#> 2 1 -0.35 -14.40 0.9121884 0.99736291 0.5621884 -13.4026371 1
+#> 3 1 -12.20 -2.55 -0.9382138 2.14744644 -13.1382138 -0.4025536 2
+#> 4 1 -2.30 -13.70 0.3737832 -0.09114801 -1.9262168 -13.7911480 1
+#> 5 1 -12.60 -7.80 0.2010661 1.62164789 -12.3989339 -6.1783521 2
+#> 6 1 -7.60 -12.40 0.6242573 2.12375730 -6.9757427 -10.2762427 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5440 -74300 14550
+#> initial value 998.131940
+#> iter 2 value 654.557648
+#> iter 3 value 654.476850
+#> iter 4 value 654.420095
+#> iter 5 value 631.987816
+#> iter 6 value 629.267288
+#> iter 7 value 629.195710
+#> iter 8 value 629.195349
+#> iter 8 value 629.195347
+#> final value 629.195347
+#> converged
+#> This is Run number 241
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.69388333 1.99415856 -4.993883 -10.605841 1
+#> 2 1 -0.35 -14.40 1.60077297 0.68771398 1.250773 -13.712286 1
+#> 3 1 -12.20 -2.55 0.90398327 0.25455252 -11.296017 -2.295447 2
+#> 4 1 -2.30 -13.70 -0.41308901 -1.13498262 -2.713089 -14.834983 1
+#> 5 1 -12.60 -7.80 3.03786132 -0.03984072 -9.562139 -7.839841 2
+#> 6 1 -7.60 -12.40 -0.05331178 -0.62975939 -7.653312 -13.029759 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -72450 14750
+#> initial value 998.131940
+#> iter 2 value 671.706156
+#> iter 3 value 671.625643
+#> iter 4 value 671.546153
+#> iter 5 value 650.985031
+#> iter 6 value 648.636203
+#> iter 7 value 648.577297
+#> iter 8 value 648.576882
+#> iter 8 value 648.576878
+#> final value 648.576878
+#> converged
+#> This is Run number 242
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.2141262 0.82540150 -4.0858738 -11.774599 1
+#> 2 1 -0.35 -14.40 0.1960637 1.05455884 -0.1539363 -13.345441 1
+#> 3 1 -12.20 -2.55 -0.7988749 -0.54679363 -12.9988749 -3.096794 2
+#> 4 1 -2.30 -13.70 1.7388924 -0.42118783 -0.5611076 -14.121188 1
+#> 5 1 -12.60 -7.80 0.1142897 -0.09491187 -12.4857103 -7.894912 2
+#> 6 1 -7.60 -12.40 2.4237886 0.37181359 -5.1762114 -12.028186 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4100 -71650 13975
+#> initial value 998.131940
+#> iter 2 value 680.359644
+#> iter 3 value 679.747649
+#> iter 4 value 679.608480
+#> iter 5 value 660.128987
+#> iter 6 value 657.988873
+#> iter 7 value 657.937754
+#> iter 8 value 657.937417
+#> iter 8 value 657.937415
+#> final value 657.937415
+#> converged
+#> This is Run number 243
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.4898983 1.0305800 -1.810102 -11.569420 1
+#> 2 1 -0.35 -14.40 -0.9414847 0.1142303 -1.291485 -14.285770 1
+#> 3 1 -12.20 -2.55 1.7655694 0.8974659 -10.434431 -1.652534 2
+#> 4 1 -2.30 -13.70 0.1818143 2.3845766 -2.118186 -11.315423 1
+#> 5 1 -12.60 -7.80 0.2344902 0.5543272 -12.365510 -7.245673 2
+#> 6 1 -7.60 -12.40 0.2084198 -0.1850590 -7.391580 -12.585059 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4480 -73025 14300
+#> initial value 998.131940
+#> iter 2 value 667.271804
+#> iter 3 value 667.100143
+#> iter 4 value 667.017933
+#> iter 5 value 646.006114
+#> iter 6 value 643.552466
+#> iter 7 value 643.488129
+#> iter 8 value 643.487687
+#> iter 8 value 643.487684
+#> final value 643.487684
+#> converged
+#> This is Run number 244
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.5991997 -1.7118739 -3.7008003 -14.311874 1
+#> 2 1 -0.35 -14.40 1.5993120 -0.1928885 1.2493120 -14.592888 1
+#> 3 1 -12.20 -2.55 1.6065010 -0.5739311 -10.5934990 -3.123931 2
+#> 4 1 -2.30 -13.70 1.8412577 -0.7225232 -0.4587423 -14.422523 1
+#> 5 1 -12.60 -7.80 -0.3096537 3.8905829 -12.9096537 -3.909417 2
+#> 6 1 -7.60 -12.40 0.4379676 1.4106537 -7.1620324 -10.989346 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -72275 13775
+#> initial value 998.131940
+#> iter 2 value 674.901863
+#> iter 3 value 674.755410
+#> iter 4 value 674.629528
+#> iter 5 value 654.682499
+#> iter 6 value 652.482974
+#> iter 7 value 652.432209
+#> iter 8 value 652.431927
+#> iter 8 value 652.431925
+#> final value 652.431925
+#> converged
+#> This is Run number 245
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.49413719 -1.07849876 -1.8058628 -13.678499 1
+#> 2 1 -0.35 -14.40 1.19314580 1.09534495 0.8431458 -13.304655 1
+#> 3 1 -12.20 -2.55 2.05655798 0.08472238 -10.1434420 -2.465278 2
+#> 4 1 -2.30 -13.70 -0.06092358 1.43708713 -2.3609236 -12.262913 1
+#> 5 1 -12.60 -7.80 -0.36416829 2.15735989 -12.9641683 -5.642640 2
+#> 6 1 -7.60 -12.40 -0.96179709 0.60680096 -8.5617971 -11.793199 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4560 -74000 14750
+#> initial value 998.131940
+#> iter 2 value 657.511465
+#> iter 3 value 657.265751
+#> iter 4 value 656.510609
+#> iter 5 value 634.454977
+#> iter 6 value 632.231998
+#> iter 7 value 632.163602
+#> iter 8 value 632.163095
+#> iter 8 value 632.163092
+#> final value 632.163092
+#> converged
+#> This is Run number 246
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.4194564 -1.3365626 -1.8805436 -13.936563 1
+#> 2 1 -0.35 -14.40 0.8445475 1.1789884 0.4945475 -13.221012 1
+#> 3 1 -12.20 -2.55 -0.7627074 -0.2007129 -12.9627074 -2.750713 2
+#> 4 1 -2.30 -13.70 -0.0630102 0.1958599 -2.3630102 -13.504140 1
+#> 5 1 -12.60 -7.80 -0.7366070 -0.1578939 -13.3366070 -7.957894 2
+#> 6 1 -7.60 -12.40 0.1448710 0.9695566 -7.4551290 -11.430443 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -74525 15400
+#> initial value 998.131940
+#> iter 2 value 651.399071
+#> iter 3 value 651.312817
+#> iter 4 value 651.236713
+#> iter 5 value 628.098556
+#> iter 6 value 625.089659
+#> iter 7 value 624.995768
+#> iter 8 value 624.994919
+#> iter 8 value 624.994913
+#> final value 624.994913
+#> converged
+#> This is Run number 247
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.2782877 2.242634e+00 -4.021712 -10.357366 1
+#> 2 1 -0.35 -14.40 1.6291951 -6.570767e-01 1.279195 -15.057077 1
+#> 3 1 -12.20 -2.55 -0.7247141 -6.742459e-02 -12.924714 -2.617425 2
+#> 4 1 -2.30 -13.70 -0.2456888 9.858906e-02 -2.545689 -13.601411 1
+#> 5 1 -12.60 -7.80 2.3260106 2.979349e-05 -10.273989 -7.799970 2
+#> 6 1 -7.60 -12.40 0.8492539 -2.162265e-02 -6.750746 -12.421623 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4400 -72975 14950
+#> initial value 998.131940
+#> iter 2 value 666.587445
+#> iter 3 value 666.477279
+#> iter 4 value 666.395333
+#> iter 5 value 645.191388
+#> iter 6 value 642.660698
+#> iter 7 value 642.590592
+#> iter 8 value 642.590044
+#> iter 8 value 642.590040
+#> final value 642.590040
+#> converged
+#> This is Run number 248
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.4943540 -1.1463729 -4.794354 -13.746373 1
+#> 2 1 -0.35 -14.40 -1.3065593 2.2232067 -1.656559 -12.176793 1
+#> 3 1 -12.20 -2.55 -1.4821164 0.7615525 -13.682116 -1.788447 2
+#> 4 1 -2.30 -13.70 -0.2439689 0.9613769 -2.543969 -12.738623 1
+#> 5 1 -12.60 -7.80 1.3840864 1.4553541 -11.215914 -6.344646 2
+#> 6 1 -7.60 -12.40 0.4757364 1.4375666 -7.124264 -10.962433 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4480 -74150 14200
+#> initial value 998.131940
+#> iter 2 value 657.148044
+#> iter 3 value 656.938474
+#> iter 4 value 656.929530
+#> iter 5 value 634.260340
+#> iter 6 value 631.471782
+#> iter 7 value 631.391495
+#> iter 8 value 631.390821
+#> iter 8 value 631.390815
+#> final value 631.390815
+#> converged
+#> This is Run number 249
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2978765 0.5201540 -4.597877 -12.079846 1
+#> 2 1 -0.35 -14.40 2.4170190 -0.4937921 2.067019 -14.893792 1
+#> 3 1 -12.20 -2.55 -1.3450062 -0.9561250 -13.545006 -3.506125 2
+#> 4 1 -2.30 -13.70 0.4264001 -0.8668838 -1.873600 -14.566884 1
+#> 5 1 -12.60 -7.80 -0.4774402 1.4111303 -13.077440 -6.388870 2
+#> 6 1 -7.60 -12.40 0.1326592 3.7352657 -7.467341 -8.664734 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4580 -73825 15475
+#> initial value 998.131940
+#> iter 2 value 657.734469
+#> iter 3 value 657.622879
+#> iter 4 value 657.559679
+#> iter 5 value 635.271430
+#> iter 6 value 632.475337
+#> iter 7 value 632.393376
+#> iter 8 value 632.392702
+#> iter 8 value 632.392697
+#> final value 632.392697
+#> converged
+#> This is Run number 250
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 5.8109132 -0.34646643 1.5109132 -12.946466 1
+#> 2 1 -0.35 -14.40 -0.5081534 -0.09223055 -0.8581534 -14.492231 1
+#> 3 1 -12.20 -2.55 1.9591842 0.61101000 -10.2408158 -1.938990 2
+#> 4 1 -2.30 -13.70 0.9006891 -0.24049724 -1.3993109 -13.940497 1
+#> 5 1 -12.60 -7.80 3.3110069 -0.64110409 -9.2889931 -8.441104 2
+#> 6 1 -7.60 -12.40 0.2260068 0.18424259 -7.3739932 -12.215757 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -70950 14800
+#> initial value 998.131940
+#> iter 2 value 684.779500
+#> iter 3 value 684.736154
+#> iter 4 value 684.735939
+#> iter 5 value 664.337672
+#> iter 6 value 664.065848
+#> iter 7 value 664.059169
+#> iter 8 value 664.059152
+#> iter 8 value 664.059152
+#> final value 664.059152
+#> converged
+#> This is Run number 251
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.8023739 1.7292773 -3.49762607 -10.870723 1
+#> 2 1 -0.35 -14.40 0.4300765 0.1895780 0.08007646 -14.210422 1
+#> 3 1 -12.20 -2.55 0.1191241 0.7641694 -12.08087594 -1.785831 2
+#> 4 1 -2.30 -13.70 -1.0390929 -1.0112443 -3.33909291 -14.711244 1
+#> 5 1 -12.60 -7.80 4.6068466 0.2991724 -7.99315340 -7.500828 2
+#> 6 1 -7.60 -12.40 0.1432808 1.6690425 -7.45671923 -10.730958 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4260 -72750 14950
+#> initial value 998.131940
+#> iter 2 value 668.691598
+#> iter 3 value 668.524138
+#> iter 4 value 668.395596
+#> iter 5 value 647.341442
+#> iter 6 value 644.836112
+#> iter 7 value 644.765765
+#> iter 8 value 644.765187
+#> iter 8 value 644.765184
+#> final value 644.765184
+#> converged
+#> This is Run number 252
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.50388820 -0.4028524 -3.7961118 -13.002852 1
+#> 2 1 -0.35 -14.40 -0.21906694 -0.1557592 -0.5690669 -14.555759 1
+#> 3 1 -12.20 -2.55 0.50125599 -0.8706831 -11.6987440 -3.420683 2
+#> 4 1 -2.30 -13.70 -0.05900488 0.2624220 -2.3590049 -13.437578 1
+#> 5 1 -12.60 -7.80 0.23414361 1.2177371 -12.3658564 -6.582263 2
+#> 6 1 -7.60 -12.40 -1.47637949 -0.8964383 -9.0763795 -13.296438 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -71200 15150
+#> initial value 998.131940
+#> iter 2 value 682.071740
+#> iter 3 value 681.927793
+#> iter 4 value 681.873783
+#> iter 5 value 662.702269
+#> iter 6 value 660.630559
+#> iter 7 value 660.583317
+#> iter 8 value 660.583046
+#> iter 8 value 660.583044
+#> final value 660.583044
+#> converged
+#> This is Run number 253
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2910900 1.29005725 -4.59109003 -11.309943 1
+#> 2 1 -0.35 -14.40 -0.3346351 -0.86627805 -0.68463513 -15.266278 1
+#> 3 1 -12.20 -2.55 -0.0787150 -0.44544542 -12.27871500 -2.995445 2
+#> 4 1 -2.30 -13.70 2.2285504 1.67456708 -0.07144958 -12.025433 1
+#> 5 1 -12.60 -7.80 -0.7243755 -0.07653843 -13.32437553 -7.876538 2
+#> 6 1 -7.60 -12.40 -0.2244782 -0.39709480 -7.82447817 -12.797095 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4960 -70150 14425
+#> initial value 998.131940
+#> iter 2 value 692.256323
+#> iter 3 value 692.208675
+#> iter 4 value 692.173057
+#> iter 5 value 674.420500
+#> iter 6 value 672.695798
+#> iter 7 value 672.664234
+#> iter 8 value 672.664136
+#> iter 8 value 672.664135
+#> final value 672.664135
+#> converged
+#> This is Run number 254
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.3882172 1.3688034 -3.911783 -11.23120 1
+#> 2 1 -0.35 -14.40 2.4125825 -0.6657654 2.062582 -15.06577 1
+#> 3 1 -12.20 -2.55 0.4919590 -0.3049703 -11.708041 -2.85497 2
+#> 4 1 -2.30 -13.70 1.0084794 -0.2434229 -1.291521 -13.94342 1
+#> 5 1 -12.60 -7.80 3.4904474 0.4240802 -9.109553 -7.37592 2
+#> 6 1 -7.60 -12.40 -0.4902945 -0.7751962 -8.090294 -13.17520 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5060 -71975 13625
+#> initial value 998.131940
+#> iter 2 value 677.526869
+#> iter 3 value 677.419141
+#> iter 4 value 677.414836
+#> iter 5 value 657.925255
+#> iter 6 value 655.958874
+#> iter 7 value 655.917540
+#> iter 8 value 655.917389
+#> iter 8 value 655.917388
+#> final value 655.917388
+#> converged
+#> This is Run number 255
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 4.3797202 1.1296942 0.07972018 -11.470306 1
+#> 2 1 -0.35 -14.40 -0.4408294 -0.2565228 -0.79082938 -14.656523 1
+#> 3 1 -12.20 -2.55 0.2127612 1.3335998 -11.98723882 -1.216400 2
+#> 4 1 -2.30 -13.70 1.0382818 2.2958964 -1.26171817 -11.404104 1
+#> 5 1 -12.60 -7.80 -0.6107146 -1.0314119 -13.21071458 -8.831412 2
+#> 6 1 -7.60 -12.40 1.2315694 2.5718509 -6.36843063 -9.828149 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5380 -75425 15100
+#> initial value 998.131940
+#> iter 2 value 643.092871
+#> iter 3 value 642.995217
+#> iter 4 value 642.988146
+#> iter 5 value 618.975182
+#> iter 6 value 615.843478
+#> iter 7 value 615.748726
+#> iter 8 value 615.748092
+#> iter 8 value 615.748088
+#> final value 615.748088
+#> converged
+#> This is Run number 256
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.3175928 -0.2059716 -4.6175928 -12.805972 1
+#> 2 1 -0.35 -14.40 -0.5734087 0.9278054 -0.9234087 -13.472195 1
+#> 3 1 -12.20 -2.55 -0.1883754 0.7886399 -12.3883754 -1.761360 2
+#> 4 1 -2.30 -13.70 -0.2664034 1.7676157 -2.5664034 -11.932384 1
+#> 5 1 -12.60 -7.80 0.1346265 0.9253432 -12.4653735 -6.874657 2
+#> 6 1 -7.60 -12.40 0.6019409 1.1591923 -6.9980591 -11.240808 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5240 -73725 13875
+#> initial value 998.131940
+#> iter 2 value 661.161001
+#> iter 3 value 661.025778
+#> iter 4 value 661.015471
+#> iter 5 value 639.493021
+#> iter 6 value 637.026696
+#> iter 7 value 636.965641
+#> iter 8 value 636.965354
+#> iter 8 value 636.965352
+#> final value 636.965352
+#> converged
+#> This is Run number 257
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.9039800 0.295634991 -2.39602005 -12.304365 1
+#> 2 1 -0.35 -14.40 0.4353358 -0.216174645 0.08533583 -14.616175 1
+#> 3 1 -12.20 -2.55 0.6446138 0.508093094 -11.55538620 -2.041907 2
+#> 4 1 -2.30 -13.70 0.8338218 -0.008682991 -1.46617825 -13.708683 1
+#> 5 1 -12.60 -7.80 1.0899152 0.103162600 -11.51008477 -7.696837 2
+#> 6 1 -7.60 -12.40 -0.2507391 -0.218180489 -7.85073915 -12.618180 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4520 -71275 15150
+#> initial value 998.131940
+#> iter 2 value 681.337384
+#> iter 3 value 681.223948
+#> iter 4 value 681.210880
+#> iter 5 value 661.980330
+#> iter 6 value 659.934020
+#> iter 7 value 659.888088
+#> iter 8 value 659.887844
+#> iter 8 value 659.887843
+#> final value 659.887843
+#> converged
+#> This is Run number 258
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.08364950 1.7516630 -4.383650 -10.848337 1
+#> 2 1 -0.35 -14.40 2.23379762 -1.2462269 1.883798 -15.646227 1
+#> 3 1 -12.20 -2.55 0.27218528 -0.4246065 -11.927815 -2.974607 2
+#> 4 1 -2.30 -13.70 0.36910237 0.5865543 -1.930898 -13.113446 1
+#> 5 1 -12.60 -7.80 -0.13950776 -1.0409098 -12.739508 -8.840910 2
+#> 6 1 -7.60 -12.40 -0.07492401 0.4557141 -7.674924 -11.944286 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -72500 14475
+#> initial value 998.131940
+#> iter 2 value 671.514248
+#> iter 3 value 671.511423
+#> iter 4 value 671.509290
+#> iter 5 value 651.153515
+#> iter 6 value 648.979637
+#> iter 7 value 648.928299
+#> iter 8 value 648.928037
+#> iter 8 value 648.928035
+#> final value 648.928035
+#> converged
+#> This is Run number 259
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.0737602 1.3998991 -5.3737602 -11.200101 1
+#> 2 1 -0.35 -14.40 0.7869265 1.6182955 0.4369265 -12.781705 1
+#> 3 1 -12.20 -2.55 -0.2572079 -1.2243382 -12.4572079 -3.774338 2
+#> 4 1 -2.30 -13.70 -0.8434311 5.8115425 -3.1434311 -7.888458 1
+#> 5 1 -12.60 -7.80 1.7918776 -0.5610717 -10.8081224 -8.361072 2
+#> 6 1 -7.60 -12.40 1.5860982 1.0751731 -6.0139018 -11.324827 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5060 -71425 14575
+#> initial value 998.131940
+#> iter 2 value 680.768920
+#> iter 3 value 680.721226
+#> iter 4 value 680.689947
+#> iter 5 value 661.573029
+#> iter 6 value 659.579545
+#> iter 7 value 659.538438
+#> iter 8 value 659.538279
+#> iter 8 value 659.538278
+#> final value 659.538278
+#> converged
+#> This is Run number 260
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.2193901 0.6928522 -3.080610 -11.907148 1
+#> 2 1 -0.35 -14.40 2.3913218 1.0517306 2.041322 -13.348269 1
+#> 3 1 -12.20 -2.55 3.0583352 1.0536619 -9.141665 -1.496338 2
+#> 4 1 -2.30 -13.70 -1.1216490 0.5965204 -3.421649 -13.103480 1
+#> 5 1 -12.60 -7.80 0.6357287 1.4983778 -11.964271 -6.301622 2
+#> 6 1 -7.60 -12.40 1.3326192 2.2022614 -6.267381 -10.197739 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -72850 14025
+#> initial value 998.131940
+#> iter 2 value 669.268752
+#> iter 3 value 669.160545
+#> iter 4 value 669.072244
+#> iter 5 value 648.407020
+#> iter 6 value 646.047697
+#> iter 7 value 645.989982
+#> iter 8 value 645.989633
+#> iter 8 value 645.989630
+#> final value 645.989630
+#> converged
+#> This is Run number 261
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.3842800 -0.012724684 -4.68427997 -12.612725 1
+#> 2 1 -0.35 -14.40 0.2782466 1.163155964 -0.07175339 -13.236844 1
+#> 3 1 -12.20 -2.55 0.2931424 0.161703118 -11.90685761 -2.388297 2
+#> 4 1 -2.30 -13.70 -0.3273053 1.337986232 -2.62730532 -12.362014 1
+#> 5 1 -12.60 -7.80 0.6117565 -0.270787146 -11.98824348 -8.070787 2
+#> 6 1 -7.60 -12.40 -0.9253262 -0.005815198 -8.52532623 -12.405815 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3780 -71525 14525
+#> initial value 998.131940
+#> iter 2 value 680.637801
+#> iter 3 value 679.650150
+#> iter 4 value 679.423236
+#> iter 5 value 659.706983
+#> iter 6 value 657.478497
+#> iter 7 value 657.421415
+#> iter 8 value 657.420914
+#> iter 8 value 657.420910
+#> final value 657.420910
+#> converged
+#> This is Run number 262
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.43849884 1.1763611 -3.861501 -11.423639 1
+#> 2 1 -0.35 -14.40 -1.34277878 0.7703847 -1.692779 -13.629615 1
+#> 3 1 -12.20 -2.55 -0.13760955 0.1690382 -12.337610 -2.380962 2
+#> 4 1 -2.30 -13.70 0.85370230 2.8795591 -1.446298 -10.820441 1
+#> 5 1 -12.60 -7.80 0.05762832 0.3626571 -12.542372 -7.437343 2
+#> 6 1 -7.60 -12.40 1.82030301 -0.8254381 -5.779697 -13.225438 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3620 -69225 14025
+#> initial value 998.131940
+#> iter 2 value 701.583345
+#> iter 3 value 700.520173
+#> iter 4 value 700.354120
+#> iter 5 value 683.217936
+#> iter 6 value 681.530297
+#> iter 7 value 681.496057
+#> iter 8 value 681.495839
+#> iter 8 value 681.495838
+#> final value 681.495838
+#> converged
+#> This is Run number 263
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.3637780 -0.03215196 -4.663778e+00 -12.632152 1
+#> 2 1 -0.35 -14.40 0.3508978 2.56540694 8.977669e-04 -11.834593 1
+#> 3 1 -12.20 -2.55 1.1134895 0.94527828 -1.108651e+01 -1.604722 2
+#> 4 1 -2.30 -13.70 -1.1505684 -0.33645425 -3.450568e+00 -14.036454 1
+#> 5 1 -12.60 -7.80 -0.1901549 -0.68724217 -1.279015e+01 -8.487242 2
+#> 6 1 -7.60 -12.40 -1.5333198 -0.17870652 -9.133320e+00 -12.578707 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5060 -73275 14925
+#> initial value 998.131940
+#> iter 2 value 663.531887
+#> iter 3 value 663.515125
+#> iter 4 value 663.501585
+#> iter 5 value 642.197223
+#> iter 6 value 639.720766
+#> iter 7 value 639.658004
+#> iter 8 value 639.657663
+#> iter 8 value 639.657661
+#> final value 639.657661
+#> converged
+#> This is Run number 264
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.4375650 3.00906201 -4.737565 -9.590938 1
+#> 2 1 -0.35 -14.40 -0.7648377 2.95318253 -1.114838 -11.446817 1
+#> 3 1 -12.20 -2.55 2.4691229 -0.05659151 -9.730877 -2.606592 2
+#> 4 1 -2.30 -13.70 1.2828906 1.46179488 -1.017109 -12.238205 1
+#> 5 1 -12.60 -7.80 -0.9133777 -0.16303995 -13.513378 -7.963040 2
+#> 6 1 -7.60 -12.40 1.2292176 0.47010570 -6.370782 -11.929894 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4980 -71175 14525
+#> initial value 998.131940
+#> iter 2 value 683.115653
+#> iter 3 value 683.115471
+#> iter 4 value 683.094299
+#> iter 5 value 664.239112
+#> iter 6 value 662.303576
+#> iter 7 value 662.264502
+#> iter 8 value 662.264352
+#> iter 8 value 662.264351
+#> final value 662.264351
+#> converged
+#> This is Run number 265
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1805004 3.8161900 -4.11949956 -8.7838100 1
+#> 2 1 -0.35 -14.40 0.4151072 -0.1470447 0.06510724 -14.5470447 1
+#> 3 1 -12.20 -2.55 -0.8201787 3.0933944 -13.02017870 0.5433944 2
+#> 4 1 -2.30 -13.70 -1.3388539 -0.9002916 -3.63885387 -14.6002916 1
+#> 5 1 -12.60 -7.80 0.8215684 0.4450172 -11.77843156 -7.3549828 2
+#> 6 1 -7.60 -12.40 0.6640270 -0.2127937 -6.93597301 -12.6127937 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -70500 14525
+#> initial value 998.131940
+#> iter 2 value 689.348530
+#> iter 3 value 689.299137
+#> iter 4 value 689.256937
+#> iter 5 value 671.060223
+#> iter 6 value 669.212002
+#> iter 7 value 669.174179
+#> iter 8 value 669.173999
+#> iter 8 value 669.173998
+#> final value 669.173998
+#> converged
+#> This is Run number 266
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1782527 -0.06434555 -4.1217473 -12.6643456 1
+#> 2 1 -0.35 -14.40 0.6392256 0.78821687 0.2892256 -13.6117831 1
+#> 3 1 -12.20 -2.55 1.1371821 2.83023877 -11.0628179 0.2802388 2
+#> 4 1 -2.30 -13.70 1.3063360 -1.00055442 -0.9936640 -14.7005544 1
+#> 5 1 -12.60 -7.80 0.5928216 1.15531873 -12.0071784 -6.6446813 2
+#> 6 1 -7.60 -12.40 1.2590661 -0.47811621 -6.3409339 -12.8781162 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -70900 14150
+#> initial value 998.131940
+#> iter 2 value 686.366809
+#> iter 3 value 686.362977
+#> iter 4 value 686.361005
+#> iter 5 value 667.875904
+#> iter 6 value 666.061726
+#> iter 7 value 666.025465
+#> iter 8 value 666.025319
+#> iter 8 value 666.025319
+#> final value 666.025319
+#> converged
+#> This is Run number 267
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.1724730 0.3729927 -3.1275270 -12.227007 1
+#> 2 1 -0.35 -14.40 -0.2916247 0.6395709 -0.6416247 -13.760429 1
+#> 3 1 -12.20 -2.55 0.1521656 -0.2337892 -12.0478344 -2.783789 2
+#> 4 1 -2.30 -13.70 0.8249650 0.5374955 -1.4750350 -13.162504 1
+#> 5 1 -12.60 -7.80 -0.7557490 -0.8397867 -13.3557490 -8.639787 2
+#> 6 1 -7.60 -12.40 2.7695437 2.2498342 -4.8304563 -10.150166 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4200 -73600 15650
+#> initial value 998.131940
+#> iter 2 value 659.640656
+#> iter 3 value 659.339599
+#> iter 4 value 659.076949
+#> iter 5 value 636.756868
+#> iter 6 value 633.901464
+#> iter 7 value 633.812165
+#> iter 8 value 633.811270
+#> iter 8 value 633.811264
+#> final value 633.811264
+#> converged
+#> This is Run number 268
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.4258114 0.2420306 -5.7258114 -12.357969 1
+#> 2 1 -0.35 -14.40 1.1736004 1.4957275 0.8236004 -12.904273 1
+#> 3 1 -12.20 -2.55 1.4940269 2.7380940 -10.7059731 0.188094 2
+#> 4 1 -2.30 -13.70 6.2257400 -0.3583972 3.9257400 -14.058397 1
+#> 5 1 -12.60 -7.80 -0.4211050 -1.3393225 -13.0211050 -9.139323 2
+#> 6 1 -7.60 -12.40 -0.1417345 -0.3313833 -7.7417345 -12.731383 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4560 -74850 15325
+#> initial value 998.131940
+#> iter 2 value 648.552896
+#> iter 3 value 648.449736
+#> iter 4 value 648.407531
+#> iter 5 value 624.743284
+#> iter 6 value 621.612664
+#> iter 7 value 621.510008
+#> iter 8 value 621.508991
+#> iter 8 value 621.508983
+#> final value 621.508983
+#> converged
+#> This is Run number 269
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.3319042 -0.5991675 -5.6319042 -13.199167 1
+#> 2 1 -0.35 -14.40 0.9718041 0.7466109 0.6218041 -13.653389 1
+#> 3 1 -12.20 -2.55 2.3204149 -1.3231488 -9.8795851 -3.873149 2
+#> 4 1 -2.30 -13.70 -0.2922158 -0.1861512 -2.5922158 -13.886151 1
+#> 5 1 -12.60 -7.80 0.2096322 0.7658057 -12.3903678 -7.034194 2
+#> 6 1 -7.60 -12.40 2.1816560 0.8214174 -5.4183440 -11.578583 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -73075 14400
+#> initial value 998.131940
+#> iter 2 value 666.343210
+#> iter 3 value 666.332235
+#> iter 4 value 666.331303
+#> iter 5 value 644.960342
+#> iter 6 value 643.057460
+#> iter 7 value 643.010531
+#> iter 8 value 643.010320
+#> iter 8 value 643.010319
+#> final value 643.010319
+#> converged
+#> This is Run number 270
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.34734086 4.3744350 -5.6473409 -8.225565 1
+#> 2 1 -0.35 -14.40 -0.16405849 0.6448403 -0.5140585 -13.755160 1
+#> 3 1 -12.20 -2.55 1.82352439 -0.6770915 -10.3764756 -3.227091 2
+#> 4 1 -2.30 -13.70 -0.65989920 3.1410387 -2.9598992 -10.558961 1
+#> 5 1 -12.60 -7.80 1.58815190 -0.7950016 -11.0118481 -8.595002 2
+#> 6 1 -7.60 -12.40 -0.06239161 -0.2509470 -7.6623916 -12.650947 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -71325 13375
+#> initial value 998.131940
+#> iter 2 value 683.943861
+#> iter 3 value 683.786697
+#> iter 4 value 683.714834
+#> iter 5 value 665.000868
+#> iter 6 value 663.075814
+#> iter 7 value 663.036525
+#> iter 8 value 663.036359
+#> iter 8 value 663.036358
+#> final value 663.036358
+#> converged
+#> This is Run number 271
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.7220915 1.12296004 -2.577909 -11.477040 1
+#> 2 1 -0.35 -14.40 -0.8458574 1.44977201 -1.195857 -12.950228 1
+#> 3 1 -12.20 -2.55 2.0146100 -0.01906604 -10.185390 -2.569066 2
+#> 4 1 -2.30 -13.70 1.0031233 0.46721508 -1.296877 -13.232785 1
+#> 5 1 -12.60 -7.80 2.3412462 1.47285925 -10.258754 -6.327141 2
+#> 6 1 -7.60 -12.40 -0.7906379 1.49530756 -8.390638 -10.904692 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4340 -72225 15875
+#> initial value 998.131940
+#> iter 2 value 671.555390
+#> iter 3 value 671.221988
+#> iter 4 value 671.157254
+#> iter 5 value 650.507975
+#> iter 6 value 648.079038
+#> iter 7 value 648.014652
+#> iter 8 value 648.014179
+#> iter 8 value 648.014176
+#> final value 648.014176
+#> converged
+#> This is Run number 272
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.51489169 0.62718161 -3.7851083 -11.9728184 1
+#> 2 1 -0.35 -14.40 -0.13704729 0.55694088 -0.4870473 -13.8430591 1
+#> 3 1 -12.20 -2.55 -0.98608828 2.89161643 -13.1860883 0.3416164 2
+#> 4 1 -2.30 -13.70 -0.31700042 0.01811957 -2.6170004 -13.6818804 1
+#> 5 1 -12.60 -7.80 -0.04978131 1.67566248 -12.6497813 -6.1243375 2
+#> 6 1 -7.60 -12.40 1.50218693 -1.55645409 -6.0978131 -13.9564541 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4580 -72925 16050
+#> initial value 998.131940
+#> iter 2 value 664.772461
+#> iter 3 value 664.463169
+#> iter 4 value 664.457414
+#> iter 5 value 642.914414
+#> iter 6 value 640.386874
+#> iter 7 value 640.317046
+#> iter 8 value 640.316545
+#> iter 8 value 640.316542
+#> final value 640.316542
+#> converged
+#> This is Run number 273
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.266364025 1.7574417 -3.0336360 -10.8425583 1
+#> 2 1 -0.35 -14.40 0.565854396 -0.9494555 0.2158544 -15.3494555 1
+#> 3 1 -12.20 -2.55 0.051793577 2.2452226 -12.1482064 -0.3047774 2
+#> 4 1 -2.30 -13.70 -0.001593889 -0.1693477 -2.3015939 -13.8693477 1
+#> 5 1 -12.60 -7.80 3.544786050 -0.5566539 -9.0552139 -8.3566539 2
+#> 6 1 -7.60 -12.40 0.890662874 -0.2882854 -6.7093371 -12.6882854 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5120 -70700 14750
+#> initial value 998.131940
+#> iter 2 value 686.776850
+#> iter 3 value 686.659374
+#> iter 4 value 686.622076
+#> iter 5 value 668.088003
+#> iter 6 value 666.231179
+#> iter 7 value 666.193876
+#> iter 8 value 666.193747
+#> iter 8 value 666.193747
+#> final value 666.193747
+#> converged
+#> This is Run number 274
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.4810309 0.5512813 -3.8189691 -12.0487187 1
+#> 2 1 -0.35 -14.40 1.1783659 -0.6304206 0.8283659 -15.0304206 1
+#> 3 1 -12.20 -2.55 5.2020307 2.0753902 -6.9979693 -0.4746098 2
+#> 4 1 -2.30 -13.70 0.2929851 1.5897270 -2.0070149 -12.1102730 1
+#> 5 1 -12.60 -7.80 -0.5086263 1.7165158 -13.1086263 -6.0834842 2
+#> 6 1 -7.60 -12.40 0.2433714 1.7247688 -7.3566286 -10.6752312 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4660 -73875 15200
+#> initial value 998.131940
+#> iter 2 value 657.764614
+#> iter 3 value 657.709562
+#> iter 4 value 657.662867
+#> iter 5 value 635.448873
+#> iter 6 value 632.690865
+#> iter 7 value 632.611726
+#> iter 8 value 632.611111
+#> iter 8 value 632.611107
+#> final value 632.611107
+#> converged
+#> This is Run number 275
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.11993393 0.0739470 -2.1800661 -12.5260530 1
+#> 2 1 -0.35 -14.40 0.71857050 -0.4373191 0.3685705 -14.8373191 1
+#> 3 1 -12.20 -2.55 6.23539922 2.7988565 -5.9646008 0.2488565 2
+#> 4 1 -2.30 -13.70 -0.33447449 5.2625241 -2.6344745 -8.4374759 1
+#> 5 1 -12.60 -7.80 0.00926264 0.4349388 -12.5907374 -7.3650612 2
+#> 6 1 -7.60 -12.40 0.11882900 -0.9574319 -7.4811710 -13.3574319 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -71200 14775
+#> initial value 998.131940
+#> iter 2 value 682.547704
+#> iter 3 value 682.514088
+#> iter 4 value 682.506503
+#> iter 5 value 663.536070
+#> iter 6 value 661.595465
+#> iter 7 value 661.554646
+#> iter 8 value 661.554472
+#> iter 8 value 661.554471
+#> final value 661.554471
+#> converged
+#> This is Run number 276
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1599026 1.2794038 -4.1400974 -11.320596 1
+#> 2 1 -0.35 -14.40 1.1628253 -0.3183784 0.8128253 -14.718378 1
+#> 3 1 -12.20 -2.55 3.7186281 0.7386172 -8.4813719 -1.811383 2
+#> 4 1 -2.30 -13.70 -0.5182213 0.8308306 -2.8182213 -12.869169 1
+#> 5 1 -12.60 -7.80 -0.1598604 0.2802477 -12.7598604 -7.519752 2
+#> 6 1 -7.60 -12.40 -0.7336827 -1.0123048 -8.3336827 -13.412305 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4480 -73250 14850
+#> initial value 998.131940
+#> iter 2 value 664.235538
+#> iter 3 value 664.126354
+#> iter 4 value 664.061619
+#> iter 5 value 642.611134
+#> iter 6 value 640.043872
+#> iter 7 value 639.974750
+#> iter 8 value 639.974222
+#> iter 8 value 639.974218
+#> final value 639.974218
+#> converged
+#> This is Run number 277
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.5854151 0.6096903 -4.8854151 -11.9903097 1
+#> 2 1 -0.35 -14.40 -0.1031683 -0.4326693 -0.4531683 -14.8326693 1
+#> 3 1 -12.20 -2.55 1.3682331 2.4296566 -10.8317669 -0.1203434 2
+#> 4 1 -2.30 -13.70 0.5600730 0.3876254 -1.7399270 -13.3123746 1
+#> 5 1 -12.60 -7.80 -0.3843244 -1.4238849 -12.9843244 -9.2238849 2
+#> 6 1 -7.60 -12.40 -0.8349271 -1.3040315 -8.4349271 -13.7040315 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3940 -73675 13550
+#> initial value 998.131940
+#> iter 2 value 662.854470
+#> iter 3 value 662.079991
+#> iter 4 value 661.498228
+#> iter 5 value 638.875432
+#> iter 6 value 636.043047
+#> iter 7 value 635.950598
+#> iter 8 value 635.949661
+#> iter 8 value 635.949653
+#> final value 635.949653
+#> converged
+#> This is Run number 278
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.2874524 0.07298737 -3.0125476 -12.527013 1
+#> 2 1 -0.35 -14.40 -0.2947635 0.36574374 -0.6447635 -14.034256 1
+#> 3 1 -12.20 -2.55 -1.7322384 -0.54529405 -13.9322384 -3.095294 2
+#> 4 1 -2.30 -13.70 -1.0373738 -0.31151032 -3.3373738 -14.011510 1
+#> 5 1 -12.60 -7.80 0.1953451 1.55102231 -12.4046549 -6.248978 2
+#> 6 1 -7.60 -12.40 2.1078125 0.73187458 -5.4921875 -11.668125 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5700 -72350 12675
+#> initial value 998.131940
+#> iter 2 value 675.192404
+#> iter 3 value 674.519822
+#> iter 4 value 674.317451
+#> iter 5 value 654.605555
+#> iter 6 value 652.527859
+#> iter 7 value 652.485371
+#> iter 8 value 652.485253
+#> iter 8 value 652.485253
+#> final value 652.485253
+#> converged
+#> This is Run number 279
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.7711257 -0.7257621 -3.5288743 -13.325762 1
+#> 2 1 -0.35 -14.40 -0.2361099 1.0367443 -0.5861099 -13.363256 1
+#> 3 1 -12.20 -2.55 -0.2068277 -0.2183102 -12.4068277 -2.768310 2
+#> 4 1 -2.30 -13.70 3.3639521 -0.1209189 1.0639521 -13.820919 1
+#> 5 1 -12.60 -7.80 -0.2006175 0.8881665 -12.8006175 -6.911833 2
+#> 6 1 -7.60 -12.40 0.9436148 0.7057107 -6.6563852 -11.694289 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4160 -72275 15800
+#> initial value 998.131940
+#> iter 2 value 671.348018
+#> iter 3 value 670.972810
+#> iter 4 value 670.786842
+#> iter 5 value 650.028152
+#> iter 6 value 647.548510
+#> iter 7 value 647.480220
+#> iter 8 value 647.479659
+#> iter 8 value 647.479656
+#> final value 647.479656
+#> converged
+#> This is Run number 280
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.7531815 0.06541917 -3.5468185 -12.534581 1
+#> 2 1 -0.35 -14.40 -0.1040301 -0.30354638 -0.4540301 -14.703546 1
+#> 3 1 -12.20 -2.55 -0.8992754 0.70701856 -13.0992754 -1.842981 2
+#> 4 1 -2.30 -13.70 -0.5216838 0.31449146 -2.8216838 -13.385509 1
+#> 5 1 -12.60 -7.80 -0.1410658 -0.25747473 -12.7410658 -8.057475 2
+#> 6 1 -7.60 -12.40 0.7322901 0.04819527 -6.8677099 -12.351805 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -72025 12900
+#> initial value 998.131940
+#> iter 2 value 678.379802
+#> iter 3 value 678.000501
+#> iter 4 value 677.919457
+#> iter 5 value 658.527514
+#> iter 6 value 656.473300
+#> iter 7 value 656.429485
+#> iter 8 value 656.429302
+#> iter 8 value 656.429301
+#> final value 656.429301
+#> converged
+#> This is Run number 281
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.7531084 -0.7387696 -5.0531084 -13.338770 1
+#> 2 1 -0.35 -14.40 0.9118968 -0.1381466 0.5618968 -14.538147 1
+#> 3 1 -12.20 -2.55 -0.3000412 0.5125528 -12.5000412 -2.037447 2
+#> 4 1 -2.30 -13.70 1.0282911 0.9980335 -1.2717089 -12.701966 1
+#> 5 1 -12.60 -7.80 1.8660079 0.1950132 -10.7339921 -7.604987 2
+#> 6 1 -7.60 -12.40 1.5507427 -0.4256016 -6.0492573 -12.825602 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3640 -71900 14575
+#> initial value 998.131940
+#> iter 2 value 677.267983
+#> iter 3 value 675.833057
+#> iter 4 value 675.570565
+#> iter 5 value 655.295247
+#> iter 6 value 652.911559
+#> iter 7 value 652.845497
+#> iter 8 value 652.844832
+#> iter 8 value 652.844827
+#> final value 652.844827
+#> converged
+#> This is Run number 282
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.06495321 -0.1751453 -4.2350468 -12.775145 1
+#> 2 1 -0.35 -14.40 1.13237727 1.4858216 0.7823773 -12.914178 1
+#> 3 1 -12.20 -2.55 2.66002438 -1.2861553 -9.5399756 -3.836155 2
+#> 4 1 -2.30 -13.70 1.06456744 0.2069944 -1.2354326 -13.493006 1
+#> 5 1 -12.60 -7.80 -0.78240638 1.3020703 -13.3824064 -6.497930 2
+#> 6 1 -7.60 -12.40 1.73404027 -0.7008166 -5.8659597 -13.100817 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -75850 14750
+#> initial value 998.131940
+#> iter 2 value 640.117374
+#> iter 3 value 640.115346
+#> iter 4 value 640.041938
+#> iter 5 value 615.249419
+#> iter 6 value 611.875873
+#> iter 7 value 611.759299
+#> iter 8 value 611.758144
+#> iter 8 value 611.758135
+#> final value 611.758135
+#> converged
+#> This is Run number 283
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.05352599 -1.12600489 -4.353526 -13.726005 1
+#> 2 1 -0.35 -14.40 -0.87363666 -1.58536451 -1.223637 -15.985365 1
+#> 3 1 -12.20 -2.55 0.92403265 -0.32728271 -11.275967 -2.877283 2
+#> 4 1 -2.30 -13.70 -0.74758387 -0.08369261 -3.047584 -13.783693 1
+#> 5 1 -12.60 -7.80 1.89591693 -1.48781215 -10.704083 -9.287812 2
+#> 6 1 -7.60 -12.40 -0.41579377 -0.48254878 -8.015794 -12.882549 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4480 -71025 14300
+#> initial value 998.131940
+#> iter 2 value 685.128201
+#> iter 3 value 685.039580
+#> iter 4 value 685.025571
+#> iter 5 value 666.364817
+#> iter 6 value 664.429519
+#> iter 7 value 664.388809
+#> iter 8 value 664.388609
+#> iter 8 value 664.388607
+#> final value 664.388607
+#> converged
+#> This is Run number 284
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.80470723 0.9424057 -3.4952928 -11.65759430 1
+#> 2 1 -0.35 -14.40 -0.34502633 2.6109096 -0.6950263 -11.78909039 1
+#> 3 1 -12.20 -2.55 1.55110680 2.4735387 -10.6488932 -0.07646133 2
+#> 4 1 -2.30 -13.70 1.68063222 -0.9687130 -0.6193678 -14.66871296 1
+#> 5 1 -12.60 -7.80 -0.03716031 0.5920450 -12.6371603 -7.20795501 2
+#> 6 1 -7.60 -12.40 -0.56446010 0.6098909 -8.1644601 -11.79010911 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4480 -73250 14250
+#> initial value 998.131940
+#> iter 2 value 665.314325
+#> iter 3 value 665.207228
+#> iter 4 value 665.103952
+#> iter 5 value 643.737221
+#> iter 6 value 641.222263
+#> iter 7 value 641.154120
+#> iter 8 value 641.153631
+#> iter 8 value 641.153628
+#> final value 641.153628
+#> converged
+#> This is Run number 285
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.4339867 1.0080523 -3.8660133 -11.591948 1
+#> 2 1 -0.35 -14.40 0.9550196 -0.5618812 0.6050196 -14.961881 1
+#> 3 1 -12.20 -2.55 1.6875461 -0.2632363 -10.5124539 -2.813236 2
+#> 4 1 -2.30 -13.70 1.7073922 -0.3459365 -0.5926078 -14.045936 1
+#> 5 1 -12.60 -7.80 0.6109411 0.4237952 -11.9890589 -7.376205 2
+#> 6 1 -7.60 -12.40 0.0735879 -0.6706889 -7.5264121 -13.070689 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4420 -70825 15725
+#> initial value 998.131940
+#> iter 2 value 684.203876
+#> iter 3 value 683.871390
+#> iter 4 value 683.866481
+#> iter 5 value 664.791937
+#> iter 6 value 662.817281
+#> iter 7 value 662.772766
+#> iter 8 value 662.772529
+#> iter 8 value 662.772527
+#> final value 662.772527
+#> converged
+#> This is Run number 286
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.4108506 -0.04796711 -2.8891494 -12.647967 1
+#> 2 1 -0.35 -14.40 0.8448845 -0.49030561 0.4948845 -14.890306 1
+#> 3 1 -12.20 -2.55 -0.8990255 -0.53810028 -13.0990255 -3.088100 2
+#> 4 1 -2.30 -13.70 0.3811940 0.97678719 -1.9188060 -12.723213 1
+#> 5 1 -12.60 -7.80 -1.4286323 -0.48368908 -14.0286323 -8.283689 2
+#> 6 1 -7.60 -12.40 0.6867442 -0.07935774 -6.9132558 -12.479358 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4960 -72525 13125
+#> initial value 998.131940
+#> iter 2 value 673.454349
+#> iter 3 value 673.148267
+#> iter 4 value 673.124308
+#> iter 5 value 653.155150
+#> iter 6 value 650.998344
+#> iter 7 value 650.950581
+#> iter 8 value 650.950380
+#> iter 8 value 650.950379
+#> final value 650.950379
+#> converged
+#> This is Run number 287
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.8123434 -0.09564205 -5.1123434 -12.695642 1
+#> 2 1 -0.35 -14.40 0.3637601 6.43872560 0.0137601 -7.961274 1
+#> 3 1 -12.20 -2.55 -0.5731078 0.14453673 -12.7731078 -2.405463 2
+#> 4 1 -2.30 -13.70 0.5825636 0.04525889 -1.7174364 -13.654741 1
+#> 5 1 -12.60 -7.80 -0.1935624 2.40698526 -12.7935624 -5.393015 2
+#> 6 1 -7.60 -12.40 -0.3552843 -0.81826349 -7.9552843 -13.218263 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4900 -70000 12900
+#> initial value 998.131940
+#> iter 2 value 696.124496
+#> iter 3 value 695.920043
+#> iter 4 value 695.919932
+#> iter 5 value 678.973689
+#> iter 6 value 677.134302
+#> iter 7 value 677.097432
+#> iter 8 value 677.097325
+#> iter 8 value 677.097325
+#> final value 677.097325
+#> converged
+#> This is Run number 288
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.6818337 3.3017248 -3.618166 -9.298275 1
+#> 2 1 -0.35 -14.40 -0.8736021 2.1277578 -1.223602 -12.272242 1
+#> 3 1 -12.20 -2.55 0.9594359 0.1672122 -11.240564 -2.382788 2
+#> 4 1 -2.30 -13.70 -0.3948726 0.7192182 -2.694873 -12.980782 1
+#> 5 1 -12.60 -7.80 -0.1395584 0.5057452 -12.739558 -7.294255 2
+#> 6 1 -7.60 -12.40 1.1671638 0.4146611 -6.432836 -11.985339 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4180 -69525 13975
+#> initial value 998.131940
+#> iter 2 value 698.866446
+#> iter 3 value 698.590236
+#> iter 4 value 698.575867
+#> iter 5 value 681.467699
+#> iter 6 value 679.825909
+#> iter 7 value 679.795202
+#> iter 8 value 679.795064
+#> iter 8 value 679.795063
+#> final value 679.795063
+#> converged
+#> This is Run number 289
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.6523996 -0.8070482310 -4.952400 -13.407048 1
+#> 2 1 -0.35 -14.40 1.7830951 1.1633497333 1.433095 -13.236650 1
+#> 3 1 -12.20 -2.55 3.1607307 0.2438554325 -9.039269 -2.306145 2
+#> 4 1 -2.30 -13.70 0.7770706 -0.9651747228 -1.522929 -14.665175 1
+#> 5 1 -12.60 -7.80 2.4988776 1.2722879362 -10.101122 -6.527712 2
+#> 6 1 -7.60 -12.40 -0.6902810 -0.0002681709 -8.290281 -12.400268 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -72425 15375
+#> initial value 998.131940
+#> iter 2 value 670.583050
+#> iter 3 value 670.475421
+#> iter 4 value 670.473429
+#> iter 5 value 649.715388
+#> iter 6 value 647.570031
+#> iter 7 value 647.516247
+#> iter 8 value 647.515939
+#> iter 8 value 647.515937
+#> final value 647.515937
+#> converged
+#> This is Run number 290
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.01051607 -0.85868110 -4.2894839 -13.458681 1
+#> 2 1 -0.35 -14.40 -0.10988724 -0.00734228 -0.4598872 -14.407342 1
+#> 3 1 -12.20 -2.55 2.26392773 4.69180185 -9.9360723 2.141802 2
+#> 4 1 -2.30 -13.70 -0.81615202 2.13435578 -3.1161520 -11.565644 1
+#> 5 1 -12.60 -7.80 -0.30736309 0.91599566 -12.9073631 -6.884004 2
+#> 6 1 -7.60 -12.40 -1.11188355 -0.97286578 -8.7118835 -13.372866 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4860 -71625 13075
+#> initial value 998.131940
+#> iter 2 value 681.640937
+#> iter 3 value 681.383743
+#> iter 4 value 681.355802
+#> iter 5 value 662.400626
+#> iter 6 value 660.451393
+#> iter 7 value 660.411657
+#> iter 8 value 660.411506
+#> iter 8 value 660.411505
+#> final value 660.411505
+#> converged
+#> This is Run number 291
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1933689 -0.57434943 -4.106631 -13.174349 1
+#> 2 1 -0.35 -14.40 2.2167765 -0.01055748 1.866777 -14.410557 1
+#> 3 1 -12.20 -2.55 0.2060452 -0.65607835 -11.993955 -3.206078 2
+#> 4 1 -2.30 -13.70 0.7605050 2.44407207 -1.539495 -11.255928 1
+#> 5 1 -12.60 -7.80 0.1992783 -0.85678876 -12.400722 -8.656789 2
+#> 6 1 -7.60 -12.40 1.1503664 -0.66965274 -6.449634 -13.069653 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5040 -72850 14150
+#> initial value 998.131940
+#> iter 2 value 668.794317
+#> iter 3 value 668.759120
+#> iter 4 value 668.756820
+#> iter 5 value 648.039079
+#> iter 6 value 645.915955
+#> iter 7 value 645.866050
+#> iter 8 value 645.865827
+#> iter 8 value 645.865826
+#> final value 645.865826
+#> converged
+#> This is Run number 292
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.6236511 -0.4909132 -4.923651 -13.090913 1
+#> 2 1 -0.35 -14.40 -0.7465997 1.7108412 -1.096600 -12.689159 1
+#> 3 1 -12.20 -2.55 -0.2539277 -0.3036221 -12.453928 -2.853622 2
+#> 4 1 -2.30 -13.70 -0.5192938 0.4007640 -2.819294 -13.299236 1
+#> 5 1 -12.60 -7.80 2.1714952 1.3358818 -10.428505 -6.464118 2
+#> 6 1 -7.60 -12.40 1.2859352 0.4560767 -6.314065 -11.943923 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -73750 15350
+#> initial value 998.131940
+#> iter 2 value 658.644771
+#> iter 3 value 658.562224
+#> iter 4 value 658.510867
+#> iter 5 value 636.381836
+#> iter 6 value 633.635808
+#> iter 7 value 633.556968
+#> iter 8 value 633.556348
+#> iter 8 value 633.556344
+#> final value 633.556344
+#> converged
+#> This is Run number 293
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.07347183 0.05379745 -4.226528 -12.546203 1
+#> 2 1 -0.35 -14.40 1.88632045 -0.55675752 1.536320 -14.956758 1
+#> 3 1 -12.20 -2.55 1.91515640 -0.35523243 -10.284844 -2.905232 2
+#> 4 1 -2.30 -13.70 -0.05138902 1.67101570 -2.351389 -12.028984 1
+#> 5 1 -12.60 -7.80 0.17659562 1.90858311 -12.423404 -5.891417 2
+#> 6 1 -7.60 -12.40 -1.02745296 1.29195559 -8.627453 -11.108044 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5220 -72575 15300
+#> initial value 998.131940
+#> iter 2 value 669.046038
+#> iter 3 value 668.896014
+#> iter 4 value 668.764267
+#> iter 5 value 648.084782
+#> iter 6 value 645.740444
+#> iter 7 value 645.683923
+#> iter 8 value 645.683656
+#> iter 8 value 645.683655
+#> final value 645.683655
+#> converged
+#> This is Run number 294
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1403499 -0.7278523 -4.159650 -13.327852 1
+#> 2 1 -0.35 -14.40 1.7421703 -0.8877580 1.392170 -15.287758 1
+#> 3 1 -12.20 -2.55 6.1624024 0.2730996 -6.037598 -2.276900 2
+#> 4 1 -2.30 -13.70 0.2202458 -0.4716666 -2.079754 -14.171667 1
+#> 5 1 -12.60 -7.80 0.7610779 -0.1209669 -11.838922 -7.920967 2
+#> 6 1 -7.60 -12.40 0.9884097 1.0984078 -6.611590 -11.301592 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4640 -72425 14050
+#> initial value 998.131940
+#> iter 2 value 673.036440
+#> iter 3 value 672.967330
+#> iter 4 value 672.908940
+#> iter 5 value 652.777237
+#> iter 6 value 650.539067
+#> iter 7 value 650.486862
+#> iter 8 value 650.486575
+#> iter 8 value 650.486573
+#> final value 650.486573
+#> converged
+#> This is Run number 295
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.5809731 -0.3470691 -4.8809731 -12.947069 1
+#> 2 1 -0.35 -14.40 0.4703875 -0.6932733 0.1203875 -15.093273 1
+#> 3 1 -12.20 -2.55 0.1035624 0.2567375 -12.0964376 -2.293263 2
+#> 4 1 -2.30 -13.70 2.8191424 -0.6737533 0.5191424 -14.373753 1
+#> 5 1 -12.60 -7.80 5.9862286 0.4138527 -6.6137714 -7.386147 1
+#> 6 1 -7.60 -12.40 1.9995250 2.8791753 -5.6004750 -9.520825 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -70375 15225
+#> initial value 998.131940
+#> iter 2 value 689.171396
+#> iter 3 value 688.971179
+#> iter 4 value 688.932583
+#> iter 5 value 670.587366
+#> iter 6 value 668.689634
+#> iter 7 value 668.649325
+#> iter 8 value 668.649117
+#> iter 8 value 668.649116
+#> final value 668.649116
+#> converged
+#> This is Run number 296
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.14941998 -1.4109570 -2.1505800 -14.010957 1
+#> 2 1 -0.35 -14.40 0.84274033 1.2553873 0.4927403 -13.144613 1
+#> 3 1 -12.20 -2.55 0.03514083 -0.5065633 -12.1648592 -3.056563 2
+#> 4 1 -2.30 -13.70 -0.53665175 -0.6429948 -2.8366518 -14.342995 1
+#> 5 1 -12.60 -7.80 0.97011317 1.3382197 -11.6298868 -6.461780 2
+#> 6 1 -7.60 -12.40 -0.16359687 1.9057232 -7.7635969 -10.494277 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3920 -74075 14950
+#> initial value 998.131940
+#> iter 2 value 656.752081
+#> iter 3 value 655.538436
+#> iter 4 value 655.340706
+#> iter 5 value 632.471043
+#> iter 6 value 629.445805
+#> iter 7 value 629.344822
+#> iter 8 value 629.343580
+#> iter 9 value 629.343569
+#> iter 9 value 629.343563
+#> iter 9 value 629.343562
+#> final value 629.343562
+#> converged
+#> This is Run number 297
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.3027967 3.31667806 -1.9972033 -9.283322 1
+#> 2 1 -0.35 -14.40 1.3589812 1.03198277 1.0089812 -13.368017 1
+#> 3 1 -12.20 -2.55 -0.4213476 0.50974597 -12.6213476 -2.040254 2
+#> 4 1 -2.30 -13.70 2.0519173 0.42777525 -0.2480827 -13.272225 1
+#> 5 1 -12.60 -7.80 -1.0774034 0.03062301 -13.6774034 -7.769377 2
+#> 6 1 -7.60 -12.40 0.3297298 1.17572915 -7.2702702 -11.224271 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4060 -70025 15275
+#> initial value 998.131940
+#> iter 2 value 692.229907
+#> iter 3 value 691.919822
+#> iter 4 value 691.771069
+#> iter 5 value 673.672275
+#> iter 6 value 671.796176
+#> iter 7 value 671.755667
+#> iter 8 value 671.755434
+#> iter 8 value 671.755433
+#> final value 671.755433
+#> converged
+#> This is Run number 298
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.07944056 0.1700376 -3.220559 -12.429962 1
+#> 2 1 -0.35 -14.40 2.12263257 1.8253591 1.772633 -12.574641 1
+#> 3 1 -12.20 -2.55 -0.73764848 -0.5523033 -12.937648 -3.102303 2
+#> 4 1 -2.30 -13.70 0.09198204 0.3061669 -2.208018 -13.393833 1
+#> 5 1 -12.60 -7.80 0.87970844 1.7418949 -11.720292 -6.058105 2
+#> 6 1 -7.60 -12.40 1.36695994 -0.6965812 -6.233040 -13.096581 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -72500 14475
+#> initial value 998.131940
+#> iter 2 value 671.478304
+#> iter 3 value 671.477403
+#> iter 4 value 671.477157
+#> iter 5 value 649.363206
+#> iter 6 value 648.929363
+#> iter 7 value 648.917959
+#> iter 8 value 648.917928
+#> iter 8 value 648.917928
+#> final value 648.917928
+#> converged
+#> This is Run number 299
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2962504 -1.0781846 -4.5962504 -13.678185 1
+#> 2 1 -0.35 -14.40 0.2316828 0.1394582 -0.1183172 -14.260542 1
+#> 3 1 -12.20 -2.55 0.7702702 0.6782994 -11.4297298 -1.871701 2
+#> 4 1 -2.30 -13.70 -1.3193476 1.5223739 -3.6193476 -12.177626 1
+#> 5 1 -12.60 -7.80 0.5496931 0.6788034 -12.0503069 -7.121197 2
+#> 6 1 -7.60 -12.40 1.2475794 -0.9063145 -6.3524206 -13.306314 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4140 -72175 14075
+#> initial value 998.131940
+#> iter 2 value 675.489537
+#> iter 3 value 674.877440
+#> iter 4 value 674.738612
+#> iter 5 value 654.648246
+#> iter 6 value 652.370845
+#> iter 7 value 652.313538
+#> iter 8 value 652.313132
+#> iter 8 value 652.313129
+#> final value 652.313129
+#> converged
+#> This is Run number 300
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.8808303 -0.5285871 -3.4191697 -13.128587 1
+#> 2 1 -0.35 -14.40 -0.3985891 -1.8113881 -0.7485891 -16.211388 1
+#> 3 1 -12.20 -2.55 0.6553991 -0.9020090 -11.5446009 -3.452009 2
+#> 4 1 -2.30 -13.70 -0.5189558 -0.3455928 -2.8189558 -14.045593 1
+#> 5 1 -12.60 -7.80 0.1555583 -0.1231413 -12.4444417 -7.923141 2
+#> 6 1 -7.60 -12.40 -0.6373460 0.5756532 -8.2373460 -11.824347 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -70300 14825
+#> initial value 998.131940
+#> iter 2 value 690.308443
+#> iter 3 value 690.227769
+#> iter 4 value 690.189213
+#> iter 5 value 672.171264
+#> iter 6 value 670.380076
+#> iter 7 value 670.345519
+#> iter 8 value 670.345392
+#> iter 8 value 670.345391
+#> final value 670.345391
+#> converged
+#> This is Run number 301
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.1350804 0.8851343 -3.1649196 -11.714866 1
+#> 2 1 -0.35 -14.40 0.2057545 0.9146092 -0.1442455 -13.485391 1
+#> 3 1 -12.20 -2.55 0.4476733 0.7531223 -11.7523267 -1.796878 2
+#> 4 1 -2.30 -13.70 1.3711976 -0.3743289 -0.9288024 -14.074329 1
+#> 5 1 -12.60 -7.80 0.6039798 -0.1632154 -11.9960202 -7.963215 2
+#> 6 1 -7.60 -12.40 1.2243944 -0.3061152 -6.3756056 -12.706115 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5420 -73750 15125
+#> initial value 998.131940
+#> iter 2 value 658.574115
+#> iter 3 value 658.375113
+#> iter 4 value 658.291743
+#> iter 5 value 636.309800
+#> iter 6 value 633.682991
+#> iter 7 value 633.615344
+#> iter 8 value 633.614995
+#> iter 8 value 633.614993
+#> final value 633.614993
+#> converged
+#> This is Run number 302
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.1338614 -1.50229759 -4.4338614 -14.102298 1
+#> 2 1 -0.35 -14.40 0.5993725 -0.94663355 0.2493725 -15.346634 1
+#> 3 1 -12.20 -2.55 2.2087921 -0.18945096 -9.9912079 -2.739451 2
+#> 4 1 -2.30 -13.70 -0.6579997 0.58975987 -2.9579997 -13.110240 1
+#> 5 1 -12.60 -7.80 -0.4929623 0.66136612 -13.0929623 -7.138634 2
+#> 6 1 -7.60 -12.40 1.2533308 0.06969474 -6.3466692 -12.330305 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -72075 13125
+#> initial value 998.131940
+#> iter 2 value 677.505305
+#> iter 3 value 677.236273
+#> iter 4 value 677.219273
+#> iter 5 value 657.757783
+#> iter 6 value 655.716999
+#> iter 7 value 655.673757
+#> iter 8 value 655.673587
+#> iter 8 value 655.673587
+#> final value 655.673587
+#> converged
+#> This is Run number 303
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.4497438 1.6854381 -1.8502562 -10.914562 1
+#> 2 1 -0.35 -14.40 1.5817125 2.0113046 1.2317125 -12.388695 1
+#> 3 1 -12.20 -2.55 -0.7353407 -0.8314819 -12.9353407 -3.381482 2
+#> 4 1 -2.30 -13.70 2.0957003 0.7632774 -0.2042997 -12.936723 1
+#> 5 1 -12.60 -7.80 -0.5206775 -1.0379903 -13.1206775 -8.837990 2
+#> 6 1 -7.60 -12.40 -0.8414909 -0.4550326 -8.4414909 -12.855033 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4040 -71550 15175
+#> initial value 998.131940
+#> iter 2 value 679.095775
+#> iter 3 value 678.808825
+#> iter 4 value 678.558364
+#> iter 5 value 658.754880
+#> iter 6 value 656.516846
+#> iter 7 value 656.459682
+#> iter 8 value 656.459248
+#> iter 8 value 656.459246
+#> final value 656.459246
+#> converged
+#> This is Run number 304
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.94660983 1.1101118 -3.3533902 -11.489888 1
+#> 2 1 -0.35 -14.40 1.83882387 0.6360577 1.4888239 -13.763942 1
+#> 3 1 -12.20 -2.55 0.94724169 -0.1211945 -11.2527583 -2.671195 2
+#> 4 1 -2.30 -13.70 2.19157220 -0.7847739 -0.1084278 -14.484774 1
+#> 5 1 -12.60 -7.80 0.01988784 -1.6893389 -12.5801122 -9.489339 2
+#> 6 1 -7.60 -12.40 4.42522970 1.1246218 -3.1747703 -11.275378 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -72725 14850
+#> initial value 998.131940
+#> iter 2 value 668.884317
+#> iter 3 value 668.859752
+#> iter 4 value 668.838752
+#> iter 5 value 648.142674
+#> iter 6 value 645.772774
+#> iter 7 value 645.713496
+#> iter 8 value 645.713134
+#> iter 8 value 645.713132
+#> final value 645.713132
+#> converged
+#> This is Run number 305
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.1003863 3.01097083 -3.199614 -9.589029 1
+#> 2 1 -0.35 -14.40 1.3704185 1.68533034 1.020418 -12.714670 1
+#> 3 1 -12.20 -2.55 -0.6622231 1.14830060 -12.862223 -1.401699 2
+#> 4 1 -2.30 -13.70 0.2178820 -0.90470878 -2.082118 -14.604709 1
+#> 5 1 -12.60 -7.80 2.5020377 0.22112112 -10.097962 -7.578879 2
+#> 6 1 -7.60 -12.40 -0.3834629 0.07793818 -7.983463 -12.322062 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4280 -72825 12925
+#> initial value 998.131940
+#> iter 2 value 671.422850
+#> iter 3 value 670.733129
+#> iter 4 value 670.159158
+#> iter 5 value 649.458375
+#> iter 6 value 647.090333
+#> iter 7 value 647.030893
+#> iter 8 value 647.030495
+#> iter 8 value 647.030492
+#> final value 647.030492
+#> converged
+#> This is Run number 306
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.4412168 0.6782692 -3.858783 -11.9217308 1
+#> 2 1 -0.35 -14.40 -1.2604351 0.6195563 -1.610435 -13.7804437 1
+#> 3 1 -12.20 -2.55 -1.2876512 2.8645561 -13.487651 0.3145561 2
+#> 4 1 -2.30 -13.70 0.6265233 -0.3870165 -1.673477 -14.0870165 1
+#> 5 1 -12.60 -7.80 -0.3818455 -1.7394617 -12.981846 -9.5394617 2
+#> 6 1 -7.60 -12.40 -0.1350732 -0.4277542 -7.735073 -12.8277542 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4740 -73550 13550
+#> initial value 998.131940
+#> iter 2 value 663.608110
+#> iter 3 value 663.344733
+#> iter 4 value 663.201955
+#> iter 5 value 641.880168
+#> iter 6 value 639.372964
+#> iter 7 value 639.308829
+#> iter 8 value 639.308442
+#> iter 8 value 639.308440
+#> final value 639.308440
+#> converged
+#> This is Run number 307
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.4668175 -0.15151849 -3.8331825 -12.751518 1
+#> 2 1 -0.35 -14.40 1.5504343 0.88443528 1.2004343 -13.515565 1
+#> 3 1 -12.20 -2.55 1.1949489 0.95244060 -11.0050511 -1.597559 2
+#> 4 1 -2.30 -13.70 1.7870753 -0.69876176 -0.5129247 -14.398762 1
+#> 5 1 -12.60 -7.80 2.0401885 0.03672736 -10.5598115 -7.763273 2
+#> 6 1 -7.60 -12.40 1.0883263 0.17657114 -6.5116737 -12.223429 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4980 -71950 14050
+#> initial value 998.131940
+#> iter 2 value 677.087420
+#> iter 3 value 677.060302
+#> iter 4 value 677.056316
+#> iter 5 value 657.474846
+#> iter 6 value 655.487248
+#> iter 7 value 655.444552
+#> iter 8 value 655.444381
+#> iter 8 value 655.444380
+#> final value 655.444380
+#> converged
+#> This is Run number 308
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.04963971 3.1875562 -4.2503603 -9.4124438 1
+#> 2 1 -0.35 -14.40 0.56774347 -0.2652690 0.2177435 -14.6652690 1
+#> 3 1 -12.20 -2.55 1.43922148 2.0428952 -10.7607785 -0.5071048 2
+#> 4 1 -2.30 -13.70 -1.07452934 0.8447218 -3.3745293 -12.8552782 1
+#> 5 1 -12.60 -7.80 -1.22868217 0.5425980 -13.8286822 -7.2574020 2
+#> 6 1 -7.60 -12.40 -0.32765052 -0.2090900 -7.9276505 -12.6090900 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3920 -70025 14775
+#> initial value 998.131940
+#> iter 2 value 693.246202
+#> iter 3 value 692.972978
+#> iter 4 value 692.766081
+#> iter 5 value 674.637404
+#> iter 6 value 672.779839
+#> iter 7 value 672.738981
+#> iter 8 value 672.738728
+#> iter 8 value 672.738727
+#> final value 672.738727
+#> converged
+#> This is Run number 309
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.1663769 3.35006211 -2.13362310 -9.249938 1
+#> 2 1 -0.35 -14.40 0.2618868 0.61020758 -0.08811324 -13.789792 1
+#> 3 1 -12.20 -2.55 1.4128365 -0.04031798 -10.78716347 -2.590318 2
+#> 4 1 -2.30 -13.70 0.9564685 0.42245143 -1.34353151 -13.277549 1
+#> 5 1 -12.60 -7.80 1.9167457 -0.36639195 -10.68325429 -8.166392 2
+#> 6 1 -7.60 -12.40 0.5919632 3.66893612 -7.00803681 -8.731064 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4980 -74475 15125
+#> initial value 998.131940
+#> iter 2 value 652.181726
+#> iter 3 value 652.175224
+#> iter 4 value 652.175067
+#> iter 5 value 626.825430
+#> iter 6 value 626.388268
+#> iter 7 value 626.375025
+#> iter 8 value 626.375014
+#> iter 8 value 626.375014
+#> final value 626.375014
+#> converged
+#> This is Run number 310
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.38011793 -0.9337125 -3.919882 -13.533713 1
+#> 2 1 -0.35 -14.40 -1.16190623 -1.4664499 -1.511906 -15.866450 1
+#> 3 1 -12.20 -2.55 -0.39957010 1.4369974 -12.599570 -1.113003 2
+#> 4 1 -2.30 -13.70 0.60833037 -0.5543104 -1.691670 -14.254310 1
+#> 5 1 -12.60 -7.80 0.64872281 0.1408607 -11.951277 -7.659139 2
+#> 6 1 -7.60 -12.40 -0.06752206 -0.3504345 -7.667522 -12.750434 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4560 -73325 15050
+#> initial value 998.131940
+#> iter 2 value 663.135982
+#> iter 3 value 663.069522
+#> iter 4 value 663.013999
+#> iter 5 value 641.474129
+#> iter 6 value 638.876996
+#> iter 7 value 638.805653
+#> iter 8 value 638.805121
+#> iter 8 value 638.805118
+#> final value 638.805118
+#> converged
+#> This is Run number 311
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.5998406 2.9053289 -3.700159 -9.694671 1
+#> 2 1 -0.35 -14.40 3.1703077 -0.2567254 2.820308 -14.656725 1
+#> 3 1 -12.20 -2.55 1.5640328 0.8345449 -10.635967 -1.715455 2
+#> 4 1 -2.30 -13.70 0.8127583 1.6157217 -1.487242 -12.084278 1
+#> 5 1 -12.60 -7.80 0.8034679 1.0888397 -11.796532 -6.711160 2
+#> 6 1 -7.60 -12.40 1.2577909 -0.4879629 -6.342209 -12.887963 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -71575 14875
+#> initial value 998.131940
+#> iter 2 value 679.197454
+#> iter 3 value 679.141447
+#> iter 4 value 679.113699
+#> iter 5 value 659.680456
+#> iter 6 value 657.578005
+#> iter 7 value 657.530164
+#> iter 8 value 657.529904
+#> iter 8 value 657.529902
+#> final value 657.529902
+#> converged
+#> This is Run number 312
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.90159666 0.8407245 -5.2015967 -11.7592755 1
+#> 2 1 -0.35 -14.40 0.22500277 0.9590881 -0.1249972 -13.4409119 1
+#> 3 1 -12.20 -2.55 -0.14822984 2.2048257 -12.3482298 -0.3451743 2
+#> 4 1 -2.30 -13.70 0.51595464 0.8218001 -1.7840454 -12.8781999 1
+#> 5 1 -12.60 -7.80 -0.29844159 -0.2167464 -12.8984416 -8.0167464 2
+#> 6 1 -7.60 -12.40 0.01659311 0.3036194 -7.5834069 -12.0963806 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5040 -74750 15875
+#> initial value 998.131940
+#> iter 2 value 648.116721
+#> iter 3 value 647.991063
+#> iter 4 value 647.971193
+#> iter 5 value 624.444626
+#> iter 6 value 621.395456
+#> iter 7 value 621.302130
+#> iter 8 value 621.301418
+#> iter 8 value 621.301414
+#> final value 621.301414
+#> converged
+#> This is Run number 313
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.1228128 0.1391897 -4.4228128 -12.460810 1
+#> 2 1 -0.35 -14.40 -0.6327025 -0.3394561 -0.9827025 -14.739456 1
+#> 3 1 -12.20 -2.55 1.2167948 -0.2609518 -10.9832052 -2.810952 2
+#> 4 1 -2.30 -13.70 3.7814690 0.6980828 1.4814690 -13.001917 1
+#> 5 1 -12.60 -7.80 0.5519300 0.5497890 -12.0480700 -7.250211 2
+#> 6 1 -7.60 -12.40 2.1766479 1.1514521 -5.4233521 -11.248548 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -71350 13975
+#> initial value 998.131940
+#> iter 2 value 682.708790
+#> iter 3 value 682.682179
+#> iter 4 value 682.662913
+#> iter 5 value 663.790954
+#> iter 6 value 661.842152
+#> iter 7 value 661.801677
+#> iter 8 value 661.801500
+#> iter 8 value 661.801499
+#> final value 661.801499
+#> converged
+#> This is Run number 314
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.8426874 0.38520361 -3.457313 -12.214796 1
+#> 2 1 -0.35 -14.40 -0.8872488 -1.13058458 -1.237249 -15.530585 1
+#> 3 1 -12.20 -2.55 0.7595239 -0.03854525 -11.440476 -2.588545 2
+#> 4 1 -2.30 -13.70 -0.1188986 0.24780196 -2.418899 -13.452198 1
+#> 5 1 -12.60 -7.80 0.4157190 -0.86481197 -12.184281 -8.664812 2
+#> 6 1 -7.60 -12.40 -0.3570845 2.24274659 -7.957084 -10.157253 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4920 -70775 14975
+#> initial value 998.131940
+#> iter 2 value 685.827922
+#> iter 3 value 685.721895
+#> iter 4 value 685.653701
+#> iter 5 value 667.096608
+#> iter 6 value 665.194755
+#> iter 7 value 665.156298
+#> iter 8 value 665.156150
+#> iter 8 value 665.156149
+#> final value 665.156149
+#> converged
+#> This is Run number 315
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.41253117 0.92680102 -4.7125312 -11.673199 1
+#> 2 1 -0.35 -14.40 -0.03811146 -0.67764064 -0.3881115 -15.077641 1
+#> 3 1 -12.20 -2.55 0.73632323 1.18404950 -11.4636768 -1.365951 2
+#> 4 1 -2.30 -13.70 -0.64625463 -0.06706682 -2.9462546 -13.767067 1
+#> 5 1 -12.60 -7.80 0.95470133 -0.36441307 -11.6452987 -8.164413 2
+#> 6 1 -7.60 -12.40 0.18082261 -0.31739472 -7.4191774 -12.717395 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -71175 14925
+#> initial value 998.131940
+#> iter 2 value 682.602539
+#> iter 3 value 682.540548
+#> iter 4 value 682.535883
+#> iter 5 value 663.470278
+#> iter 6 value 661.530163
+#> iter 7 value 661.487989
+#> iter 8 value 661.487786
+#> iter 8 value 661.487785
+#> final value 661.487785
+#> converged
+#> This is Run number 316
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.3244524 2.1212508 -4.6244524 -10.4787492 1
+#> 2 1 -0.35 -14.40 -0.4552061 -0.4956122 -0.8052061 -14.8956122 1
+#> 3 1 -12.20 -2.55 3.2363652 1.8689467 -8.9636348 -0.6810533 2
+#> 4 1 -2.30 -13.70 -0.1828327 -0.7251422 -2.4828327 -14.4251422 1
+#> 5 1 -12.60 -7.80 -0.2921240 1.0954942 -12.8921240 -6.7045058 2
+#> 6 1 -7.60 -12.40 1.1745988 2.7747275 -6.4254012 -9.6252725 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4700 -72600 16000
+#> initial value 998.131940
+#> iter 2 value 667.740608
+#> iter 3 value 667.440215
+#> iter 4 value 667.436741
+#> iter 5 value 646.276998
+#> iter 6 value 643.916245
+#> iter 7 value 643.854263
+#> iter 8 value 643.853877
+#> iter 8 value 643.853874
+#> final value 643.853874
+#> converged
+#> This is Run number 317
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.07130033 0.81284919 -5.3713003 -11.787151 1
+#> 2 1 -0.35 -14.40 -0.17019827 0.64155442 -0.5201983 -13.758446 1
+#> 3 1 -12.20 -2.55 0.81786766 -0.02119786 -11.3821323 -2.571198 2
+#> 4 1 -2.30 -13.70 -0.01534614 0.80086515 -2.3153461 -12.899135 1
+#> 5 1 -12.60 -7.80 -0.65452978 -1.19642720 -13.2545298 -8.996427 2
+#> 6 1 -7.60 -12.40 0.06326008 -0.50176614 -7.5367399 -12.901766 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4580 -72900 14675
+#> initial value 998.131940
+#> iter 2 value 667.680383
+#> iter 3 value 667.577284
+#> iter 4 value 667.554111
+#> iter 5 value 646.685202
+#> iter 6 value 644.257458
+#> iter 7 value 644.195564
+#> iter 8 value 644.195154
+#> iter 8 value 644.195151
+#> final value 644.195151
+#> converged
+#> This is Run number 318
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.6118105 0.1089000 -3.688190 -12.4911000 1
+#> 2 1 -0.35 -14.40 2.6216055 -0.6472245 2.271606 -15.0472245 1
+#> 3 1 -12.20 -2.55 -0.3736721 2.3031958 -12.573672 -0.2468042 2
+#> 4 1 -2.30 -13.70 -0.3652096 0.5336930 -2.665210 -13.1663070 1
+#> 5 1 -12.60 -7.80 -0.1478153 0.6710779 -12.747815 -7.1289221 2
+#> 6 1 -7.60 -12.40 0.7598683 0.1596058 -6.840132 -12.2403942 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5220 -71250 14750
+#> initial value 998.131940
+#> iter 2 value 681.885821
+#> iter 3 value 681.811897
+#> iter 4 value 681.714823
+#> iter 5 value 662.577375
+#> iter 6 value 660.610386
+#> iter 7 value 660.570484
+#> iter 8 value 660.570337
+#> iter 8 value 660.570336
+#> final value 660.570336
+#> converged
+#> This is Run number 319
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.6723726 -0.6254094 -1.62762736 -13.225409 1
+#> 2 1 -0.35 -14.40 2.7175534 1.3904762 2.36755344 -13.009524 1
+#> 3 1 -12.20 -2.55 0.4926792 -0.2299937 -11.70732078 -2.779994 2
+#> 4 1 -2.30 -13.70 2.3194684 3.3121421 0.01946839 -10.387858 1
+#> 5 1 -12.60 -7.80 0.7054824 0.5873730 -11.89451763 -7.212627 2
+#> 6 1 -7.60 -12.40 1.0244050 -0.5067717 -6.57559501 -12.906772 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -71950 12225
+#> initial value 998.131940
+#> iter 2 value 679.976367
+#> iter 3 value 679.228486
+#> iter 4 value 679.132400
+#> iter 5 value 659.890529
+#> iter 6 value 657.879564
+#> iter 7 value 657.837790
+#> iter 8 value 657.837637
+#> iter 8 value 657.837636
+#> final value 657.837636
+#> converged
+#> This is Run number 320
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.4016198 -0.3313963 -3.8983802 -12.9313963 1
+#> 2 1 -0.35 -14.40 2.0978846 2.0152973 1.7478846 -12.3847027 1
+#> 3 1 -12.20 -2.55 -0.1893411 1.9675308 -12.3893411 -0.5824692 2
+#> 4 1 -2.30 -13.70 1.3315258 0.0951708 -0.9684742 -13.6048292 1
+#> 5 1 -12.60 -7.80 -0.0163396 1.1656016 -12.6163396 -6.6343984 2
+#> 6 1 -7.60 -12.40 1.0181091 0.4439618 -6.5818909 -11.9560382 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5020 -74250 14600
+#> initial value 998.131940
+#> iter 2 value 655.210341
+#> iter 3 value 655.198564
+#> iter 4 value 655.197352
+#> iter 5 value 632.393336
+#> iter 6 value 630.081241
+#> iter 7 value 630.016907
+#> iter 8 value 630.016538
+#> iter 8 value 630.016535
+#> final value 630.016535
+#> converged
+#> This is Run number 321
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.51904602 0.21034292 -2.7809540 -12.389657 1
+#> 2 1 -0.35 -14.40 0.92225006 1.67886475 0.5722501 -12.721135 1
+#> 3 1 -12.20 -2.55 1.75572187 0.13731141 -10.4442781 -2.412689 2
+#> 4 1 -2.30 -13.70 -0.27492510 0.04788866 -2.5749251 -13.652111 1
+#> 5 1 -12.60 -7.80 -0.72011982 1.58515732 -13.3201198 -6.214843 2
+#> 6 1 -7.60 -12.40 -0.02319608 -0.21171456 -7.6231961 -12.611715 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5100 -69675 15275
+#> initial value 998.131940
+#> iter 2 value 694.661172
+#> iter 3 value 694.305270
+#> iter 4 value 694.011580
+#> iter 5 value 676.354006
+#> iter 6 value 674.637903
+#> iter 7 value 674.605803
+#> iter 8 value 674.605702
+#> iter 8 value 674.605701
+#> final value 674.605701
+#> converged
+#> This is Run number 322
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.5588916 -0.3735195 -2.741108 -12.9735195 1
+#> 2 1 -0.35 -14.40 1.8189173 1.1749640 1.468917 -13.2250360 1
+#> 3 1 -12.20 -2.55 0.8639515 2.7555332 -11.336049 0.2055332 2
+#> 4 1 -2.30 -13.70 0.4954239 -0.4968644 -1.804576 -14.1968644 1
+#> 5 1 -12.60 -7.80 1.2176348 1.0057321 -11.382365 -6.7942679 2
+#> 6 1 -7.60 -12.40 0.5977822 -1.7177034 -7.002218 -14.1177034 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5460 -73200 14500
+#> initial value 998.131940
+#> iter 2 value 664.720399
+#> iter 3 value 664.572430
+#> iter 4 value 664.487716
+#> iter 5 value 643.350031
+#> iter 6 value 640.946823
+#> iter 7 value 640.888753
+#> iter 8 value 640.888506
+#> iter 8 value 640.888505
+#> final value 640.888505
+#> converged
+#> This is Run number 323
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.2594828 -0.30645308 -3.040517 -12.906453 1
+#> 2 1 -0.35 -14.40 -1.3768672 -0.23723717 -1.726867 -14.637237 1
+#> 3 1 -12.20 -2.55 -1.3394729 0.43067312 -13.539473 -2.119327 2
+#> 4 1 -2.30 -13.70 -0.1935774 -0.33493277 -2.493577 -14.034933 1
+#> 5 1 -12.60 -7.80 0.8125653 0.59772826 -11.787435 -7.202272 2
+#> 6 1 -7.60 -12.40 -0.4671219 -0.09493849 -8.067122 -12.494938 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4400 -74075 15750
+#> initial value 998.131940
+#> iter 2 value 654.982839
+#> iter 3 value 654.758236
+#> iter 4 value 654.605223
+#> iter 5 value 631.793966
+#> iter 6 value 628.827712
+#> iter 7 value 628.734044
+#> iter 8 value 628.733134
+#> iter 8 value 628.733128
+#> final value 628.733128
+#> converged
+#> This is Run number 324
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.9040928 2.5333885 -3.3959072 -10.066611 1
+#> 2 1 -0.35 -14.40 0.3846246 0.4646980 0.0346246 -13.935302 1
+#> 3 1 -12.20 -2.55 -0.7092510 -0.4246585 -12.9092510 -2.974659 2
+#> 4 1 -2.30 -13.70 -0.8729904 0.6848088 -3.1729904 -13.015191 1
+#> 5 1 -12.60 -7.80 0.3744677 0.8915139 -12.2255323 -6.908486 2
+#> 6 1 -7.60 -12.40 2.3142711 1.6077428 -5.2857289 -10.792257 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -70075 13650
+#> initial value 998.131940
+#> iter 2 value 694.608502
+#> iter 3 value 694.502578
+#> iter 4 value 694.421599
+#> iter 5 value 676.798038
+#> iter 6 value 675.075051
+#> iter 7 value 675.041518
+#> iter 8 value 675.041368
+#> iter 8 value 675.041367
+#> final value 675.041367
+#> converged
+#> This is Run number 325
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.5256880 -1.14459458 -3.774312 -13.744595 1
+#> 2 1 -0.35 -14.40 -0.9340195 -0.11155651 -1.284020 -14.511557 1
+#> 3 1 -12.20 -2.55 1.5178768 -1.42785667 -10.682123 -3.977857 2
+#> 4 1 -2.30 -13.70 0.5607742 -0.50972041 -1.739226 -14.209720 1
+#> 5 1 -12.60 -7.80 -0.6451427 0.02164272 -13.245143 -7.778357 2
+#> 6 1 -7.60 -12.40 0.1470160 1.66940577 -7.452984 -10.730594 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5620 -73225 14325
+#> initial value 998.131940
+#> iter 2 value 664.686336
+#> iter 3 value 664.677526
+#> iter 4 value 664.532501
+#> iter 5 value 643.111408
+#> iter 6 value 640.725543
+#> iter 7 value 640.667039
+#> iter 8 value 640.666807
+#> iter 8 value 640.666806
+#> final value 640.666806
+#> converged
+#> This is Run number 326
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.5137435 0.9507859 -3.7862565 -11.649214 1
+#> 2 1 -0.35 -14.40 1.1094044 -0.8412651 0.7594044 -15.241265 1
+#> 3 1 -12.20 -2.55 -1.1016596 6.9977880 -13.3016596 4.447788 2
+#> 4 1 -2.30 -13.70 1.5460371 3.1535317 -0.7539629 -10.546468 1
+#> 5 1 -12.60 -7.80 -0.6389586 0.5793379 -13.2389586 -7.220662 2
+#> 6 1 -7.60 -12.40 -1.3034172 -0.5132094 -8.9034172 -12.913209 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4300 -74700 15250
+#> initial value 998.131940
+#> iter 2 value 650.226300
+#> iter 3 value 649.982125
+#> iter 4 value 649.804094
+#> iter 5 value 626.099674
+#> iter 6 value 622.966017
+#> iter 7 value 622.862531
+#> iter 8 value 622.861353
+#> iter 9 value 622.861341
+#> iter 9 value 622.861335
+#> iter 9 value 622.861335
+#> final value 622.861335
+#> converged
+#> This is Run number 327
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.2851791 -1.1182837 -4.0148209 -13.718284 1
+#> 2 1 -0.35 -14.40 0.8116274 0.2571265 0.4616274 -14.142874 1
+#> 3 1 -12.20 -2.55 0.1216117 -0.3191709 -12.0783883 -2.869171 2
+#> 4 1 -2.30 -13.70 0.3706010 1.9846147 -1.9293990 -11.715385 1
+#> 5 1 -12.60 -7.80 0.9168975 -0.4783456 -11.6831025 -8.278346 2
+#> 6 1 -7.60 -12.40 -0.4739907 1.3312239 -8.0739907 -11.068776 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5400 -74875 14800
+#> initial value 998.131940
+#> iter 2 value 648.790460
+#> iter 3 value 648.740853
+#> iter 4 value 648.703358
+#> iter 5 value 625.484226
+#> iter 6 value 622.553624
+#> iter 7 value 622.471336
+#> iter 8 value 622.470861
+#> iter 8 value 622.470859
+#> final value 622.470859
+#> converged
+#> This is Run number 328
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.096423099 1.0643478 -4.20357690 -11.535652 1
+#> 2 1 -0.35 -14.40 0.375293257 1.1196818 0.02529326 -13.280318 1
+#> 3 1 -12.20 -2.55 -0.449288392 0.6991940 -12.64928839 -1.850806 2
+#> 4 1 -2.30 -13.70 0.342709746 0.9301228 -1.95729025 -12.769877 1
+#> 5 1 -12.60 -7.80 -0.002414973 -0.4835830 -12.60241497 -8.283583 2
+#> 6 1 -7.60 -12.40 0.444552375 -0.3585091 -7.15544762 -12.758509 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -74000 15475
+#> initial value 998.131940
+#> iter 2 value 655.881594
+#> iter 3 value 655.817370
+#> iter 4 value 655.804738
+#> iter 5 value 633.384578
+#> iter 6 value 630.641438
+#> iter 7 value 630.564629
+#> iter 8 value 630.564121
+#> iter 8 value 630.564118
+#> final value 630.564118
+#> converged
+#> This is Run number 329
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.7448232 -0.1893235 -3.5551768 -12.789323 1
+#> 2 1 -0.35 -14.40 -0.4443479 1.0357393 -0.7943479 -13.364261 1
+#> 3 1 -12.20 -2.55 -1.7985708 -0.5936948 -13.9985708 -3.143695 2
+#> 4 1 -2.30 -13.70 2.7834026 0.8694455 0.4834026 -12.830555 1
+#> 5 1 -12.60 -7.80 0.4790256 0.8119747 -12.1209744 -6.988025 2
+#> 6 1 -7.60 -12.40 1.2977558 0.1907668 -6.3022442 -12.209233 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5200 -72525 15825
+#> initial value 998.131940
+#> iter 2 value 668.463588
+#> iter 3 value 668.141578
+#> iter 4 value 667.912195
+#> iter 5 value 647.064516
+#> iter 6 value 644.657196
+#> iter 7 value 644.597774
+#> iter 8 value 644.597478
+#> iter 8 value 644.597476
+#> final value 644.597476
+#> converged
+#> This is Run number 330
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.0599199 2.0401659 -4.2400801 -10.559834 1
+#> 2 1 -0.35 -14.40 1.1230374 -0.6186332 0.7730374 -15.018633 1
+#> 3 1 -12.20 -2.55 0.5982664 0.8866273 -11.6017336 -1.663373 2
+#> 4 1 -2.30 -13.70 -0.4971279 -0.5936615 -2.7971279 -14.293662 1
+#> 5 1 -12.60 -7.80 0.4035949 1.5397717 -12.1964051 -6.260228 2
+#> 6 1 -7.60 -12.40 0.9491159 1.8661785 -6.6508841 -10.533821 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -71925 12625
+#> initial value 998.131940
+#> iter 2 value 679.632267
+#> iter 3 value 679.133892
+#> iter 4 value 679.073056
+#> iter 5 value 659.839272
+#> iter 6 value 657.829144
+#> iter 7 value 657.787326
+#> iter 8 value 657.787168
+#> iter 8 value 657.787167
+#> final value 657.787167
+#> converged
+#> This is Run number 331
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.2850318 -1.3132428 -3.0149682 -13.913243 1
+#> 2 1 -0.35 -14.40 -0.1027884 1.9406683 -0.4527884 -12.459332 1
+#> 3 1 -12.20 -2.55 1.0919716 0.8883473 -11.1080284 -1.661653 2
+#> 4 1 -2.30 -13.70 2.5056193 -0.1642488 0.2056193 -13.864249 1
+#> 5 1 -12.60 -7.80 1.1652267 -0.5866040 -11.4347733 -8.386604 2
+#> 6 1 -7.60 -12.40 -0.4573736 1.0721847 -8.0573736 -11.327815 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5260 -73175 13800
+#> initial value 998.131940
+#> iter 2 value 666.295862
+#> iter 3 value 666.158027
+#> iter 4 value 666.132653
+#> iter 5 value 645.313845
+#> iter 6 value 642.977584
+#> iter 7 value 642.923115
+#> iter 8 value 642.922885
+#> iter 8 value 642.922884
+#> final value 642.922884
+#> converged
+#> This is Run number 332
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.0905728 0.4149702 -3.209427 -12.185030 1
+#> 2 1 -0.35 -14.40 -1.6583327 2.1820174 -2.008333 -12.217983 1
+#> 3 1 -12.20 -2.55 1.8403202 -0.3340766 -10.359680 -2.884077 2
+#> 4 1 -2.30 -13.70 0.8659099 -0.3352845 -1.434090 -14.035284 1
+#> 5 1 -12.60 -7.80 2.0989467 1.4494957 -10.501053 -6.350504 2
+#> 6 1 -7.60 -12.40 -0.3746841 -0.4586155 -7.974684 -12.858616 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4140 -71500 13725
+#> initial value 998.131940
+#> iter 2 value 682.092110
+#> iter 3 value 681.862744
+#> iter 4 value 681.645505
+#> iter 5 value 662.109056
+#> iter 6 value 660.035526
+#> iter 7 value 659.985888
+#> iter 8 value 659.985575
+#> iter 8 value 659.985573
+#> final value 659.985573
+#> converged
+#> This is Run number 333
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.2163437 1.48873139 -2.0836563 -11.111269 1
+#> 2 1 -0.35 -14.40 -0.5283474 1.63709706 -0.8783474 -12.762903 1
+#> 3 1 -12.20 -2.55 -0.3797701 -0.49838834 -12.5797701 -3.048388 2
+#> 4 1 -2.30 -13.70 -0.3228851 0.89785781 -2.6228851 -12.802142 1
+#> 5 1 -12.60 -7.80 0.1382897 -0.71485816 -12.4617103 -8.514858 2
+#> 6 1 -7.60 -12.40 -0.6608087 -0.04100183 -8.2608087 -12.441002 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5080 -71125 14200
+#> initial value 998.131940
+#> iter 2 value 684.070356
+#> iter 3 value 684.017702
+#> iter 4 value 683.991398
+#> iter 5 value 665.327466
+#> iter 6 value 663.433549
+#> iter 7 value 663.395859
+#> iter 8 value 663.395729
+#> iter 8 value 663.395728
+#> final value 663.395728
+#> converged
+#> This is Run number 334
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.64818449 -0.34673706 -4.9481845 -12.946737 1
+#> 2 1 -0.35 -14.40 0.58187448 -0.11151352 0.2318745 -14.511514 1
+#> 3 1 -12.20 -2.55 3.63424912 -0.58258245 -8.5657509 -3.132582 2
+#> 4 1 -2.30 -13.70 0.83321727 -1.07430703 -1.4667827 -14.774307 1
+#> 5 1 -12.60 -7.80 0.09483488 -0.06065014 -12.5051651 -7.860650 2
+#> 6 1 -7.60 -12.40 3.46393636 -1.07857706 -4.1360636 -13.478577 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5500 -72725 14325
+#> initial value 998.131940
+#> iter 2 value 669.304731
+#> iter 3 value 669.211481
+#> iter 4 value 669.098134
+#> iter 5 value 648.439872
+#> iter 6 value 646.177855
+#> iter 7 value 646.125407
+#> iter 8 value 646.125206
+#> iter 8 value 646.125206
+#> final value 646.125206
+#> converged
+#> This is Run number 335
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.7843318 2.5637391 -5.084332 -10.036261 1
+#> 2 1 -0.35 -14.40 2.7036816 -0.0143892 2.353682 -14.414389 1
+#> 3 1 -12.20 -2.55 0.2670758 -0.4469128 -11.932924 -2.996913 2
+#> 4 1 -2.30 -13.70 0.7947618 -0.8580038 -1.505238 -14.558004 1
+#> 5 1 -12.60 -7.80 -0.9193085 2.7781901 -13.519309 -5.021810 2
+#> 6 1 -7.60 -12.40 -1.3593560 0.2217623 -8.959356 -12.178238 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -71850 12750
+#> initial value 998.131940
+#> iter 2 value 680.234727
+#> iter 3 value 679.772839
+#> iter 4 value 679.615706
+#> iter 5 value 660.401387
+#> iter 6 value 658.375924
+#> iter 7 value 658.332968
+#> iter 8 value 658.332783
+#> iter 8 value 658.332782
+#> final value 658.332782
+#> converged
+#> This is Run number 336
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.6094651 0.3021078 -3.690535 -12.29789 1
+#> 2 1 -0.35 -14.40 0.1220400 1.6678420 -0.227960 -12.73216 1
+#> 3 1 -12.20 -2.55 1.2594737 -0.1192398 -10.940526 -2.66924 2
+#> 4 1 -2.30 -13.70 -0.4633695 3.1252976 -2.763369 -10.57470 1
+#> 5 1 -12.60 -7.80 0.1254471 -0.4393096 -12.474553 -8.23931 2
+#> 6 1 -7.60 -12.40 1.2359955 0.4075144 -6.364004 -11.99249 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5320 -72875 14550
+#> initial value 998.131940
+#> iter 2 value 667.676241
+#> iter 3 value 667.523728
+#> iter 4 value 667.484698
+#> iter 5 value 646.794608
+#> iter 6 value 644.465882
+#> iter 7 value 644.411395
+#> iter 8 value 644.411162
+#> iter 8 value 644.411161
+#> final value 644.411161
+#> converged
+#> This is Run number 337
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1095133 0.4206482 -4.190487 -12.179352 1
+#> 2 1 -0.35 -14.40 1.4503275 1.0840300 1.100327 -13.315970 1
+#> 3 1 -12.20 -2.55 -0.1468290 -0.2538806 -12.346829 -2.803881 2
+#> 4 1 -2.30 -13.70 -0.8023243 1.1499920 -3.102324 -12.550008 1
+#> 5 1 -12.60 -7.80 1.5111733 1.4915507 -11.088827 -6.308449 2
+#> 6 1 -7.60 -12.40 0.1196036 0.4722460 -7.480396 -11.927754 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -72300 15450
+#> initial value 998.131940
+#> iter 2 value 671.364590
+#> iter 3 value 671.213108
+#> iter 4 value 671.140677
+#> iter 5 value 650.749843
+#> iter 6 value 648.446296
+#> iter 7 value 648.391454
+#> iter 8 value 648.391181
+#> iter 8 value 648.391179
+#> final value 648.391179
+#> converged
+#> This is Run number 338
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.5789224 0.4937766 -4.8789224 -12.106223 1
+#> 2 1 -0.35 -14.40 -1.2233164 3.9919768 -1.5733164 -10.408023 1
+#> 3 1 -12.20 -2.55 0.7591689 0.3901026 -11.4408311 -2.159897 2
+#> 4 1 -2.30 -13.70 1.8011081 1.9281555 -0.4988919 -11.771844 1
+#> 5 1 -12.60 -7.80 2.4213451 -0.9617723 -10.1786549 -8.761772 2
+#> 6 1 -7.60 -12.40 0.2185939 -0.3773866 -7.3814061 -12.777387 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 3980 -72700 16250
+#> initial value 998.131940
+#> iter 2 value 666.676964
+#> iter 3 value 666.049341
+#> iter 4 value 665.729589
+#> iter 5 value 644.134832
+#> iter 6 value 641.412082
+#> iter 7 value 641.328537
+#> iter 8 value 641.327702
+#> iter 8 value 641.327698
+#> final value 641.327698
+#> converged
+#> This is Run number 339
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.4909826 -0.06667264 -4.7909826 -12.666673 1
+#> 2 1 -0.35 -14.40 1.3429358 -0.35452567 0.9929358 -14.754526 1
+#> 3 1 -12.20 -2.55 0.1958913 0.63025169 -12.0041087 -1.919748 2
+#> 4 1 -2.30 -13.70 -0.4551774 1.94161897 -2.7551774 -11.758381 1
+#> 5 1 -12.60 -7.80 1.8293919 3.10237889 -10.7706081 -4.697621 2
+#> 6 1 -7.60 -12.40 0.8113387 0.80132999 -6.7886613 -11.598670 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5020 -72400 13725
+#> initial value 998.131940
+#> iter 2 value 673.582361
+#> iter 3 value 673.484496
+#> iter 4 value 673.484349
+#> iter 5 value 669.298129
+#> iter 6 value 651.924578
+#> iter 7 value 651.386263
+#> iter 8 value 651.364630
+#> iter 8 value 651.364627
+#> final value 651.364627
+#> converged
+#> This is Run number 340
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 3.19389843 1.0122650 -1.1061016 -11.587735 1
+#> 2 1 -0.35 -14.40 0.93756621 -1.0631056 0.5875662 -15.463106 1
+#> 3 1 -12.20 -2.55 2.35240918 -0.7007454 -9.8475908 -3.250745 2
+#> 4 1 -2.30 -13.70 1.20286252 0.3994354 -1.0971375 -13.300565 1
+#> 5 1 -12.60 -7.80 0.99575171 0.1371500 -11.6042483 -7.662850 2
+#> 6 1 -7.60 -12.40 0.07356457 1.7702402 -7.5264354 -10.629760 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5180 -72750 13375
+#> initial value 998.131940
+#> iter 2 value 670.892518
+#> iter 3 value 670.660909
+#> iter 4 value 670.657175
+#> iter 5 value 650.322142
+#> iter 6 value 648.211047
+#> iter 7 value 648.163948
+#> iter 8 value 648.163769
+#> iter 8 value 648.163768
+#> final value 648.163768
+#> converged
+#> This is Run number 341
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1671084 2.2299441 -4.132892 -10.3700559 1
+#> 2 1 -0.35 -14.40 3.1489284 5.1141109 2.798928 -9.2858891 1
+#> 3 1 -12.20 -2.55 -0.4685277 2.4420192 -12.668528 -0.1079808 2
+#> 4 1 -2.30 -13.70 -1.7830299 -0.2160543 -4.083030 -13.9160543 1
+#> 5 1 -12.60 -7.80 1.2159377 2.1914284 -11.384062 -5.6085716 2
+#> 6 1 -7.60 -12.40 3.0821752 2.1361747 -4.517825 -10.2638253 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5240 -71600 14325
+#> initial value 998.131940
+#> iter 2 value 679.549299
+#> iter 3 value 679.377339
+#> iter 4 value 679.341113
+#> iter 5 value 660.144719
+#> iter 6 value 658.139651
+#> iter 7 value 658.098328
+#> iter 8 value 658.098184
+#> iter 8 value 658.098184
+#> final value 658.098184
+#> converged
+#> This is Run number 342
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.8256820 -1.3718982 -5.1256820 -13.971898 1
+#> 2 1 -0.35 -14.40 0.8541209 1.3717721 0.5041209 -13.028228 1
+#> 3 1 -12.20 -2.55 1.1546833 -0.1763758 -11.0453167 -2.726376 2
+#> 4 1 -2.30 -13.70 3.0505932 -1.2643140 0.7505932 -14.964314 1
+#> 5 1 -12.60 -7.80 -0.4067087 -1.1759458 -13.0067087 -8.975946 2
+#> 6 1 -7.60 -12.40 -1.2343166 -0.3686313 -8.8343166 -12.768631 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -74225 15925
+#> initial value 998.131940
+#> iter 2 value 653.050032
+#> iter 3 value 652.877996
+#> iter 4 value 652.874635
+#> iter 5 value 629.782907
+#> iter 6 value 626.991409
+#> iter 7 value 626.906443
+#> iter 8 value 626.905769
+#> iter 8 value 626.905764
+#> final value 626.905764
+#> converged
+#> This is Run number 343
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.3027092 -0.18447901 -2.997291 -12.784479 1
+#> 2 1 -0.35 -14.40 1.9555279 -1.09733042 1.605528 -15.497330 1
+#> 3 1 -12.20 -2.55 2.9848850 -0.06202388 -9.215115 -2.612024 2
+#> 4 1 -2.30 -13.70 0.5241754 0.80559432 -1.775825 -12.894406 1
+#> 5 1 -12.60 -7.80 0.7781284 1.64336869 -11.821872 -6.156631 2
+#> 6 1 -7.60 -12.40 1.3584420 -1.05672034 -6.241558 -13.456720 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5100 -71950 15025
+#> initial value 998.131940
+#> iter 2 value 675.248827
+#> iter 3 value 675.157296
+#> iter 4 value 675.077646
+#> iter 5 value 655.232007
+#> iter 6 value 653.069979
+#> iter 7 value 653.021337
+#> iter 8 value 653.021126
+#> iter 8 value 653.021125
+#> final value 653.021125
+#> converged
+#> This is Run number 344
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.77499802 0.1946544 -5.074998 -12.405346 1
+#> 2 1 -0.35 -14.40 1.21444501 0.2777549 0.864445 -14.122245 1
+#> 3 1 -12.20 -2.55 1.33505890 0.7782135 -10.864941 -1.771787 2
+#> 4 1 -2.30 -13.70 -0.91163287 -0.3589550 -3.211633 -14.058955 1
+#> 5 1 -12.60 -7.80 -0.03330502 -0.5415594 -12.633305 -8.341559 2
+#> 6 1 -7.60 -12.40 1.23811226 0.8625359 -6.361888 -11.537464 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4100 -71550 13875
+#> initial value 998.131940
+#> iter 2 value 681.416341
+#> iter 3 value 680.895878
+#> iter 4 value 680.712080
+#> iter 5 value 661.301512
+#> iter 6 value 659.195372
+#> iter 7 value 659.145372
+#> iter 8 value 659.145049
+#> iter 8 value 659.145047
+#> final value 659.145047
+#> converged
+#> This is Run number 345
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.2392715 2.4728178 -2.060729 -10.1271822 1
+#> 2 1 -0.35 -14.40 1.7787138 0.8326608 1.428714 -13.5673392 1
+#> 3 1 -12.20 -2.55 1.2083266 1.5577171 -10.991673 -0.9922829 2
+#> 4 1 -2.30 -13.70 -0.3749565 1.0657966 -2.674957 -12.6342034 1
+#> 5 1 -12.60 -7.80 -0.5306768 0.5411447 -13.130677 -7.2588553 2
+#> 6 1 -7.60 -12.40 -0.7309169 2.3591141 -8.330917 -10.0408859 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -70025 15150
+#> initial value 998.131940
+#> iter 2 value 692.033128
+#> iter 3 value 691.834344
+#> iter 4 value 691.727919
+#> iter 5 value 673.853903
+#> iter 6 value 672.082234
+#> iter 7 value 672.048374
+#> iter 8 value 672.048254
+#> iter 8 value 672.048254
+#> final value 672.048254
+#> converged
+#> This is Run number 346
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.36846618 1.2983255 -5.6684662 -11.301675 1
+#> 2 1 -0.35 -14.40 0.01257023 1.3514941 -0.3374298 -13.048506 1
+#> 3 1 -12.20 -2.55 -0.41376057 0.2546103 -12.6137606 -2.295390 2
+#> 4 1 -2.30 -13.70 -1.06068861 0.1581442 -3.3606886 -13.541856 1
+#> 5 1 -12.60 -7.80 0.13982525 0.2794331 -12.4601747 -7.520567 2
+#> 6 1 -7.60 -12.40 1.16578525 1.7867672 -6.4342148 -10.613233 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4360 -70300 13225
+#> initial value 998.131940
+#> iter 2 value 693.324270
+#> iter 3 value 693.116272
+#> iter 4 value 692.942731
+#> iter 5 value 675.215929
+#> iter 6 value 673.481186
+#> iter 7 value 673.448328
+#> iter 8 value 673.448189
+#> iter 8 value 673.448189
+#> final value 673.448189
+#> converged
+#> This is Run number 347
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.01088177 1.42409559 -4.310882 -11.175904 1
+#> 2 1 -0.35 -14.40 -1.49051920 0.10439753 -1.840519 -14.295602 1
+#> 3 1 -12.20 -2.55 4.99277011 5.45852762 -7.207230 2.908528 2
+#> 4 1 -2.30 -13.70 0.34040070 0.37636083 -1.959599 -13.323639 1
+#> 5 1 -12.60 -7.80 0.86727466 1.37097212 -11.732725 -6.429028 2
+#> 6 1 -7.60 -12.40 1.61362252 0.04685644 -5.986377 -12.353144 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4680 -72575 16075
+#> initial value 998.131940
+#> iter 2 value 667.821076
+#> iter 3 value 667.486242
+#> iter 4 value 667.483189
+#> iter 5 value 646.289656
+#> iter 6 value 643.940742
+#> iter 7 value 643.878720
+#> iter 8 value 643.878331
+#> iter 8 value 643.878328
+#> final value 643.878328
+#> converged
+#> This is Run number 348
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.6002200 -0.2833144 -4.900220 -12.883314 1
+#> 2 1 -0.35 -14.40 1.4414921 0.5730300 1.091492 -13.826970 1
+#> 3 1 -12.20 -2.55 -0.9862215 -0.2793236 -13.186221 -2.829324 2
+#> 4 1 -2.30 -13.70 0.1504591 0.6520765 -2.149541 -13.047924 1
+#> 5 1 -12.60 -7.80 0.3608665 0.4078976 -12.239133 -7.392102 2
+#> 6 1 -7.60 -12.40 1.4355563 -0.8148450 -6.164444 -13.214845 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4400 -71325 14025
+#> initial value 998.131940
+#> iter 2 value 683.007030
+#> iter 3 value 682.864737
+#> iter 4 value 682.800587
+#> iter 5 value 663.813650
+#> iter 6 value 661.811766
+#> iter 7 value 661.767800
+#> iter 8 value 661.767569
+#> iter 8 value 661.767567
+#> final value 661.767567
+#> converged
+#> This is Run number 349
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.2931477 -0.2752378 -2.006852 -12.875238 1
+#> 2 1 -0.35 -14.40 -1.4789647 -0.1345636 -1.828965 -14.534564 1
+#> 3 1 -12.20 -2.55 -0.8251059 1.1573939 -13.025106 -1.392606 2
+#> 4 1 -2.30 -13.70 -1.5911617 0.8237216 -3.891162 -12.876278 1
+#> 5 1 -12.60 -7.80 -1.3256999 -0.6853975 -13.925700 -8.485398 2
+#> 6 1 -7.60 -12.40 2.2360763 3.8227097 -5.363924 -8.577290 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4780 -70425 12625
+#> initial value 998.131940
+#> iter 2 value 692.919152
+#> iter 3 value 692.569657
+#> iter 4 value 692.531504
+#> iter 5 value 674.914774
+#> iter 6 value 673.231181
+#> iter 7 value 673.200919
+#> iter 8 value 673.200826
+#> iter 8 value 673.200825
+#> final value 673.200825
+#> converged
+#> This is Run number 350
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.1073399 2.93588850 -3.1926601 -9.664112 1
+#> 2 1 -0.35 -14.40 1.0990814 -0.58670613 0.7490814 -14.986706 1
+#> 3 1 -12.20 -2.55 0.8991235 0.53482788 -11.3008765 -2.015172 2
+#> 4 1 -2.30 -13.70 1.0909989 -0.03798768 -1.2090011 -13.737988 1
+#> 5 1 -12.60 -7.80 2.1163665 -1.34230765 -10.4836335 -9.142308 2
+#> 6 1 -7.60 -12.40 1.9196169 0.51795487 -5.6803831 -11.882045 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4980 -71700 14650
+#> initial value 998.131940
+#> iter 2 value 678.247567
+#> iter 3 value 678.224450
+#> iter 4 value 678.211701
+#> iter 5 value 658.780652
+#> iter 6 value 656.717171
+#> iter 7 value 656.672342
+#> iter 8 value 656.672152
+#> iter 8 value 656.672151
+#> final value 656.672151
+#> converged
+#> This is Run number 351
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.8248076 6.5883507 -3.475192 -6.011649 1
+#> 2 1 -0.35 -14.40 4.5655969 0.9252487 4.215597 -13.474751 1
+#> 3 1 -12.20 -2.55 0.2066380 -0.8165295 -11.993362 -3.366530 2
+#> 4 1 -2.30 -13.70 -1.4200856 0.5478349 -3.720086 -13.152165 1
+#> 5 1 -12.60 -7.80 2.3849773 0.9724468 -10.215023 -6.827553 2
+#> 6 1 -7.60 -12.40 0.1696931 0.7142394 -7.430307 -11.685761 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4480 -74675 15750
+#> initial value 998.131940
+#> iter 2 value 649.388150
+#> iter 3 value 649.200799
+#> iter 4 value 649.060900
+#> iter 5 value 625.514331
+#> iter 6 value 622.363402
+#> iter 7 value 622.259160
+#> iter 8 value 622.258087
+#> iter 8 value 622.258079
+#> final value 622.258079
+#> converged
+#> This is Run number 352
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.34967835 0.6066405 -1.950322 -11.993360 1
+#> 2 1 -0.35 -14.40 2.02968792 0.5219640 1.679688 -13.878036 1
+#> 3 1 -12.20 -2.55 -0.44638991 0.9714796 -12.646390 -1.578520 2
+#> 4 1 -2.30 -13.70 0.13935858 0.5160533 -2.160641 -13.183947 1
+#> 5 1 -12.60 -7.80 -0.97224734 2.2054580 -13.572247 -5.594542 2
+#> 6 1 -7.60 -12.40 -0.08778266 1.2568611 -7.687783 -11.143139 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5020 -69425 14675
+#> initial value 998.131940
+#> iter 2 value 697.999050
+#> iter 3 value 697.848947
+#> iter 4 value 697.733735
+#> iter 5 value 680.552561
+#> iter 6 value 678.943665
+#> iter 7 value 678.915146
+#> iter 8 value 678.915064
+#> iter 8 value 678.915063
+#> final value 678.915063
+#> converged
+#> This is Run number 353
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.77990787 1.4034466 -5.0799079 -11.196553 1
+#> 2 1 -0.35 -14.40 -0.03464405 -0.3349866 -0.3846441 -14.734987 1
+#> 3 1 -12.20 -2.55 0.95509409 1.0916792 -11.2449059 -1.458321 2
+#> 4 1 -2.30 -13.70 1.06071419 0.6677371 -1.2392858 -13.032263 1
+#> 5 1 -12.60 -7.80 0.07313668 0.6929441 -12.5268633 -7.107056 2
+#> 6 1 -7.60 -12.40 -0.21661466 0.4998908 -7.8166147 -11.900109 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5140 -70425 13725
+#> initial value 998.131940
+#> iter 2 value 690.967585
+#> iter 3 value 690.885951
+#> iter 4 value 690.816990
+#> iter 5 value 673.011226
+#> iter 6 value 671.293789
+#> iter 7 value 671.263053
+#> iter 8 value 671.262968
+#> iter 8 value 671.262968
+#> final value 671.262968
+#> converged
+#> This is Run number 354
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.83239029 2.4327924 -3.4676097 -10.167208 1
+#> 2 1 -0.35 -14.40 -0.08989048 0.3655506 -0.4398905 -14.034449 1
+#> 3 1 -12.20 -2.55 1.10496791 0.1031058 -11.0950321 -2.446894 2
+#> 4 1 -2.30 -13.70 -0.08537642 1.6373796 -2.3853764 -12.062620 1
+#> 5 1 -12.60 -7.80 1.86936806 1.8168476 -10.7306319 -5.983152 2
+#> 6 1 -7.60 -12.40 1.45870756 -0.5832702 -6.1412924 -12.983270 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -72025 13625
+#> initial value 998.131940
+#> iter 2 value 677.240541
+#> iter 3 value 677.129684
+#> iter 4 value 677.099849
+#> iter 5 value 657.588599
+#> iter 6 value 655.509178
+#> iter 7 value 655.463988
+#> iter 8 value 655.463786
+#> iter 8 value 655.463785
+#> final value 655.463785
+#> converged
+#> This is Run number 355
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.5084151 2.1770545 -3.7915849 -10.422946 1
+#> 2 1 -0.35 -14.40 0.5325364 0.5758755 0.1825364 -13.824125 1
+#> 3 1 -12.20 -2.55 -1.0563473 -1.8014126 -13.2563473 -4.351413 2
+#> 4 1 -2.30 -13.70 -0.6442297 1.8447957 -2.9442297 -11.855204 1
+#> 5 1 -12.60 -7.80 -1.1176403 -0.1706724 -13.7176403 -7.970672 2
+#> 6 1 -7.60 -12.40 -0.6765971 0.7933571 -8.2765971 -11.606643 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -73775 14450
+#> initial value 998.131940
+#> iter 2 value 659.903089
+#> iter 3 value 659.883830
+#> iter 4 value 659.876714
+#> iter 5 value 638.074248
+#> iter 6 value 635.534459
+#> iter 7 value 635.467631
+#> iter 8 value 635.467233
+#> iter 8 value 635.467230
+#> final value 635.467230
+#> converged
+#> This is Run number 356
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.8612065 -0.5357593 -5.1612065 -13.135759 1
+#> 2 1 -0.35 -14.40 0.7260521 0.7443275 0.3760521 -13.655673 1
+#> 3 1 -12.20 -2.55 2.6059749 -1.6108792 -9.5940251 -4.160879 2
+#> 4 1 -2.30 -13.70 -0.4546274 0.6470014 -2.7546274 -13.052999 1
+#> 5 1 -12.60 -7.80 1.9501343 -0.7676856 -10.6498657 -8.567686 2
+#> 6 1 -7.60 -12.40 1.8251768 0.2054678 -5.7748232 -12.194532 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4400 -74475 16400
+#> initial value 998.131940
+#> iter 2 value 649.940840
+#> iter 3 value 649.524804
+#> iter 4 value 649.411632
+#> iter 5 value 625.770920
+#> iter 6 value 622.564725
+#> iter 7 value 622.455778
+#> iter 8 value 622.454603
+#> iter 8 value 622.454595
+#> final value 622.454595
+#> converged
+#> This is Run number 357
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.6822620 0.2806171 -1.6177380 -12.319383 1
+#> 2 1 -0.35 -14.40 1.1855287 3.5706674 0.8355287 -10.829333 1
+#> 3 1 -12.20 -2.55 0.7629191 2.1751270 -11.4370809 -0.374873 2
+#> 4 1 -2.30 -13.70 -0.5247966 -0.9953561 -2.8247966 -14.695356 1
+#> 5 1 -12.60 -7.80 1.3376574 1.2473625 -11.2623426 -6.552637 2
+#> 6 1 -7.60 -12.40 -0.6295391 1.2010973 -8.2295391 -11.198903 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4100 -68725 14200
+#> initial value 998.131940
+#> iter 2 value 705.325548
+#> iter 3 value 705.217258
+#> iter 4 value 705.180436
+#> iter 5 value 688.653235
+#> iter 6 value 687.134055
+#> iter 7 value 687.106795
+#> iter 8 value 687.106679
+#> iter 8 value 687.106679
+#> final value 687.106679
+#> converged
+#> This is Run number 358
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.0028109 -0.5926509 -5.302811 -13.1926509 1
+#> 2 1 -0.35 -14.40 -0.9193052 0.3573068 -1.269305 -14.0426932 1
+#> 3 1 -12.20 -2.55 3.5699979 2.8083456 -8.630002 0.2583456 2
+#> 4 1 -2.30 -13.70 0.9404328 -0.3054375 -1.359567 -14.0054375 1
+#> 5 1 -12.60 -7.80 3.5950166 0.5135107 -9.004983 -7.2864893 2
+#> 6 1 -7.60 -12.40 5.5445013 -0.6663771 -2.055499 -13.0663771 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4320 -74475 15775
+#> initial value 998.131940
+#> iter 2 value 651.275273
+#> iter 3 value 651.010354
+#> iter 4 value 650.781893
+#> iter 5 value 627.370207
+#> iter 6 value 624.235453
+#> iter 7 value 624.130167
+#> iter 8 value 624.129017
+#> iter 8 value 624.129009
+#> final value 624.129009
+#> converged
+#> This is Run number 359
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.01909169 0.7301709 -4.3190917 -11.869829 1
+#> 2 1 -0.35 -14.40 0.55449919 -1.1368269 0.2044992 -15.536827 1
+#> 3 1 -12.20 -2.55 0.69519392 -0.2438830 -11.5048061 -2.793883 2
+#> 4 1 -2.30 -13.70 -0.23507157 -0.5601263 -2.5350716 -14.260126 1
+#> 5 1 -12.60 -7.80 0.71849880 -0.6199339 -11.8815012 -8.419934 2
+#> 6 1 -7.60 -12.40 1.03371240 -0.4925327 -6.5662876 -12.892533 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4560 -72225 15175
+#> initial value 998.131940
+#> iter 2 value 672.830084
+#> iter 3 value 672.741770
+#> iter 4 value 672.714543
+#> iter 5 value 652.443315
+#> iter 6 value 650.150104
+#> iter 7 value 650.093706
+#> iter 8 value 650.093359
+#> iter 8 value 650.093357
+#> final value 650.093357
+#> converged
+#> This is Run number 360
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.5602377 -0.39477931 -3.7397623 -12.994779 1
+#> 2 1 -0.35 -14.40 -0.1257078 1.91772528 -0.4757078 -12.482275 1
+#> 3 1 -12.20 -2.55 -0.8962944 -0.10508832 -13.0962944 -2.655088 2
+#> 4 1 -2.30 -13.70 -0.6523312 -0.05745084 -2.9523312 -13.757451 1
+#> 5 1 -12.60 -7.80 1.8012496 1.18286493 -10.7987504 -6.617135 2
+#> 6 1 -7.60 -12.40 0.1383296 -0.90226206 -7.4616704 -13.302262 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4200 -72950 15575
+#> initial value 998.131940
+#> iter 2 value 665.704694
+#> iter 3 value 665.419772
+#> iter 4 value 665.191965
+#> iter 5 value 643.729818
+#> iter 6 value 641.090473
+#> iter 7 value 641.013802
+#> iter 8 value 641.013117
+#> iter 8 value 641.013113
+#> final value 641.013113
+#> converged
+#> This is Run number 361
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.5954827 -1.5602131 -3.7045173 -14.160213 1
+#> 2 1 -0.35 -14.40 1.1160491 1.4892950 0.7660491 -12.910705 1
+#> 3 1 -12.20 -2.55 -0.1437470 -0.4267943 -12.3437470 -2.976794 2
+#> 4 1 -2.30 -13.70 0.9940293 0.7436643 -1.3059707 -12.956336 1
+#> 5 1 -12.60 -7.80 2.3554640 0.3271568 -10.2445360 -7.472843 2
+#> 6 1 -7.60 -12.40 -0.2158819 0.2666108 -7.8158819 -12.133389 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4380 -73450 14425
+#> initial value 998.131940
+#> iter 2 value 663.233981
+#> iter 3 value 662.827922
+#> iter 4 value 662.752803
+#> iter 5 value 641.190977
+#> iter 6 value 638.574835
+#> iter 7 value 638.502080
+#> iter 8 value 638.501509
+#> iter 8 value 638.501505
+#> final value 638.501505
+#> converged
+#> This is Run number 362
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2996126 0.8438570 -4.5996126 -11.756143 1
+#> 2 1 -0.35 -14.40 1.0555928 2.6733843 0.7055928 -11.726616 1
+#> 3 1 -12.20 -2.55 -1.0173093 0.2128436 -13.2173093 -2.337156 2
+#> 4 1 -2.30 -13.70 -0.2562210 -0.8082332 -2.5562210 -14.508233 1
+#> 5 1 -12.60 -7.80 0.7708876 1.0074236 -11.8291124 -6.792576 2
+#> 6 1 -7.60 -12.40 -0.6954565 4.0344098 -8.2954565 -8.365590 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4880 -72375 14925
+#> initial value 998.131940
+#> iter 2 value 671.776373
+#> iter 3 value 671.752043
+#> iter 4 value 671.746946
+#> iter 5 value 651.407128
+#> iter 6 value 649.212482
+#> iter 7 value 649.160707
+#> iter 8 value 649.160447
+#> iter 8 value 649.160445
+#> final value 649.160445
+#> converged
+#> This is Run number 363
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 9.70053434 1.4265574 5.4005343 -11.173443 1
+#> 2 1 -0.35 -14.40 -0.48234160 1.2975517 -0.8323416 -13.102448 1
+#> 3 1 -12.20 -2.55 0.38633674 1.8400930 -11.8136633 -0.709907 2
+#> 4 1 -2.30 -13.70 0.90282609 0.5866696 -1.3971739 -13.113330 1
+#> 5 1 -12.60 -7.80 0.05953014 3.3003409 -12.5404699 -4.499659 2
+#> 6 1 -7.60 -12.40 6.41939479 1.3031550 -1.1806052 -11.096845 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4980 -71725 14200
+#> initial value 998.131940
+#> iter 2 value 678.830183
+#> iter 3 value 678.816635
+#> iter 4 value 678.806087
+#> iter 5 value 659.492904
+#> iter 6 value 657.483333
+#> iter 7 value 657.440976
+#> iter 8 value 657.440807
+#> iter 8 value 657.440806
+#> final value 657.440806
+#> converged
+#> This is Run number 364
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.11072849 -0.55822929 -4.410728 -13.1582293 1
+#> 2 1 -0.35 -14.40 -0.11263900 2.59579198 -0.462639 -11.8042080 1
+#> 3 1 -12.20 -2.55 -0.09789082 2.29948038 -12.297891 -0.2505196 2
+#> 4 1 -2.30 -13.70 -0.78760317 0.05172517 -3.087603 -13.6482748 1
+#> 5 1 -12.60 -7.80 0.23564141 0.06785036 -12.364359 -7.7321496 2
+#> 6 1 -7.60 -12.40 1.46944085 -0.04543822 -6.130559 -12.4454382 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4740 -71575 15025
+#> initial value 998.131940
+#> iter 2 value 678.802229
+#> iter 3 value 678.741043
+#> iter 4 value 678.739620
+#> iter 5 value 659.032495
+#> iter 6 value 657.199518
+#> iter 7 value 657.158318
+#> iter 8 value 657.158132
+#> iter 8 value 657.158131
+#> final value 657.158131
+#> converged
+#> This is Run number 365
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.4461019 -1.0913300 -3.8538981 -13.691330 1
+#> 2 1 -0.35 -14.40 1.2427839 -0.7453512 0.8927839 -15.145351 1
+#> 3 1 -12.20 -2.55 3.0002903 0.1635470 -9.1997097 -2.386453 2
+#> 4 1 -2.30 -13.70 2.1267570 -0.5799179 -0.1732430 -14.279918 1
+#> 5 1 -12.60 -7.80 -0.8674098 -0.3456677 -13.4674098 -8.145668 2
+#> 6 1 -7.60 -12.40 -0.3858713 -0.5307512 -7.9858713 -12.930751 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5100 -70750 12325
+#> initial value 998.131940
+#> iter 2 value 690.312947
+#> iter 3 value 689.777532
+#> iter 4 value 689.777314
+#> iter 5 value 670.412826
+#> iter 6 value 670.139534
+#> iter 7 value 670.134281
+#> iter 7 value 670.134277
+#> iter 7 value 670.134277
+#> final value 670.134277
+#> converged
+#> This is Run number 366
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.5867217 2.4176488 -1.713278 -10.182351 1
+#> 2 1 -0.35 -14.40 -1.9812189 1.1092329 -2.331219 -13.290767 1
+#> 3 1 -12.20 -2.55 2.9737970 -1.2989155 -9.226203 -3.848916 2
+#> 4 1 -2.30 -13.70 0.7682641 0.9916133 -1.531736 -12.708387 1
+#> 5 1 -12.60 -7.80 0.7768984 1.6986888 -11.823102 -6.101311 2
+#> 6 1 -7.60 -12.40 0.5981960 2.7699768 -7.001804 -9.630023 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -72025 13425
+#> initial value 998.131940
+#> iter 2 value 677.540752
+#> iter 3 value 677.376479
+#> iter 4 value 677.348146
+#> iter 5 value 657.883799
+#> iter 6 value 655.820918
+#> iter 7 value 655.776575
+#> iter 8 value 655.776385
+#> iter 8 value 655.776384
+#> final value 655.776384
+#> converged
+#> This is Run number 367
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.01823247 -0.4385113 -3.281768 -13.038511 1
+#> 2 1 -0.35 -14.40 0.03714097 0.1261384 -0.312859 -14.273862 1
+#> 3 1 -12.20 -2.55 1.85147025 1.2580388 -10.348530 -1.291961 2
+#> 4 1 -2.30 -13.70 -1.52496971 0.9660994 -3.824970 -12.733901 1
+#> 5 1 -12.60 -7.80 -0.13925086 1.4327830 -12.739251 -6.367217 2
+#> 6 1 -7.60 -12.40 -0.37874987 -0.7814898 -7.978750 -13.181490 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5140 -74700 14100
+#> initial value 998.131940
+#> iter 2 value 651.835288
+#> iter 3 value 651.722985
+#> iter 4 value 651.720727
+#> iter 5 value 628.714080
+#> iter 6 value 626.120677
+#> iter 7 value 626.048146
+#> iter 8 value 626.047727
+#> iter 8 value 626.047724
+#> final value 626.047724
+#> converged
+#> This is Run number 368
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.5710010 0.7656730 -3.728999 -11.834327 1
+#> 2 1 -0.35 -14.40 2.3499028 1.7959884 1.999903 -12.604012 1
+#> 3 1 -12.20 -2.55 4.7596482 -0.2358091 -7.440352 -2.785809 2
+#> 4 1 -2.30 -13.70 0.1827088 1.4466272 -2.117291 -12.253373 1
+#> 5 1 -12.60 -7.80 -0.1175767 1.1492114 -12.717577 -6.650789 2
+#> 6 1 -7.60 -12.40 2.1462275 -1.1656708 -5.453772 -13.565671 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5060 -71275 13275
+#> initial value 998.131940
+#> iter 2 value 684.302548
+#> iter 3 value 684.132186
+#> iter 4 value 684.126375
+#> iter 5 value 665.500972
+#> iter 6 value 663.684465
+#> iter 7 value 663.649295
+#> iter 8 value 663.649184
+#> iter 8 value 663.649184
+#> final value 663.649184
+#> converged
+#> This is Run number 369
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.61795489 1.8714176 -4.917955 -10.728582 1
+#> 2 1 -0.35 -14.40 0.24970804 6.2815883 -0.100292 -8.118412 1
+#> 3 1 -12.20 -2.55 0.53327434 -0.3209109 -11.666726 -2.870911 2
+#> 4 1 -2.30 -13.70 0.04546163 1.5856848 -2.254538 -12.114315 1
+#> 5 1 -12.60 -7.80 0.28471803 -0.2648906 -12.315282 -8.064891 2
+#> 6 1 -7.60 -12.40 0.25722126 0.4821085 -7.342779 -11.917891 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -72700 15325
+#> initial value 998.131940
+#> iter 2 value 668.052703
+#> iter 3 value 667.966432
+#> iter 4 value 667.941384
+#> iter 5 value 647.142072
+#> iter 6 value 644.758169
+#> iter 7 value 644.699380
+#> iter 8 value 644.699062
+#> iter 8 value 644.699060
+#> final value 644.699060
+#> converged
+#> This is Run number 370
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.13172794 2.714959358 -5.431728 -9.885041 1
+#> 2 1 -0.35 -14.40 4.01140840 -0.509136669 3.661408 -14.909137 1
+#> 3 1 -12.20 -2.55 0.07862682 -0.850850736 -12.121373 -3.400851 2
+#> 4 1 -2.30 -13.70 -0.20712172 -0.002409514 -2.507122 -13.702410 1
+#> 5 1 -12.60 -7.80 -0.01491786 1.263776564 -12.614918 -6.536223 2
+#> 6 1 -7.60 -12.40 0.01551909 -0.120829395 -7.584481 -12.520829 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4760 -74250 15475
+#> initial value 998.131940
+#> iter 2 value 653.720464
+#> iter 3 value 653.653224
+#> iter 4 value 653.635878
+#> iter 5 value 630.860156
+#> iter 6 value 627.989395
+#> iter 7 value 627.904184
+#> iter 8 value 627.903509
+#> iter 8 value 627.903504
+#> final value 627.903504
+#> converged
+#> This is Run number 371
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.2260577 1.37826747 -3.0739423 -11.221733 1
+#> 2 1 -0.35 -14.40 -0.2150971 3.89167377 -0.5650971 -10.508326 1
+#> 3 1 -12.20 -2.55 0.6330389 0.09499692 -11.5669611 -2.455003 2
+#> 4 1 -2.30 -13.70 0.9414097 -1.53093403 -1.3585903 -15.230934 1
+#> 5 1 -12.60 -7.80 1.9853434 1.81411664 -10.6146566 -5.985883 2
+#> 6 1 -7.60 -12.40 1.5860837 1.19611943 -6.0139163 -11.203881 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4940 -71250 15100
+#> initial value 998.131940
+#> iter 2 value 681.409061
+#> iter 3 value 681.296890
+#> iter 4 value 681.231261
+#> iter 5 value 662.129123
+#> iter 6 value 660.112348
+#> iter 7 value 660.069485
+#> iter 8 value 660.069307
+#> iter 8 value 660.069306
+#> final value 660.069306
+#> converged
+#> This is Run number 372
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.57486658 -0.9329996 -3.725133 -13.533000 1
+#> 2 1 -0.35 -14.40 1.77788626 -1.0802525 1.427886 -15.480252 1
+#> 3 1 -12.20 -2.55 -0.22633568 -0.5481014 -12.426336 -3.098101 2
+#> 4 1 -2.30 -13.70 -0.74572439 -0.2533488 -3.045724 -13.953349 1
+#> 5 1 -12.60 -7.80 0.03455774 2.3524350 -12.565442 -5.447565 2
+#> 6 1 -7.60 -12.40 -0.84299646 1.9179953 -8.442996 -10.482005 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4600 -73975 13425
+#> initial value 998.131940
+#> iter 2 value 659.982506
+#> iter 3 value 659.568527
+#> iter 4 value 659.267500
+#> iter 5 value 637.340129
+#> iter 6 value 634.677755
+#> iter 7 value 634.605331
+#> iter 8 value 634.604827
+#> iter 8 value 634.604823
+#> final value 634.604823
+#> converged
+#> This is Run number 373
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.2054051 -0.9210944 -4.094595 -13.521094 1
+#> 2 1 -0.35 -14.40 -1.7023421 0.6837717 -2.052342 -13.716228 1
+#> 3 1 -12.20 -2.55 3.5977272 -0.7035526 -8.602273 -3.253553 2
+#> 4 1 -2.30 -13.70 -0.1949605 1.3218418 -2.494961 -12.378158 1
+#> 5 1 -12.60 -7.80 1.8319626 2.2583648 -10.768037 -5.541635 2
+#> 6 1 -7.60 -12.40 3.6917699 3.4113489 -3.908230 -8.988651 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5000 -72850 14575
+#> initial value 998.131940
+#> iter 2 value 668.068283
+#> iter 3 value 668.065887
+#> iter 4 value 668.063056
+#> iter 5 value 647.319393
+#> iter 6 value 645.045239
+#> iter 7 value 644.990534
+#> iter 8 value 644.990264
+#> iter 8 value 644.990263
+#> final value 644.990263
+#> converged
+#> This is Run number 374
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.54990897 -0.2290490 -2.7500910 -12.829049 1
+#> 2 1 -0.35 -14.40 -0.01723026 0.6165511 -0.3672303 -13.783449 1
+#> 3 1 -12.20 -2.55 1.16584605 -0.2260482 -11.0341539 -2.776048 2
+#> 4 1 -2.30 -13.70 -0.76099610 0.1764719 -3.0609961 -13.523528 1
+#> 5 1 -12.60 -7.80 1.23064339 0.9201171 -11.3693566 -6.879883 2
+#> 6 1 -7.60 -12.40 0.34123858 -0.9483364 -7.2587614 -13.348336 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4920 -71825 15150
+#> initial value 998.131940
+#> iter 2 value 676.237080
+#> iter 3 value 676.148584
+#> iter 4 value 676.110720
+#> iter 5 value 656.367920
+#> iter 6 value 654.216108
+#> iter 7 value 654.167658
+#> iter 8 value 654.167433
+#> iter 8 value 654.167432
+#> final value 654.167432
+#> converged
+#> This is Run number 375
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.8780682 1.5339997 -2.421932 -11.066000 1
+#> 2 1 -0.35 -14.40 3.3912128 1.7364163 3.041213 -12.663584 1
+#> 3 1 -12.20 -2.55 0.7829151 -0.3088097 -11.417085 -2.858810 2
+#> 4 1 -2.30 -13.70 0.5557549 0.8816281 -1.744245 -12.818372 1
+#> 5 1 -12.60 -7.80 -0.3074128 -0.1384035 -12.907413 -7.938403 2
+#> 6 1 -7.60 -12.40 0.4755934 -1.4237831 -7.124407 -13.823783 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5840 -72525 15000
+#> initial value 998.131940
+#> iter 2 value 669.613859
+#> iter 3 value 668.410393
+#> iter 4 value 668.267309
+#> iter 5 value 647.651984
+#> iter 6 value 645.342454
+#> iter 7 value 645.289521
+#> iter 8 value 645.289311
+#> iter 8 value 645.289310
+#> final value 645.289310
+#> converged
+#> This is Run number 376
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.399841515 -0.5932114 -2.900158 -13.193211 1
+#> 2 1 -0.35 -14.40 -0.735494865 0.2128780 -1.085495 -14.187122 1
+#> 3 1 -12.20 -2.55 -0.002815999 -0.8533295 -12.202816 -3.403330 2
+#> 4 1 -2.30 -13.70 -0.106645403 -0.3690832 -2.406645 -14.069083 1
+#> 5 1 -12.60 -7.80 -1.001747964 0.3079549 -13.601748 -7.492045 2
+#> 6 1 -7.60 -12.40 0.248914561 0.2859660 -7.351085 -12.114034 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4980 -74300 14975
+#> initial value 998.131940
+#> iter 2 value 654.084752
+#> iter 3 value 654.083385
+#> iter 4 value 654.083062
+#> iter 5 value 629.661366
+#> iter 6 value 628.668183
+#> iter 7 value 628.637712
+#> iter 8 value 628.637584
+#> iter 8 value 628.637582
+#> final value 628.637582
+#> converged
+#> This is Run number 377
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.1640866 0.1100695 -4.464087 -12.489930 1
+#> 2 1 -0.35 -14.40 -0.6580748 -0.8089155 -1.008075 -15.208915 1
+#> 3 1 -12.20 -2.55 0.5508934 0.8326071 -11.649107 -1.717393 2
+#> 4 1 -2.30 -13.70 -0.7518318 -0.5420917 -3.051832 -14.242092 1
+#> 5 1 -12.60 -7.80 -0.7584968 -1.2275647 -13.358497 -9.027565 2
+#> 6 1 -7.60 -12.40 -0.7049537 0.4756426 -8.304954 -11.924357 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5180 -72575 14825
+#> initial value 998.131940
+#> iter 2 value 669.974899
+#> iter 3 value 669.912356
+#> iter 4 value 669.871031
+#> iter 5 value 649.391015
+#> iter 6 value 647.105034
+#> iter 7 value 647.052292
+#> iter 8 value 647.052053
+#> iter 8 value 647.052051
+#> final value 647.052051
+#> converged
+#> This is Run number 378
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.1514094 1.6852598 -3.1485906 -10.914740 1
+#> 2 1 -0.35 -14.40 2.3606291 -0.1299934 2.0106291 -14.529993 1
+#> 3 1 -12.20 -2.55 1.8657544 -0.9325485 -10.3342456 -3.482549 2
+#> 4 1 -2.30 -13.70 1.9480119 -0.1032353 -0.3519881 -13.803235 1
+#> 5 1 -12.60 -7.80 -0.7660642 1.5638573 -13.3660642 -6.236143 2
+#> 6 1 -7.60 -12.40 3.0893788 -0.5746761 -4.5106212 -12.974676 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -72625 14750
+#> initial value 998.131940
+#> iter 2 value 669.877909
+#> iter 3 value 669.872952
+#> iter 4 value 669.872572
+#> iter 5 value 648.150566
+#> iter 6 value 647.032919
+#> iter 7 value 647.004499
+#> iter 8 value 647.004392
+#> iter 8 value 647.004391
+#> final value 647.004391
+#> converged
+#> This is Run number 379
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2811313 -0.82300655 -4.5811313 -13.423007 1
+#> 2 1 -0.35 -14.40 1.2110859 0.97708144 0.8610859 -13.422919 1
+#> 3 1 -12.20 -2.55 3.3571007 0.09311554 -8.8428993 -2.456884 2
+#> 4 1 -2.30 -13.70 -1.0490999 0.29133757 -3.3490999 -13.408662 1
+#> 5 1 -12.60 -7.80 0.1938440 0.42867681 -12.4061560 -7.371323 2
+#> 6 1 -7.60 -12.40 -0.5103977 1.12378656 -8.1103977 -11.276213 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4060 -75050 15350
+#> initial value 998.131940
+#> iter 2 value 646.876562
+#> iter 3 value 646.246371
+#> iter 4 value 645.930359
+#> iter 5 value 621.478030
+#> iter 6 value 618.113183
+#> iter 7 value 617.990792
+#> iter 8 value 617.989060
+#> iter 9 value 617.989041
+#> iter 10 value 617.989031
+#> iter 11 value 617.989017
+#> iter 11 value 617.989017
+#> iter 11 value 617.989017
+#> final value 617.989017
+#> converged
+#> This is Run number 380
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.3743034 2.69583092 -3.9256966 -9.904169 1
+#> 2 1 -0.35 -14.40 -0.3375278 1.96416161 -0.6875278 -12.435838 1
+#> 3 1 -12.20 -2.55 2.4924447 -2.22804386 -9.7075553 -4.778044 2
+#> 4 1 -2.30 -13.70 -0.4729267 0.02510135 -2.7729267 -13.674899 1
+#> 5 1 -12.60 -7.80 -1.0378233 0.17902151 -13.6378233 -7.620978 2
+#> 6 1 -7.60 -12.40 -0.8039199 -1.17292323 -8.4039199 -13.572923 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4800 -71600 14850
+#> initial value 998.131940
+#> iter 2 value 678.874940
+#> iter 3 value 678.842439
+#> iter 4 value 678.838688
+#> iter 5 value 659.355389
+#> iter 6 value 657.369552
+#> iter 7 value 657.325858
+#> iter 8 value 657.325660
+#> iter 8 value 657.325658
+#> final value 657.325658
+#> converged
+#> This is Run number 381
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.24662514 1.35721748 -4.5466251 -11.242783 1
+#> 2 1 -0.35 -14.40 0.02814471 0.03612207 -0.3218553 -14.363878 1
+#> 3 1 -12.20 -2.55 -0.70961523 0.85716627 -12.9096152 -1.692834 2
+#> 4 1 -2.30 -13.70 0.17965208 4.29849299 -2.1203479 -9.401507 1
+#> 5 1 -12.60 -7.80 1.08511119 1.16498162 -11.5148888 -6.635018 2
+#> 6 1 -7.60 -12.40 -0.91109084 -0.57951769 -8.5110908 -12.979518 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4440 -70925 14600
+#> initial value 998.131940
+#> iter 2 value 685.487792
+#> iter 3 value 685.436154
+#> iter 4 value 685.391665
+#> iter 5 value 666.723751
+#> iter 6 value 664.777461
+#> iter 7 value 664.735816
+#> iter 8 value 664.735604
+#> iter 8 value 664.735603
+#> final value 664.735603
+#> converged
+#> This is Run number 382
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.93349212 -0.6956709 -3.3665079 -13.295671 1
+#> 2 1 -0.35 -14.40 1.75888215 -1.2123057 1.4088822 -15.612306 1
+#> 3 1 -12.20 -2.55 3.60494473 0.7264511 -8.5950553 -1.823549 2
+#> 4 1 -2.30 -13.70 1.54312786 -0.1604962 -0.7568721 -13.860496 1
+#> 5 1 -12.60 -7.80 -0.15845437 1.2146482 -12.7584544 -6.585352 2
+#> 6 1 -7.60 -12.40 0.07115255 -0.6040118 -7.5288474 -13.004012 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4500 -72800 14650
+#> initial value 998.131940
+#> iter 2 value 668.673157
+#> iter 3 value 668.508230
+#> iter 4 value 668.479243
+#> iter 5 value 647.708488
+#> iter 6 value 645.293526
+#> iter 7 value 645.231794
+#> iter 8 value 645.231372
+#> iter 8 value 645.231369
+#> final value 645.231369
+#> converged
+#> This is Run number 383
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2028241 2.0974165 -4.5028241 -10.502583 1
+#> 2 1 -0.35 -14.40 0.5346075 0.4393457 0.1846075 -13.960654 1
+#> 3 1 -12.20 -2.55 -0.4212169 -0.5548950 -12.6212169 -3.104895 2
+#> 4 1 -2.30 -13.70 2.1645489 1.2590335 -0.1354511 -12.440966 1
+#> 5 1 -12.60 -7.80 0.7724697 -0.6244329 -11.8275303 -8.424433 2
+#> 6 1 -7.60 -12.40 1.5100835 0.5326360 -6.0899165 -11.867364 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4560 -71650 14700
+#> initial value 998.131940
+#> iter 2 value 678.846262
+#> iter 3 value 678.811369
+#> iter 4 value 678.781960
+#> iter 5 value 659.330961
+#> iter 6 value 657.227740
+#> iter 7 value 657.180028
+#> iter 8 value 657.179770
+#> iter 8 value 657.179769
+#> final value 657.179769
+#> converged
+#> This is Run number 384
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.99549760 0.267883669 -3.3045024 -12.3321163 1
+#> 2 1 -0.35 -14.40 1.14379457 2.192335287 0.7937946 -12.2076647 1
+#> 3 1 -12.20 -2.55 0.09736492 1.996201425 -12.1026351 -0.5537986 2
+#> 4 1 -2.30 -13.70 -0.23341442 -0.035418155 -2.5334144 -13.7354182 1
+#> 5 1 -12.60 -7.80 0.51685179 1.059658212 -12.0831482 -6.7403418 2
+#> 6 1 -7.60 -12.40 0.38232513 0.007891422 -7.2176749 -12.3921086 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4840 -72850 13700
+#> initial value 998.131940
+#> iter 2 value 669.676332
+#> iter 3 value 669.540482
+#> iter 4 value 669.499222
+#> iter 5 value 649.030752
+#> iter 6 value 646.736989
+#> iter 7 value 646.682883
+#> iter 8 value 646.682608
+#> iter 8 value 646.682606
+#> final value 646.682606
+#> converged
+#> This is Run number 385
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.3265118 -0.87820937 -5.626512 -13.4782094 1
+#> 2 1 -0.35 -14.40 -0.7634076 -0.30681093 -1.113408 -14.7068109 1
+#> 3 1 -12.20 -2.55 -0.4141484 2.21113036 -12.614148 -0.3388696 2
+#> 4 1 -2.30 -13.70 3.6917226 5.13036474 1.391723 -8.5696353 1
+#> 5 1 -12.60 -7.80 0.3809284 -0.06032114 -12.219072 -7.8603211 2
+#> 6 1 -7.60 -12.40 -0.1314865 0.15343655 -7.731486 -12.2465635 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4460 -74800 15075
+#> initial value 998.131940
+#> iter 2 value 649.547786
+#> iter 3 value 649.218725
+#> iter 4 value 649.141340
+#> iter 5 value 625.677752
+#> iter 6 value 622.570029
+#> iter 7 value 622.469901
+#> iter 8 value 622.468878
+#> iter 8 value 622.468869
+#> final value 622.468869
+#> converged
+#> This is Run number 386
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.15378318 0.8420150 -5.453783 -11.757985 1
+#> 2 1 -0.35 -14.40 1.50583429 -1.0079140 1.155834 -15.407914 1
+#> 3 1 -12.20 -2.55 1.04946332 -0.7121757 -11.150537 -3.262176 2
+#> 4 1 -2.30 -13.70 -0.97833314 -0.1920455 -3.278333 -13.892046 1
+#> 5 1 -12.60 -7.80 0.06193092 -0.3192316 -12.538069 -8.119232 2
+#> 6 1 -7.60 -12.40 0.67482102 0.8467077 -6.925179 -11.553292 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -70475 14500
+#> initial value 998.131940
+#> iter 2 value 689.502966
+#> iter 3 value 689.484756
+#> iter 4 value 689.482164
+#> iter 5 value 671.259561
+#> iter 6 value 669.561896
+#> iter 7 value 669.528260
+#> iter 8 value 669.528126
+#> iter 8 value 669.528125
+#> final value 669.528125
+#> converged
+#> This is Run number 387
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.08805677 1.5961187 -2.211943 -11.003881 1
+#> 2 1 -0.35 -14.40 1.42770046 0.7102376 1.077700 -13.689762 1
+#> 3 1 -12.20 -2.55 -0.05589414 1.3196000 -12.255894 -1.230400 2
+#> 4 1 -2.30 -13.70 -0.23475321 -0.7212975 -2.534753 -14.421297 1
+#> 5 1 -12.60 -7.80 1.12630698 0.3894166 -11.473693 -7.410583 2
+#> 6 1 -7.60 -12.40 0.52267726 -0.8309596 -7.077323 -13.230960 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4360 -72150 14550
+#> initial value 998.131940
+#> iter 2 value 674.770565
+#> iter 3 value 674.532135
+#> iter 4 value 674.483624
+#> iter 5 value 654.440696
+#> iter 6 value 652.182754
+#> iter 7 value 652.127792
+#> iter 8 value 652.127427
+#> iter 8 value 652.127424
+#> final value 652.127424
+#> converged
+#> This is Run number 388
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.6118877 1.0815356 -3.688112 -11.518464 1
+#> 2 1 -0.35 -14.40 1.4554537 -0.6413781 1.105454 -15.041378 1
+#> 3 1 -12.20 -2.55 1.2972599 -0.3893293 -10.902740 -2.939329 2
+#> 4 1 -2.30 -13.70 -0.4422258 0.9905778 -2.742226 -12.709422 1
+#> 5 1 -12.60 -7.80 2.1794159 -0.7046315 -10.420584 -8.504631 2
+#> 6 1 -7.60 -12.40 1.2174276 -0.2512370 -6.382572 -12.651237 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5020 -72650 16250
+#> initial value 998.131940
+#> iter 2 value 666.574001
+#> iter 3 value 666.125039
+#> iter 4 value 665.976174
+#> iter 5 value 644.781999
+#> iter 6 value 642.268719
+#> iter 7 value 642.203741
+#> iter 8 value 642.203374
+#> iter 8 value 642.203372
+#> final value 642.203372
+#> converged
+#> This is Run number 389
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.4436331 4.49467339 -3.85636695 -8.105327 1
+#> 2 1 -0.35 -14.40 0.3318243 1.58944666 -0.01817568 -12.810553 1
+#> 3 1 -12.20 -2.55 1.6680216 0.44554189 -10.53197841 -2.104458 2
+#> 4 1 -2.30 -13.70 0.2988160 0.01985401 -2.00118400 -13.680146 1
+#> 5 1 -12.60 -7.80 1.8015214 0.23391804 -10.79847864 -7.566082 2
+#> 6 1 -7.60 -12.40 -0.7561767 -0.02222277 -8.35617666 -12.422223 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4620 -72450 14775
+#> initial value 998.131940
+#> iter 2 value 671.532911
+#> iter 3 value 671.502680
+#> iter 4 value 671.477756
+#> iter 5 value 651.105620
+#> iter 6 value 648.800749
+#> iter 7 value 648.744278
+#> iter 8 value 648.743938
+#> iter 8 value 648.743935
+#> final value 648.743935
+#> converged
+#> This is Run number 390
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.2590906 3.0828411 -4.559091 -9.517159 1
+#> 2 1 -0.35 -14.40 -0.9504547 2.6854958 -1.300455 -11.714504 1
+#> 3 1 -12.20 -2.55 2.6656746 -0.1591727 -9.534325 -2.709173 2
+#> 4 1 -2.30 -13.70 -0.3169159 1.0030569 -2.616916 -12.696943 1
+#> 5 1 -12.60 -7.80 -0.5437199 0.7415460 -13.143720 -7.058454 2
+#> 6 1 -7.60 -12.40 2.3068546 0.7163272 -5.293145 -11.683673 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4500 -72025 14775
+#> initial value 998.131940
+#> iter 2 value 675.403745
+#> iter 3 value 675.349118
+#> iter 4 value 675.304664
+#> iter 5 value 655.372284
+#> iter 6 value 653.153039
+#> iter 7 value 653.099870
+#> iter 8 value 653.099549
+#> iter 8 value 653.099547
+#> final value 653.099547
+#> converged
+#> This is Run number 391
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.64213004 -0.5862174 -4.942130 -13.186217 1
+#> 2 1 -0.35 -14.40 2.11835571 -0.2768678 1.768356 -14.676868 1
+#> 3 1 -12.20 -2.55 1.02123320 6.3755098 -11.178767 3.825510 2
+#> 4 1 -2.30 -13.70 -0.38409478 -0.5861854 -2.684095 -14.286185 1
+#> 5 1 -12.60 -7.80 -0.15141692 4.2771842 -12.751417 -3.522816 2
+#> 6 1 -7.60 -12.40 0.07968461 0.9954523 -7.520315 -11.404548 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4340 -71950 12800
+#> initial value 998.131940
+#> iter 2 value 679.448655
+#> iter 3 value 678.858937
+#> iter 4 value 678.412240
+#> iter 5 value 658.874311
+#> iter 6 value 656.762682
+#> iter 7 value 656.715105
+#> iter 8 value 656.714844
+#> iter 8 value 656.714843
+#> final value 656.714843
+#> converged
+#> This is Run number 392
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 2.0347111 -0.2997248 -2.2652889 -12.899725 1
+#> 2 1 -0.35 -14.40 -0.0213697 3.3486733 -0.3713697 -11.051327 1
+#> 3 1 -12.20 -2.55 1.1011357 0.2832718 -11.0988643 -2.266728 2
+#> 4 1 -2.30 -13.70 3.2566784 -0.3009832 0.9566784 -14.000983 1
+#> 5 1 -12.60 -7.80 1.6585178 -0.5962333 -10.9414822 -8.396233 2
+#> 6 1 -7.60 -12.40 0.8531375 0.3878074 -6.7468625 -12.012193 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4640 -72725 13675
+#> initial value 998.131940
+#> iter 2 value 670.962379
+#> iter 3 value 670.785339
+#> iter 4 value 670.655218
+#> iter 5 value 650.268496
+#> iter 6 value 647.971520
+#> iter 7 value 647.916743
+#> iter 8 value 647.916436
+#> iter 8 value 647.916434
+#> final value 647.916434
+#> converged
+#> This is Run number 393
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.1728994 0.49463701 -3.127101 -12.105363 1
+#> 2 1 -0.35 -14.40 -1.5363894 -0.39306095 -1.886389 -14.793061 1
+#> 3 1 -12.20 -2.55 1.8340732 0.32229649 -10.365927 -2.227704 2
+#> 4 1 -2.30 -13.70 -0.3805726 0.67815335 -2.680573 -13.021847 1
+#> 5 1 -12.60 -7.80 2.0409330 0.06195916 -10.559067 -7.738041 2
+#> 6 1 -7.60 -12.40 0.6132919 -0.79570881 -6.986708 -13.195709 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5360 -73225 13950
+#> initial value 998.131940
+#> iter 2 value 665.520988
+#> iter 3 value 665.390102
+#> iter 4 value 665.320057
+#> iter 5 value 644.413062
+#> iter 6 value 642.046750
+#> iter 7 value 641.991539
+#> iter 8 value 641.991312
+#> iter 8 value 641.991311
+#> final value 641.991311
+#> converged
+#> This is Run number 394
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.5976996 0.6341318 -3.7023004 -11.965868 1
+#> 2 1 -0.35 -14.40 0.0425985 0.2291795 -0.3074015 -14.170821 1
+#> 3 1 -12.20 -2.55 -0.5592776 0.7237825 -12.7592776 -1.826217 2
+#> 4 1 -2.30 -13.70 -0.3516388 0.2601469 -2.6516388 -13.439853 1
+#> 5 1 -12.60 -7.80 0.2060465 -0.3523917 -12.3939535 -8.152392 2
+#> 6 1 -7.60 -12.40 0.3678169 -1.5555695 -7.2321831 -13.955569 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5220 -71325 13225
+#> initial value 998.131940
+#> iter 2 value 683.834238
+#> iter 3 value 683.616508
+#> iter 4 value 683.574142
+#> iter 5 value 664.957415
+#> iter 6 value 663.090190
+#> iter 7 value 663.054470
+#> iter 8 value 663.054365
+#> iter 8 value 663.054365
+#> final value 663.054365
+#> converged
+#> This is Run number 395
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.3162041 3.409546065 -4.61620405 -9.190454 1
+#> 2 1 -0.35 -14.40 0.4267161 0.386028959 0.07671614 -14.013971 1
+#> 3 1 -12.20 -2.55 0.1115938 0.238280409 -12.08840618 -2.311720 2
+#> 4 1 -2.30 -13.70 0.7718747 -0.770536547 -1.52812530 -14.470537 1
+#> 5 1 -12.60 -7.80 0.5131319 -0.005922391 -12.08686810 -7.805922 2
+#> 6 1 -7.60 -12.40 1.5996178 0.030106035 -6.00038221 -12.369894 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5600 -74550 15125
+#> initial value 998.131940
+#> iter 2 value 651.064890
+#> iter 3 value 650.621236
+#> iter 4 value 650.605118
+#> iter 5 value 627.679508
+#> iter 6 value 624.819958
+#> iter 7 value 624.741247
+#> iter 8 value 624.740823
+#> iter 8 value 624.740821
+#> final value 624.740821
+#> converged
+#> This is Run number 396
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.1662022 0.9409474 -4.1337978 -11.659053 1
+#> 2 1 -0.35 -14.40 -0.2750074 0.1244792 -0.6250074 -14.275521 1
+#> 3 1 -12.20 -2.55 0.2385702 -1.0719245 -11.9614298 -3.621925 2
+#> 4 1 -2.30 -13.70 1.3299788 1.4116138 -0.9700212 -12.288386 1
+#> 5 1 -12.60 -7.80 2.2035846 -0.4130746 -10.3964154 -8.213075 2
+#> 6 1 -7.60 -12.40 0.9462348 0.2536262 -6.6537652 -12.146374 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5120 -74000 14225
+#> initial value 998.131940
+#> iter 2 value 658.116323
+#> iter 3 value 658.059359
+#> iter 4 value 658.058795
+#> iter 5 value 635.190630
+#> iter 6 value 633.492198
+#> iter 7 value 633.446551
+#> iter 8 value 633.446357
+#> iter 8 value 633.446355
+#> final value 633.446355
+#> converged
+#> This is Run number 397
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 0.9373730 2.9264764 -3.3626270 -9.673524 1
+#> 2 1 -0.35 -14.40 0.7813726 -0.9344105 0.4313726 -15.334410 1
+#> 3 1 -12.20 -2.55 -0.1344729 -1.5412636 -12.3344729 -4.091264 2
+#> 4 1 -2.30 -13.70 -1.0523780 0.1023750 -3.3523780 -13.597625 1
+#> 5 1 -12.60 -7.80 -0.8736665 1.1594645 -13.4736665 -6.640535 2
+#> 6 1 -7.60 -12.40 -1.5656720 0.1807164 -9.1656720 -12.219284 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5440 -72300 13800
+#> initial value 998.131940
+#> iter 2 value 674.072068
+#> iter 3 value 673.894852
+#> iter 4 value 673.751665
+#> iter 5 value 653.913386
+#> iter 6 value 651.789729
+#> iter 7 value 651.744894
+#> iter 8 value 651.744744
+#> iter 8 value 651.744744
+#> final value 651.744744
+#> converged
+#> This is Run number 398
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 1.80882089 1.5085413 -2.491179 -11.09145870 1
+#> 2 1 -0.35 -14.40 -1.08462787 2.3356897 -1.434628 -12.06431029 1
+#> 3 1 -12.20 -2.55 0.09543092 2.5183198 -12.104569 -0.03168025 2
+#> 4 1 -2.30 -13.70 1.12205737 0.1796286 -1.177943 -13.52037136 1
+#> 5 1 -12.60 -7.80 1.28236998 -0.1828278 -11.317630 -7.98282776 2
+#> 6 1 -7.60 -12.40 -0.43474305 1.5504189 -8.034743 -10.84958112 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4460 -74375 16250
+#> initial value 998.131940
+#> iter 2 value 651.153594
+#> iter 3 value 650.812314
+#> iter 4 value 650.725092
+#> iter 5 value 627.323430
+#> iter 6 value 624.197270
+#> iter 7 value 624.094192
+#> iter 8 value 624.093145
+#> iter 8 value 624.093138
+#> final value 624.093138
+#> converged
+#> This is Run number 399
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -0.0504533 1.0578019 -4.350453 -11.542198 1
+#> 2 1 -0.35 -14.40 -0.7823749 -1.1968938 -1.132375 -15.596894 1
+#> 3 1 -12.20 -2.55 1.0670194 0.7360541 -11.132981 -1.813946 2
+#> 4 1 -2.30 -13.70 -1.2507973 0.3416819 -3.550797 -13.358318 1
+#> 5 1 -12.60 -7.80 1.2278414 0.7945179 -11.372159 -7.005482 2
+#> 6 1 -7.60 -12.40 0.5799862 0.6721747 -7.020014 -11.727825 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4540 -70800 14600
+#> initial value 998.131940
+#> iter 2 value 686.529176
+#> iter 3 value 686.496561
+#> iter 4 value 686.478242
+#> iter 5 value 667.973117
+#> iter 6 value 666.080436
+#> iter 7 value 666.041173
+#> iter 8 value 666.040991
+#> iter 8 value 666.040990
+#> final value 666.040990
+#> converged
+#> This is Run number 400
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation alt1_x1 alt1_x2 alt1_x3 alt2_x1 alt2_x2 alt2_x3 Block
+#> 1 1 9 80 50 0 60 200 100 1
+#> 2 1 12 60 25 100 40 200 0 1
+#> 3 1 13 20 200 100 80 25 0 1
+#> 4 1 70 80 50 100 20 200 25 1
+#> 5 1 71 60 200 100 80 100 0 1
+#> 6 1 73 60 100 0 40 200 100 1
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -4.30 -12.60 -1.93221339 -0.2428991 -6.232213 -12.842899 1
+#> 2 1 -0.35 -14.40 3.15680315 0.3766600 2.806803 -14.023340 1
+#> 3 1 -12.20 -2.55 -0.48498522 -0.1312370 -12.684985 -2.681237 2
+#> 4 1 -2.30 -13.70 -0.04158429 3.1096781 -2.341584 -10.590322 1
+#> 5 1 -12.60 -7.80 -0.82381035 0.9514004 -13.423810 -6.848600 2
+#> 6 1 -7.60 -12.40 0.19613015 -0.3287559 -7.403870 -12.728756 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 4820 -71525 13475
+#> initial value 998.131940
+#> iter 2 value 681.920935
+#> iter 3 value 681.800826
+#> iter 4 value 681.783559
+#> iter 5 value 662.856611
+#> iter 6 value 660.915060
+#> iter 7 value 660.875253
+#> iter 8 value 660.875095
+#> iter 8 value 660.875094
+#> final value 660.875094
+#> converged
+#>
+#>
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ====
+#> \ vars n mean sd median min max range skew kurtosis se
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ====
+#> est_bpreis 1 400 0.00 0.00 0.00 0.00 0.00 0.01 0.04 -0.04 0.00
+#> est_blade 2 400 -0.01 0.00 -0.01 -0.01 -0.01 0.00 -0.16 0.00 0.00
+#> est_bwarte 3 400 0.00 0.00 0.00 0.00 0.00 0.00 -0.20 -0.14 0.00
+#> rob_pval0_bpreis 4 400 0.60 0.26 0.62 0.02 1.00 0.98 -0.26 -0.94 0.01
+#> rob_pval0_blade 5 400 0.00 0.00 0.00 0.00 0.00 0.00 NaN NaN 0.00
+#> rob_pval0_bwarte 6 400 0.03 0.07 0.00 0.00 0.93 0.93 6.77 68.33 0.00
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ====
+#>
+#> FALSE TRUE
+#> 99.5 0.5
+#> 'simple' is deprecated and will be removed in the future. Use 'exact' instead.
+#> bcoeff_lookup already exists; skipping modification.
+#> Utility function used in simulation, ie the true utility:
+#>
+#> $u1
+#> $u1$v1
+#> V.1 ~ bpreis * alt1.x1 + blade * alt1.x2 + bwarte * alt1.x3
+#> <environment: 0x5cc613e605b8>
+#>
+#> $u1$v2
+#> V.2 ~ bpreis * alt2.x1 + blade * alt2.x2 + bwarte * alt2.x3
+#> <environment: 0x5cc613ccff70>
+#>
+#>
+#> $u2
+#> $u2$v1
+#> V.1 ~ bpreis * alt1.x1
+#> <environment: 0x5cc61414a1d8>
+#>
+#> $u2$v2
+#> V.2 ~ bpreis * alt2.x1
+#> <environment: 0x5cc6137be2f0>
+#> 'destype' is deprecated. Please use 'designtype' instead.
+#> New names:
+#>
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.02528852 -0.70994333 2.475289 -13.909943 1
+#> 2 1 -3.10 -5.40 0.68244517 0.34087389 -2.417555 -5.059126 1
+#> 3 1 -14.60 -12.20 0.46499630 0.81641767 -14.135004 -11.383582 2
+#> 4 1 -14.20 -0.55 0.08203439 0.14672696 -14.117966 -0.403273 2
+#> 5 1 -5.40 -3.30 0.23605425 -1.75537171 -5.163946 -5.055372 2
+#> 6 1 -4.10 -2.55 0.35449270 -0.03041502 -3.745507 -2.580415 2
+#>
+#>
+#> Transformed utility function (type: simple ):
+#> [1] "U_1 = @bpreis * $alt1_x1 + @blade * $alt1_x2 + @bwarte * $alt1_x3 ;U_2 = @bpreis * $alt2_x1 + @blade * $alt2_x2 + @bwarte * $alt2_x3 ;"
+#> This is Run number 1
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.90763948 3.3271422 0.3576395 -9.8728578 1
+#> 2 1 -3.10 -5.40 1.31834491 -1.0308874 -1.7816551 -6.4308874 1
+#> 3 1 -14.60 -12.20 0.05001073 0.2634511 -14.5499893 -11.9365489 2
+#> 4 1 -14.20 -0.55 1.06277693 0.2813064 -13.1372231 -0.2686936 2
+#> 5 1 -5.40 -3.30 4.81348729 2.8871078 -0.5865127 -0.4128922 2
+#> 6 1 -4.10 -2.55 0.09799839 1.5344117 -4.0020016 -1.0155883 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -37450 6375
+#> initial value 998.131940
+#> iter 2 value 846.008014
+#> iter 3 value 841.618609
+#> iter 4 value 839.665146
+#> iter 5 value 790.901987
+#> iter 6 value 780.312642
+#> iter 7 value 778.593460
+#> iter 8 value 778.554095
+#> iter 9 value 778.554064
+#> iter 10 value 778.554048
+#> iter 11 value 778.553994
+#> iter 12 value 778.553948
+#> iter 12 value 778.553948
+#> iter 12 value 778.553948
+#> final value 778.553948
+#> converged
+#> This is Run number 2
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.07548223 1.3968750 -1.625482 -11.8031250 1
+#> 2 1 -3.10 -5.40 -0.06506065 2.4283387 -3.165061 -2.9716613 2
+#> 3 1 -14.60 -12.20 2.20947592 0.8640842 -12.390524 -11.3359158 2
+#> 4 1 -14.20 -0.55 0.31487723 -0.4384846 -13.885123 -0.9884846 2
+#> 5 1 -5.40 -3.30 -0.68525370 -0.2645240 -6.085254 -3.5645240 2
+#> 6 1 -4.10 -2.55 1.07677584 1.7133891 -3.023224 -0.8366109 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5980 -35625 6825
+#> initial value 998.131940
+#> iter 2 value 867.326617
+#> iter 3 value 863.824257
+#> iter 4 value 860.627073
+#> iter 5 value 806.029443
+#> iter 6 value 796.289687
+#> iter 7 value 794.611451
+#> iter 8 value 794.578634
+#> iter 9 value 794.578597
+#> iter 10 value 794.578575
+#> iter 11 value 794.578526
+#> iter 12 value 794.578497
+#> iter 12 value 794.578497
+#> iter 12 value 794.578497
+#> final value 794.578497
+#> converged
+#> This is Run number 3
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.2596672 2.63915318 -0.8096672 -10.5608468 1
+#> 2 1 -3.10 -5.40 -0.2666580 1.70993192 -3.3666580 -3.6900681 1
+#> 3 1 -14.60 -12.20 0.9038578 1.64217847 -13.6961422 -10.5578215 2
+#> 4 1 -14.20 -0.55 -1.1036047 -0.40434470 -15.3036047 -0.9543447 2
+#> 5 1 -5.40 -3.30 3.0835202 -0.07462033 -2.3164798 -3.3746203 1
+#> 6 1 -4.10 -2.55 1.3449096 1.24575656 -2.7550904 -1.3042434 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -35900 6700
+#> initial value 998.131940
+#> iter 2 value 864.518948
+#> iter 3 value 862.014149
+#> iter 4 value 860.827859
+#> iter 5 value 806.669401
+#> iter 6 value 796.701543
+#> iter 7 value 794.981859
+#> iter 8 value 794.946218
+#> iter 9 value 794.946163
+#> iter 10 value 794.946135
+#> iter 11 value 794.946081
+#> iter 12 value 794.946044
+#> iter 12 value 794.946044
+#> iter 12 value 794.946044
+#> final value 794.946044
+#> converged
+#> This is Run number 4
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.31690216 -0.5165564 1.766902 -13.7165564 1
+#> 2 1 -3.10 -5.40 1.34806806 -1.2833637 -1.751932 -6.6833637 1
+#> 3 1 -14.60 -12.20 0.44226740 0.8483838 -14.157733 -11.3516162 2
+#> 4 1 -14.20 -0.55 5.29976916 -0.2112677 -8.900231 -0.7612677 2
+#> 5 1 -5.40 -3.30 0.06069289 0.3663346 -5.339307 -2.9336654 2
+#> 6 1 -4.10 -2.55 2.23548737 1.0176448 -1.864513 -1.5323552 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5780 -35175 6625
+#> initial value 998.131940
+#> iter 2 value 873.950383
+#> iter 3 value 870.540146
+#> iter 4 value 866.423359
+#> iter 5 value 811.257507
+#> iter 6 value 801.766063
+#> iter 7 value 800.069095
+#> iter 8 value 800.035564
+#> iter 9 value 800.035523
+#> iter 9 value 800.035518
+#> iter 9 value 800.035518
+#> final value 800.035518
+#> converged
+#> This is Run number 5
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.60841637 1.5035540 -1.158416 -11.6964460 1
+#> 2 1 -3.10 -5.40 -0.02662212 0.6990950 -3.126622 -4.7009050 1
+#> 3 1 -14.60 -12.20 0.68905188 -1.4797568 -13.910948 -13.6797568 2
+#> 4 1 -14.20 -0.55 0.15421777 0.2720571 -14.045782 -0.2779429 2
+#> 5 1 -5.40 -3.30 1.52828884 -0.8506574 -3.871711 -4.1506574 1
+#> 6 1 -4.10 -2.55 1.01621204 2.8245259 -3.083788 0.2745259 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7140 -37725 6200
+#> initial value 998.131940
+#> iter 2 value 842.959388
+#> iter 3 value 838.955024
+#> iter 4 value 837.745270
+#> iter 5 value 789.908635
+#> iter 6 value 779.168498
+#> iter 7 value 777.421442
+#> iter 8 value 777.379389
+#> iter 9 value 777.379341
+#> iter 10 value 777.379320
+#> iter 11 value 777.379269
+#> iter 12 value 777.379231
+#> iter 12 value 777.379231
+#> iter 12 value 777.379231
+#> final value 777.379231
+#> converged
+#> This is Run number 6
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.96458983 -0.01651627 2.414590 -13.2165163 1
+#> 2 1 -3.10 -5.40 -0.30920491 -0.03919222 -3.409205 -5.4391922 1
+#> 3 1 -14.60 -12.20 -1.37443707 -0.98443402 -15.974437 -13.1844340 2
+#> 4 1 -14.20 -0.55 -0.06324216 0.25459055 -14.263242 -0.2954094 2
+#> 5 1 -5.40 -3.30 0.62203563 -0.65071920 -4.777964 -3.9507192 2
+#> 6 1 -4.10 -2.55 -0.06144710 2.21022169 -4.161447 -0.3397783 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -36200 8025
+#> initial value 998.131940
+#> iter 2 value 852.244929
+#> iter 3 value 848.032253
+#> iter 4 value 846.815170
+#> iter 5 value 791.322603
+#> iter 6 value 781.353095
+#> iter 7 value 779.783530
+#> iter 8 value 779.759555
+#> iter 9 value 779.759466
+#> iter 10 value 779.759429
+#> iter 11 value 779.759395
+#> iter 11 value 779.759393
+#> iter 11 value 779.759393
+#> final value 779.759393
+#> converged
+#> This is Run number 7
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.5893729 -0.5764677 1.039373 -13.776468 1
+#> 2 1 -3.10 -5.40 0.4759561 -0.3696834 -2.624044 -5.769683 1
+#> 3 1 -14.60 -12.20 -0.1647257 0.7736950 -14.764726 -11.426305 2
+#> 4 1 -14.20 -0.55 1.7520382 1.1146010 -12.447962 0.564601 2
+#> 5 1 -5.40 -3.30 2.6332645 -0.1968581 -2.766735 -3.496858 1
+#> 6 1 -4.10 -2.55 -0.3475618 -0.1663319 -4.447562 -2.716332 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6860 -37000 5525
+#> initial value 998.131940
+#> iter 2 value 856.624433
+#> iter 3 value 853.021841
+#> iter 4 value 850.296973
+#> iter 5 value 801.728826
+#> iter 6 value 791.388143
+#> iter 7 value 789.372335
+#> iter 8 value 789.316471
+#> iter 9 value 789.316334
+#> iter 10 value 789.316318
+#> iter 11 value 789.316293
+#> iter 12 value 789.316267
+#> iter 12 value 789.316267
+#> iter 12 value 789.316267
+#> final value 789.316267
+#> converged
+#> This is Run number 8
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.8172738 2.4534360 0.2672738 -10.7465640 1
+#> 2 1 -3.10 -5.40 0.7103202 1.7419968 -2.3896798 -3.6580032 1
+#> 3 1 -14.60 -12.20 1.7699617 -0.6803334 -12.8300383 -12.8803334 1
+#> 4 1 -14.20 -0.55 -0.0116915 0.7570815 -14.2116915 0.2070815 2
+#> 5 1 -5.40 -3.30 0.4358475 -0.3331423 -4.9641525 -3.6331423 2
+#> 6 1 -4.10 -2.55 1.2185100 -0.7765633 -2.8814900 -3.3265633 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6620 -35850 4900
+#> initial value 998.131940
+#> iter 2 value 874.470913
+#> iter 3 value 871.575852
+#> iter 4 value 868.031280
+#> iter 5 value 817.511681
+#> iter 6 value 807.911319
+#> iter 7 value 805.587309
+#> iter 8 value 805.521409
+#> iter 9 value 805.521172
+#> iter 9 value 805.521171
+#> iter 9 value 805.521171
+#> final value 805.521171
+#> converged
+#> This is Run number 9
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.9109775 0.2846043 0.3609775 -12.9153957 1
+#> 2 1 -3.10 -5.40 2.6267803 0.4605270 -0.4732197 -4.9394730 1
+#> 3 1 -14.60 -12.20 0.1995857 0.3387105 -14.4004143 -11.8612895 2
+#> 4 1 -14.20 -0.55 0.8196019 1.1677647 -13.3803981 0.6177647 2
+#> 5 1 -5.40 -3.30 0.8505988 0.1984909 -4.5494012 -3.1015091 2
+#> 6 1 -4.10 -2.55 -1.2096666 1.0250598 -5.3096666 -1.5249402 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6880 -36775 4900
+#> initial value 998.131940
+#> iter 2 value 862.546980
+#> iter 3 value 859.065098
+#> iter 4 value 855.529214
+#> iter 5 value 807.602880
+#> iter 6 value 797.527878
+#> iter 7 value 795.209905
+#> iter 8 value 795.138811
+#> iter 9 value 795.138545
+#> iter 9 value 795.138543
+#> iter 9 value 795.138543
+#> final value 795.138543
+#> converged
+#> This is Run number 10
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.4155003 0.6573723 -0.9655003 -12.5426277 1
+#> 2 1 -3.10 -5.40 -0.8535027 0.4388569 -3.9535027 -4.9611431 1
+#> 3 1 -14.60 -12.20 2.2610975 0.5162272 -12.3389025 -11.6837728 2
+#> 4 1 -14.20 -0.55 1.3489547 1.0674091 -12.8510453 0.5174091 2
+#> 5 1 -5.40 -3.30 1.3190987 0.7864555 -4.0809013 -2.5135445 2
+#> 6 1 -4.10 -2.55 0.2320448 0.6830972 -3.8679552 -1.8669028 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6540 -38000 7350
+#> initial value 998.131940
+#> iter 2 value 832.559051
+#> iter 3 value 825.688466
+#> iter 4 value 823.045355
+#> iter 5 value 774.766609
+#> iter 6 value 764.263658
+#> iter 7 value 762.710131
+#> iter 8 value 762.680964
+#> iter 9 value 762.680812
+#> iter 10 value 762.680759
+#> iter 11 value 762.680741
+#> iter 12 value 762.680712
+#> iter 12 value 762.680712
+#> iter 12 value 762.680712
+#> final value 762.680712
+#> converged
+#> This is Run number 11
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.1327490 -0.42473652 -0.682749 -13.6247365 1
+#> 2 1 -3.10 -5.40 0.6089120 -0.80196043 -2.491088 -6.2019604 1
+#> 3 1 -14.60 -12.20 2.1590566 -0.54859181 -12.440943 -12.7485918 1
+#> 4 1 -14.20 -0.55 2.1562311 0.98918902 -12.043769 0.4391890 2
+#> 5 1 -5.40 -3.30 -0.3810852 -0.09280456 -5.781085 -3.3928046 2
+#> 6 1 -4.10 -2.55 7.8963118 1.77255253 3.796312 -0.7774475 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 8040 -37500 4550
+#> initial value 998.131940
+#> iter 2 value 852.955869
+#> iter 3 value 851.264820
+#> iter 4 value 851.100315
+#> iter 5 value 804.604739
+#> iter 6 value 794.331647
+#> iter 7 value 791.691864
+#> iter 8 value 791.599390
+#> iter 9 value 791.598904
+#> iter 10 value 791.598874
+#> iter 10 value 791.598865
+#> iter 10 value 791.598857
+#> final value 791.598857
+#> converged
+#> This is Run number 12
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.6851811 4.1366897 -1.235181 -9.0633103 1
+#> 2 1 -3.10 -5.40 0.6562851 -0.6038914 -2.443715 -6.0038914 1
+#> 3 1 -14.60 -12.20 1.3640892 0.2060611 -13.235911 -11.9939389 2
+#> 4 1 -14.20 -0.55 0.9021882 2.0582305 -13.297812 1.5082305 2
+#> 5 1 -5.40 -3.30 2.9437295 1.5084200 -2.456271 -1.7915800 2
+#> 6 1 -4.10 -2.55 1.5622043 2.7017777 -2.537796 0.1517777 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5820 -35575 7675
+#> initial value 998.131940
+#> iter 2 value 862.508341
+#> iter 3 value 858.841360
+#> iter 4 value 856.316249
+#> iter 5 value 799.814967
+#> iter 6 value 790.126421
+#> iter 7 value 788.533776
+#> iter 8 value 788.507746
+#> iter 9 value 788.507708
+#> iter 10 value 788.507689
+#> iter 11 value 788.507649
+#> iter 12 value 788.507622
+#> iter 12 value 788.507622
+#> iter 12 value 788.507622
+#> final value 788.507622
+#> converged
+#> This is Run number 13
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.2728004 -1.4115889 -0.2771996 -14.6115889 1
+#> 2 1 -3.10 -5.40 1.2974715 0.7113266 -1.8025285 -4.6886734 1
+#> 3 1 -14.60 -12.20 -0.9698873 0.3584653 -15.5698873 -11.8415347 2
+#> 4 1 -14.20 -0.55 -0.9139499 0.3816086 -15.1139499 -0.1683914 2
+#> 5 1 -5.40 -3.30 -0.5925152 -0.8766069 -5.9925152 -4.1766069 2
+#> 6 1 -4.10 -2.55 1.8775163 -0.4745635 -2.2224837 -3.0245635 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6940 -37450 6950
+#> initial value 998.131940
+#> iter 2 value 842.477219
+#> iter 3 value 838.100773
+#> iter 4 value 837.309596
+#> iter 5 value 787.424159
+#> iter 6 value 776.823732
+#> iter 7 value 775.209031
+#> iter 8 value 775.177699
+#> iter 9 value 775.177639
+#> iter 10 value 775.177599
+#> iter 11 value 775.177542
+#> iter 12 value 775.177515
+#> iter 12 value 775.177515
+#> iter 12 value 775.177515
+#> final value 775.177515
+#> converged
+#> This is Run number 14
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.007086136 -0.678872632 -0.5429139 -13.8788726 1
+#> 2 1 -3.10 -5.40 1.055067697 0.988465113 -2.0449323 -4.4115349 1
+#> 3 1 -14.60 -12.20 0.071203475 -0.009621214 -14.5287965 -12.2096212 2
+#> 4 1 -14.20 -0.55 -0.356258462 0.734024416 -14.5562585 0.1840244 2
+#> 5 1 -5.40 -3.30 -0.456796061 -1.059954760 -5.8567961 -4.3599548 2
+#> 6 1 -4.10 -2.55 -0.401851520 0.242717664 -4.5018515 -2.3072823 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -34000 5800
+#> initial value 998.131940
+#> iter 2 value 891.884291
+#> iter 3 value 891.372681
+#> iter 4 value 889.684086
+#> iter 5 value 832.187507
+#> iter 6 value 823.371373
+#> iter 7 value 821.515912
+#> iter 8 value 821.476543
+#> iter 9 value 821.476445
+#> iter 10 value 821.476410
+#> iter 11 value 821.476361
+#> iter 12 value 821.476339
+#> iter 12 value 821.476339
+#> iter 12 value 821.476339
+#> final value 821.476339
+#> converged
+#> This is Run number 15
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.0322411 -1.3915722 0.4822411 -14.591572 1
+#> 2 1 -3.10 -5.40 1.0014754 -0.1896714 -2.0985246 -5.589671 1
+#> 3 1 -14.60 -12.20 -1.2917684 -0.6700770 -15.8917684 -12.870077 2
+#> 4 1 -14.20 -0.55 0.6982712 1.9278354 -13.5017288 1.377835 2
+#> 5 1 -5.40 -3.30 -0.8914384 1.8268969 -6.2914384 -1.473103 2
+#> 6 1 -4.10 -2.55 -0.1766601 -0.7452310 -4.2766601 -3.295231 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6960 -37025 5125
+#> initial value 998.131940
+#> iter 2 value 858.158445
+#> iter 3 value 854.688204
+#> iter 4 value 851.704301
+#> iter 5 value 803.931486
+#> iter 6 value 793.663393
+#> iter 7 value 791.468722
+#> iter 8 value 791.402874
+#> iter 9 value 791.402658
+#> iter 9 value 791.402651
+#> iter 9 value 791.402651
+#> final value 791.402651
+#> converged
+#> This is Run number 16
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.9018604 -0.2478147 0.3518604 -13.447815 1
+#> 2 1 -3.10 -5.40 0.8878357 -1.2255654 -2.2121643 -6.625565 1
+#> 3 1 -14.60 -12.20 0.1952865 0.8974560 -14.4047135 -11.302544 2
+#> 4 1 -14.20 -0.55 1.8889190 1.9316187 -12.3110810 1.381619 2
+#> 5 1 -5.40 -3.30 -1.3585837 0.7021674 -6.7585837 -2.597833 2
+#> 6 1 -4.10 -2.55 3.2344755 0.8036624 -0.8655245 -1.746338 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6980 -38200 5900
+#> initial value 998.131940
+#> iter 2 value 838.088742
+#> iter 3 value 832.784959
+#> iter 4 value 829.566952
+#> iter 5 value 784.317969
+#> iter 6 value 773.504847
+#> iter 7 value 771.744850
+#> iter 8 value 771.699360
+#> iter 9 value 771.699322
+#> iter 10 value 771.699306
+#> iter 11 value 771.699274
+#> iter 12 value 771.699248
+#> iter 12 value 771.699248
+#> iter 12 value 771.699248
+#> final value 771.699248
+#> converged
+#> This is Run number 17
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.4699835 -1.60596936 -2.019983 -14.8059694 1
+#> 2 1 -3.10 -5.40 0.9589402 2.82214065 -2.141060 -2.5778594 1
+#> 3 1 -14.60 -12.20 -0.9442063 -0.44304215 -15.544206 -12.6430421 2
+#> 4 1 -14.20 -0.55 -0.6162783 1.18262700 -14.816278 0.6326270 2
+#> 5 1 -5.40 -3.30 0.3171382 -0.03873979 -5.082862 -3.3387398 2
+#> 6 1 -4.10 -2.55 0.4505116 1.90761315 -3.649488 -0.6423869 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6560 -36800 5900
+#> initial value 998.131940
+#> iter 2 value 857.510607
+#> iter 3 value 853.330390
+#> iter 4 value 849.878216
+#> iter 5 value 800.392253
+#> iter 6 value 790.125813
+#> iter 7 value 788.249307
+#> iter 8 value 788.201994
+#> iter 9 value 788.201914
+#> iter 10 value 788.201896
+#> iter 11 value 788.201865
+#> iter 12 value 788.201840
+#> iter 12 value 788.201840
+#> iter 12 value 788.201840
+#> final value 788.201840
+#> converged
+#> This is Run number 18
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.2769878 0.6203175 -0.8269878 -12.57968248 1
+#> 2 1 -3.10 -5.40 0.1897700 0.6231066 -2.9102300 -4.77689344 1
+#> 3 1 -14.60 -12.20 1.3097676 -1.0104082 -13.2902324 -13.21040819 2
+#> 4 1 -14.20 -0.55 -0.2063501 0.5607748 -14.4063501 0.01077476 2
+#> 5 1 -5.40 -3.30 1.0059570 1.1162843 -4.3940430 -2.18371571 2
+#> 6 1 -4.10 -2.55 2.5403404 -0.7440465 -1.5596596 -3.29404647 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7120 -37625 5425
+#> initial value 998.131940
+#> iter 2 value 848.463241
+#> iter 3 value 844.637671
+#> iter 4 value 842.220890
+#> iter 5 value 795.590487
+#> iter 6 value 784.976642
+#> iter 7 value 782.967100
+#> iter 8 value 782.908764
+#> iter 9 value 782.908623
+#> iter 10 value 782.908610
+#> iter 11 value 782.908587
+#> iter 12 value 782.908560
+#> iter 12 value 782.908560
+#> iter 12 value 782.908560
+#> final value 782.908560
+#> converged
+#> This is Run number 19
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.67211170 1.14135383 -1.222112 -12.0586462 1
+#> 2 1 -3.10 -5.40 0.15864553 -0.25965880 -2.941354 -5.6596588 1
+#> 3 1 -14.60 -12.20 -0.34257991 0.04829052 -14.942580 -12.1517095 2
+#> 4 1 -14.20 -0.55 2.81741666 0.44337880 -11.382583 -0.1066212 2
+#> 5 1 -5.40 -3.30 1.66806534 2.83809823 -3.731935 -0.4619018 2
+#> 6 1 -4.10 -2.55 -0.09347346 0.18823489 -4.193473 -2.3617651 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6560 -34200 5725
+#> initial value 998.131940
+#> iter 2 value 889.870831
+#> iter 3 value 889.845133
+#> iter 4 value 889.263657
+#> iter 5 value 832.129051
+#> iter 6 value 823.189725
+#> iter 7 value 821.244600
+#> iter 8 value 821.200639
+#> iter 9 value 821.200505
+#> iter 10 value 821.200473
+#> iter 11 value 821.200421
+#> iter 12 value 821.200384
+#> iter 12 value 821.200384
+#> iter 12 value 821.200384
+#> final value 821.200384
+#> converged
+#> This is Run number 20
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.30423031 -1.10831156 1.754230 -14.3083116 1
+#> 2 1 -3.10 -5.40 -0.91667914 -0.48616013 -4.016679 -5.8861601 1
+#> 3 1 -14.60 -12.20 -0.41635986 0.54867341 -15.016360 -11.6513266 2
+#> 4 1 -14.20 -0.55 -0.14695708 0.05488111 -14.346957 -0.4951189 2
+#> 5 1 -5.40 -3.30 -1.00014124 0.05551978 -6.400141 -3.2444802 2
+#> 6 1 -4.10 -2.55 0.02980048 1.31491638 -4.070200 -1.2350836 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -36425 5775
+#> initial value 998.131940
+#> iter 2 value 863.071898
+#> iter 3 value 859.250788
+#> iter 4 value 855.677165
+#> iter 5 value 805.340072
+#> iter 6 value 795.261526
+#> iter 7 value 793.329150
+#> iter 8 value 793.280011
+#> iter 9 value 793.279911
+#> iter 10 value 793.279893
+#> iter 11 value 793.279865
+#> iter 12 value 793.279841
+#> iter 12 value 793.279841
+#> iter 12 value 793.279841
+#> final value 793.279841
+#> converged
+#> This is Run number 21
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.5928889 1.09935063 -1.142889 -12.100649 1
+#> 2 1 -3.10 -5.40 1.3318646 -0.03801232 -1.768135 -5.438012 1
+#> 3 1 -14.60 -12.20 2.7456376 -0.37546229 -11.854362 -12.575462 1
+#> 4 1 -14.20 -0.55 1.4145979 1.87392680 -12.785402 1.323927 2
+#> 5 1 -5.40 -3.30 1.9204827 0.06833140 -3.479517 -3.231669 2
+#> 6 1 -4.10 -2.55 1.0080361 0.37972500 -3.091964 -2.170275 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7180 -37950 6600
+#> initial value 998.131940
+#> iter 2 value 837.463524
+#> iter 3 value 832.968779
+#> iter 4 value 832.161672
+#> iter 5 value 784.384601
+#> iter 6 value 773.584206
+#> iter 7 value 771.947058
+#> iter 8 value 771.912242
+#> iter 9 value 771.912190
+#> iter 10 value 771.912174
+#> iter 11 value 771.912116
+#> iter 12 value 771.912064
+#> iter 12 value 771.912064
+#> iter 12 value 771.912064
+#> final value 771.912064
+#> converged
+#> This is Run number 22
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.0004067 -0.1451873 0.4504067 -13.345187 1
+#> 2 1 -3.10 -5.40 0.2963629 -0.6412208 -2.8036371 -6.041221 1
+#> 3 1 -14.60 -12.20 -0.4551832 0.9531311 -15.0551832 -11.246869 2
+#> 4 1 -14.20 -0.55 1.2865208 2.9002974 -12.9134792 2.350297 2
+#> 5 1 -5.40 -3.30 1.7545089 3.7876630 -3.6454911 0.487663 2
+#> 6 1 -4.10 -2.55 1.9242531 -0.6416953 -2.1757469 -3.191695 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -37700 6225
+#> initial value 998.131940
+#> iter 2 value 843.455679
+#> iter 3 value 838.468736
+#> iter 4 value 835.658685
+#> iter 5 value 788.185609
+#> iter 6 value 777.539505
+#> iter 7 value 775.812061
+#> iter 8 value 775.770988
+#> iter 8 value 775.770978
+#> final value 775.770978
+#> converged
+#> This is Run number 23
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.1851123 2.12442795 -0.7351123 -11.0755720 1
+#> 2 1 -3.10 -5.40 1.1633453 -1.00339144 -1.9366547 -6.4033914 1
+#> 3 1 -14.60 -12.20 0.2517174 -0.06717963 -14.3482826 -12.2671796 2
+#> 4 1 -14.20 -0.55 1.6656914 1.16418985 -12.5343086 0.6141899 2
+#> 5 1 -5.40 -3.30 0.7368808 -0.36778735 -4.6631192 -3.6677873 2
+#> 6 1 -4.10 -2.55 3.5560307 1.87139922 -0.5439693 -0.6786008 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6520 -36200 7250
+#> initial value 998.131940
+#> iter 2 value 857.326565
+#> iter 3 value 854.218695
+#> iter 4 value 853.424959
+#> iter 5 value 799.192136
+#> iter 6 value 789.079422
+#> iter 7 value 787.455928
+#> iter 8 value 787.426717
+#> iter 9 value 787.426670
+#> iter 10 value 787.426643
+#> iter 11 value 787.426592
+#> iter 12 value 787.426558
+#> iter 12 value 787.426558
+#> iter 12 value 787.426558
+#> final value 787.426558
+#> converged
+#> This is Run number 24
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.1028852 -0.40175250 0.5528852 -13.6017525 1
+#> 2 1 -3.10 -5.40 0.1010775 -0.80254492 -2.9989225 -6.2025449 1
+#> 3 1 -14.60 -12.20 1.6710429 -0.63969226 -12.9289571 -12.8396923 2
+#> 4 1 -14.20 -0.55 0.3923208 0.04321433 -13.8076792 -0.5067857 2
+#> 5 1 -5.40 -3.30 -1.8015909 0.40920632 -7.2015909 -2.8907937 2
+#> 6 1 -4.10 -2.55 0.6377588 2.09116315 -3.4622412 -0.4588369 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7020 -37075 5550
+#> initial value 998.131940
+#> iter 2 value 855.369759
+#> iter 3 value 852.158857
+#> iter 4 value 850.223396
+#> iter 5 value 801.559165
+#> iter 6 value 791.157497
+#> iter 7 value 789.140580
+#> iter 8 value 789.084399
+#> iter 9 value 789.084257
+#> iter 10 value 789.084240
+#> iter 11 value 789.084211
+#> iter 12 value 789.084179
+#> iter 12 value 789.084179
+#> iter 12 value 789.084179
+#> final value 789.084179
+#> converged
+#> This is Run number 25
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.2016096 2.0915790 -0.3483904 -11.10842098 1
+#> 2 1 -3.10 -5.40 1.6181303 -0.2183448 -1.4818697 -5.61834483 1
+#> 3 1 -14.60 -12.20 0.5942565 -0.3904294 -14.0057435 -12.59042940 2
+#> 4 1 -14.20 -0.55 -0.2502198 0.5955215 -14.4502198 0.04552153 2
+#> 5 1 -5.40 -3.30 -0.9592553 0.8275175 -6.3592553 -2.47248247 2
+#> 6 1 -4.10 -2.55 1.5250736 2.4588837 -2.5749264 -0.09111634 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -35125 5675
+#> initial value 998.131940
+#> iter 2 value 879.376211
+#> iter 3 value 878.516697
+#> iter 4 value 877.882543
+#> iter 5 value 823.164834
+#> iter 6 value 813.713999
+#> iter 7 value 811.682071
+#> iter 8 value 811.631826
+#> iter 9 value 811.631668
+#> iter 10 value 811.631643
+#> iter 11 value 811.631596
+#> iter 12 value 811.631552
+#> iter 12 value 811.631552
+#> iter 12 value 811.631552
+#> final value 811.631552
+#> converged
+#> This is Run number 26
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.9780091 0.841295097 -1.528009 -12.358705 1
+#> 2 1 -3.10 -5.40 -0.7917333 -0.003626345 -3.891733 -5.403626 1
+#> 3 1 -14.60 -12.20 -1.0191406 1.264259285 -15.619141 -10.935741 2
+#> 4 1 -14.20 -0.55 1.1462230 -0.637701908 -13.053777 -1.187702 2
+#> 5 1 -5.40 -3.30 -0.3320388 -0.107109513 -5.732039 -3.407110 2
+#> 6 1 -4.10 -2.55 0.3063906 -0.083140267 -3.793609 -2.633140 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7160 -37025 6400
+#> initial value 998.131940
+#> iter 2 value 851.286052
+#> iter 3 value 848.298588
+#> iter 4 value 847.909854
+#> iter 5 value 797.491697
+#> iter 6 value 786.969108
+#> iter 7 value 785.213030
+#> iter 8 value 785.172513
+#> iter 9 value 785.172450
+#> iter 10 value 785.172422
+#> iter 11 value 785.172371
+#> iter 12 value 785.172329
+#> iter 12 value 785.172329
+#> iter 12 value 785.172329
+#> final value 785.172329
+#> converged
+#> This is Run number 27
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.57378316 0.48994614 -1.123783 -12.71005386 1
+#> 2 1 -3.10 -5.40 0.06764351 0.91904312 -3.032356 -4.48095688 1
+#> 3 1 -14.60 -12.20 0.03402399 -1.57107320 -14.565976 -13.77107320 2
+#> 4 1 -14.20 -0.55 1.13051606 0.26428112 -13.069484 -0.28571888 2
+#> 5 1 -5.40 -3.30 1.50562647 0.06397476 -3.894374 -3.23602524 2
+#> 6 1 -4.10 -2.55 -0.62960691 2.59190933 -4.729607 0.04190933 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -37100 5350
+#> initial value 998.131940
+#> iter 2 value 856.319949
+#> iter 3 value 851.369330
+#> iter 4 value 846.279053
+#> iter 5 value 799.255183
+#> iter 6 value 788.950911
+#> iter 7 value 786.904113
+#> iter 8 value 786.845369
+#> iter 9 value 786.845218
+#> iter 9 value 786.845212
+#> iter 9 value 786.845212
+#> final value 786.845212
+#> converged
+#> This is Run number 28
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.02871953 1.6896084 -0.5787195 -11.5103916 1
+#> 2 1 -3.10 -5.40 0.34195407 0.4020162 -2.7580459 -4.9979838 1
+#> 3 1 -14.60 -12.20 1.49695882 1.0179127 -13.1030412 -11.1820873 2
+#> 4 1 -14.20 -0.55 3.61156968 -0.2811987 -10.5884303 -0.8311987 2
+#> 5 1 -5.40 -3.30 2.35300115 3.1575593 -3.0469988 -0.1424407 2
+#> 6 1 -4.10 -2.55 2.01573259 0.7375350 -2.0842674 -1.8124650 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7040 -37750 5800
+#> initial value 998.131940
+#> iter 2 value 844.890248
+#> iter 3 value 840.628251
+#> iter 4 value 838.289830
+#> iter 5 value 791.457824
+#> iter 6 value 780.760415
+#> iter 7 value 778.908586
+#> iter 8 value 778.859363
+#> iter 9 value 778.859290
+#> iter 10 value 778.859278
+#> iter 11 value 778.859246
+#> iter 12 value 778.859210
+#> iter 12 value 778.859210
+#> iter 12 value 778.859210
+#> final value 778.859210
+#> converged
+#> This is Run number 29
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.0815741 2.5485167 -1.6315741 -10.6514833 1
+#> 2 1 -3.10 -5.40 2.1204126 3.0512005 -0.9795874 -2.3487995 1
+#> 3 1 -14.60 -12.20 1.3595612 -0.1133413 -13.2404388 -12.3133413 2
+#> 4 1 -14.20 -0.55 1.5056242 6.1388371 -12.6943758 5.5888371 2
+#> 5 1 -5.40 -3.30 -1.0710219 0.7489865 -6.4710219 -2.5510135 2
+#> 6 1 -4.10 -2.55 -0.6618376 1.6070881 -4.7618376 -0.9429119 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -35200 6050
+#> initial value 998.131940
+#> iter 2 value 876.764607
+#> iter 3 value 875.119595
+#> iter 4 value 873.514273
+#> iter 5 value 818.592312
+#> iter 6 value 809.056116
+#> iter 7 value 807.184957
+#> iter 8 value 807.142274
+#> iter 9 value 807.142175
+#> iter 10 value 807.142148
+#> iter 11 value 807.142100
+#> iter 12 value 807.142064
+#> iter 12 value 807.142064
+#> iter 12 value 807.142064
+#> final value 807.142064
+#> converged
+#> This is Run number 30
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.1761005 0.7041782 0.6261005 -12.495822 1
+#> 2 1 -3.10 -5.40 3.6892650 2.6210078 0.5892650 -2.778992 1
+#> 3 1 -14.60 -12.20 -0.3270635 -0.2283315 -14.9270635 -12.428331 2
+#> 4 1 -14.20 -0.55 1.0243556 2.1288107 -13.1756444 1.578811 2
+#> 5 1 -5.40 -3.30 1.2665419 0.9696446 -4.1334581 -2.330355 2
+#> 6 1 -4.10 -2.55 -0.5698317 -1.2119660 -4.6698317 -3.761966 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6260 -37100 7750
+#> initial value 998.131940
+#> iter 2 value 842.375680
+#> iter 3 value 836.456847
+#> iter 4 value 834.270061
+#> iter 5 value 782.314896
+#> iter 6 value 772.090541
+#> iter 7 value 770.520730
+#> iter 8 value 770.494031
+#> iter 9 value 770.493916
+#> iter 10 value 770.493871
+#> iter 11 value 770.493840
+#> iter 11 value 770.493832
+#> iter 11 value 770.493832
+#> final value 770.493832
+#> converged
+#> This is Run number 31
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.2438523 0.18476167 -0.3061477 -13.015238 1
+#> 2 1 -3.10 -5.40 -0.4294206 1.13176764 -3.5294206 -4.268232 1
+#> 3 1 -14.60 -12.20 -0.1782107 1.12148934 -14.7782107 -11.078511 2
+#> 4 1 -14.20 -0.55 -0.1298008 2.45862916 -14.3298008 1.908629 2
+#> 5 1 -5.40 -3.30 1.9006468 -1.26230712 -3.4993532 -4.562307 1
+#> 6 1 -4.10 -2.55 1.0552392 -0.04266944 -3.0447608 -2.592669 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7140 -36350 7225
+#> initial value 998.131940
+#> iter 2 value 855.035748
+#> iter 3 value 852.297027
+#> iter 4 value 852.287530
+#> iter 5 value 797.931585
+#> iter 6 value 788.373247
+#> iter 7 value 787.023050
+#> iter 8 value 787.005493
+#> iter 9 value 787.005427
+#> iter 10 value 787.005390
+#> iter 11 value 787.005335
+#> iter 12 value 787.005309
+#> iter 12 value 787.005309
+#> iter 12 value 787.005309
+#> final value 787.005309
+#> converged
+#> This is Run number 32
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.8037927 -1.253516838 0.2537927 -14.453517 1
+#> 2 1 -3.10 -5.40 0.9352684 -0.884203752 -2.1647316 -6.284204 1
+#> 3 1 -14.60 -12.20 0.2690616 -1.395348476 -14.3309384 -13.595348 2
+#> 4 1 -14.20 -0.55 0.8509543 -0.684905491 -13.3490457 -1.234905 2
+#> 5 1 -5.40 -3.30 2.6400784 0.586606358 -2.7599216 -2.713394 2
+#> 6 1 -4.10 -2.55 3.2934225 0.007551378 -0.8065775 -2.542449 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6120 -34825 6000
+#> initial value 998.131940
+#> iter 2 value 881.540029
+#> iter 3 value 879.631843
+#> iter 4 value 876.971482
+#> iter 5 value 821.486135
+#> iter 6 value 812.189833
+#> iter 7 value 810.344482
+#> iter 8 value 810.304011
+#> iter 9 value 810.303926
+#> iter 10 value 810.303897
+#> iter 11 value 810.303854
+#> iter 12 value 810.303830
+#> iter 12 value 810.303830
+#> iter 12 value 810.303830
+#> final value 810.303830
+#> converged
+#> This is Run number 33
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.7910883 0.6583296 -1.341088 -12.541670 1
+#> 2 1 -3.10 -5.40 -1.2980438 2.0007552 -4.398044 -3.399245 2
+#> 3 1 -14.60 -12.20 0.2346143 -1.3645944 -14.365386 -13.564594 2
+#> 4 1 -14.20 -0.55 0.6166877 2.2742823 -13.583312 1.724282 2
+#> 5 1 -5.40 -3.30 -0.4732141 0.6414012 -5.873214 -2.658599 2
+#> 6 1 -4.10 -2.55 -0.1478530 -0.2795808 -4.247853 -2.829581 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -35975 6850
+#> initial value 998.131940
+#> iter 2 value 862.791964
+#> iter 3 value 859.443090
+#> iter 4 value 857.227500
+#> iter 5 value 803.291850
+#> iter 6 value 793.347989
+#> iter 7 value 791.666575
+#> iter 8 value 791.633237
+#> iter 9 value 791.633212
+#> iter 10 value 791.633193
+#> iter 11 value 791.633137
+#> iter 12 value 791.633087
+#> iter 12 value 791.633087
+#> iter 12 value 791.633087
+#> final value 791.633087
+#> converged
+#> This is Run number 34
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.9155134 0.8590109 2.365513 -12.340989 1
+#> 2 1 -3.10 -5.40 -0.1582469 -0.7946782 -3.258247 -6.194678 1
+#> 3 1 -14.60 -12.20 0.1085565 0.4978171 -14.491443 -11.702183 2
+#> 4 1 -14.20 -0.55 -0.6297086 2.2563965 -14.829709 1.706397 2
+#> 5 1 -5.40 -3.30 1.2242334 0.6975717 -4.175767 -2.602428 2
+#> 6 1 -4.10 -2.55 2.1796121 1.1285298 -1.920388 -1.421470 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6680 -35025 6325
+#> initial value 998.131940
+#> iter 2 value 877.143999
+#> iter 3 value 876.335647
+#> iter 4 value 875.977975
+#> iter 5 value 819.922496
+#> iter 6 value 810.385148
+#> iter 7 value 808.565600
+#> iter 8 value 808.525264
+#> iter 9 value 808.525163
+#> iter 10 value 808.525128
+#> iter 11 value 808.525077
+#> iter 12 value 808.525039
+#> iter 12 value 808.525039
+#> iter 12 value 808.525039
+#> final value 808.525039
+#> converged
+#> This is Run number 35
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.0618697 -0.2888840 2.511870 -13.48888404 1
+#> 2 1 -3.10 -5.40 1.3374503 3.7474568 -1.762550 -1.65254316 2
+#> 3 1 -14.60 -12.20 4.1863313 -0.3793027 -10.413669 -12.57930274 1
+#> 4 1 -14.20 -0.55 -0.4995222 0.4882928 -14.699522 -0.06170717 2
+#> 5 1 -5.40 -3.30 1.3373114 0.2094678 -4.062689 -3.09053218 2
+#> 6 1 -4.10 -2.55 3.4902420 -0.8667621 -0.609758 -3.41676212 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -34675 6500
+#> initial value 998.131940
+#> iter 2 value 880.393541
+#> iter 3 value 879.685418
+#> iter 4 value 878.951580
+#> iter 5 value 821.673131
+#> iter 6 value 812.324977
+#> iter 7 value 810.575187
+#> iter 8 value 810.539071
+#> iter 9 value 810.538991
+#> iter 10 value 810.538958
+#> iter 11 value 810.538905
+#> iter 12 value 810.538869
+#> iter 12 value 810.538869
+#> iter 12 value 810.538869
+#> final value 810.538869
+#> converged
+#> This is Run number 36
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.8711150 4.3417512 -1.421115 -8.858249 1
+#> 2 1 -3.10 -5.40 -0.4820179 0.7993986 -3.582018 -4.600601 1
+#> 3 1 -14.60 -12.20 -0.1290721 1.4134096 -14.729072 -10.786590 2
+#> 4 1 -14.20 -0.55 -0.2502163 -1.3961456 -14.450216 -1.946146 2
+#> 5 1 -5.40 -3.30 0.7440296 -0.7031899 -4.655970 -4.003190 2
+#> 6 1 -4.10 -2.55 -0.3338736 -0.0954286 -4.433874 -2.645429 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -36325 6975
+#> initial value 998.131940
+#> iter 2 value 857.529775
+#> iter 3 value 854.007269
+#> iter 4 value 852.397119
+#> iter 5 value 799.134658
+#> iter 6 value 789.010538
+#> iter 7 value 787.351198
+#> iter 8 value 787.318949
+#> iter 9 value 787.318898
+#> iter 10 value 787.318878
+#> iter 11 value 787.318841
+#> iter 12 value 787.318795
+#> iter 12 value 787.318795
+#> iter 12 value 787.318795
+#> final value 787.318795
+#> converged
+#> This is Run number 37
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.44194458 3.04977080 2.891945 -10.150229 1
+#> 2 1 -3.10 -5.40 -0.05867224 -0.02637799 -3.158672 -5.426378 1
+#> 3 1 -14.60 -12.20 1.32198780 -0.21497665 -13.278012 -12.414977 2
+#> 4 1 -14.20 -0.55 0.76769024 1.71260750 -13.432310 1.162608 2
+#> 5 1 -5.40 -3.30 -1.36621538 -0.67287046 -6.766215 -3.972870 2
+#> 6 1 -4.10 -2.55 1.15238164 1.00978923 -2.947618 -1.540211 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6960 -35750 5750
+#> initial value 998.131940
+#> iter 2 value 871.335724
+#> iter 3 value 869.935185
+#> iter 4 value 869.353913
+#> iter 5 value 816.198433
+#> iter 6 value 806.385880
+#> iter 7 value 804.363888
+#> iter 8 value 804.312014
+#> iter 9 value 804.311858
+#> iter 10 value 804.311838
+#> iter 11 value 804.311793
+#> iter 12 value 804.311744
+#> iter 12 value 804.311744
+#> iter 12 value 804.311744
+#> final value 804.311744
+#> converged
+#> This is Run number 38
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.48747983 -0.3561501 -2.037480 -13.556150 1
+#> 2 1 -3.10 -5.40 -0.08109352 1.4390424 -3.181094 -3.960958 1
+#> 3 1 -14.60 -12.20 0.23939822 0.4258075 -14.360602 -11.774193 2
+#> 4 1 -14.20 -0.55 -0.76195443 1.6610349 -14.961954 1.111035 2
+#> 5 1 -5.40 -3.30 0.97056866 1.0708088 -4.429431 -2.229191 2
+#> 6 1 -4.10 -2.55 0.21458828 0.5043978 -3.885412 -2.045602 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -33575 5600
+#> initial value 998.131940
+#> iter 2 value 897.063583
+#> iter 3 value 887.136399
+#> iter 4 value 887.134608
+#> iter 5 value 832.713079
+#> iter 6 value 829.366513
+#> iter 7 value 829.072332
+#> iter 8 value 829.069095
+#> iter 9 value 829.069081
+#> iter 9 value 829.069072
+#> iter 9 value 829.069072
+#> final value 829.069072
+#> converged
+#> This is Run number 39
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.1288270 2.123097 0.578827 -11.07690298 1
+#> 2 1 -3.10 -5.40 -0.3590513 3.940038 -3.459051 -1.45996202 2
+#> 3 1 -14.60 -12.20 1.1853197 -1.194410 -13.414680 -13.39441048 2
+#> 4 1 -14.20 -0.55 1.0059849 -1.130828 -13.194015 -1.68082758 2
+#> 5 1 -5.40 -3.30 -1.0397888 3.288205 -6.439789 -0.01179513 2
+#> 6 1 -4.10 -2.55 1.3144319 2.043665 -2.785568 -0.50633482 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7340 -36525 5625
+#> initial value 998.131940
+#> iter 2 value 861.836748
+#> iter 3 value 860.033088
+#> iter 4 value 859.751793
+#> iter 5 value 808.961541
+#> iter 6 value 798.768162
+#> iter 7 value 796.696260
+#> iter 8 value 796.638826
+#> iter 9 value 796.638642
+#> iter 9 value 796.638631
+#> iter 9 value 796.638631
+#> final value 796.638631
+#> converged
+#> This is Run number 40
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.0602308 -0.04286488 1.510231 -13.242865 1
+#> 2 1 -3.10 -5.40 -0.7350309 -0.57858643 -3.835031 -5.978586 1
+#> 3 1 -14.60 -12.20 0.8259237 -0.61664390 -13.774076 -12.816644 2
+#> 4 1 -14.20 -0.55 0.1763125 -0.64580687 -14.023688 -1.195807 2
+#> 5 1 -5.40 -3.30 -0.1383749 -0.54246787 -5.538375 -3.842468 2
+#> 6 1 -4.10 -2.55 -1.2590609 1.41281785 -5.359061 -1.137182 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5660 -34725 6500
+#> initial value 998.131940
+#> iter 2 value 879.939139
+#> iter 3 value 876.938940
+#> iter 4 value 872.570489
+#> iter 5 value 816.522535
+#> iter 6 value 807.273387
+#> iter 7 value 805.573748
+#> iter 8 value 805.540527
+#> iter 9 value 805.540483
+#> iter 10 value 805.540465
+#> iter 11 value 805.540426
+#> iter 12 value 805.540399
+#> iter 12 value 805.540399
+#> iter 12 value 805.540399
+#> final value 805.540399
+#> converged
+#> This is Run number 41
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.5971686 -0.0900051 -1.147169 -13.2900051 1
+#> 2 1 -3.10 -5.40 0.8435273 0.2443101 -2.256473 -5.1556899 1
+#> 3 1 -14.60 -12.20 -0.2806119 1.4277655 -14.880612 -10.7722345 2
+#> 4 1 -14.20 -0.55 -0.4497592 0.9993572 -14.649759 0.4493572 2
+#> 5 1 -5.40 -3.30 -1.2637693 1.0777000 -6.663769 -2.2223000 2
+#> 6 1 -4.10 -2.55 1.7881045 1.3910188 -2.311896 -1.1589812 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -35850 6725
+#> initial value 998.131940
+#> iter 2 value 864.743688
+#> iter 3 value 862.887441
+#> iter 4 value 862.665327
+#> iter 5 value 808.268533
+#> iter 6 value 798.255520
+#> iter 7 value 796.535853
+#> iter 8 value 796.499965
+#> iter 9 value 796.499899
+#> iter 10 value 796.499871
+#> iter 11 value 796.499820
+#> iter 12 value 796.499779
+#> iter 12 value 796.499779
+#> iter 12 value 796.499779
+#> final value 796.499779
+#> converged
+#> This is Run number 42
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.5786297 0.9502352 0.02862967 -12.2497648 1
+#> 2 1 -3.10 -5.40 1.5831812 0.8693745 -1.51681880 -4.5306255 1
+#> 3 1 -14.60 -12.20 3.8805490 1.5633660 -10.71945104 -10.6366340 2
+#> 4 1 -14.20 -0.55 0.4784841 1.2811602 -13.72151592 0.7311602 2
+#> 5 1 -5.40 -3.30 0.2023230 -0.1746245 -5.19767698 -3.4746245 2
+#> 6 1 -4.10 -2.55 -0.4773904 1.7613269 -4.57739036 -0.7886731 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5200 -35850 6925
+#> initial value 998.131940
+#> iter 2 value 863.711103
+#> iter 3 value 855.620223
+#> iter 4 value 845.516666
+#> iter 5 value 794.218855
+#> iter 6 value 784.560768
+#> iter 7 value 782.915906
+#> iter 8 value 782.883024
+#> iter 9 value 782.883010
+#> iter 9 value 782.883003
+#> iter 9 value 782.882999
+#> final value 782.882999
+#> converged
+#> This is Run number 43
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.2903718 -0.01899182 -0.2596282 -13.218992 1
+#> 2 1 -3.10 -5.40 1.2847837 0.29257514 -1.8152163 -5.107425 1
+#> 3 1 -14.60 -12.20 0.1202789 0.25972464 -14.4797211 -11.940275 2
+#> 4 1 -14.20 -0.55 0.6586039 0.81701003 -13.5413961 0.267010 2
+#> 5 1 -5.40 -3.30 -0.3467488 0.51700360 -5.7467488 -2.782996 2
+#> 6 1 -4.10 -2.55 -1.2006524 0.21509695 -5.3006524 -2.334903 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7360 -36625 6600
+#> initial value 998.131940
+#> iter 2 value 855.113026
+#> iter 3 value 852.644027
+#> iter 4 value 852.642868
+#> iter 5 value 819.237401
+#> iter 6 value 795.742695
+#> iter 7 value 789.324616
+#> iter 8 value 788.816495
+#> iter 9 value 788.809893
+#> iter 10 value 788.809409
+#> iter 10 value 788.809407
+#> iter 11 value 788.809252
+#> iter 12 value 788.809213
+#> iter 12 value 788.809212
+#> iter 12 value 788.809207
+#> final value 788.809207
+#> converged
+#> This is Run number 44
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.2375763 1.3362224 1.6875763 -11.8637776 1
+#> 2 1 -3.10 -5.40 2.3992194 2.8040849 -0.7007806 -2.5959151 1
+#> 3 1 -14.60 -12.20 0.5918640 0.2361572 -14.0081360 -11.9638428 2
+#> 4 1 -14.20 -0.55 -0.9069951 -1.2991577 -15.1069951 -1.8491577 2
+#> 5 1 -5.40 -3.30 -0.4112167 -0.3071463 -5.8112167 -3.6071463 2
+#> 6 1 -4.10 -2.55 -0.5922469 2.2823608 -4.6922469 -0.2676392 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6660 -35500 5875
+#> initial value 998.131940
+#> iter 2 value 873.967290
+#> iter 3 value 872.361213
+#> iter 4 value 871.168556
+#> iter 5 value 817.243993
+#> iter 6 value 807.560423
+#> iter 7 value 805.611581
+#> iter 8 value 805.564298
+#> iter 9 value 805.564174
+#> iter 10 value 805.564148
+#> iter 11 value 805.564102
+#> iter 12 value 805.564063
+#> iter 12 value 805.564063
+#> iter 12 value 805.564063
+#> final value 805.564063
+#> converged
+#> This is Run number 45
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.44042163 -0.13406200 1.890422 -13.3340620 1
+#> 2 1 -3.10 -5.40 1.65572743 1.18148744 -1.444273 -4.2185126 1
+#> 3 1 -14.60 -12.20 1.61769692 2.55863551 -12.982303 -9.6413645 2
+#> 4 1 -14.20 -0.55 -0.49397490 0.39271394 -14.693975 -0.1572861 2
+#> 5 1 -5.40 -3.30 1.79973408 -0.02646449 -3.600266 -3.3264645 2
+#> 6 1 -4.10 -2.55 -0.05053943 -0.55346720 -4.150539 -3.1034672 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5920 -37250 6550
+#> initial value 998.131940
+#> iter 2 value 848.014700
+#> iter 3 value 840.013990
+#> iter 4 value 832.053518
+#> iter 5 value 784.690326
+#> iter 6 value 774.421756
+#> iter 7 value 772.759254
+#> iter 8 value 772.721783
+#> iter 9 value 772.721762
+#> iter 10 value 772.721745
+#> iter 10 value 772.721744
+#> iter 10 value 772.721736
+#> final value 772.721736
+#> converged
+#> This is Run number 46
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.2737670 0.5499266 -0.276233 -12.6500734 1
+#> 2 1 -3.10 -5.40 -1.0484543 -0.2121670 -4.148454 -5.6121670 1
+#> 3 1 -14.60 -12.20 1.6365239 0.6632613 -12.963476 -11.5367387 2
+#> 4 1 -14.20 -0.55 -1.1759768 1.3965002 -15.375977 0.8465002 2
+#> 5 1 -5.40 -3.30 0.5231508 0.2075821 -4.876849 -3.0924179 2
+#> 6 1 -4.10 -2.55 0.1164578 -0.5671421 -3.983542 -3.1171421 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7360 -37300 5425
+#> initial value 998.131940
+#> iter 2 value 852.626409
+#> iter 3 value 849.935070
+#> iter 4 value 848.984754
+#> iter 5 value 800.889632
+#> iter 6 value 790.375687
+#> iter 7 value 788.293627
+#> iter 8 value 788.232684
+#> iter 9 value 788.232503
+#> iter 10 value 788.232489
+#> iter 11 value 788.232460
+#> iter 12 value 788.232420
+#> iter 12 value 788.232420
+#> iter 12 value 788.232420
+#> final value 788.232420
+#> converged
+#> This is Run number 47
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.6300780 1.56966357 0.08007803 -11.6303364 1
+#> 2 1 -3.10 -5.40 -0.1913320 0.23919605 -3.29133200 -5.1608040 1
+#> 3 1 -14.60 -12.20 4.2020514 -0.04677445 -10.39794864 -12.2467744 1
+#> 4 1 -14.20 -0.55 0.1323049 -0.02702305 -14.06769507 -0.5770231 2
+#> 5 1 -5.40 -3.30 0.8463657 -0.43920171 -4.55363433 -3.7392017 2
+#> 6 1 -4.10 -2.55 1.0126725 -1.07252224 -3.08732749 -3.6225222 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7260 -37000 5925
+#> initial value 998.131940
+#> iter 2 value 854.158836
+#> iter 3 value 851.567206
+#> iter 4 value 851.059739
+#> iter 5 value 801.261349
+#> iter 6 value 790.787372
+#> iter 7 value 788.877314
+#> iter 8 value 788.827321
+#> iter 9 value 788.827207
+#> iter 9 value 788.827201
+#> iter 9 value 788.827201
+#> final value 788.827201
+#> converged
+#> This is Run number 48
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.2539028 0.06772222 -0.8039028 -13.132278 1
+#> 2 1 -3.10 -5.40 -0.5961863 0.48816791 -3.6961863 -4.911832 1
+#> 3 1 -14.60 -12.20 0.7160626 0.51346851 -13.8839374 -11.686531 2
+#> 4 1 -14.20 -0.55 -1.4157417 -0.99311614 -15.6157417 -1.543116 2
+#> 5 1 -5.40 -3.30 -0.9984778 0.27636498 -6.3984778 -3.023635 2
+#> 6 1 -4.10 -2.55 -0.4248569 0.81217026 -4.5248569 -1.737830 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7180 -36925 5375
+#> initial value 998.131940
+#> iter 2 value 858.072758
+#> iter 3 value 855.494011
+#> iter 4 value 854.184873
+#> iter 5 value 805.132719
+#> iter 6 value 794.819313
+#> iter 7 value 792.695070
+#> iter 8 value 792.633642
+#> iter 9 value 792.633451
+#> iter 10 value 792.633436
+#> iter 11 value 792.633407
+#> iter 12 value 792.633370
+#> iter 12 value 792.633370
+#> iter 12 value 792.633370
+#> final value 792.633370
+#> converged
+#> This is Run number 49
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 4.3889999 -0.22298296 3.8389999 -13.422983 1
+#> 2 1 -3.10 -5.40 2.7390048 -0.74260982 -0.3609952 -6.142610 1
+#> 3 1 -14.60 -12.20 1.4892839 0.10449874 -13.1107161 -12.095501 2
+#> 4 1 -14.20 -0.55 4.4172220 -0.76497796 -9.7827780 -1.314978 2
+#> 5 1 -5.40 -3.30 0.8313674 0.56727496 -4.5686326 -2.732725 2
+#> 6 1 -4.10 -2.55 -1.1003850 0.08046487 -5.2003850 -2.469535 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6880 -37275 6225
+#> initial value 998.131940
+#> iter 2 value 849.203593
+#> iter 3 value 845.270743
+#> iter 4 value 843.495642
+#> iter 5 value 794.364982
+#> iter 6 value 783.825540
+#> iter 7 value 782.053933
+#> iter 8 value 782.011697
+#> iter 9 value 782.011645
+#> iter 10 value 782.011620
+#> iter 11 value 782.011574
+#> iter 12 value 782.011540
+#> iter 12 value 782.011540
+#> iter 12 value 782.011540
+#> final value 782.011540
+#> converged
+#> This is Run number 50
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.6848857 -0.71710307 0.1348857 -13.91710307 1
+#> 2 1 -3.10 -5.40 1.6522845 0.01985095 -1.4477155 -5.38014905 1
+#> 3 1 -14.60 -12.20 1.5942695 -0.70054723 -13.0057305 -12.90054723 2
+#> 4 1 -14.20 -0.55 -0.2749450 0.61301487 -14.4749450 0.06301487 2
+#> 5 1 -5.40 -3.30 -1.1179694 1.64046619 -6.5179694 -1.65953381 2
+#> 6 1 -4.10 -2.55 2.3153471 -1.12760421 -1.7846529 -3.67760421 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7100 -38475 5775
+#> initial value 998.131940
+#> iter 2 value 834.707319
+#> iter 3 value 829.327361
+#> iter 4 value 826.121382
+#> iter 5 value 781.935358
+#> iter 6 value 771.032585
+#> iter 7 value 769.269291
+#> iter 8 value 769.222283
+#> iter 9 value 769.222245
+#> iter 10 value 769.222230
+#> iter 11 value 769.222202
+#> iter 12 value 769.222177
+#> iter 12 value 769.222177
+#> iter 12 value 769.222177
+#> final value 769.222177
+#> converged
+#> This is Run number 51
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.57689198 6.2459850 3.026892 -6.95401501 1
+#> 2 1 -3.10 -5.40 -0.03573173 1.8230600 -3.135732 -3.57693998 1
+#> 3 1 -14.60 -12.20 -0.29760448 -0.2663611 -14.897604 -12.46636111 2
+#> 4 1 -14.20 -0.55 -0.03108330 0.5954091 -14.231083 0.04540907 2
+#> 5 1 -5.40 -3.30 -0.83128064 0.1282684 -6.231281 -3.17173155 2
+#> 6 1 -4.10 -2.55 1.76226649 1.4020213 -2.337734 -1.14797875 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -35075 6200
+#> initial value 998.131940
+#> iter 2 value 877.400258
+#> iter 3 value 876.117809
+#> iter 4 value 874.993758
+#> iter 5 value 819.360260
+#> iter 6 value 809.852678
+#> iter 7 value 808.017948
+#> iter 8 value 807.977143
+#> iter 9 value 807.977049
+#> iter 10 value 807.977029
+#> iter 11 value 807.976977
+#> iter 12 value 807.976930
+#> iter 12 value 807.976930
+#> iter 12 value 807.976930
+#> final value 807.976930
+#> converged
+#> This is Run number 52
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.4154121 -0.9393118 -0.9654121 -14.1393118 1
+#> 2 1 -3.10 -5.40 -1.0435682 -0.3345817 -4.1435682 -5.7345817 1
+#> 3 1 -14.60 -12.20 -0.0839636 3.2662338 -14.6839636 -8.9337662 2
+#> 4 1 -14.20 -0.55 -0.7104044 1.5267000 -14.9104044 0.9767000 2
+#> 5 1 -5.40 -3.30 1.2597101 -0.8465731 -4.1402899 -4.1465731 1
+#> 6 1 -4.10 -2.55 0.4533354 2.4415905 -3.6466646 -0.1084095 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -35150 6175
+#> initial value 998.131940
+#> iter 2 value 876.748170
+#> iter 3 value 874.745235
+#> iter 4 value 872.551730
+#> iter 5 value 817.455390
+#> iter 6 value 807.948841
+#> iter 7 value 806.128040
+#> iter 8 value 806.088021
+#> iter 9 value 806.087940
+#> iter 10 value 806.087914
+#> iter 11 value 806.087866
+#> iter 12 value 806.087834
+#> iter 12 value 806.087834
+#> iter 12 value 806.087834
+#> final value 806.087834
+#> converged
+#> This is Run number 53
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.3641055 -0.12455895 -0.1858945 -13.3245590 1
+#> 2 1 -3.10 -5.40 0.8611351 0.04788928 -2.2388649 -5.3521107 1
+#> 3 1 -14.60 -12.20 2.4188890 2.34135071 -12.1811110 -9.8586493 2
+#> 4 1 -14.20 -0.55 0.2661438 0.39920648 -13.9338562 -0.1507935 2
+#> 5 1 -5.40 -3.30 -0.7013659 -1.17018169 -6.1013659 -4.4701817 2
+#> 6 1 -4.10 -2.55 -0.4575937 -0.11791132 -4.5575937 -2.6679113 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7360 -36975 5050
+#> initial value 998.131940
+#> iter 2 value 858.766285
+#> iter 3 value 856.505303
+#> iter 4 value 855.406027
+#> iter 5 value 806.908035
+#> iter 6 value 796.656528
+#> iter 7 value 794.357745
+#> iter 8 value 794.286839
+#> iter 9 value 794.286568
+#> iter 9 value 794.286559
+#> iter 9 value 794.286559
+#> final value 794.286559
+#> converged
+#> This is Run number 54
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 5.8288162 1.10939934 5.278816 -12.0906007 1
+#> 2 1 -3.10 -5.40 0.8919155 1.35745723 -2.208084 -4.0425428 1
+#> 3 1 -14.60 -12.20 0.5531039 -0.14536215 -14.046896 -12.3453621 2
+#> 4 1 -14.20 -0.55 -0.6094792 0.66251262 -14.809479 0.1125126 2
+#> 5 1 -5.40 -3.30 2.3909652 1.07593305 -3.009035 -2.2240670 2
+#> 6 1 -4.10 -2.55 0.9300900 -0.05004199 -3.169910 -2.6000420 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7000 -37000 6650
+#> initial value 998.131940
+#> iter 2 value 850.310502
+#> iter 3 value 846.975834
+#> iter 4 value 846.414691
+#> iter 5 value 795.552068
+#> iter 6 value 785.057484
+#> iter 7 value 783.361517
+#> iter 8 value 783.325248
+#> iter 9 value 783.325192
+#> iter 10 value 783.325146
+#> iter 11 value 783.325119
+#> iter 12 value 783.325075
+#> iter 12 value 783.325075
+#> iter 12 value 783.325075
+#> final value 783.325075
+#> converged
+#> This is Run number 55
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.7125633 -0.5978205 -2.262563 -13.7978205 1
+#> 2 1 -3.10 -5.40 1.9987461 -0.1016176 -1.101254 -5.5016176 1
+#> 3 1 -14.60 -12.20 2.3013537 -1.0250485 -12.298646 -13.2250485 1
+#> 4 1 -14.20 -0.55 0.8753168 0.2105602 -13.324683 -0.3394398 2
+#> 5 1 -5.40 -3.30 -0.1944710 -1.0464553 -5.594471 -4.3464553 2
+#> 6 1 -4.10 -2.55 2.3245014 3.8866693 -1.775499 1.3366693 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7160 -35925 5275
+#> initial value 998.131940
+#> iter 2 value 871.356504
+#> iter 3 value 870.026344
+#> iter 4 value 869.430263
+#> iter 5 value 817.472846
+#> iter 6 value 807.695637
+#> iter 7 value 805.459436
+#> iter 8 value 805.396891
+#> iter 9 value 805.396660
+#> iter 10 value 805.396643
+#> iter 11 value 805.396608
+#> iter 12 value 805.396561
+#> iter 12 value 805.396561
+#> iter 12 value 805.396561
+#> final value 805.396561
+#> converged
+#> This is Run number 56
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.1664080 0.4530496 -0.3835920 -12.7469504 1
+#> 2 1 -3.10 -5.40 3.7673337 1.6311263 0.6673337 -3.7688737 1
+#> 3 1 -14.60 -12.20 -0.5232585 -0.3995885 -15.1232585 -12.5995885 2
+#> 4 1 -14.20 -0.55 -0.6599525 1.0199003 -14.8599525 0.4699003 2
+#> 5 1 -5.40 -3.30 -0.9773258 3.1994619 -6.3773258 -0.1005381 2
+#> 6 1 -4.10 -2.55 1.0627373 0.2833656 -3.0372627 -2.2666344 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6900 -36400 5600
+#> initial value 998.131940
+#> iter 2 value 864.024170
+#> iter 3 value 861.553426
+#> iter 4 value 859.985296
+#> iter 5 value 809.133649
+#> iter 6 value 799.041254
+#> iter 7 value 797.000537
+#> iter 8 value 796.945799
+#> iter 9 value 796.945648
+#> iter 10 value 796.945627
+#> iter 11 value 796.945592
+#> iter 12 value 796.945558
+#> iter 12 value 796.945558
+#> iter 12 value 796.945558
+#> final value 796.945558
+#> converged
+#> This is Run number 57
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.87461357 0.4559739 0.3246136 -12.7440261 1
+#> 2 1 -3.10 -5.40 1.27989564 1.0181819 -1.8201044 -4.3818181 1
+#> 3 1 -14.60 -12.20 1.73271499 -0.2148022 -12.8672850 -12.4148022 2
+#> 4 1 -14.20 -0.55 0.20883433 0.3358096 -13.9911657 -0.2141904 2
+#> 5 1 -5.40 -3.30 3.29456437 1.7528611 -2.1054356 -1.5471389 2
+#> 6 1 -4.10 -2.55 0.04918419 -0.9003145 -4.0508158 -3.4503145 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6900 -35200 6225
+#> initial value 998.131940
+#> iter 2 value 875.455855
+#> iter 3 value 874.643664
+#> iter 4 value 874.516223
+#> iter 5 value 819.116137
+#> iter 6 value 809.509320
+#> iter 7 value 807.655408
+#> iter 8 value 807.612717
+#> iter 9 value 807.612601
+#> iter 10 value 807.612565
+#> iter 11 value 807.612517
+#> iter 12 value 807.612478
+#> iter 12 value 807.612478
+#> iter 12 value 807.612478
+#> final value 807.612478
+#> converged
+#> This is Run number 58
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.15926646 0.6281227 0.6092665 -12.5718773 1
+#> 2 1 -3.10 -5.40 0.07699589 0.2286272 -3.0230041 -5.1713728 1
+#> 3 1 -14.60 -12.20 2.01313884 -0.3366699 -12.5868612 -12.5366699 2
+#> 4 1 -14.20 -0.55 0.91913810 -0.2840501 -13.2808619 -0.8340501 2
+#> 5 1 -5.40 -3.30 -0.04272691 0.5890152 -5.4427269 -2.7109848 2
+#> 6 1 -4.10 -2.55 0.42215462 0.1747527 -3.6778454 -2.3752473 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7000 -36000 5175
+#> initial value 998.131940
+#> iter 2 value 871.064688
+#> iter 3 value 869.299270
+#> iter 4 value 867.996016
+#> iter 5 value 816.578208
+#> iter 6 value 806.797234
+#> iter 7 value 804.545625
+#> iter 8 value 804.482354
+#> iter 9 value 804.482128
+#> iter 10 value 804.482113
+#> iter 11 value 804.482084
+#> iter 12 value 804.482046
+#> iter 12 value 804.482046
+#> iter 12 value 804.482046
+#> final value 804.482046
+#> converged
+#> This is Run number 59
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 4.1462113 4.23903553 3.596211 -8.9609645 1
+#> 2 1 -3.10 -5.40 1.7416780 -0.41273359 -1.358322 -5.8127336 1
+#> 3 1 -14.60 -12.20 1.0393375 0.64389394 -13.560663 -11.5561061 2
+#> 4 1 -14.20 -0.55 -0.5483619 0.11878525 -14.748362 -0.4312148 2
+#> 5 1 -5.40 -3.30 0.3761423 -0.39769563 -5.023858 -3.6976956 2
+#> 6 1 -4.10 -2.55 0.9891929 -0.07118942 -3.110807 -2.6211894 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -35150 4975
+#> initial value 998.131940
+#> iter 2 value 882.688804
+#> iter 3 value 880.307277
+#> iter 4 value 876.895968
+#> iter 5 value 824.348310
+#> iter 6 value 815.098853
+#> iter 7 value 812.851323
+#> iter 8 value 812.792574
+#> iter 9 value 812.792383
+#> iter 9 value 812.792378
+#> iter 9 value 812.792378
+#> final value 812.792378
+#> converged
+#> This is Run number 60
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.20595812 -0.8429036 0.6559581 -14.042904 1
+#> 2 1 -3.10 -5.40 -0.43248878 0.8501238 -3.5324888 -4.549876 1
+#> 3 1 -14.60 -12.20 2.74286261 0.1811496 -11.8571374 -12.018850 1
+#> 4 1 -14.20 -0.55 0.90853949 0.3793970 -13.2914605 -0.170603 2
+#> 5 1 -5.40 -3.30 -0.03072660 0.1016667 -5.4307266 -3.198333 2
+#> 6 1 -4.10 -2.55 -0.09063984 -1.0531822 -4.1906398 -3.603182 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7640 -38500 5800
+#> initial value 998.131940
+#> iter 2 value 833.584716
+#> iter 3 value 829.690277
+#> iter 4 value 829.021469
+#> iter 5 value 784.113162
+#> iter 6 value 773.072376
+#> iter 7 value 771.289213
+#> iter 8 value 771.241556
+#> iter 9 value 771.241497
+#> iter 10 value 771.241474
+#> iter 11 value 771.241435
+#> iter 12 value 771.241398
+#> iter 12 value 771.241398
+#> iter 12 value 771.241398
+#> final value 771.241398
+#> converged
+#> This is Run number 61
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.5419113 0.11439873 -0.0080887 -13.085601 1
+#> 2 1 -3.10 -5.40 1.0956233 2.49124902 -2.0043767 -2.908751 1
+#> 3 1 -14.60 -12.20 1.4977985 -1.24502531 -13.1022015 -13.445025 1
+#> 4 1 -14.20 -0.55 0.6427194 2.05607883 -13.5572806 1.506079 2
+#> 5 1 -5.40 -3.30 0.4762617 -0.09217469 -4.9237383 -3.392175 2
+#> 6 1 -4.10 -2.55 1.5894364 -0.37330100 -2.5105636 -2.923301 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6760 -37100 6725
+#> initial value 998.131940
+#> iter 2 value 848.730091
+#> iter 3 value 844.678835
+#> iter 4 value 843.304543
+#> iter 5 value 792.761646
+#> iter 6 value 782.295202
+#> iter 7 value 780.622544
+#> iter 8 value 780.587632
+#> iter 9 value 780.587588
+#> iter 10 value 780.587571
+#> iter 11 value 780.587513
+#> iter 12 value 780.587472
+#> iter 12 value 780.587472
+#> iter 12 value 780.587472
+#> final value 780.587472
+#> converged
+#> This is Run number 62
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.9139384 -2.15732736 2.363938 -15.3573274 1
+#> 2 1 -3.10 -5.40 0.8526767 -0.88428581 -2.247323 -6.2842858 1
+#> 3 1 -14.60 -12.20 1.4023388 -0.70876568 -13.197661 -12.9087657 2
+#> 4 1 -14.20 -0.55 1.8296629 1.46862685 -12.370337 0.9186269 2
+#> 5 1 -5.40 -3.30 -1.0892800 -1.77985339 -6.489280 -5.0798534 2
+#> 6 1 -4.10 -2.55 0.4477539 0.01667347 -3.652246 -2.5333265 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6780 -38075 7100
+#> initial value 998.131940
+#> iter 2 value 832.971080
+#> iter 3 value 826.885085
+#> iter 4 value 824.988393
+#> iter 5 value 777.116743
+#> iter 6 value 766.477676
+#> iter 7 value 764.913249
+#> iter 8 value 764.883386
+#> iter 9 value 764.883265
+#> iter 10 value 764.883204
+#> iter 11 value 764.883160
+#> iter 11 value 764.883150
+#> iter 11 value 764.883150
+#> final value 764.883150
+#> converged
+#> This is Run number 63
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.7372771 3.5585879 0.1872771 -9.64141205 1
+#> 2 1 -3.10 -5.40 0.8746554 -0.2288145 -2.2253446 -5.62881451 1
+#> 3 1 -14.60 -12.20 -1.4710510 6.8631531 -16.0710510 -5.33684694 2
+#> 4 1 -14.20 -0.55 2.6052865 0.5216402 -11.5947135 -0.02835976 2
+#> 5 1 -5.40 -3.30 -1.2243449 0.9170877 -6.6243449 -2.38291230 2
+#> 6 1 -4.10 -2.55 2.9234830 1.0612305 -1.1765170 -1.48876950 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5680 -35925 7425
+#> initial value 998.131940
+#> iter 2 value 859.824114
+#> iter 3 value 854.628633
+#> iter 4 value 850.130175
+#> iter 5 value 795.795886
+#> iter 6 value 786.022296
+#> iter 7 value 784.415994
+#> iter 8 value 784.387619
+#> iter 9 value 784.387590
+#> iter 9 value 784.387579
+#> iter 9 value 784.387579
+#> final value 784.387579
+#> converged
+#> This is Run number 64
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.52212276 0.7078553 -0.02787724 -12.492145 1
+#> 2 1 -3.10 -5.40 0.09584287 1.4064986 -3.00415713 -3.993501 1
+#> 3 1 -14.60 -12.20 1.03948289 0.3349791 -13.56051711 -11.865021 2
+#> 4 1 -14.20 -0.55 0.44355666 -0.1102650 -13.75644334 -0.660265 2
+#> 5 1 -5.40 -3.30 1.99598889 1.8249909 -3.40401111 -1.475009 2
+#> 6 1 -4.10 -2.55 0.62703952 1.0168970 -3.47296048 -1.533103 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7320 -37650 6775
+#> initial value 998.131940
+#> iter 2 value 840.414655
+#> iter 3 value 836.456611
+#> iter 4 value 836.286390
+#> iter 5 value 787.291582
+#> iter 6 value 776.556132
+#> iter 7 value 774.940335
+#> iter 8 value 774.908057
+#> iter 9 value 774.907996
+#> iter 10 value 774.907983
+#> iter 11 value 774.907925
+#> iter 12 value 774.907867
+#> iter 12 value 774.907867
+#> iter 12 value 774.907867
+#> final value 774.907867
+#> converged
+#> This is Run number 65
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.555526450 0.70935307 0.00552645 -12.490647 1
+#> 2 1 -3.10 -5.40 0.677317776 0.30674618 -2.42268222 -5.093254 1
+#> 3 1 -14.60 -12.20 -0.186692276 -0.46753686 -14.78669228 -12.667537 2
+#> 4 1 -14.20 -0.55 -0.536453057 4.40439089 -14.73645306 3.854391 2
+#> 5 1 -5.40 -3.30 2.014109335 0.70523606 -3.38589066 -2.594764 2
+#> 6 1 -4.10 -2.55 0.004830214 0.04225053 -4.09516979 -2.507749 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6660 -36725 6275
+#> initial value 998.131940
+#> iter 2 value 856.380557
+#> iter 3 value 852.790542
+#> iter 4 value 850.744315
+#> iter 5 value 799.938549
+#> iter 6 value 789.642032
+#> iter 7 value 787.854440
+#> iter 8 value 787.812804
+#> iter 9 value 787.812745
+#> iter 10 value 787.812720
+#> iter 11 value 787.812674
+#> iter 12 value 787.812641
+#> iter 12 value 787.812641
+#> iter 12 value 787.812641
+#> final value 787.812641
+#> converged
+#> This is Run number 66
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.00815106 0.1760391 -0.5581511 -13.0239609 1
+#> 2 1 -3.10 -5.40 -1.35246494 0.3157016 -4.4524649 -5.0842984 1
+#> 3 1 -14.60 -12.20 -0.07906295 0.5126871 -14.6790630 -11.6873129 2
+#> 4 1 -14.20 -0.55 3.09785307 1.0645618 -11.1021469 0.5145618 2
+#> 5 1 -5.40 -3.30 -1.13508223 -1.2326382 -6.5350822 -4.5326382 2
+#> 6 1 -4.10 -2.55 0.57028920 0.7032660 -3.5297108 -1.8467340 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -34900 5850
+#> initial value 998.131940
+#> iter 2 value 881.374096
+#> iter 3 value 880.013139
+#> iter 4 value 878.299595
+#> iter 5 value 822.960650
+#> iter 6 value 813.624941
+#> iter 7 value 811.707917
+#> iter 8 value 811.663869
+#> iter 9 value 811.663758
+#> iter 10 value 811.663728
+#> iter 11 value 811.663682
+#> iter 12 value 811.663653
+#> iter 12 value 811.663653
+#> iter 12 value 811.663653
+#> final value 811.663653
+#> converged
+#> This is Run number 67
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.3713217 0.1636658 1.8213217 -13.0363342 1
+#> 2 1 -3.10 -5.40 2.1652965 -1.5301550 -0.9347035 -6.9301550 1
+#> 3 1 -14.60 -12.20 0.5132486 0.6827706 -14.0867514 -11.5172294 2
+#> 4 1 -14.20 -0.55 1.0991903 0.7464201 -13.1008097 0.1964201 2
+#> 5 1 -5.40 -3.30 -0.6811577 -0.2405168 -6.0811577 -3.5405168 2
+#> 6 1 -4.10 -2.55 1.6933582 2.9008811 -2.4066418 0.3508811 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -36200 6200
+#> initial value 998.131940
+#> iter 2 value 863.431541
+#> iter 3 value 861.137029
+#> iter 4 value 860.229728
+#> iter 5 value 807.700596
+#> iter 6 value 797.597579
+#> iter 7 value 795.750441
+#> iter 8 value 795.706577
+#> iter 9 value 795.706486
+#> iter 9 value 795.706480
+#> iter 9 value 795.706480
+#> final value 795.706480
+#> converged
+#> This is Run number 68
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.9171304 0.9422976 0.3671304 -12.257702 1
+#> 2 1 -3.10 -5.40 -0.1683480 2.5036243 -3.2683480 -2.896376 2
+#> 3 1 -14.60 -12.20 0.5176264 1.5245893 -14.0823736 -10.675411 2
+#> 4 1 -14.20 -0.55 0.8280348 -0.7116315 -13.3719652 -1.261632 2
+#> 5 1 -5.40 -3.30 -0.7010016 -1.0764084 -6.1010016 -4.376408 2
+#> 6 1 -4.10 -2.55 0.5696001 0.8923430 -3.5303999 -1.657657 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6900 -36600 5750
+#> initial value 998.131940
+#> iter 2 value 860.680423
+#> iter 3 value 857.925725
+#> iter 4 value 856.342827
+#> iter 5 value 805.847498
+#> iter 6 value 795.630827
+#> iter 7 value 793.658271
+#> iter 8 value 793.606400
+#> iter 9 value 793.606274
+#> iter 10 value 793.606253
+#> iter 11 value 793.606216
+#> iter 12 value 793.606180
+#> iter 12 value 793.606180
+#> iter 12 value 793.606180
+#> final value 793.606180
+#> converged
+#> This is Run number 69
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.7871790 -0.3351889 0.237179 -13.5351889 1
+#> 2 1 -3.10 -5.40 0.4127323 -0.8865635 -2.687268 -6.2865635 1
+#> 3 1 -14.60 -12.20 -0.1620805 -1.1695105 -14.762080 -13.3695105 2
+#> 4 1 -14.20 -0.55 -1.9598202 0.1269472 -16.159820 -0.4230528 2
+#> 5 1 -5.40 -3.30 1.6375937 0.1371785 -3.762406 -3.1628215 2
+#> 6 1 -4.10 -2.55 -1.4715882 -1.2228203 -5.571588 -3.7728203 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -37875 5975
+#> initial value 998.131940
+#> iter 2 value 842.374326
+#> iter 3 value 837.175906
+#> iter 4 value 833.792511
+#> iter 5 value 787.460786
+#> iter 6 value 776.763863
+#> iter 7 value 774.992202
+#> iter 8 value 774.947288
+#> iter 9 value 774.947247
+#> iter 10 value 774.947229
+#> iter 11 value 774.947197
+#> iter 12 value 774.947171
+#> iter 12 value 774.947171
+#> iter 12 value 774.947171
+#> final value 774.947171
+#> converged
+#> This is Run number 70
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.2424477 -0.17622219 -0.7924477 -13.3762222 1
+#> 2 1 -3.10 -5.40 0.5972408 1.49510342 -2.5027592 -3.9048966 1
+#> 3 1 -14.60 -12.20 0.4533154 -0.03868423 -14.1466846 -12.2386842 2
+#> 4 1 -14.20 -0.55 -0.9982893 -0.28073384 -15.1982893 -0.8307338 2
+#> 5 1 -5.40 -3.30 0.7920413 -0.68096510 -4.6079587 -3.9809651 2
+#> 6 1 -4.10 -2.55 0.3880924 1.63201439 -3.7119076 -0.9179856 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6400 -36750 7175
+#> initial value 998.131940
+#> iter 2 value 850.777886
+#> iter 3 value 846.291342
+#> iter 4 value 844.364725
+#> iter 5 value 792.157329
+#> iter 6 value 781.908793
+#> iter 7 value 780.289095
+#> iter 8 value 780.258948
+#> iter 9 value 780.258903
+#> iter 10 value 780.258878
+#> iter 11 value 780.258826
+#> iter 12 value 780.258794
+#> iter 12 value 780.258794
+#> iter 12 value 780.258794
+#> final value 780.258794
+#> converged
+#> This is Run number 71
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.19084771 1.13443707 1.640848 -12.06556293 1
+#> 2 1 -3.10 -5.40 1.32307589 1.41940661 -1.776924 -3.98059339 1
+#> 3 1 -14.60 -12.20 0.01993147 0.11092971 -14.580069 -12.08907029 2
+#> 4 1 -14.20 -0.55 -0.54061510 0.60119558 -14.740615 0.05119558 2
+#> 5 1 -5.40 -3.30 2.88295296 0.09000784 -2.517047 -3.20999216 1
+#> 6 1 -4.10 -2.55 0.20654238 1.79578034 -3.893458 -0.75421966 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6900 -37850 5550
+#> initial value 998.131940
+#> iter 2 value 844.907264
+#> iter 3 value 839.893606
+#> iter 4 value 835.983063
+#> iter 5 value 790.433869
+#> iter 6 value 779.765795
+#> iter 7 value 777.857197
+#> iter 8 value 777.803455
+#> iter 9 value 777.803363
+#> iter 9 value 777.803351
+#> iter 9 value 777.803351
+#> final value 777.803351
+#> converged
+#> This is Run number 72
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.5803215 -0.02311054 2.030322 -13.223111 1
+#> 2 1 -3.10 -5.40 -0.1729393 1.02227524 -3.272939 -4.377725 1
+#> 3 1 -14.60 -12.20 0.5193857 -0.11709595 -14.080614 -12.317096 2
+#> 4 1 -14.20 -0.55 0.3033881 1.88141669 -13.896612 1.331417 2
+#> 5 1 -5.40 -3.30 -0.5558121 0.22091701 -5.955812 -3.079083 2
+#> 6 1 -4.10 -2.55 0.6662322 3.72649579 -3.433768 1.176496 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5760 -34850 7500
+#> initial value 998.131940
+#> iter 2 value 872.339430
+#> iter 3 value 870.162178
+#> iter 4 value 868.036495
+#> iter 5 value 809.631511
+#> iter 6 value 800.238197
+#> iter 7 value 798.647632
+#> iter 8 value 798.621647
+#> iter 9 value 798.621623
+#> iter 10 value 798.621607
+#> iter 11 value 798.621559
+#> iter 12 value 798.621519
+#> iter 12 value 798.621519
+#> iter 12 value 798.621519
+#> final value 798.621519
+#> converged
+#> This is Run number 73
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.08003648 -1.1342280 -0.6300365 -14.3342280 1
+#> 2 1 -3.10 -5.40 1.34404849 -0.5162046 -1.7559515 -5.9162046 1
+#> 3 1 -14.60 -12.20 1.36242488 1.1450045 -13.2375751 -11.0549955 2
+#> 4 1 -14.20 -0.55 -1.22126230 0.2398502 -15.4212623 -0.3101498 2
+#> 5 1 -5.40 -3.30 -0.72537236 3.0684756 -6.1253724 -0.2315244 2
+#> 6 1 -4.10 -2.55 1.24535672 0.3746493 -2.8546433 -2.1753507 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -36175 6600
+#> initial value 998.131940
+#> iter 2 value 861.731030
+#> iter 3 value 858.306923
+#> iter 4 value 856.022179
+#> iter 5 value 803.120636
+#> iter 6 value 793.082269
+#> iter 7 value 791.357190
+#> iter 8 value 791.320678
+#> iter 9 value 791.320632
+#> iter 10 value 791.320606
+#> iter 11 value 791.320556
+#> iter 12 value 791.320523
+#> iter 12 value 791.320523
+#> iter 12 value 791.320523
+#> final value 791.320523
+#> converged
+#> This is Run number 74
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.3670278 1.21874292 -0.1829722 -11.9812571 1
+#> 2 1 -3.10 -5.40 1.2219771 1.53410005 -1.8780229 -3.8659000 1
+#> 3 1 -14.60 -12.20 2.3629164 0.32123150 -12.2370836 -11.8787685 2
+#> 4 1 -14.20 -0.55 1.5101714 -0.43641689 -12.6898286 -0.9864169 2
+#> 5 1 -5.40 -3.30 -0.3280363 0.08379687 -5.7280363 -3.2162031 2
+#> 6 1 -4.10 -2.55 0.6577881 0.87308810 -3.4422119 -1.6769119 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6780 -37575 6625
+#> initial value 998.131940
+#> iter 2 value 842.876673
+#> iter 3 value 838.010847
+#> iter 4 value 836.003402
+#> iter 5 value 787.268342
+#> iter 6 value 776.665963
+#> iter 7 value 775.007555
+#> iter 8 value 774.972042
+#> iter 9 value 774.972004
+#> iter 10 value 774.971980
+#> iter 11 value 774.971926
+#> iter 12 value 774.971892
+#> iter 12 value 774.971892
+#> iter 12 value 774.971892
+#> final value 774.971892
+#> converged
+#> This is Run number 75
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.09634736 3.1187256 -0.4536526 -10.0812744 1
+#> 2 1 -3.10 -5.40 1.52204084 3.1867460 -1.5779592 -2.2132540 1
+#> 3 1 -14.60 -12.20 -0.28918310 0.1987137 -14.8891831 -12.0012863 2
+#> 4 1 -14.20 -0.55 0.74360324 0.3270406 -13.4563968 -0.2229594 2
+#> 5 1 -5.40 -3.30 0.81764730 0.1156045 -4.5823527 -3.1843955 2
+#> 6 1 -4.10 -2.55 -0.32318087 0.7763637 -4.4231809 -1.7736363 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6960 -39500 6725
+#> initial value 998.131940
+#> iter 2 value 814.172480
+#> iter 3 value 805.850459
+#> iter 4 value 801.986424
+#> iter 5 value 759.989962
+#> iter 6 value 749.225126
+#> iter 7 value 747.726049
+#> iter 8 value 747.692119
+#> iter 9 value 747.691810
+#> iter 10 value 747.691770
+#> iter 10 value 747.691764
+#> iter 10 value 747.691758
+#> final value 747.691758
+#> converged
+#> This is Run number 76
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 4.66261377 -0.140416358 4.112614 -13.3404164 1
+#> 2 1 -3.10 -5.40 0.37423822 0.332618075 -2.725762 -5.0673819 1
+#> 3 1 -14.60 -12.20 -0.07026226 0.179211480 -14.670262 -12.0207885 2
+#> 4 1 -14.20 -0.55 0.10156580 0.327088411 -14.098434 -0.2229116 2
+#> 5 1 -5.40 -3.30 -0.30987942 0.001117748 -5.709879 -3.2988823 2
+#> 6 1 -4.10 -2.55 3.09106534 -0.392998886 -1.008935 -2.9429989 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6340 -35875 6625
+#> initial value 998.131940
+#> iter 2 value 865.351334
+#> iter 3 value 862.462452
+#> iter 4 value 860.518874
+#> iter 5 value 806.596823
+#> iter 6 value 796.683111
+#> iter 7 value 794.956216
+#> iter 8 value 794.920147
+#> iter 9 value 794.920096
+#> iter 10 value 794.920068
+#> iter 11 value 794.920016
+#> iter 12 value 794.919983
+#> iter 12 value 794.919983
+#> iter 12 value 794.919983
+#> final value 794.919983
+#> converged
+#> This is Run number 77
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.2232675 -1.48029026 0.6732675 -14.680290 1
+#> 2 1 -3.10 -5.40 -0.1463083 0.09360380 -3.2463083 -5.306396 1
+#> 3 1 -14.60 -12.20 -0.6224007 -0.23664342 -15.2224007 -12.436643 2
+#> 4 1 -14.20 -0.55 1.5989813 1.91157672 -12.6010187 1.361577 2
+#> 5 1 -5.40 -3.30 1.2364311 -0.05705427 -4.1635689 -3.357054 2
+#> 6 1 -4.10 -2.55 -1.0080657 -0.60132903 -5.1080657 -3.151329 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6980 -37375 6400
+#> initial value 998.131940
+#> iter 2 value 846.768100
+#> iter 3 value 842.887478
+#> iter 4 value 841.675935
+#> iter 5 value 792.446547
+#> iter 6 value 781.843249
+#> iter 7 value 780.118010
+#> iter 8 value 780.078626
+#> iter 9 value 780.078602
+#> iter 10 value 780.078584
+#> iter 11 value 780.078527
+#> iter 12 value 780.078464
+#> iter 12 value 780.078464
+#> iter 12 value 780.078464
+#> final value 780.078464
+#> converged
+#> This is Run number 78
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.23524554 2.1115576 -0.7852455 -11.088442 1
+#> 2 1 -3.10 -5.40 0.78640339 2.5098191 -2.3135966 -2.890181 1
+#> 3 1 -14.60 -12.20 0.03445763 0.2951223 -14.5655424 -11.904878 2
+#> 4 1 -14.20 -0.55 -0.18722015 -0.4711959 -14.3872202 -1.021196 2
+#> 5 1 -5.40 -3.30 0.64555430 -1.1662123 -4.7544457 -4.466212 2
+#> 6 1 -4.10 -2.55 -0.23018314 -0.6557187 -4.3301831 -3.205719 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6440 -35100 6500
+#> initial value 998.131940
+#> iter 2 value 875.417076
+#> iter 3 value 874.134273
+#> iter 4 value 873.245959
+#> iter 5 value 817.122574
+#> iter 6 value 807.553487
+#> iter 7 value 805.790869
+#> iter 8 value 805.753679
+#> iter 9 value 805.753602
+#> iter 10 value 805.753570
+#> iter 11 value 805.753517
+#> iter 12 value 805.753480
+#> iter 12 value 805.753480
+#> iter 12 value 805.753480
+#> final value 805.753480
+#> converged
+#> This is Run number 79
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.4388143 2.7735895 -0.1111857 -10.4264105 1
+#> 2 1 -3.10 -5.40 0.8303081 -0.8307853 -2.2696919 -6.2307853 1
+#> 3 1 -14.60 -12.20 -1.0927741 -0.2014105 -15.6927741 -12.4014105 2
+#> 4 1 -14.20 -0.55 2.1756121 1.2297422 -12.0243879 0.6797422 2
+#> 5 1 -5.40 -3.30 -1.1431203 -0.6265264 -6.5431203 -3.9265264 2
+#> 6 1 -4.10 -2.55 -0.5495722 -0.8059583 -4.6495722 -3.3559583 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -35600 5825
+#> initial value 998.131940
+#> iter 2 value 873.056836
+#> iter 3 value 871.128962
+#> iter 4 value 869.519284
+#> iter 5 value 816.064444
+#> iter 6 value 806.348682
+#> iter 7 value 804.392195
+#> iter 8 value 804.344386
+#> iter 9 value 804.344265
+#> iter 10 value 804.344239
+#> iter 11 value 804.344195
+#> iter 12 value 804.344162
+#> iter 12 value 804.344162
+#> iter 12 value 804.344162
+#> final value 804.344162
+#> converged
+#> This is Run number 80
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 4.6593869 -1.4349352 4.109387 -14.6349352 1
+#> 2 1 -3.10 -5.40 1.0124723 0.8554177 -2.087528 -4.5445823 1
+#> 3 1 -14.60 -12.20 0.9371386 2.1880602 -13.662861 -10.0119398 2
+#> 4 1 -14.20 -0.55 -0.8820371 -0.1461331 -15.082037 -0.6961331 2
+#> 5 1 -5.40 -3.30 0.2815413 0.9416536 -5.118459 -2.3583464 2
+#> 6 1 -4.10 -2.55 0.2577118 0.1069283 -3.842288 -2.4430717 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6940 -37525 6400
+#> initial value 998.131940
+#> iter 2 value 844.758620
+#> iter 3 value 840.514553
+#> iter 4 value 838.972799
+#> iter 5 value 790.292470
+#> iter 6 value 779.655116
+#> iter 7 value 777.944013
+#> iter 8 value 777.905059
+#> iter 9 value 777.905011
+#> iter 10 value 777.904988
+#> iter 11 value 777.904951
+#> iter 12 value 777.904906
+#> iter 12 value 777.904906
+#> iter 12 value 777.904906
+#> final value 777.904906
+#> converged
+#> This is Run number 81
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.3994233 0.3748806 -0.1505767 -12.8251194 1
+#> 2 1 -3.10 -5.40 -0.5965326 1.0316359 -3.6965326 -4.3683641 1
+#> 3 1 -14.60 -12.20 1.3168948 1.8693030 -13.2831052 -10.3306970 2
+#> 4 1 -14.20 -0.55 1.2762732 1.1563737 -12.9237268 0.6063737 2
+#> 5 1 -5.40 -3.30 -0.9367026 1.2181986 -6.3367026 -2.0818014 2
+#> 6 1 -4.10 -2.55 1.4158075 0.2764117 -2.6841925 -2.2735883 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6440 -37350 5500
+#> initial value 998.131940
+#> iter 2 value 852.281134
+#> iter 3 value 846.114262
+#> iter 4 value 839.517634
+#> iter 5 value 793.648675
+#> iter 6 value 783.256905
+#> iter 7 value 781.307678
+#> iter 8 value 781.252734
+#> iter 9 value 781.252620
+#> iter 9 value 781.252616
+#> iter 9 value 781.252616
+#> final value 781.252616
+#> converged
+#> This is Run number 82
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.1760983 1.4635329 -0.3739017 -11.7364671 1
+#> 2 1 -3.10 -5.40 0.9951825 0.6558669 -2.1048175 -4.7441331 1
+#> 3 1 -14.60 -12.20 0.1368179 -0.8199533 -14.4631821 -13.0199533 2
+#> 4 1 -14.20 -0.55 3.2977374 1.4209508 -10.9022626 0.8709508 2
+#> 5 1 -5.40 -3.30 2.5033172 -0.1466480 -2.8966828 -3.4466480 1
+#> 6 1 -4.10 -2.55 -0.4820030 -0.3223504 -4.5820030 -2.8723504 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7240 -35875 5775
+#> initial value 998.131940
+#> iter 2 value 869.366693
+#> iter 3 value 868.138972
+#> iter 4 value 868.033957
+#> iter 5 value 815.167320
+#> iter 6 value 805.304024
+#> iter 7 value 803.280486
+#> iter 8 value 803.227593
+#> iter 9 value 803.227421
+#> iter 9 value 803.227413
+#> iter 9 value 803.227413
+#> final value 803.227413
+#> converged
+#> This is Run number 83
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.740467694 -0.5495086 0.1904677 -13.749509 1
+#> 2 1 -3.10 -5.40 -0.863173591 -1.0158537 -3.9631736 -6.415854 1
+#> 3 1 -14.60 -12.20 0.303034073 0.6273732 -14.2969659 -11.572627 2
+#> 4 1 -14.20 -0.55 0.588189793 5.0890859 -13.6118102 4.539086 2
+#> 5 1 -5.40 -3.30 0.638589872 0.4839735 -4.7614101 -2.816027 2
+#> 6 1 -4.10 -2.55 -0.006577028 -1.5159665 -4.1065770 -4.065966 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6740 -37600 6450
+#> initial value 998.131940
+#> iter 2 value 843.590038
+#> iter 3 value 838.577070
+#> iter 4 value 836.011028
+#> iter 5 value 787.794984
+#> iter 6 value 777.192636
+#> iter 7 value 775.505704
+#> iter 8 value 775.467853
+#> iter 9 value 775.467805
+#> iter 10 value 775.467773
+#> iter 11 value 775.467749
+#> iter 12 value 775.467718
+#> iter 12 value 775.467718
+#> iter 12 value 775.467718
+#> final value 775.467718
+#> converged
+#> This is Run number 84
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.5333819 -0.6170075 -0.01661809 -13.8170075 1
+#> 2 1 -3.10 -5.40 0.1157722 0.2717886 -2.98422783 -5.1282114 1
+#> 3 1 -14.60 -12.20 0.1032979 0.1649664 -14.49670208 -12.0350336 2
+#> 4 1 -14.20 -0.55 1.7446775 0.2004144 -12.45532255 -0.3495856 2
+#> 5 1 -5.40 -3.30 -0.1261805 0.3876319 -5.52618047 -2.9123681 2
+#> 6 1 -4.10 -2.55 0.6622697 -1.2293223 -3.43773032 -3.7793223 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6720 -36900 5650
+#> initial value 998.131940
+#> iter 2 value 857.409526
+#> iter 3 value 853.535981
+#> iter 4 value 850.391190
+#> iter 5 value 801.487471
+#> iter 6 value 791.188032
+#> iter 7 value 789.223597
+#> iter 8 value 789.170966
+#> iter 9 value 789.170852
+#> iter 10 value 789.170835
+#> iter 11 value 789.170809
+#> iter 12 value 789.170784
+#> iter 12 value 789.170784
+#> iter 12 value 789.170784
+#> final value 789.170784
+#> converged
+#> This is Run number 85
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.8624844 1.47679323 2.312484 -11.7232068 1
+#> 2 1 -3.10 -5.40 1.4035362 -0.26640310 -1.696464 -5.6664031 1
+#> 3 1 -14.60 -12.20 1.8433913 -0.64777737 -12.756609 -12.8477774 1
+#> 4 1 -14.20 -0.55 -0.8668889 0.72666606 -15.066889 0.1766661 2
+#> 5 1 -5.40 -3.30 -0.1880064 -0.03667056 -5.588006 -3.3366706 2
+#> 6 1 -4.10 -2.55 -1.2807857 -0.23580759 -5.380786 -2.7858076 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7020 -37825 5100
+#> initial value 998.131940
+#> iter 2 value 847.355546
+#> iter 3 value 842.685196
+#> iter 4 value 838.575142
+#> iter 5 value 793.726220
+#> iter 6 value 783.127105
+#> iter 7 value 781.021670
+#> iter 8 value 780.955922
+#> iter 9 value 780.955726
+#> iter 9 value 780.955722
+#> iter 9 value 780.955722
+#> final value 780.955722
+#> converged
+#> This is Run number 86
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.08867906 1.77491518 -0.4613209 -11.4250848 1
+#> 2 1 -3.10 -5.40 2.34348343 0.17870946 -0.7565166 -5.2212905 1
+#> 3 1 -14.60 -12.20 -0.25715638 0.13442514 -14.8571564 -12.0655749 2
+#> 4 1 -14.20 -0.55 -0.79535285 0.68816179 -14.9953528 0.1381618 2
+#> 5 1 -5.40 -3.30 1.54468200 -0.03914253 -3.8553180 -3.3391425 2
+#> 6 1 -4.10 -2.55 2.06130102 0.05184902 -2.0386990 -2.4981510 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7420 -37125 5600
+#> initial value 998.131940
+#> iter 2 value 854.011929
+#> iter 3 value 851.615495
+#> iter 4 value 851.150634
+#> iter 5 value 802.187436
+#> iter 6 value 791.705520
+#> iter 7 value 789.670515
+#> iter 8 value 789.612812
+#> iter 9 value 789.612646
+#> iter 10 value 789.612634
+#> iter 11 value 789.612600
+#> iter 12 value 789.612548
+#> iter 12 value 789.612548
+#> iter 12 value 789.612548
+#> final value 789.612548
+#> converged
+#> This is Run number 87
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.4597893 -0.8283012 -1.009789 -14.0283012 1
+#> 2 1 -3.10 -5.40 -0.6587676 -1.3765755 -3.758768 -6.7765755 1
+#> 3 1 -14.60 -12.20 -0.3655874 -1.2351958 -14.965587 -13.4351958 2
+#> 4 1 -14.20 -0.55 1.2706433 -0.2990022 -12.929357 -0.8490022 2
+#> 5 1 -5.40 -3.30 1.1424024 1.1312219 -4.257598 -2.1687781 2
+#> 6 1 -4.10 -2.55 -0.5632015 2.1507338 -4.663202 -0.3992662 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6960 -38175 6300
+#> initial value 998.131940
+#> iter 2 value 836.245602
+#> iter 3 value 830.881999
+#> iter 4 value 828.399873
+#> iter 5 value 782.214039
+#> iter 6 value 771.414790
+#> iter 7 value 769.744919
+#> iter 8 value 769.706112
+#> iter 8 value 769.706108
+#> final value 769.706108
+#> converged
+#> This is Run number 88
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.60213445 1.6504753 0.05213445 -11.549525 1
+#> 2 1 -3.10 -5.40 0.72063404 0.8033587 -2.37936596 -4.596641 1
+#> 3 1 -14.60 -12.20 -0.08246296 1.2449144 -14.68246296 -10.955086 2
+#> 4 1 -14.20 -0.55 1.76900365 1.9579270 -12.43099635 1.407927 2
+#> 5 1 -5.40 -3.30 1.08997275 1.8610937 -4.31002725 -1.438906 2
+#> 6 1 -4.10 -2.55 -0.28085846 0.6428674 -4.38085846 -1.907133 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -36525 6375
+#> initial value 998.131940
+#> iter 2 value 858.457603
+#> iter 3 value 855.006044
+#> iter 4 value 852.991951
+#> iter 5 value 801.416893
+#> iter 6 value 791.206847
+#> iter 7 value 789.436533
+#> iter 8 value 789.396480
+#> iter 9 value 789.396424
+#> iter 10 value 789.396398
+#> iter 11 value 789.396350
+#> iter 12 value 789.396316
+#> iter 12 value 789.396316
+#> iter 12 value 789.396316
+#> final value 789.396316
+#> converged
+#> This is Run number 89
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.1677418 1.4626584 0.6177418 -11.7373416 1
+#> 2 1 -3.10 -5.40 1.5652340 1.6970691 -1.5347660 -3.7029309 1
+#> 3 1 -14.60 -12.20 -0.4291350 0.4931609 -15.0291350 -11.7068391 2
+#> 4 1 -14.20 -0.55 -0.5729715 -0.4471777 -14.7729715 -0.9971777 2
+#> 5 1 -5.40 -3.30 -0.4811021 0.2366267 -5.8811021 -3.0633733 2
+#> 6 1 -4.10 -2.55 1.5124808 -1.5094442 -2.5875192 -4.0594442 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6520 -36650 5500
+#> initial value 998.131940
+#> iter 2 value 861.548664
+#> iter 3 value 857.263555
+#> iter 4 value 852.901182
+#> iter 5 value 803.995689
+#> iter 6 value 793.861365
+#> iter 7 value 791.842921
+#> iter 8 value 791.788096
+#> iter 9 value 791.787964
+#> iter 9 value 791.787953
+#> iter 9 value 791.787953
+#> final value 791.787953
+#> converged
+#> This is Run number 90
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.6657224 0.8287880 1.115722 -12.37121204 1
+#> 2 1 -3.10 -5.40 0.6673192 2.0223999 -2.432681 -3.37760009 1
+#> 3 1 -14.60 -12.20 0.2764894 0.1447055 -14.323511 -12.05529453 2
+#> 4 1 -14.20 -0.55 -1.2012768 0.5131352 -15.401277 -0.03686479 2
+#> 5 1 -5.40 -3.30 1.4912732 -0.1454775 -3.908727 -3.44547749 2
+#> 6 1 -4.10 -2.55 0.6649373 0.2877587 -3.435063 -2.26224132 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6640 -36775 6800
+#> initial value 998.131940
+#> iter 2 value 852.660095
+#> iter 3 value 848.882736
+#> iter 4 value 847.467081
+#> iter 5 value 795.812399
+#> iter 6 value 785.479228
+#> iter 7 value 783.804568
+#> iter 8 value 783.770325
+#> iter 9 value 783.770270
+#> iter 10 value 783.770235
+#> iter 11 value 783.770206
+#> iter 12 value 783.770166
+#> iter 12 value 783.770166
+#> iter 12 value 783.770166
+#> final value 783.770166
+#> converged
+#> This is Run number 91
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.416082768 0.1862994 -0.1339172 -13.0137006 1
+#> 2 1 -3.10 -5.40 -0.568210821 1.5918296 -3.6682108 -3.8081704 1
+#> 3 1 -14.60 -12.20 -0.948000846 -0.2868767 -15.5480008 -12.4868767 2
+#> 4 1 -14.20 -0.55 -0.008939369 0.3489111 -14.2089394 -0.2010889 2
+#> 5 1 -5.40 -3.30 -1.073512560 1.8425228 -6.4735126 -1.4574772 2
+#> 6 1 -4.10 -2.55 -0.416006855 1.7537197 -4.5160069 -0.7962803 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7320 -34675 5475
+#> initial value 998.131940
+#> iter 2 value 885.032660
+#> iter 3 value 884.933198
+#> iter 4 value 884.903644
+#> iter 5 value 829.392503
+#> iter 6 value 820.443008
+#> iter 7 value 818.355541
+#> iter 8 value 818.303470
+#> iter 9 value 818.303262
+#> iter 9 value 818.303255
+#> iter 9 value 818.303255
+#> final value 818.303255
+#> converged
+#> This is Run number 92
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.3734566 -1.1077575 -0.1765434 -14.3077575 1
+#> 2 1 -3.10 -5.40 0.4989488 -0.1685852 -2.6010512 -5.5685852 1
+#> 3 1 -14.60 -12.20 1.4119602 0.9727049 -13.1880398 -11.2272951 2
+#> 4 1 -14.20 -0.55 0.1897250 -0.1430113 -14.0102750 -0.6930113 2
+#> 5 1 -5.40 -3.30 -1.4901944 1.1095776 -6.8901944 -2.1904224 2
+#> 6 1 -4.10 -2.55 -0.7119322 5.0664311 -4.8119322 2.5164311 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6740 -34650 5675
+#> initial value 998.131940
+#> iter 2 value 884.933105
+#> iter 3 value 884.582230
+#> iter 4 value 884.111189
+#> iter 5 value 828.156382
+#> iter 6 value 818.970342
+#> iter 7 value 816.960219
+#> iter 8 value 816.912262
+#> iter 9 value 816.912108
+#> iter 10 value 816.912081
+#> iter 11 value 816.912031
+#> iter 12 value 816.911988
+#> iter 12 value 816.911988
+#> iter 12 value 816.911988
+#> final value 816.911988
+#> converged
+#> This is Run number 93
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.14373310 -0.2979953 -0.69373310 -13.4979953 1
+#> 2 1 -3.10 -5.40 3.03166353 -0.3161766 -0.06833647 -5.7161766 1
+#> 3 1 -14.60 -12.20 -0.06045617 4.4699949 -14.66045617 -7.7300051 2
+#> 4 1 -14.20 -0.55 0.77673824 1.1577815 -13.42326176 0.6077815 2
+#> 5 1 -5.40 -3.30 1.20801207 2.8917625 -4.19198793 -0.4082375 2
+#> 6 1 -4.10 -2.55 -0.14276872 -0.6576289 -4.24276872 -3.2076289 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -37950 6750
+#> initial value 998.131940
+#> iter 2 value 836.898184
+#> iter 3 value 831.308600
+#> iter 4 value 829.100092
+#> iter 5 value 781.432302
+#> iter 6 value 770.756092
+#> iter 7 value 769.144851
+#> iter 8 value 769.111450
+#> iter 9 value 769.111392
+#> iter 10 value 769.111341
+#> iter 11 value 769.111288
+#> iter 11 value 769.111279
+#> iter 11 value 769.111279
+#> final value 769.111279
+#> converged
+#> This is Run number 94
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.29009283 -0.3124680 -0.2599072 -13.512468 1
+#> 2 1 -3.10 -5.40 1.96127790 -0.2601896 -1.1387221 -5.660190 1
+#> 3 1 -14.60 -12.20 3.54490983 -0.8099415 -11.0550902 -13.009942 1
+#> 4 1 -14.20 -0.55 0.48485974 -1.0550745 -13.7151403 -1.605074 2
+#> 5 1 -5.40 -3.30 0.08657006 -0.6461230 -5.3134299 -3.946123 2
+#> 6 1 -4.10 -2.55 -0.45236115 0.6791406 -4.5523612 -1.870859 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6020 -33475 6150
+#> initial value 998.131940
+#> iter 2 value 895.718606
+#> iter 3 value 883.355812
+#> iter 4 value 882.461820
+#> iter 5 value 834.094480
+#> iter 6 value 826.516185
+#> iter 7 value 824.979995
+#> iter 8 value 824.944102
+#> iter 9 value 824.943850
+#> iter 10 value 824.943762
+#> iter 11 value 824.943647
+#> iter 12 value 824.943562
+#> iter 12 value 824.943562
+#> iter 12 value 824.943562
+#> final value 824.943562
+#> converged
+#> This is Run number 95
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.06876518 -1.33462490 -0.4812348 -14.5346249 1
+#> 2 1 -3.10 -5.40 -1.19230525 -1.05929370 -4.2923052 -6.4592937 1
+#> 3 1 -14.60 -12.20 1.24335732 -0.33069912 -13.3566427 -12.5306991 2
+#> 4 1 -14.20 -0.55 1.79028228 -0.06881787 -12.4097177 -0.6188179 2
+#> 5 1 -5.40 -3.30 2.01650352 1.65293931 -3.3834965 -1.6470607 2
+#> 6 1 -4.10 -2.55 -0.88277994 1.46758130 -4.9827799 -1.0824187 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6100 -35225 7275
+#> initial value 998.131940
+#> iter 2 value 869.337169
+#> iter 3 value 867.211587
+#> iter 4 value 865.857019
+#> iter 5 value 808.777834
+#> iter 6 value 799.148111
+#> iter 7 value 797.525317
+#> iter 8 value 797.496887
+#> iter 9 value 797.496837
+#> iter 10 value 797.496801
+#> iter 11 value 797.496774
+#> iter 12 value 797.496740
+#> iter 12 value 797.496740
+#> iter 12 value 797.496740
+#> final value 797.496740
+#> converged
+#> This is Run number 96
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.1982611 0.3910663 -0.7482611 -12.808934 1
+#> 2 1 -3.10 -5.40 -0.5851311 2.8324663 -3.6851311 -2.567534 2
+#> 3 1 -14.60 -12.20 -1.2513373 -1.0461566 -15.8513373 -13.246157 2
+#> 4 1 -14.20 -0.55 0.3883240 0.1319360 -13.8116760 -0.418064 2
+#> 5 1 -5.40 -3.30 -0.1275205 -0.5395253 -5.5275205 -3.839525 2
+#> 6 1 -4.10 -2.55 -0.4888807 0.7294949 -4.5888807 -1.820505 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6860 -35225 5300
+#> initial value 998.131940
+#> iter 2 value 880.006373
+#> iter 3 value 879.008672
+#> iter 4 value 878.102775
+#> iter 5 value 824.291241
+#> iter 6 value 814.892392
+#> iter 7 value 812.710285
+#> iter 8 value 812.653529
+#> iter 9 value 812.653333
+#> iter 10 value 812.653310
+#> iter 11 value 812.653271
+#> iter 12 value 812.653233
+#> iter 12 value 812.653233
+#> iter 12 value 812.653233
+#> final value 812.653233
+#> converged
+#> This is Run number 97
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.7394139 -0.19790089 1.189414 -13.397901 1
+#> 2 1 -3.10 -5.40 0.3046723 0.85053947 -2.795328 -4.549461 1
+#> 3 1 -14.60 -12.20 0.1684380 4.94206542 -14.431562 -7.257935 2
+#> 4 1 -14.20 -0.55 -0.3123428 -0.09282504 -14.512343 -0.642825 2
+#> 5 1 -5.40 -3.30 -0.1252146 -1.08871694 -5.525215 -4.388717 2
+#> 6 1 -4.10 -2.55 -1.0462387 -0.08418343 -5.146239 -2.634183 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5300 -33125 6575
+#> initial value 998.131940
+#> iter 2 value 896.952184
+#> iter 3 value 896.232182
+#> iter 4 value 892.536924
+#> iter 5 value 832.105431
+#> iter 6 value 823.729501
+#> iter 7 value 822.173055
+#> iter 8 value 822.147133
+#> iter 9 value 822.147095
+#> iter 10 value 822.147074
+#> iter 11 value 822.147031
+#> iter 12 value 822.147008
+#> iter 12 value 822.147008
+#> iter 12 value 822.147008
+#> final value 822.147008
+#> converged
+#> This is Run number 98
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.02530875 -0.86831554 0.475308754 -14.068316 1
+#> 2 1 -3.10 -5.40 3.10771687 -1.45659686 0.007716869 -6.856597 1
+#> 3 1 -14.60 -12.20 -0.07452353 2.28725394 -14.674523529 -9.912746 2
+#> 4 1 -14.20 -0.55 1.24289951 2.73402819 -12.957100486 2.184028 2
+#> 5 1 -5.40 -3.30 0.36376194 1.13449169 -5.036238056 -2.165508 2
+#> 6 1 -4.10 -2.55 1.35595423 0.01680496 -2.744045768 -2.533195 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6640 -37925 7000
+#> initial value 998.131940
+#> iter 2 value 835.808854
+#> iter 3 value 829.629691
+#> iter 4 value 827.026388
+#> iter 5 value 779.020130
+#> iter 6 value 768.430870
+#> iter 7 value 766.848388
+#> iter 8 value 766.817131
+#> iter 9 value 766.817046
+#> iter 10 value 766.816991
+#> iter 11 value 766.816943
+#> iter 11 value 766.816939
+#> iter 11 value 766.816939
+#> final value 766.816939
+#> converged
+#> This is Run number 99
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.5235644 -0.01254791 -1.073564 -13.2125479 1
+#> 2 1 -3.10 -5.40 -0.5823341 3.06246673 -3.682334 -2.3375333 2
+#> 3 1 -14.60 -12.20 3.2952334 0.87366963 -11.304767 -11.3263304 1
+#> 4 1 -14.20 -0.55 1.3231192 1.30873112 -12.876881 0.7587311 2
+#> 5 1 -5.40 -3.30 1.5224868 -0.30267503 -3.877513 -3.6026750 2
+#> 6 1 -4.10 -2.55 -0.1969594 -0.57454161 -4.296959 -3.1245416 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5920 -36275 6100
+#> initial value 998.131940
+#> iter 2 value 863.366534
+#> iter 3 value 857.516043
+#> iter 4 value 850.762654
+#> iter 5 value 800.758063
+#> iter 6 value 790.804246
+#> iter 7 value 788.997674
+#> iter 8 value 788.955263
+#> iter 9 value 788.955209
+#> iter 9 value 788.955199
+#> iter 9 value 788.955199
+#> final value 788.955199
+#> converged
+#> This is Run number 100
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.9919254 1.8474693 -1.541925 -11.3525307 1
+#> 2 1 -3.10 -5.40 -0.2164087 -0.3161669 -3.316409 -5.7161669 1
+#> 3 1 -14.60 -12.20 0.4093091 0.2958403 -14.190691 -11.9041597 2
+#> 4 1 -14.20 -0.55 1.0906921 -0.4499593 -13.109308 -0.9999593 2
+#> 5 1 -5.40 -3.30 1.5760140 0.5817732 -3.823986 -2.7182268 2
+#> 6 1 -4.10 -2.55 0.6966979 0.8885055 -3.403302 -1.6614945 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6980 -38350 6075
+#> initial value 998.131940
+#> iter 2 value 834.991812
+#> iter 3 value 829.391844
+#> iter 4 value 826.291767
+#> iter 5 value 781.216171
+#> iter 6 value 770.371043
+#> iter 7 value 768.672913
+#> iter 8 value 768.631040
+#> iter 9 value 768.630999
+#> iter 10 value 768.630963
+#> iter 10 value 768.630955
+#> iter 11 value 768.630943
+#> iter 12 value 768.630931
+#> iter 12 value 768.630930
+#> iter 12 value 768.630929
+#> final value 768.630929
+#> converged
+#> This is Run number 101
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.1148081 0.95900375 0.5648081 -12.2409963 1
+#> 2 1 -3.10 -5.40 3.2353194 2.94235524 0.1353194 -2.4576448 1
+#> 3 1 -14.60 -12.20 1.5984965 -0.61760449 -13.0015035 -12.8176045 2
+#> 4 1 -14.20 -0.55 0.9229698 0.01266454 -13.2770302 -0.5373355 2
+#> 5 1 -5.40 -3.30 1.2853628 -0.41524452 -4.1146372 -3.7152445 2
+#> 6 1 -4.10 -2.55 -0.9843743 -0.42495897 -5.0843743 -2.9749590 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7180 -36850 4750
+#> initial value 998.131940
+#> iter 2 value 861.967188
+#> iter 3 value 859.316609
+#> iter 4 value 857.107416
+#> iter 5 value 809.073793
+#> iter 6 value 798.999856
+#> iter 7 value 796.560598
+#> iter 8 value 796.483236
+#> iter 9 value 796.482911
+#> iter 9 value 796.482910
+#> iter 9 value 796.482910
+#> final value 796.482910
+#> converged
+#> This is Run number 102
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.9842438 0.79820859 -1.534244 -12.4017914 1
+#> 2 1 -3.10 -5.40 0.5014180 2.43723388 -2.598582 -2.9627661 1
+#> 3 1 -14.60 -12.20 0.4482750 -0.34121491 -14.151725 -12.5412149 2
+#> 4 1 -14.20 -0.55 4.4008740 -0.06848879 -9.799126 -0.6184888 2
+#> 5 1 -5.40 -3.30 3.0320457 -1.82350889 -2.367954 -5.1235089 1
+#> 6 1 -4.10 -2.55 1.3958157 -0.78447327 -2.704184 -3.3344733 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6960 -37200 5850
+#> initial value 998.131940
+#> iter 2 value 852.196628
+#> iter 3 value 848.637167
+#> iter 4 value 846.740171
+#> iter 5 value 797.987182
+#> iter 6 value 787.493886
+#> iter 7 value 785.601935
+#> iter 8 value 785.552487
+#> iter 9 value 785.552396
+#> iter 10 value 785.552379
+#> iter 11 value 785.552343
+#> iter 12 value 785.552305
+#> iter 12 value 785.552305
+#> iter 12 value 785.552305
+#> final value 785.552305
+#> converged
+#> This is Run number 103
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.2668078 0.008180767 0.7168078 -13.1918192 1
+#> 2 1 -3.10 -5.40 0.4833437 1.961413222 -2.6166563 -3.4385868 1
+#> 3 1 -14.60 -12.20 0.5724081 -1.038902570 -14.0275919 -13.2389026 2
+#> 4 1 -14.20 -0.55 2.5009925 0.449758831 -11.6990075 -0.1002412 2
+#> 5 1 -5.40 -3.30 -0.2783942 1.479049094 -5.6783942 -1.8209509 2
+#> 6 1 -4.10 -2.55 -0.3921660 0.920213566 -4.4921660 -1.6297864 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5880 -35250 5650
+#> initial value 998.131940
+#> iter 2 value 878.375582
+#> iter 3 value 874.212307
+#> iter 4 value 868.339425
+#> iter 5 value 815.931126
+#> iter 6 value 806.499188
+#> iter 7 value 804.557270
+#> iter 8 value 804.511171
+#> iter 9 value 804.511073
+#> iter 9 value 804.511065
+#> iter 9 value 804.511065
+#> final value 804.511065
+#> converged
+#> This is Run number 104
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.6372441 0.7604791 -1.187244073 -12.4395209 1
+#> 2 1 -3.10 -5.40 3.1038431 0.3466701 0.003843072 -5.0533299 1
+#> 3 1 -14.60 -12.20 1.0245636 -0.5202914 -13.575436383 -12.7202914 2
+#> 4 1 -14.20 -0.55 0.4468420 -0.2783596 -13.753158032 -0.8283596 2
+#> 5 1 -5.40 -3.30 1.5846047 -0.7294499 -3.815395323 -4.0294499 1
+#> 6 1 -4.10 -2.55 0.7266317 0.5286660 -3.373368347 -2.0213340 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -36350 5575
+#> initial value 998.131940
+#> iter 2 value 865.100668
+#> iter 3 value 860.777043
+#> iter 4 value 856.039456
+#> iter 5 value 806.300268
+#> iter 6 value 796.306744
+#> iter 7 value 794.313286
+#> iter 8 value 794.260953
+#> iter 9 value 794.260833
+#> iter 9 value 794.260822
+#> iter 9 value 794.260822
+#> final value 794.260822
+#> converged
+#> This is Run number 105
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.62668404 1.3702156 -2.176684 -11.829784 1
+#> 2 1 -3.10 -5.40 -0.12975849 1.2298738 -3.229758 -4.170126 1
+#> 3 1 -14.60 -12.20 -1.35935644 0.3604746 -15.959356 -11.839525 2
+#> 4 1 -14.20 -0.55 0.07118895 1.6447941 -14.128811 1.094794 2
+#> 5 1 -5.40 -3.30 0.85033101 1.6086740 -4.549669 -1.691326 2
+#> 6 1 -4.10 -2.55 -0.10800118 -0.6166891 -4.208001 -3.166689 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6980 -37775 5200
+#> initial value 998.131940
+#> iter 2 value 847.609730
+#> iter 3 value 842.918009
+#> iter 4 value 838.869117
+#> iter 5 value 793.686307
+#> iter 6 value 783.089151
+#> iter 7 value 781.024902
+#> iter 8 value 780.961959
+#> iter 9 value 780.961788
+#> iter 9 value 780.961782
+#> iter 9 value 780.961782
+#> final value 780.961782
+#> converged
+#> This is Run number 106
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 5.0624159 -1.0325833 4.512416 -14.2325833 1
+#> 2 1 -3.10 -5.40 1.5923150 0.3711500 -1.507685 -5.0288500 1
+#> 3 1 -14.60 -12.20 2.0081735 4.3062538 -12.591826 -7.8937462 2
+#> 4 1 -14.20 -0.55 0.8920776 1.0321599 -13.307922 0.4821599 2
+#> 5 1 -5.40 -3.30 -0.8638068 0.2008686 -6.263807 -3.0991314 2
+#> 6 1 -4.10 -2.55 -1.3390726 0.1598988 -5.439073 -2.3901012 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6720 -38025 6575
+#> initial value 998.131940
+#> iter 2 value 836.944846
+#> iter 3 value 830.964025
+#> iter 4 value 827.839155
+#> iter 5 value 780.971422
+#> iter 6 value 770.292224
+#> iter 7 value 768.663675
+#> iter 8 value 768.628144
+#> iter 9 value 768.628101
+#> iter 10 value 768.628065
+#> iter 11 value 768.628018
+#> iter 12 value 768.628003
+#> iter 12 value 768.628003
+#> iter 12 value 768.628003
+#> final value 768.628003
+#> converged
+#> This is Run number 107
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.1441828 1.4118489 -0.6941828 -11.788151 1
+#> 2 1 -3.10 -5.40 0.8596584 -0.4937231 -2.2403416 -5.893723 1
+#> 3 1 -14.60 -12.20 1.4893418 0.3400608 -13.1106582 -11.859939 2
+#> 4 1 -14.20 -0.55 0.6330411 4.0104077 -13.5669589 3.460408 2
+#> 5 1 -5.40 -3.30 2.6612552 -0.4043378 -2.7387448 -3.704338 1
+#> 6 1 -4.10 -2.55 -0.3926683 -1.1468468 -4.4926683 -3.696847 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6520 -37200 6475
+#> initial value 998.131940
+#> iter 2 value 849.013793
+#> iter 3 value 844.024151
+#> iter 4 value 840.837945
+#> iter 5 value 791.543003
+#> iter 6 value 781.112082
+#> iter 7 value 779.408159
+#> iter 8 value 779.370247
+#> iter 9 value 779.370211
+#> iter 9 value 779.370209
+#> iter 9 value 779.370209
+#> final value 779.370209
+#> converged
+#> This is Run number 108
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.54957356 -1.2610514 1.999574 -14.4610514 1
+#> 2 1 -3.10 -5.40 1.12970501 -0.8604095 -1.970295 -6.2604095 1
+#> 3 1 -14.60 -12.20 0.61879532 2.8283112 -13.981205 -9.3716888 2
+#> 4 1 -14.20 -0.55 0.08111534 0.3734563 -14.118885 -0.1765437 2
+#> 5 1 -5.40 -3.30 0.90827359 0.6781927 -4.491726 -2.6218073 2
+#> 6 1 -4.10 -2.55 1.84651637 2.9089385 -2.253484 0.3589385 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -36125 5750
+#> initial value 998.131940
+#> iter 2 value 867.039913
+#> iter 3 value 863.552851
+#> iter 4 value 860.071890
+#> iter 5 value 808.877647
+#> iter 6 value 798.946838
+#> iter 7 value 796.998444
+#> iter 8 value 796.949502
+#> iter 9 value 796.949396
+#> iter 10 value 796.949377
+#> iter 11 value 796.949348
+#> iter 12 value 796.949325
+#> iter 12 value 796.949325
+#> iter 12 value 796.949325
+#> final value 796.949325
+#> converged
+#> This is Run number 109
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.9438752 0.35898297 -1.493875 -12.8410170 1
+#> 2 1 -3.10 -5.40 -0.7324869 0.05214339 -3.832487 -5.3478566 1
+#> 3 1 -14.60 -12.20 0.3258005 0.12526822 -14.274199 -12.0747318 2
+#> 4 1 -14.20 -0.55 -0.3117984 0.71717250 -14.511798 0.1671725 2
+#> 5 1 -5.40 -3.30 0.7944007 1.38680871 -4.605599 -1.9131913 2
+#> 6 1 -4.10 -2.55 -0.4108781 -0.52130508 -4.510878 -3.0713051 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -35925 6150
+#> initial value 998.131940
+#> iter 2 value 867.311456
+#> iter 3 value 864.947871
+#> iter 4 value 863.423880
+#> iter 5 value 810.322415
+#> iter 6 value 800.390260
+#> iter 7 value 798.536730
+#> iter 8 value 798.493294
+#> iter 9 value 798.493205
+#> iter 10 value 798.493187
+#> iter 11 value 798.493139
+#> iter 12 value 798.493094
+#> iter 12 value 798.493094
+#> iter 12 value 798.493094
+#> final value 798.493094
+#> converged
+#> This is Run number 110
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.4895202 1.618107055 -0.06047983 -11.5818929 1
+#> 2 1 -3.10 -5.40 0.6830684 0.454278909 -2.41693160 -4.9457211 1
+#> 3 1 -14.60 -12.20 0.4985343 -0.007976485 -14.10146573 -12.2079765 2
+#> 4 1 -14.20 -0.55 -0.1344409 -0.878828074 -14.33444088 -1.4288281 2
+#> 5 1 -5.40 -3.30 -0.1704911 1.647075265 -5.57049108 -1.6529247 2
+#> 6 1 -4.10 -2.55 1.1140917 2.150440693 -2.98590831 -0.3995593 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6740 -37475 7300
+#> initial value 998.131940
+#> iter 2 value 840.061815
+#> iter 3 value 834.953684
+#> iter 4 value 833.839483
+#> iter 5 value 783.553282
+#> iter 6 value 773.042458
+#> iter 7 value 771.467124
+#> iter 8 value 771.439044
+#> iter 9 value 771.438947
+#> iter 10 value 771.438889
+#> iter 11 value 771.438836
+#> iter 11 value 771.438833
+#> iter 11 value 771.438833
+#> final value 771.438833
+#> converged
+#> This is Run number 111
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.48821473 1.42149753 -0.06178527 -11.7785025 1
+#> 2 1 -3.10 -5.40 0.62984315 0.82505576 -2.47015685 -4.5749442 1
+#> 3 1 -14.60 -12.20 0.75214479 -0.89872446 -13.84785521 -13.0987245 2
+#> 4 1 -14.20 -0.55 0.82802999 0.03421718 -13.37197001 -0.5157828 2
+#> 5 1 -5.40 -3.30 -0.91992118 1.26698198 -6.31992118 -2.0330180 2
+#> 6 1 -4.10 -2.55 0.03192044 1.40438318 -4.06807956 -1.1456168 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -37775 5950
+#> initial value 998.131940
+#> iter 2 value 844.089224
+#> iter 3 value 837.577428
+#> iter 4 value 831.779952
+#> iter 5 value 786.131450
+#> iter 6 value 775.556628
+#> iter 7 value 773.789445
+#> iter 8 value 773.744179
+#> iter 9 value 773.744143
+#> iter 9 value 773.744139
+#> iter 9 value 773.744139
+#> final value 773.744139
+#> converged
+#> This is Run number 112
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.4703375 0.7795623 -0.0796625 -12.420438 1
+#> 2 1 -3.10 -5.40 2.0229591 3.1261411 -1.0770409 -2.273859 1
+#> 3 1 -14.60 -12.20 0.6634758 0.5419221 -13.9365242 -11.658078 2
+#> 4 1 -14.20 -0.55 -0.5239207 2.3898967 -14.7239207 1.839897 2
+#> 5 1 -5.40 -3.30 1.5275020 -1.1457410 -3.8724980 -4.445741 1
+#> 6 1 -4.10 -2.55 1.5242035 1.0012487 -2.5757965 -1.548751 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7480 -37400 6125
+#> initial value 998.131940
+#> iter 2 value 847.426708
+#> iter 3 value 844.503958
+#> iter 4 value 844.349382
+#> iter 5 value 795.487971
+#> iter 6 value 784.817114
+#> iter 7 value 783.012092
+#> iter 8 value 782.966999
+#> iter 9 value 782.966919
+#> iter 10 value 782.966888
+#> iter 11 value 782.966844
+#> iter 12 value 782.966803
+#> iter 12 value 782.966803
+#> iter 12 value 782.966803
+#> final value 782.966803
+#> converged
+#> This is Run number 113
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.99197638 0.1611396 0.44197638 -13.0388604 1
+#> 2 1 -3.10 -5.40 3.11179005 2.3576831 0.01179005 -3.0423169 1
+#> 3 1 -14.60 -12.20 0.88231868 0.9632735 -13.71768132 -11.2367265 2
+#> 4 1 -14.20 -0.55 0.06503794 -0.4357277 -14.13496206 -0.9857277 2
+#> 5 1 -5.40 -3.30 -0.82647370 1.1515784 -6.22647370 -2.1484216 2
+#> 6 1 -4.10 -2.55 -0.47289628 1.9101671 -4.57289628 -0.6398329 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6040 -34675 6875
+#> initial value 998.131940
+#> iter 2 value 878.295281
+#> iter 3 value 876.996981
+#> iter 4 value 875.482247
+#> iter 5 value 817.643909
+#> iter 6 value 808.309376
+#> iter 7 value 806.647993
+#> iter 8 value 806.616923
+#> iter 9 value 806.616871
+#> iter 10 value 806.616842
+#> iter 11 value 806.616789
+#> iter 12 value 806.616757
+#> iter 12 value 806.616757
+#> iter 12 value 806.616757
+#> final value 806.616757
+#> converged
+#> This is Run number 114
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.26121553 0.1950558 -0.8112155 -13.00494416 1
+#> 2 1 -3.10 -5.40 0.30776268 1.9964375 -2.7922373 -3.40356246 1
+#> 3 1 -14.60 -12.20 -0.18931294 2.1097607 -14.7893129 -10.09023930 2
+#> 4 1 -14.20 -0.55 0.91156595 0.5137316 -13.2884341 -0.03626837 2
+#> 5 1 -5.40 -3.30 -0.15851326 0.2268327 -5.5585133 -3.07316726 2
+#> 6 1 -4.10 -2.55 0.04778655 -0.1474703 -4.0522134 -2.69747033 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6400 -38200 5800
+#> initial value 998.131940
+#> iter 2 value 838.929417
+#> iter 3 value 830.739788
+#> iter 4 value 822.417715
+#> iter 5 value 779.408878
+#> iter 6 value 768.781831
+#> iter 7 value 767.033514
+#> iter 8 value 766.985929
+#> iter 9 value 766.985898
+#> iter 9 value 766.985891
+#> iter 9 value 766.985887
+#> final value 766.985887
+#> converged
+#> This is Run number 115
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.2835563 1.370901702 -0.2664437 -11.8290983 1
+#> 2 1 -3.10 -5.40 -0.5062297 1.321439825 -3.6062297 -4.0785602 1
+#> 3 1 -14.60 -12.20 1.3414764 -0.174751520 -13.2585236 -12.3747515 2
+#> 4 1 -14.20 -0.55 2.2969767 -0.008904122 -11.9030233 -0.5589041 2
+#> 5 1 -5.40 -3.30 0.6818900 0.217562002 -4.7181100 -3.0824380 2
+#> 6 1 -4.10 -2.55 1.0214913 0.030308622 -3.0785087 -2.5196914 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6440 -35275 4925
+#> initial value 998.131940
+#> iter 2 value 881.422016
+#> iter 3 value 878.847787
+#> iter 4 value 875.236691
+#> iter 5 value 823.182449
+#> iter 6 value 813.880828
+#> iter 7 value 811.602552
+#> iter 8 value 811.541816
+#> iter 9 value 811.541612
+#> iter 9 value 811.541610
+#> iter 9 value 811.541610
+#> final value 811.541610
+#> converged
+#> This is Run number 116
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.7876673 0.6629265 1.237667 -12.5370735 1
+#> 2 1 -3.10 -5.40 1.2719215 1.6251585 -1.828078 -3.7748415 1
+#> 3 1 -14.60 -12.20 -0.3184970 1.3074020 -14.918497 -10.8925980 2
+#> 4 1 -14.20 -0.55 0.4359348 0.3663921 -13.764065 -0.1836079 2
+#> 5 1 -5.40 -3.30 2.5920864 -0.9846916 -2.807914 -4.2846916 1
+#> 6 1 -4.10 -2.55 1.0148651 3.5008745 -3.085135 0.9508745 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -35975 6650
+#> initial value 998.131940
+#> iter 2 value 863.903833
+#> iter 3 value 861.162111
+#> iter 4 value 859.675069
+#> iter 5 value 805.883040
+#> iter 6 value 795.898007
+#> iter 7 value 794.172002
+#> iter 8 value 794.135846
+#> iter 9 value 794.135793
+#> iter 10 value 794.135765
+#> iter 11 value 794.135711
+#> iter 12 value 794.135676
+#> iter 12 value 794.135676
+#> iter 12 value 794.135676
+#> final value 794.135676
+#> converged
+#> This is Run number 117
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.258293017 -0.8260081 -0.808293 -14.026008 1
+#> 2 1 -3.10 -5.40 0.144956658 1.6416443 -2.955043 -3.758356 1
+#> 3 1 -14.60 -12.20 0.346587232 -0.8957318 -14.253413 -13.095732 2
+#> 4 1 -14.20 -0.55 1.377651960 1.9381877 -12.822348 1.388188 2
+#> 5 1 -5.40 -3.30 -0.001626954 1.0174979 -5.401627 -2.282502 2
+#> 6 1 -4.10 -2.55 0.968436382 1.1207324 -3.131564 -1.429268 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6120 -35375 5900
+#> initial value 998.131940
+#> iter 2 value 875.574529
+#> iter 3 value 872.505205
+#> iter 4 value 868.739210
+#> iter 5 value 815.315078
+#> iter 6 value 805.756697
+#> iter 7 value 803.871935
+#> iter 8 value 803.828404
+#> iter 9 value 803.828317
+#> iter 10 value 803.828295
+#> iter 11 value 803.828262
+#> iter 12 value 803.828241
+#> iter 12 value 803.828241
+#> iter 12 value 803.828241
+#> final value 803.828241
+#> converged
+#> This is Run number 118
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.2917422 0.79957423 0.7417422 -12.40042577 1
+#> 2 1 -3.10 -5.40 0.2159123 -0.23867061 -2.8840877 -5.63867061 1
+#> 3 1 -14.60 -12.20 0.3534358 0.45962903 -14.2465642 -11.74037097 2
+#> 4 1 -14.20 -0.55 1.8140587 0.08644094 -12.3859413 -0.46355906 2
+#> 5 1 -5.40 -3.30 0.1031037 0.97868315 -5.2968963 -2.32131685 2
+#> 6 1 -4.10 -2.55 0.5627233 2.50656525 -3.5372767 -0.04343475 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7040 -36300 5050
+#> initial value 998.131940
+#> iter 2 value 867.842995
+#> iter 3 value 865.714554
+#> iter 4 value 864.057785
+#> iter 5 value 813.788036
+#> iter 6 value 803.890282
+#> iter 7 value 801.587781
+#> iter 8 value 801.520600
+#> iter 9 value 801.520352
+#> iter 9 value 801.520342
+#> iter 9 value 801.520342
+#> final value 801.520342
+#> converged
+#> This is Run number 119
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.1970205 1.6475968 -0.3529795 -11.552403 1
+#> 2 1 -3.10 -5.40 -1.2115509 -1.0297862 -4.3115509 -6.429786 1
+#> 3 1 -14.60 -12.20 -0.3190350 -0.2668385 -14.9190350 -12.466839 2
+#> 4 1 -14.20 -0.55 -1.2770336 1.6955384 -15.4770336 1.145538 2
+#> 5 1 -5.40 -3.30 -0.1659048 -0.7417034 -5.5659048 -4.041703 2
+#> 6 1 -4.10 -2.55 0.2422806 -0.3991996 -3.8577194 -2.949200 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -36875 5075
+#> initial value 998.131940
+#> iter 2 value 860.608738
+#> iter 3 value 855.877030
+#> iter 4 value 850.550899
+#> iter 5 value 803.418604
+#> iter 6 value 793.273989
+#> iter 7 value 791.085192
+#> iter 8 value 791.019613
+#> iter 9 value 791.019396
+#> iter 9 value 791.019396
+#> iter 9 value 791.019396
+#> final value 791.019396
+#> converged
+#> This is Run number 120
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.0213873438 1.7215055 -1.571387 -11.4784945 1
+#> 2 1 -3.10 -5.40 -0.0007803167 0.7745181 -3.100780 -4.6254819 1
+#> 3 1 -14.60 -12.20 -0.4616259265 1.3806582 -15.061626 -10.8193418 2
+#> 4 1 -14.20 -0.55 -0.8933699784 0.3749922 -15.093370 -0.1750078 2
+#> 5 1 -5.40 -3.30 3.7680564337 -0.9901512 -1.631944 -4.2901512 1
+#> 6 1 -4.10 -2.55 1.2898227702 0.7184945 -2.810177 -1.8315055 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -35825 5075
+#> initial value 998.131940
+#> iter 2 value 873.866443
+#> iter 3 value 871.767585
+#> iter 4 value 869.629481
+#> iter 5 value 818.179052
+#> iter 6 value 808.529453
+#> iter 7 value 806.261079
+#> iter 8 value 806.198066
+#> iter 9 value 806.197847
+#> iter 9 value 806.197836
+#> iter 9 value 806.197836
+#> final value 806.197836
+#> converged
+#> This is Run number 121
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.4453981 -0.47952892 0.8953981 -13.679529 1
+#> 2 1 -3.10 -5.40 -0.1361666 -0.06185457 -3.2361666 -5.461855 1
+#> 3 1 -14.60 -12.20 -0.4661038 0.36524208 -15.0661038 -11.834758 2
+#> 4 1 -14.20 -0.55 0.9744814 -0.01142696 -13.2255186 -0.561427 2
+#> 5 1 -5.40 -3.30 2.6858455 0.93034167 -2.7141545 -2.369658 2
+#> 6 1 -4.10 -2.55 0.9802541 -0.47188837 -3.1197459 -3.021888 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7060 -37175 5950
+#> initial value 998.131940
+#> iter 2 value 851.905498
+#> iter 3 value 848.651390
+#> iter 4 value 847.373862
+#> iter 5 value 798.214991
+#> iter 6 value 787.698839
+#> iter 7 value 785.828058
+#> iter 8 value 785.779984
+#> iter 9 value 785.779896
+#> iter 9 value 785.779884
+#> iter 9 value 785.779884
+#> final value 785.779884
+#> converged
+#> This is Run number 122
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 4.9084202 1.5070023 4.358420 -11.6929977 1
+#> 2 1 -3.10 -5.40 1.1716420 -0.1199290 -1.928358 -5.5199290 1
+#> 3 1 -14.60 -12.20 -0.3512513 0.2988406 -14.951251 -11.9011594 2
+#> 4 1 -14.20 -0.55 -0.4467806 1.4382965 -14.646781 0.8882965 2
+#> 5 1 -5.40 -3.30 1.8733005 0.8531553 -3.526700 -2.4468447 2
+#> 6 1 -4.10 -2.55 2.7589675 2.4405327 -1.341032 -0.1094673 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6860 -36425 5775
+#> initial value 998.131940
+#> iter 2 value 862.834947
+#> iter 3 value 860.256346
+#> iter 4 value 858.740367
+#> iter 5 value 807.674494
+#> iter 6 value 797.538006
+#> iter 7 value 795.566536
+#> iter 8 value 795.515330
+#> iter 9 value 795.515204
+#> iter 10 value 795.515182
+#> iter 11 value 795.515143
+#> iter 12 value 795.515107
+#> iter 12 value 795.515107
+#> iter 12 value 795.515107
+#> final value 795.515107
+#> converged
+#> This is Run number 123
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.2012975 0.1058175 1.651298 -13.0941825 1
+#> 2 1 -3.10 -5.40 -1.2515081 0.1583907 -4.351508 -5.2416093 1
+#> 3 1 -14.60 -12.20 0.3188797 -1.3551924 -14.281120 -13.5551924 2
+#> 4 1 -14.20 -0.55 -0.9049926 1.5362406 -15.104993 0.9862406 2
+#> 5 1 -5.40 -3.30 0.5216791 -0.1659521 -4.878321 -3.4659521 2
+#> 6 1 -4.10 -2.55 1.9772237 2.6834925 -2.122776 0.1334925 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6760 -37550 6525
+#> initial value 998.131940
+#> iter 2 value 843.825738
+#> iter 3 value 838.968100
+#> iter 4 value 836.721894
+#> iter 5 value 788.131647
+#> iter 6 value 777.537914
+#> iter 7 value 775.860286
+#> iter 8 value 775.823382
+#> iter 9 value 775.823342
+#> iter 10 value 775.823326
+#> iter 11 value 775.823273
+#> iter 12 value 775.823239
+#> iter 12 value 775.823239
+#> iter 12 value 775.823239
+#> final value 775.823239
+#> converged
+#> This is Run number 124
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.6169356 -1.3670766 -1.166936 -14.5670766 1
+#> 2 1 -3.10 -5.40 -0.3417644 4.5481042 -3.441764 -0.8518958 2
+#> 3 1 -14.60 -12.20 1.2387795 -0.4875499 -13.361220 -12.6875499 2
+#> 4 1 -14.20 -0.55 -0.6143058 0.1013598 -14.814306 -0.4486402 2
+#> 5 1 -5.40 -3.30 0.8287290 -0.1613953 -4.571271 -3.4613953 2
+#> 6 1 -4.10 -2.55 1.2982477 0.5988064 -2.801752 -1.9511936 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6280 -36075 6350
+#> initial value 998.131940
+#> iter 2 value 864.465331
+#> iter 3 value 860.886047
+#> iter 4 value 857.847459
+#> iter 5 value 805.326931
+#> iter 6 value 795.365469
+#> iter 7 value 793.590573
+#> iter 8 value 793.551198
+#> iter 9 value 793.551143
+#> iter 9 value 793.551131
+#> iter 9 value 793.551131
+#> final value 793.551131
+#> converged
+#> This is Run number 125
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.9683958 0.862947623 2.418396 -12.3370524 1
+#> 2 1 -3.10 -5.40 -0.4971216 0.002933914 -3.597122 -5.3970661 1
+#> 3 1 -14.60 -12.20 -0.4369105 -1.068231551 -15.036911 -13.2682316 2
+#> 4 1 -14.20 -0.55 -0.2447842 -0.282961574 -14.444784 -0.8329616 2
+#> 5 1 -5.40 -3.30 1.8655978 -0.312733375 -3.534402 -3.6127334 1
+#> 6 1 -4.10 -2.55 0.4146401 -0.686578852 -3.685360 -3.2365789 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6620 -35775 5850
+#> initial value 998.131940
+#> iter 2 value 870.771933
+#> iter 3 value 868.622566
+#> iter 4 value 866.930225
+#> iter 5 value 813.944045
+#> iter 6 value 804.133892
+#> iter 7 value 802.186127
+#> iter 8 value 802.138248
+#> iter 9 value 802.138131
+#> iter 10 value 802.138105
+#> iter 11 value 802.138063
+#> iter 12 value 802.138029
+#> iter 12 value 802.138029
+#> iter 12 value 802.138029
+#> final value 802.138029
+#> converged
+#> This is Run number 126
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.4155221 -0.04145355 -0.9655221 -13.2414536 1
+#> 2 1 -3.10 -5.40 0.7997304 0.53125410 -2.3002696 -4.8687459 1
+#> 3 1 -14.60 -12.20 -0.8186540 2.02119179 -15.4186540 -10.1788082 2
+#> 4 1 -14.20 -0.55 3.1051972 -0.42328468 -11.0948028 -0.9732847 2
+#> 5 1 -5.40 -3.30 -1.4194145 1.77799839 -6.8194145 -1.5220016 2
+#> 6 1 -4.10 -2.55 0.8424762 0.83878348 -3.2575238 -1.7112165 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 8040 -39050 5475
+#> initial value 998.131940
+#> iter 2 value 826.584761
+#> iter 3 value 822.877355
+#> iter 4 value 822.560134
+#> iter 5 value 779.828137
+#> iter 6 value 768.613095
+#> iter 7 value 766.796764
+#> iter 8 value 766.744007
+#> iter 9 value 766.743931
+#> iter 10 value 766.743909
+#> iter 11 value 766.743880
+#> iter 12 value 766.743846
+#> iter 12 value 766.743846
+#> iter 12 value 766.743846
+#> final value 766.743846
+#> converged
+#> This is Run number 127
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.004352858 -0.4406759 -0.5456471 -13.64067586 1
+#> 2 1 -3.10 -5.40 -0.016260560 3.2920360 -3.1162606 -2.10796400 2
+#> 3 1 -14.60 -12.20 -0.281850898 1.2900028 -14.8818509 -10.90999724 2
+#> 4 1 -14.20 -0.55 -0.095987795 1.0451764 -14.2959878 0.49517636 2
+#> 5 1 -5.40 -3.30 1.014622728 3.3736669 -4.3853773 0.07366686 2
+#> 6 1 -4.10 -2.55 2.734467489 0.9849663 -1.3655325 -1.56503375 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6100 -35500 6925
+#> initial value 998.131940
+#> iter 2 value 868.224007
+#> iter 3 value 865.446630
+#> iter 4 value 863.280954
+#> iter 5 value 807.817242
+#> iter 6 value 798.095635
+#> iter 7 value 796.426430
+#> iter 8 value 796.394473
+#> iter 8 value 796.394470
+#> final value 796.394470
+#> converged
+#> This is Run number 128
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.93147589 -0.6666445 -1.481476 -13.866645 1
+#> 2 1 -3.10 -5.40 0.06311187 2.0324295 -3.036888 -3.367571 1
+#> 3 1 -14.60 -12.20 1.35009725 -0.1971302 -13.249903 -12.397130 2
+#> 4 1 -14.20 -0.55 0.92898718 -0.6660135 -13.271013 -1.216014 2
+#> 5 1 -5.40 -3.30 1.95945296 -1.0809040 -3.440547 -4.380904 1
+#> 6 1 -4.10 -2.55 2.64233168 -0.4198240 -1.457668 -2.969824 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7020 -37350 5400
+#> initial value 998.131940
+#> iter 2 value 852.428974
+#> iter 3 value 848.728317
+#> iter 4 value 846.125561
+#> iter 5 value 798.759219
+#> iter 6 value 788.274771
+#> iter 7 value 786.230278
+#> iter 8 value 786.171198
+#> iter 9 value 786.171045
+#> iter 10 value 786.171031
+#> iter 11 value 786.171009
+#> iter 12 value 786.170983
+#> iter 12 value 786.170983
+#> iter 12 value 786.170983
+#> final value 786.170983
+#> converged
+#> This is Run number 129
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.0350207 2.2971976 0.4850207 -10.9028024 1
+#> 2 1 -3.10 -5.40 1.4400699 0.3360683 -1.6599301 -5.0639317 1
+#> 3 1 -14.60 -12.20 -1.2071056 1.2554627 -15.8071056 -10.9445373 2
+#> 4 1 -14.20 -0.55 0.9727764 0.2223873 -13.2272236 -0.3276127 2
+#> 5 1 -5.40 -3.30 0.6506277 -0.7816784 -4.7493723 -4.0816784 2
+#> 6 1 -4.10 -2.55 2.8263733 0.1651720 -1.2736267 -2.3848280 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7160 -38600 5325
+#> initial value 998.131940
+#> iter 2 value 835.129575
+#> iter 3 value 829.680100
+#> iter 4 value 825.584753
+#> iter 5 value 782.819260
+#> iter 6 value 771.909580
+#> iter 7 value 770.018705
+#> iter 8 value 769.962006
+#> iter 9 value 769.961915
+#> iter 9 value 769.961907
+#> iter 9 value 769.961907
+#> final value 769.961907
+#> converged
+#> This is Run number 130
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.2799944 1.9656325 -0.2700056 -11.234368 1
+#> 2 1 -3.10 -5.40 0.8522748 0.3745742 -2.2477252 -5.025426 1
+#> 3 1 -14.60 -12.20 -0.3725867 0.6602070 -14.9725867 -11.539793 2
+#> 4 1 -14.20 -0.55 2.9537903 -0.4869293 -11.2462097 -1.036929 2
+#> 5 1 -5.40 -3.30 -0.6537146 -0.3892197 -6.0537146 -3.689220 2
+#> 6 1 -4.10 -2.55 3.5833104 -0.7035632 -0.5166896 -3.253563 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6760 -36425 5675
+#> initial value 998.131940
+#> iter 2 value 863.428699
+#> iter 3 value 860.541140
+#> iter 4 value 858.400144
+#> iter 5 value 807.691318
+#> iter 6 value 797.588894
+#> iter 7 value 795.593744
+#> iter 8 value 795.541342
+#> iter 9 value 795.541213
+#> iter 10 value 795.541192
+#> iter 11 value 795.541158
+#> iter 12 value 795.541128
+#> iter 12 value 795.541128
+#> iter 12 value 795.541128
+#> final value 795.541128
+#> converged
+#> This is Run number 131
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.9983062 -0.3670797 -1.548306 -13.567080 1
+#> 2 1 -3.10 -5.40 0.4521083 0.2036014 -2.647892 -5.196399 1
+#> 3 1 -14.60 -12.20 0.4943178 0.7335683 -14.105682 -11.466432 2
+#> 4 1 -14.20 -0.55 1.4999248 -0.8689211 -12.700075 -1.418921 2
+#> 5 1 -5.40 -3.30 -0.1511645 0.5241645 -5.551165 -2.775836 2
+#> 6 1 -4.10 -2.55 -0.5612329 0.7985882 -4.661233 -1.751412 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6880 -36325 5300
+#> initial value 998.131940
+#> iter 2 value 866.483027
+#> iter 3 value 863.971974
+#> iter 4 value 861.932924
+#> iter 5 value 811.488943
+#> iter 6 value 801.511269
+#> iter 7 value 799.348448
+#> iter 8 value 799.287927
+#> iter 9 value 799.287736
+#> iter 10 value 799.287720
+#> iter 11 value 799.287694
+#> iter 12 value 799.287663
+#> iter 12 value 799.287663
+#> iter 12 value 799.287663
+#> final value 799.287663
+#> converged
+#> This is Run number 132
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.61965267 -0.1950728 0.06965267 -13.395073 1
+#> 2 1 -3.10 -5.40 5.04046224 -1.1639548 1.94046224 -6.563955 1
+#> 3 1 -14.60 -12.20 0.01862816 0.2308761 -14.58137184 -11.969124 2
+#> 4 1 -14.20 -0.55 0.63250235 4.7133153 -13.56749765 4.163315 2
+#> 5 1 -5.40 -3.30 2.61009225 1.5499945 -2.78990775 -1.750005 2
+#> 6 1 -4.10 -2.55 -1.12083107 0.7593129 -5.22083107 -1.790687 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6960 -35200 6150
+#> initial value 998.131940
+#> iter 2 value 875.813994
+#> iter 3 value 875.054981
+#> iter 4 value 874.967078
+#> iter 5 value 819.678073
+#> iter 6 value 810.105574
+#> iter 7 value 808.233590
+#> iter 8 value 808.189880
+#> iter 9 value 808.189755
+#> iter 10 value 808.189719
+#> iter 11 value 808.189671
+#> iter 12 value 808.189632
+#> iter 12 value 808.189632
+#> iter 12 value 808.189632
+#> final value 808.189632
+#> converged
+#> This is Run number 133
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.24121290 -0.255099219 2.6912129 -13.45509922 1
+#> 2 1 -3.10 -5.40 -0.33708529 1.254773193 -3.4370853 -4.14522681 1
+#> 3 1 -14.60 -12.20 -0.41176461 -0.006367495 -15.0117646 -12.20636749 2
+#> 4 1 -14.20 -0.55 0.04973029 0.611697428 -14.1502697 0.06169743 2
+#> 5 1 -5.40 -3.30 -0.65228670 1.873410626 -6.0522867 -1.42658937 2
+#> 6 1 -4.10 -2.55 3.93403336 -1.091020120 -0.1659666 -3.64102012 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -36325 5150
+#> initial value 998.131940
+#> iter 2 value 867.228567
+#> iter 3 value 864.516774
+#> iter 4 value 862.002667
+#> iter 5 value 811.972034
+#> iter 6 value 802.040558
+#> iter 7 value 799.817614
+#> iter 8 value 799.754125
+#> iter 9 value 799.753913
+#> iter 9 value 799.753903
+#> iter 9 value 799.753903
+#> final value 799.753903
+#> converged
+#> This is Run number 134
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.04028909 -0.09143735 0.4902891 -13.2914374 1
+#> 2 1 -3.10 -5.40 -0.08265461 0.98349191 -3.1826546 -4.4165081 1
+#> 3 1 -14.60 -12.20 2.66349687 0.57250978 -11.9365031 -11.6274902 2
+#> 4 1 -14.20 -0.55 0.38603897 -0.16308366 -13.8139610 -0.7130837 2
+#> 5 1 -5.40 -3.30 -0.05195166 0.04551729 -5.4519517 -3.2544827 2
+#> 6 1 -4.10 -2.55 2.45463056 1.09649131 -1.6453694 -1.4535087 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7300 -37275 5575
+#> initial value 998.131940
+#> iter 2 value 852.277978
+#> iter 3 value 849.474496
+#> iter 4 value 848.517368
+#> iter 5 value 800.133614
+#> iter 6 value 789.603088
+#> iter 7 value 787.587255
+#> iter 8 value 787.530201
+#> iter 9 value 787.530050
+#> iter 10 value 787.530035
+#> iter 11 value 787.530002
+#> iter 12 value 787.529960
+#> iter 12 value 787.529960
+#> iter 12 value 787.529960
+#> final value 787.529960
+#> converged
+#> This is Run number 135
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.5243167 -0.49448707 1.9743167 -13.6944871 1
+#> 2 1 -3.10 -5.40 2.4356483 2.80506315 -0.6643517 -2.5949368 1
+#> 3 1 -14.60 -12.20 -0.8661444 0.36360302 -15.4661444 -11.8363970 2
+#> 4 1 -14.20 -0.55 4.7103643 -0.16938606 -9.4896357 -0.7193861 2
+#> 5 1 -5.40 -3.30 1.0527973 1.30438464 -4.3472027 -1.9956154 2
+#> 6 1 -4.10 -2.55 0.8602860 -0.01910393 -3.2397140 -2.5691039 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6740 -37625 5875
+#> initial value 998.131940
+#> iter 2 value 846.446838
+#> iter 3 value 841.327767
+#> iter 4 value 837.506066
+#> iter 5 value 790.714893
+#> iter 6 value 780.120914
+#> iter 7 value 778.300144
+#> iter 8 value 778.252955
+#> iter 9 value 778.252899
+#> iter 9 value 778.252887
+#> iter 9 value 778.252887
+#> final value 778.252887
+#> converged
+#> This is Run number 136
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.01105716 0.8341730 -0.5610572 -12.3658270 1
+#> 2 1 -3.10 -5.40 0.04932407 0.8372689 -3.0506759 -4.5627311 1
+#> 3 1 -14.60 -12.20 -0.19700042 -0.2034370 -14.7970004 -12.4034370 2
+#> 4 1 -14.20 -0.55 0.42918442 -0.1754201 -13.7708156 -0.7254201 2
+#> 5 1 -5.40 -3.30 -1.08151022 0.6969772 -6.4815102 -2.6030228 2
+#> 6 1 -4.10 -2.55 2.21586831 1.2755115 -1.8841317 -1.2744885 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -37825 5925
+#> initial value 998.131940
+#> iter 2 value 843.553907
+#> iter 3 value 836.492038
+#> iter 4 value 829.791808
+#> iter 5 value 784.717639
+#> iter 6 value 774.155461
+#> iter 7 value 772.392363
+#> iter 8 value 772.346669
+#> iter 9 value 772.346634
+#> iter 9 value 772.346631
+#> iter 9 value 772.346631
+#> final value 772.346631
+#> converged
+#> This is Run number 137
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.70308260 -0.5636452 -1.253083 -13.763645 1
+#> 2 1 -3.10 -5.40 5.16442167 0.6968620 2.064422 -4.703138 1
+#> 3 1 -14.60 -12.20 -0.60977824 -0.1012917 -15.209778 -12.301292 2
+#> 4 1 -14.20 -0.55 3.24980492 1.6178302 -10.950195 1.067830 2
+#> 5 1 -5.40 -3.30 0.44584258 2.0849306 -4.954157 -1.215069 2
+#> 6 1 -4.10 -2.55 -0.04605961 -0.1870332 -4.146060 -2.737033 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -36000 6250
+#> initial value 998.131940
+#> iter 2 value 865.999012
+#> iter 3 value 862.054926
+#> iter 4 value 858.170794
+#> iter 5 value 805.920298
+#> iter 6 value 796.022990
+#> iter 7 value 794.231430
+#> iter 8 value 794.191193
+#> iter 9 value 794.191136
+#> iter 10 value 794.191118
+#> iter 11 value 794.191081
+#> iter 12 value 794.191053
+#> iter 12 value 794.191053
+#> iter 12 value 794.191053
+#> final value 794.191053
+#> converged
+#> This is Run number 138
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.3564967 0.4625183 0.8064967 -12.73748165 1
+#> 2 1 -3.10 -5.40 1.0322293 2.0518095 -2.0677707 -3.34819047 1
+#> 3 1 -14.60 -12.20 0.1211711 0.8337960 -14.4788289 -11.36620403 2
+#> 4 1 -14.20 -0.55 0.8816594 0.4955366 -13.3183406 -0.05446338 2
+#> 5 1 -5.40 -3.30 0.6677161 -2.1027891 -4.7322839 -5.40278907 1
+#> 6 1 -4.10 -2.55 1.5026217 -0.2540588 -2.5973783 -2.80405877 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6900 -37000 6050
+#> initial value 998.131940
+#> iter 2 value 853.837049
+#> iter 3 value 850.447406
+#> iter 4 value 848.833965
+#> iter 5 value 799.082012
+#> iter 6 value 788.651884
+#> iter 7 value 786.807571
+#> iter 8 value 786.761691
+#> iter 9 value 786.761613
+#> iter 9 value 786.761603
+#> iter 9 value 786.761603
+#> final value 786.761603
+#> converged
+#> This is Run number 139
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.25741035 0.4053828 -0.8074104 -12.7946172 1
+#> 2 1 -3.10 -5.40 5.99124367 1.0486595 2.8912437 -4.3513405 1
+#> 3 1 -14.60 -12.20 3.83056673 0.3717909 -10.7694333 -11.8282091 1
+#> 4 1 -14.20 -0.55 0.43192788 -0.1818204 -13.7680721 -0.7318204 2
+#> 5 1 -5.40 -3.30 -1.22525354 0.7631768 -6.6252535 -2.5368232 2
+#> 6 1 -4.10 -2.55 -0.02348668 0.3158118 -4.1234867 -2.2341882 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -36425 6100
+#> initial value 998.131940
+#> iter 2 value 861.326485
+#> iter 3 value 857.737542
+#> iter 4 value 854.953304
+#> iter 5 value 803.783129
+#> iter 6 value 793.656861
+#> iter 7 value 791.818619
+#> iter 8 value 791.774764
+#> iter 9 value 791.774692
+#> iter 10 value 791.774673
+#> iter 11 value 791.774633
+#> iter 12 value 791.774600
+#> iter 12 value 791.774600
+#> iter 12 value 791.774600
+#> final value 791.774600
+#> converged
+#> This is Run number 140
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.11821684 3.3335800 0.5682168 -9.866420 1
+#> 2 1 -3.10 -5.40 -0.22701880 0.4710148 -3.3270188 -4.928985 1
+#> 3 1 -14.60 -12.20 -0.31345245 2.6258519 -14.9134524 -9.574148 2
+#> 4 1 -14.20 -0.55 -1.11688631 3.1828280 -15.3168863 2.632828 2
+#> 5 1 -5.40 -3.30 1.97146097 0.7784067 -3.4285390 -2.521593 2
+#> 6 1 -4.10 -2.55 0.03606356 -0.4782386 -4.0639364 -3.028239 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5920 -36650 7950
+#> initial value 998.131940
+#> iter 2 value 847.008593
+#> iter 3 value 840.947440
+#> iter 4 value 837.850269
+#> iter 5 value 784.381259
+#> iter 6 value 774.384269
+#> iter 7 value 772.805039
+#> iter 8 value 772.778447
+#> iter 9 value 772.778355
+#> iter 10 value 772.778320
+#> iter 11 value 772.778292
+#> iter 11 value 772.778288
+#> iter 11 value 772.778288
+#> final value 772.778288
+#> converged
+#> This is Run number 141
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.3688783 2.19739376 -0.9188783 -11.002606 1
+#> 2 1 -3.10 -5.40 0.6618690 0.77726032 -2.4381310 -4.622740 1
+#> 3 1 -14.60 -12.20 1.6739780 -1.19895993 -12.9260220 -13.398960 1
+#> 4 1 -14.20 -0.55 1.8429383 2.74825124 -12.3570617 2.198251 2
+#> 5 1 -5.40 -3.30 0.3066316 0.07843029 -5.0933684 -3.221570 2
+#> 6 1 -4.10 -2.55 1.9594571 -0.39533655 -2.1405429 -2.945337 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -38375 6600
+#> initial value 998.131940
+#> iter 2 value 831.727114
+#> iter 3 value 825.450644
+#> iter 4 value 822.535700
+#> iter 5 value 776.690463
+#> iter 6 value 765.925671
+#> iter 7 value 764.327872
+#> iter 8 value 764.293286
+#> iter 9 value 764.293219
+#> iter 10 value 764.293168
+#> iter 11 value 764.293120
+#> iter 11 value 764.293116
+#> iter 11 value 764.293116
+#> final value 764.293116
+#> converged
+#> This is Run number 142
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.25701507 0.58023700 -0.2929849 -12.61976300 1
+#> 2 1 -3.10 -5.40 -0.88717839 2.70407970 -3.9871784 -2.69592030 2
+#> 3 1 -14.60 -12.20 -0.04426961 0.59204833 -14.6442696 -11.60795167 2
+#> 4 1 -14.20 -0.55 0.27185636 0.51125007 -13.9281436 -0.03874993 2
+#> 5 1 -5.40 -3.30 2.44111568 0.01705813 -2.9588843 -3.28294187 1
+#> 6 1 -4.10 -2.55 0.32839760 -0.07620751 -3.7716024 -2.62620751 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -36850 6350
+#> initial value 998.131940
+#> iter 2 value 854.188087
+#> iter 3 value 850.869189
+#> iter 4 value 849.589877
+#> iter 5 value 798.835533
+#> iter 6 value 788.445691
+#> iter 7 value 786.674318
+#> iter 8 value 786.633404
+#> iter 9 value 786.633345
+#> iter 10 value 786.633317
+#> iter 11 value 786.633267
+#> iter 12 value 786.633230
+#> iter 12 value 786.633230
+#> iter 12 value 786.633230
+#> final value 786.633230
+#> converged
+#> This is Run number 143
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.5461316 1.01923131 -0.003868356 -12.1807687 1
+#> 2 1 -3.10 -5.40 -0.9051786 0.06571833 -4.005178564 -5.3342817 1
+#> 3 1 -14.60 -12.20 0.6924690 -1.22951576 -13.907531024 -13.4295158 2
+#> 4 1 -14.20 -0.55 -0.2254366 -0.36339121 -14.425436635 -0.9133912 2
+#> 5 1 -5.40 -3.30 3.2789358 1.49135250 -2.121064231 -1.8086475 2
+#> 6 1 -4.10 -2.55 0.5043155 -0.93881387 -3.595684455 -3.4888139 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6080 -35950 6250
+#> initial value 998.131940
+#> iter 2 value 866.636791
+#> iter 3 value 862.462449
+#> iter 4 value 858.116269
+#> iter 5 value 805.903482
+#> iter 6 value 796.042441
+#> iter 7 value 794.254992
+#> iter 8 value 794.215043
+#> iter 9 value 794.214988
+#> iter 10 value 794.214971
+#> iter 11 value 794.214936
+#> iter 12 value 794.214911
+#> iter 12 value 794.214911
+#> iter 12 value 794.214911
+#> final value 794.214911
+#> converged
+#> This is Run number 144
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.8696055 -1.1626581 2.319605 -14.3626581 1
+#> 2 1 -3.10 -5.40 -0.7541940 5.1255370 -3.854194 -0.2744630 2
+#> 3 1 -14.60 -12.20 0.4226706 1.7571998 -14.177329 -10.4428002 2
+#> 4 1 -14.20 -0.55 0.3717247 0.2060559 -13.828275 -0.3439441 2
+#> 5 1 -5.40 -3.30 0.8270661 1.0432857 -4.572934 -2.2567143 2
+#> 6 1 -4.10 -2.55 0.7583447 -0.2517304 -3.341655 -2.8017304 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6180 -34125 5200
+#> initial value 998.131940
+#> iter 2 value 893.453162
+#> iter 3 value 892.192599
+#> iter 4 value 889.478162
+#> iter 5 value 833.737650
+#> iter 6 value 824.993911
+#> iter 7 value 822.944400
+#> iter 8 value 822.897868
+#> iter 9 value 822.897742
+#> iter 10 value 822.897723
+#> iter 11 value 822.897696
+#> iter 12 value 822.897675
+#> iter 12 value 822.897675
+#> iter 12 value 822.897675
+#> final value 822.897675
+#> converged
+#> This is Run number 145
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.2851323 0.9446975 -0.8351323 -12.255303 1
+#> 2 1 -3.10 -5.40 1.1544719 0.1377502 -1.9455281 -5.262250 1
+#> 3 1 -14.60 -12.20 0.1757897 0.1189227 -14.4242103 -12.081077 2
+#> 4 1 -14.20 -0.55 1.5723075 -0.9129793 -12.6276925 -1.462979 2
+#> 5 1 -5.40 -3.30 -1.0201070 0.4048521 -6.4201070 -2.895148 2
+#> 6 1 -4.10 -2.55 0.8174122 0.7824634 -3.2825878 -1.767537 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7420 -37075 4925
+#> initial value 998.131940
+#> iter 2 value 857.944841
+#> iter 3 value 855.676486
+#> iter 4 value 854.538189
+#> iter 5 value 806.525042
+#> iter 6 value 796.266128
+#> iter 7 value 793.903810
+#> iter 8 value 793.829015
+#> iter 9 value 793.828711
+#> iter 9 value 793.828705
+#> iter 9 value 793.828705
+#> final value 793.828705
+#> converged
+#> This is Run number 146
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.7461188 0.7404469 -1.296119 -12.4595531 1
+#> 2 1 -3.10 -5.40 -1.3409378 0.8253670 -4.440938 -4.5746330 1
+#> 3 1 -14.60 -12.20 0.7070241 -0.8542990 -13.892976 -13.0542990 2
+#> 4 1 -14.20 -0.55 -0.2960245 -0.5858035 -14.496025 -1.1358035 2
+#> 5 1 -5.40 -3.30 2.4656523 1.6333945 -2.934348 -1.6666055 2
+#> 6 1 -4.10 -2.55 0.4611995 3.4468518 -3.638801 0.8968518 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7460 -38475 6225
+#> initial value 998.131940
+#> iter 2 value 831.849224
+#> iter 3 value 827.360299
+#> iter 4 value 826.604751
+#> iter 5 value 781.042892
+#> iter 6 value 770.046149
+#> iter 7 value 768.381761
+#> iter 8 value 768.342784
+#> iter 9 value 768.342738
+#> iter 10 value 768.342715
+#> iter 11 value 768.342659
+#> iter 12 value 768.342618
+#> iter 12 value 768.342618
+#> iter 12 value 768.342618
+#> final value 768.342618
+#> converged
+#> This is Run number 147
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.1996774 -0.1139608 -0.3503226 -13.313961 1
+#> 2 1 -3.10 -5.40 2.6182905 1.4352772 -0.4817095 -3.964723 1
+#> 3 1 -14.60 -12.20 1.7214160 1.0003790 -12.8785840 -11.199621 2
+#> 4 1 -14.20 -0.55 1.6502914 -0.8426590 -12.5497086 -1.392659 2
+#> 5 1 -5.40 -3.30 0.9802141 0.5315024 -4.4197859 -2.768498 2
+#> 6 1 -4.10 -2.55 -0.3742015 1.1501259 -4.4742015 -1.399874 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6660 -36025 7150
+#> initial value 998.131940
+#> iter 2 value 860.079376
+#> iter 3 value 857.557908
+#> iter 4 value 857.164474
+#> iter 5 value 802.568674
+#> iter 6 value 792.484792
+#> iter 7 value 790.847788
+#> iter 8 value 790.817601
+#> iter 9 value 790.817585
+#> iter 10 value 790.817566
+#> iter 11 value 790.817511
+#> iter 12 value 790.817439
+#> iter 12 value 790.817439
+#> iter 12 value 790.817439
+#> final value 790.817439
+#> converged
+#> This is Run number 148
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.7876935 -0.3032079 0.2376935 -13.503208 1
+#> 2 1 -3.10 -5.40 -0.5755507 -0.4948218 -3.6755507 -5.894822 1
+#> 3 1 -14.60 -12.20 0.6826174 2.8102543 -13.9173826 -9.389746 2
+#> 4 1 -14.20 -0.55 4.2352937 1.9578420 -9.9647063 1.407842 2
+#> 5 1 -5.40 -3.30 0.6785231 0.5858465 -4.7214769 -2.714154 2
+#> 6 1 -4.10 -2.55 -0.9002395 0.1450818 -5.0002395 -2.404918 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -37800 6100
+#> initial value 998.131940
+#> iter 2 value 842.890837
+#> iter 3 value 836.772207
+#> iter 4 value 831.978477
+#> iter 5 value 785.758983
+#> iter 6 value 775.151298
+#> iter 7 value 773.418191
+#> iter 8 value 773.375512
+#> iter 9 value 773.375484
+#> iter 10 value 773.375470
+#> iter 11 value 773.375442
+#> iter 12 value 773.375420
+#> iter 12 value 773.375420
+#> iter 12 value 773.375420
+#> final value 773.375420
+#> converged
+#> This is Run number 149
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.78376713 -0.2911807 0.2337671 -13.4911807 1
+#> 2 1 -3.10 -5.40 0.35696751 -0.1206482 -2.7430325 -5.5206482 1
+#> 3 1 -14.60 -12.20 -0.06969945 -0.2573338 -14.6696994 -12.4573338 2
+#> 4 1 -14.20 -0.55 -0.53240547 0.3613679 -14.7324055 -0.1886321 2
+#> 5 1 -5.40 -3.30 3.22674162 0.5419758 -2.1732584 -2.7580242 1
+#> 6 1 -4.10 -2.55 0.49289538 1.2477160 -3.6071046 -1.3022840 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6280 -34575 5325
+#> initial value 998.131940
+#> iter 2 value 887.785405
+#> iter 3 value 886.240943
+#> iter 4 value 883.619958
+#> iter 5 value 828.696778
+#> iter 6 value 819.667716
+#> iter 7 value 817.610934
+#> iter 8 value 817.562402
+#> iter 9 value 817.562267
+#> iter 10 value 817.562247
+#> iter 11 value 817.562217
+#> iter 12 value 817.562194
+#> iter 12 value 817.562194
+#> iter 12 value 817.562194
+#> final value 817.562194
+#> converged
+#> This is Run number 150
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.4827529 1.663345 0.9327529 -11.536655 1
+#> 2 1 -3.10 -5.40 1.4624753 1.176314 -1.6375247 -4.223686 1
+#> 3 1 -14.60 -12.20 1.7734748 -0.391327 -12.8265252 -12.591327 2
+#> 4 1 -14.20 -0.55 2.9152607 3.804608 -11.2847393 3.254608 2
+#> 5 1 -5.40 -3.30 -1.1555053 1.202072 -6.5555053 -2.097928 2
+#> 6 1 -4.10 -2.55 -0.5556288 3.332954 -4.6556288 0.782954 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6700 -35625 5025
+#> initial value 998.131940
+#> iter 2 value 876.615219
+#> iter 3 value 874.479605
+#> iter 4 value 872.020402
+#> iter 5 value 820.234904
+#> iter 6 value 810.710151
+#> iter 7 value 808.433572
+#> iter 8 value 808.371241
+#> iter 9 value 808.371027
+#> iter 9 value 808.371017
+#> iter 9 value 808.371017
+#> final value 808.371017
+#> converged
+#> This is Run number 151
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.5203410 -0.10120416 -1.070341 -13.3012042 1
+#> 2 1 -3.10 -5.40 0.3638040 0.93799164 -2.736196 -4.4620084 1
+#> 3 1 -14.60 -12.20 0.3776672 0.05759744 -14.222333 -12.1424026 2
+#> 4 1 -14.20 -0.55 0.6885427 -0.94702233 -13.511457 -1.4970223 2
+#> 5 1 -5.40 -3.30 1.2594943 0.22103623 -4.140506 -3.0789638 2
+#> 6 1 -4.10 -2.55 0.4048844 1.99343581 -3.695116 -0.5565642 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7460 -38700 5200
+#> initial value 998.131940
+#> iter 2 value 833.960019
+#> iter 3 value 829.454679
+#> iter 4 value 826.850058
+#> iter 5 value 784.009587
+#> iter 6 value 773.019765
+#> iter 7 value 771.068935
+#> iter 8 value 771.008428
+#> iter 9 value 771.008304
+#> iter 9 value 771.008295
+#> iter 9 value 771.008295
+#> final value 771.008295
+#> converged
+#> This is Run number 152
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.57090002 -0.76006385 1.020900 -13.9600639 1
+#> 2 1 -3.10 -5.40 8.75508236 0.00714076 5.655082 -5.3928592 1
+#> 3 1 -14.60 -12.20 -0.34228836 -0.30263007 -14.942288 -12.5026301 2
+#> 4 1 -14.20 -0.55 0.69218864 0.90694680 -13.507811 0.3569468 2
+#> 5 1 -5.40 -3.30 0.36017574 2.49964138 -5.039824 -0.8003586 2
+#> 6 1 -4.10 -2.55 0.06690711 0.10387992 -4.033093 -2.4461201 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7620 -37650 6575
+#> initial value 998.131940
+#> iter 2 value 841.213815
+#> iter 3 value 837.664457
+#> iter 4 value 837.361545
+#> iter 5 value 784.046055
+#> iter 6 value 777.093115
+#> iter 7 value 776.708796
+#> iter 8 value 776.680343
+#> iter 9 value 776.680300
+#> iter 9 value 776.680288
+#> iter 9 value 776.680288
+#> final value 776.680288
+#> converged
+#> This is Run number 153
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.2413562 1.0230826 1.6913562 -12.176917 1
+#> 2 1 -3.10 -5.40 2.8731596 2.1012617 -0.2268404 -3.298738 1
+#> 3 1 -14.60 -12.20 1.8352728 1.3968337 -12.7647272 -10.803166 2
+#> 4 1 -14.20 -0.55 0.3469918 -1.2084200 -13.8530082 -1.758420 2
+#> 5 1 -5.40 -3.30 1.5515718 -0.1631828 -3.8484282 -3.463183 2
+#> 6 1 -4.10 -2.55 -0.4327455 0.1453351 -4.5327455 -2.404665 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6720 -37150 5550
+#> initial value 998.131940
+#> iter 2 value 854.595284
+#> iter 3 value 850.200495
+#> iter 4 value 846.386042
+#> iter 5 value 798.654691
+#> iter 6 value 788.271739
+#> iter 7 value 786.295138
+#> iter 8 value 786.240605
+#> iter 9 value 786.240486
+#> iter 10 value 786.240473
+#> iter 11 value 786.240453
+#> iter 12 value 786.240431
+#> iter 12 value 786.240431
+#> iter 12 value 786.240431
+#> final value 786.240431
+#> converged
+#> This is Run number 154
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.4799782 1.8678493 -1.029978 -11.332151 1
+#> 2 1 -3.10 -5.40 -0.7207945 -0.2483910 -3.820794 -5.648391 1
+#> 3 1 -14.60 -12.20 1.8022028 -0.4063768 -12.797797 -12.606377 2
+#> 4 1 -14.20 -0.55 0.3653153 -0.8645092 -13.834685 -1.414509 2
+#> 5 1 -5.40 -3.30 2.4374656 5.0977176 -2.962534 1.797718 2
+#> 6 1 -4.10 -2.55 -0.7617558 -0.1469219 -4.861756 -2.696922 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6620 -38250 6450
+#> initial value 998.131940
+#> iter 2 value 834.537341
+#> iter 3 value 827.648079
+#> iter 4 value 823.109794
+#> iter 5 value 777.670215
+#> iter 6 value 766.980586
+#> iter 7 value 765.357030
+#> iter 8 value 765.320023
+#> iter 9 value 765.319985
+#> iter 10 value 765.319954
+#> iter 11 value 765.319918
+#> iter 11 value 765.319908
+#> iter 11 value 765.319908
+#> final value 765.319908
+#> converged
+#> This is Run number 155
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.78574162 3.39916638 1.235742 -9.8008336 1
+#> 2 1 -3.10 -5.40 0.04898344 0.47205078 -3.051017 -4.9279492 1
+#> 3 1 -14.60 -12.20 -1.70182206 -0.01094297 -16.301822 -12.2109430 2
+#> 4 1 -14.20 -0.55 -0.82963514 1.05557476 -15.029635 0.5055748 2
+#> 5 1 -5.40 -3.30 0.27934689 -0.41983761 -5.120653 -3.7198376 2
+#> 6 1 -4.10 -2.55 -1.37499417 0.12345214 -5.474994 -2.4265479 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7040 -37450 5950
+#> initial value 998.131940
+#> iter 2 value 848.210284
+#> iter 3 value 844.457574
+#> iter 4 value 842.779210
+#> iter 5 value 794.577063
+#> iter 6 value 783.964476
+#> iter 7 value 782.123613
+#> iter 8 value 782.076381
+#> iter 9 value 782.076308
+#> iter 9 value 782.076299
+#> iter 9 value 782.076299
+#> final value 782.076299
+#> converged
+#> This is Run number 156
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.56926560 1.8837654 0.0192656 -11.3162346 1
+#> 2 1 -3.10 -5.40 0.33165859 0.1455418 -2.7683414 -5.2544582 1
+#> 3 1 -14.60 -12.20 -0.54086671 -0.5755894 -15.1408667 -12.7755894 2
+#> 4 1 -14.20 -0.55 0.09668544 -0.1546388 -14.1033146 -0.7046388 2
+#> 5 1 -5.40 -3.30 0.28026040 -0.7484327 -5.1197396 -4.0484327 2
+#> 6 1 -4.10 -2.55 0.78798338 -1.1693809 -3.3120166 -3.7193809 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -37050 5450
+#> initial value 998.131940
+#> iter 2 value 856.364102
+#> iter 3 value 852.497585
+#> iter 4 value 849.295669
+#> iter 5 value 801.178253
+#> iter 6 value 790.837985
+#> iter 7 value 788.802751
+#> iter 8 value 788.745492
+#> iter 9 value 788.745347
+#> iter 10 value 788.745334
+#> iter 11 value 788.745313
+#> iter 12 value 788.745289
+#> iter 12 value 788.745289
+#> iter 12 value 788.745289
+#> final value 788.745289
+#> converged
+#> This is Run number 157
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.86526348 1.9245940 0.3152635 -11.2754060 1
+#> 2 1 -3.10 -5.40 0.03324372 -0.3172190 -3.0667563 -5.7172190 1
+#> 3 1 -14.60 -12.20 0.55125988 -0.8579482 -14.0487401 -13.0579482 2
+#> 4 1 -14.20 -0.55 -0.54561015 -0.2495503 -14.7456102 -0.7995503 2
+#> 5 1 -5.40 -3.30 -0.74882950 0.7383848 -6.1488295 -2.5616152 2
+#> 6 1 -4.10 -2.55 -0.33919757 -0.2101050 -4.4391976 -2.7601050 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -37425 6600
+#> initial value 998.131940
+#> iter 2 value 845.063651
+#> iter 3 value 840.552628
+#> iter 4 value 838.796081
+#> iter 5 value 789.555862
+#> iter 6 value 778.985069
+#> iter 7 value 777.310498
+#> iter 8 value 777.274389
+#> iter 9 value 777.274351
+#> iter 10 value 777.274334
+#> iter 11 value 777.274277
+#> iter 12 value 777.274237
+#> iter 12 value 777.274237
+#> iter 12 value 777.274237
+#> final value 777.274237
+#> converged
+#> This is Run number 158
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.042608767 0.9683149 1.4926088 -12.2316851 1
+#> 2 1 -3.10 -5.40 2.403175451 0.3726447 -0.6968245 -5.0273553 1
+#> 3 1 -14.60 -12.20 1.146536239 -0.5983689 -13.4534638 -12.7983689 2
+#> 4 1 -14.20 -0.55 1.022128516 -0.1684058 -13.1778715 -0.7184058 2
+#> 5 1 -5.40 -3.30 0.002690226 1.0085020 -5.3973098 -2.2914980 2
+#> 6 1 -4.10 -2.55 0.979985912 1.3673395 -3.1200141 -1.1826605 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6300 -37200 6725
+#> initial value 998.131940
+#> iter 2 value 847.619325
+#> iter 3 value 841.771464
+#> iter 4 value 837.657162
+#> iter 5 value 788.294771
+#> iter 6 value 777.932843
+#> iter 7 value 776.279655
+#> iter 8 value 776.244838
+#> iter 8 value 776.244835
+#> final value 776.244835
+#> converged
+#> This is Run number 159
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.64804550 -0.3515795 -1.198045 -13.5515795 1
+#> 2 1 -3.10 -5.40 -0.33809165 0.6835371 -3.438092 -4.7164629 1
+#> 3 1 -14.60 -12.20 1.98192407 0.8772060 -12.618076 -11.3227940 2
+#> 4 1 -14.20 -0.55 -0.84946519 -0.2933119 -15.049465 -0.8433119 2
+#> 5 1 -5.40 -3.30 -0.07987132 1.0474637 -5.479871 -2.2525363 2
+#> 6 1 -4.10 -2.55 1.64529898 -0.4335788 -2.454701 -2.9835788 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7160 -37025 6500
+#> initial value 998.131940
+#> iter 2 value 850.703302
+#> iter 3 value 847.658482
+#> iter 4 value 847.337632
+#> iter 5 value 796.775064
+#> iter 6 value 786.247885
+#> iter 7 value 784.518831
+#> iter 8 value 784.480096
+#> iter 9 value 784.480038
+#> iter 10 value 784.480017
+#> iter 11 value 784.479961
+#> iter 12 value 784.479916
+#> iter 12 value 784.479916
+#> iter 12 value 784.479916
+#> final value 784.479916
+#> converged
+#> This is Run number 160
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.98423829 -0.50471324 0.4342383 -13.7047132 1
+#> 2 1 -3.10 -5.40 2.18799357 3.55256637 -0.9120064 -1.8474336 1
+#> 3 1 -14.60 -12.20 -0.08168934 -0.23672185 -14.6816893 -12.4367219 2
+#> 4 1 -14.20 -0.55 2.83752470 -0.05864938 -11.3624753 -0.6086494 2
+#> 5 1 -5.40 -3.30 3.69107620 -0.30412236 -1.7089238 -3.6041224 1
+#> 6 1 -4.10 -2.55 2.00181237 0.87242841 -2.0981876 -1.6775716 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7180 -37500 6625
+#> initial value 998.131940
+#> iter 2 value 843.543368
+#> iter 3 value 839.745284
+#> iter 4 value 839.288278
+#> iter 5 value 790.016392
+#> iter 6 value 779.328853
+#> iter 7 value 777.662118
+#> iter 8 value 777.626563
+#> iter 9 value 777.626542
+#> iter 10 value 777.626521
+#> iter 11 value 777.626460
+#> iter 12 value 777.626388
+#> iter 12 value 777.626388
+#> iter 12 value 777.626388
+#> final value 777.626388
+#> converged
+#> This is Run number 161
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.8308997 0.1511761 0.2808997 -13.04882394 1
+#> 2 1 -3.10 -5.40 -0.3026536 -0.3965300 -3.4026536 -5.79653001 1
+#> 3 1 -14.60 -12.20 1.5247940 3.3724470 -13.0752060 -8.82755300 2
+#> 4 1 -14.20 -0.55 1.6461505 0.6476817 -12.5538495 0.09768166 2
+#> 5 1 -5.40 -3.30 0.5119753 -0.8752973 -4.8880247 -4.17529731 2
+#> 6 1 -4.10 -2.55 1.2975058 -0.2799402 -2.8024942 -2.82994021 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7280 -37675 5650
+#> initial value 998.131940
+#> iter 2 value 846.468852
+#> iter 3 value 843.029472
+#> iter 4 value 841.688044
+#> iter 5 value 794.528208
+#> iter 6 value 783.828189
+#> iter 7 value 781.894795
+#> iter 8 value 781.840952
+#> iter 9 value 781.840840
+#> iter 10 value 781.840825
+#> iter 11 value 781.840794
+#> iter 12 value 781.840754
+#> iter 12 value 781.840754
+#> iter 12 value 781.840754
+#> final value 781.840754
+#> converged
+#> This is Run number 162
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.6280295 -1.3169388 2.078030 -14.5169388 1
+#> 2 1 -3.10 -5.40 -0.3514191 0.1244344 -3.451419 -5.2755656 1
+#> 3 1 -14.60 -12.20 -0.7427355 0.5991061 -15.342735 -11.6008939 2
+#> 4 1 -14.20 -0.55 1.1820872 0.9149136 -13.017913 0.3649136 2
+#> 5 1 -5.40 -3.30 0.7547262 -0.2767088 -4.645274 -3.5767088 2
+#> 6 1 -4.10 -2.55 0.2586815 -0.7564654 -3.841319 -3.3064654 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6000 -35925 5575
+#> initial value 998.131940
+#> iter 2 value 870.520626
+#> iter 3 value 865.348006
+#> iter 4 value 858.664730
+#> iter 5 value 808.581730
+#> iter 6 value 798.827040
+#> iter 7 value 796.846565
+#> iter 8 value 796.796021
+#> iter 9 value 796.795907
+#> iter 9 value 796.795903
+#> iter 9 value 796.795903
+#> final value 796.795903
+#> converged
+#> This is Run number 163
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.53135314 -0.02147069 1.981353 -13.221471 1
+#> 2 1 -3.10 -5.40 2.60056005 -0.27317562 -0.499440 -5.673176 1
+#> 3 1 -14.60 -12.20 -0.88184079 1.84380732 -15.481841 -10.356193 2
+#> 4 1 -14.20 -0.55 -1.28708662 -0.55431239 -15.487087 -1.104312 2
+#> 5 1 -5.40 -3.30 0.02699625 0.45032041 -5.373004 -2.849680 2
+#> 6 1 -4.10 -2.55 0.31326205 -0.11151226 -3.786738 -2.661512 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7080 -37025 6475
+#> initial value 998.131940
+#> iter 2 value 850.934562
+#> iter 3 value 847.785159
+#> iter 4 value 847.266300
+#> iter 5 value 796.739741
+#> iter 6 value 786.226590
+#> iter 7 value 784.490588
+#> iter 8 value 784.451468
+#> iter 9 value 784.451412
+#> iter 10 value 784.451389
+#> iter 11 value 784.451333
+#> iter 12 value 784.451290
+#> iter 12 value 784.451290
+#> iter 12 value 784.451290
+#> final value 784.451290
+#> converged
+#> This is Run number 164
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.8413059 -0.22802083 0.2913059 -13.428021 1
+#> 2 1 -3.10 -5.40 0.9187617 4.26342391 -2.1812383 -1.136576 2
+#> 3 1 -14.60 -12.20 0.9298211 -0.07119918 -13.6701789 -12.271199 2
+#> 4 1 -14.20 -0.55 2.9484064 1.88454552 -11.2515936 1.334546 2
+#> 5 1 -5.40 -3.30 -0.3949838 0.81858284 -5.7949838 -2.481417 2
+#> 6 1 -4.10 -2.55 3.0583092 -1.25157921 -1.0416908 -3.801579 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7220 -36525 5100
+#> initial value 998.131940
+#> iter 2 value 864.554757
+#> iter 3 value 862.573271
+#> iter 4 value 861.469610
+#> iter 5 value 811.586557
+#> iter 6 value 801.549898
+#> iter 7 value 799.256002
+#> iter 8 value 799.187895
+#> iter 9 value 799.187639
+#> iter 9 value 799.187627
+#> iter 9 value 799.187627
+#> final value 799.187627
+#> converged
+#> This is Run number 165
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.2921278 -0.85231969 -0.8421278 -14.0523197 1
+#> 2 1 -3.10 -5.40 2.3486807 0.41798887 -0.7513193 -4.9820111 1
+#> 3 1 -14.60 -12.20 1.0087430 -0.08755500 -13.5912570 -12.2875550 2
+#> 4 1 -14.20 -0.55 -0.7692039 -0.14180984 -14.9692039 -0.6918098 2
+#> 5 1 -5.40 -3.30 2.8585370 -0.04066433 -2.5414630 -3.3406643 1
+#> 6 1 -4.10 -2.55 -1.3816487 0.85842471 -5.4816487 -1.6915753 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -36475 7150
+#> initial value 998.131940
+#> iter 2 value 854.485129
+#> iter 3 value 850.739753
+#> iter 4 value 849.366392
+#> iter 5 value 796.221261
+#> iter 6 value 786.035766
+#> iter 7 value 784.404465
+#> iter 8 value 784.374124
+#> iter 9 value 784.374081
+#> iter 10 value 784.374054
+#> iter 11 value 784.374002
+#> iter 12 value 784.373968
+#> iter 12 value 784.373968
+#> iter 12 value 784.373968
+#> final value 784.373968
+#> converged
+#> This is Run number 166
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.5249282 4.3644315 0.9749282 -8.835568 1
+#> 2 1 -3.10 -5.40 3.3753319 1.4394727 0.2753319 -3.960527 1
+#> 3 1 -14.60 -12.20 -0.8044044 0.3471268 -15.4044044 -11.852873 2
+#> 4 1 -14.20 -0.55 1.3727465 -1.0807581 -12.8272535 -1.630758 2
+#> 5 1 -5.40 -3.30 0.5764820 -0.9081824 -4.8235180 -4.208182 2
+#> 6 1 -4.10 -2.55 -0.4551412 3.5793436 -4.5551412 1.029344 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -36650 7275
+#> initial value 998.131940
+#> iter 2 value 851.459883
+#> iter 3 value 847.044851
+#> iter 4 value 845.203666
+#> iter 5 value 792.501025
+#> iter 6 value 782.297617
+#> iter 7 value 780.685579
+#> iter 8 value 780.656332
+#> iter 9 value 780.656284
+#> iter 10 value 780.656251
+#> iter 11 value 780.656201
+#> iter 12 value 780.656177
+#> iter 12 value 780.656177
+#> iter 12 value 780.656177
+#> final value 780.656177
+#> converged
+#> This is Run number 167
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.776845301 -1.0730688 0.2268453 -14.2730688 1
+#> 2 1 -3.10 -5.40 0.271734071 0.9077378 -2.8282659 -4.4922622 1
+#> 3 1 -14.60 -12.20 -0.580769882 0.7158352 -15.1807699 -11.4841648 2
+#> 4 1 -14.20 -0.55 2.667496476 -0.1994776 -11.5325035 -0.7494776 2
+#> 5 1 -5.40 -3.30 -0.572513556 0.0909715 -5.9725136 -3.2090285 2
+#> 6 1 -4.10 -2.55 0.003957326 -0.7043514 -4.0960427 -3.2543514 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6900 -36450 4825
+#> initial value 998.131940
+#> iter 2 value 867.070910
+#> iter 3 value 864.152618
+#> iter 4 value 861.144867
+#> iter 5 value 812.177723
+#> iter 6 value 802.286610
+#> iter 7 value 799.903094
+#> iter 8 value 799.830914
+#> iter 9 value 799.830633
+#> iter 9 value 799.830632
+#> iter 9 value 799.830632
+#> final value 799.830632
+#> converged
+#> This is Run number 168
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.18369870 2.06192618 -0.3663013 -11.138074 1
+#> 2 1 -3.10 -5.40 1.54943615 -0.43374961 -1.5505638 -5.833750 1
+#> 3 1 -14.60 -12.20 -0.09053966 -0.02011893 -14.6905397 -12.220119 2
+#> 4 1 -14.20 -0.55 0.73729110 1.42748404 -13.4627089 0.877484 2
+#> 5 1 -5.40 -3.30 -0.55044007 1.63056506 -5.9504401 -1.669435 2
+#> 6 1 -4.10 -2.55 -1.56565974 0.08723830 -5.6656597 -2.462762 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7180 -38225 5725
+#> initial value 998.131940
+#> iter 2 value 838.479667
+#> iter 3 value 833.843400
+#> iter 4 value 831.423181
+#> iter 5 value 786.230389
+#> iter 6 value 775.367802
+#> iter 7 value 773.546873
+#> iter 8 value 773.497520
+#> iter 9 value 773.497460
+#> iter 9 value 773.497454
+#> iter 9 value 773.497454
+#> final value 773.497454
+#> converged
+#> This is Run number 169
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.9286120 0.04595374 -1.478612 -13.1540463 1
+#> 2 1 -3.10 -5.40 0.7190665 -0.72603317 -2.380934 -6.1260332 1
+#> 3 1 -14.60 -12.20 -0.5503876 -1.53901400 -15.150388 -13.7390140 2
+#> 4 1 -14.20 -0.55 0.1863202 0.76694562 -14.013680 0.2169456 2
+#> 5 1 -5.40 -3.30 0.7399865 2.91370843 -4.660014 -0.3862916 2
+#> 6 1 -4.10 -2.55 1.7889054 -1.16264300 -2.311095 -3.7126430 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5980 -36825 6600
+#> initial value 998.131940
+#> iter 2 value 853.405403
+#> iter 3 value 846.897669
+#> iter 4 value 840.745502
+#> iter 5 value 791.239045
+#> iter 6 value 781.067992
+#> iter 7 value 779.387023
+#> iter 8 value 779.350668
+#> iter 9 value 779.350649
+#> iter 9 value 779.350639
+#> iter 10 value 779.350619
+#> iter 11 value 779.350605
+#> iter 11 value 779.350602
+#> iter 11 value 779.350602
+#> final value 779.350602
+#> converged
+#> This is Run number 170
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.3162649 1.3153358 -0.8662649 -11.8846642 1
+#> 2 1 -3.10 -5.40 1.9045576 1.9437124 -1.1954424 -3.4562876 1
+#> 3 1 -14.60 -12.20 0.5248672 -0.6558654 -14.0751328 -12.8558654 2
+#> 4 1 -14.20 -0.55 5.4193907 0.3937133 -8.7806093 -0.1562867 2
+#> 5 1 -5.40 -3.30 -1.0395705 5.1028961 -6.4395705 1.8028961 2
+#> 6 1 -4.10 -2.55 -0.6281245 -0.3322676 -4.7281245 -2.8822676 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -38100 6900
+#> initial value 998.131940
+#> iter 2 value 833.983521
+#> iter 3 value 827.296982
+#> iter 4 value 823.959623
+#> iter 5 value 776.910945
+#> iter 6 value 766.299992
+#> iter 7 value 764.719548
+#> iter 8 value 764.687200
+#> iter 9 value 764.687116
+#> iter 10 value 764.687065
+#> iter 11 value 764.687022
+#> iter 11 value 764.687018
+#> iter 11 value 764.687018
+#> final value 764.687018
+#> converged
+#> This is Run number 171
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.9349211 -0.0262689 2.384921 -13.2262689 1
+#> 2 1 -3.10 -5.40 0.6742470 3.1523658 -2.425753 -2.2476342 2
+#> 3 1 -14.60 -12.20 0.2348336 -0.4657631 -14.365166 -12.6657631 2
+#> 4 1 -14.20 -0.55 0.3840841 0.7015523 -13.815916 0.1515523 2
+#> 5 1 -5.40 -3.30 4.0806165 0.8026223 -1.319383 -2.4973777 1
+#> 6 1 -4.10 -2.55 0.2595403 1.5016443 -3.840460 -1.0483557 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7200 -36575 5450
+#> initial value 998.131940
+#> iter 2 value 862.242410
+#> iter 3 value 860.186601
+#> iter 4 value 859.376187
+#> iter 5 value 809.053168
+#> iter 6 value 798.885187
+#> iter 7 value 796.757968
+#> iter 8 value 796.697834
+#> iter 9 value 796.697639
+#> iter 10 value 796.697622
+#> iter 11 value 796.697589
+#> iter 12 value 796.697545
+#> iter 12 value 796.697545
+#> iter 12 value 796.697545
+#> final value 796.697545
+#> converged
+#> This is Run number 172
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.7783030 -0.7799000 0.228303 -13.9799000 1
+#> 2 1 -3.10 -5.40 -1.1799415 0.6869201 -4.279941 -4.7130799 1
+#> 3 1 -14.60 -12.20 4.7298040 0.1748285 -9.870196 -12.0251715 1
+#> 4 1 -14.20 -0.55 -0.3544671 -0.4078103 -14.554467 -0.9578103 2
+#> 5 1 -5.40 -3.30 0.2404823 -0.1848079 -5.159518 -3.4848079 2
+#> 6 1 -4.10 -2.55 -0.3009539 1.6983120 -4.400954 -0.8516880 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6520 -36675 6150
+#> initial value 998.131940
+#> iter 2 value 857.808967
+#> iter 3 value 853.820907
+#> iter 4 value 850.851396
+#> iter 5 value 800.406180
+#> iter 6 value 790.170235
+#> iter 7 value 788.357823
+#> iter 8 value 788.314723
+#> iter 9 value 788.314662
+#> iter 10 value 788.314647
+#> iter 11 value 788.314608
+#> iter 12 value 788.314572
+#> iter 12 value 788.314572
+#> iter 12 value 788.314572
+#> final value 788.314572
+#> converged
+#> This is Run number 173
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.5596155 -1.25697478 0.009615462 -14.45697478 1
+#> 2 1 -3.10 -5.40 -1.1680902 -0.67666372 -4.268090150 -6.07666372 1
+#> 3 1 -14.60 -12.20 -0.2779217 1.60558969 -14.877921663 -10.59441031 2
+#> 4 1 -14.20 -0.55 0.7713265 0.49717469 -13.428673528 -0.05282531 2
+#> 5 1 -5.40 -3.30 0.9059446 -0.83921190 -4.494055411 -4.13921190 2
+#> 6 1 -4.10 -2.55 0.4769119 -0.03321431 -3.623088117 -2.58321431 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -36050 5225
+#> initial value 998.131940
+#> iter 2 value 870.355810
+#> iter 3 value 868.057773
+#> iter 4 value 865.966977
+#> iter 5 value 814.883464
+#> iter 6 value 805.069986
+#> iter 7 value 802.870828
+#> iter 8 value 802.809868
+#> iter 9 value 802.809668
+#> iter 10 value 802.809654
+#> iter 11 value 802.809629
+#> iter 12 value 802.809597
+#> iter 12 value 802.809597
+#> iter 12 value 802.809597
+#> final value 802.809597
+#> converged
+#> This is Run number 174
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.3433904 1.26967683 1.793390 -11.930323 1
+#> 2 1 -3.10 -5.40 1.6880410 0.25969912 -1.411959 -5.140301 1
+#> 3 1 -14.60 -12.20 1.6301231 -0.07850569 -12.969877 -12.278506 2
+#> 4 1 -14.20 -0.55 -0.3573498 -0.15091497 -14.557350 -0.700915 2
+#> 5 1 -5.40 -3.30 2.1244139 -1.45276183 -3.275586 -4.752762 1
+#> 6 1 -4.10 -2.55 0.2331520 -0.11520470 -3.866848 -2.665205 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6440 -36725 6900
+#> initial value 998.131940
+#> iter 2 value 852.812320
+#> iter 3 value 848.542874
+#> iter 4 value 846.412397
+#> iter 5 value 794.628494
+#> iter 6 value 784.367067
+#> iter 7 value 782.710485
+#> iter 8 value 782.677492
+#> iter 9 value 782.677463
+#> iter 10 value 782.677444
+#> iter 11 value 782.677388
+#> iter 12 value 782.677344
+#> iter 12 value 782.677344
+#> iter 12 value 782.677344
+#> final value 782.677344
+#> converged
+#> This is Run number 175
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 4.3552137 0.4954863 3.805214 -12.7045137 1
+#> 2 1 -3.10 -5.40 0.9137171 0.8076059 -2.186283 -4.5923941 1
+#> 3 1 -14.60 -12.20 -0.1490423 1.5188402 -14.749042 -10.6811598 2
+#> 4 1 -14.20 -0.55 0.3678268 0.8999636 -13.832173 0.3499636 2
+#> 5 1 -5.40 -3.30 0.2204986 -0.9888253 -5.179501 -4.2888253 2
+#> 6 1 -4.10 -2.55 -0.9124282 1.5884201 -5.012428 -0.9615799 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6980 -35900 5550
+#> initial value 998.131940
+#> iter 2 value 870.493632
+#> iter 3 value 868.912187
+#> iter 4 value 868.082057
+#> iter 5 value 815.690725
+#> iter 6 value 805.851488
+#> iter 7 value 803.756343
+#> iter 8 value 803.700596
+#> iter 9 value 803.700419
+#> iter 10 value 803.700397
+#> iter 11 value 803.700358
+#> iter 12 value 803.700315
+#> iter 12 value 803.700315
+#> iter 12 value 803.700315
+#> final value 803.700315
+#> converged
+#> This is Run number 176
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.0048433 0.71432970 0.4548433 -12.4856703 1
+#> 2 1 -3.10 -5.40 -1.1875471 1.08722789 -4.2875471 -4.3127721 1
+#> 3 1 -14.60 -12.20 -0.5087251 1.21547825 -15.1087251 -10.9845217 2
+#> 4 1 -14.20 -0.55 -0.4367762 0.19615659 -14.6367762 -0.3538434 2
+#> 5 1 -5.40 -3.30 2.9519539 0.07814871 -2.4480461 -3.2218513 1
+#> 6 1 -4.10 -2.55 0.8461172 1.67182393 -3.2538828 -0.8781761 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7480 -37050 4875
+#> initial value 998.131940
+#> iter 2 value 858.426845
+#> iter 3 value 856.313756
+#> iter 4 value 855.353080
+#> iter 5 value 807.280456
+#> iter 6 value 797.052011
+#> iter 7 value 794.648417
+#> iter 8 value 794.571630
+#> iter 9 value 794.571305
+#> iter 9 value 794.571301
+#> iter 9 value 794.571301
+#> final value 794.571301
+#> converged
+#> This is Run number 177
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.3027170 0.31967656 -0.852717 -12.8803234 1
+#> 2 1 -3.10 -5.40 -0.2040689 2.24270595 -3.304069 -3.1572940 2
+#> 3 1 -14.60 -12.20 0.6230689 2.39778169 -13.976931 -9.8022183 2
+#> 4 1 -14.20 -0.55 3.9486658 0.19780652 -10.251334 -0.3521935 2
+#> 5 1 -5.40 -3.30 3.6831444 -0.01272369 -1.716856 -3.3127237 1
+#> 6 1 -4.10 -2.55 -0.7395783 1.45583884 -4.839578 -1.0941612 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -36925 6725
+#> initial value 998.131940
+#> iter 2 value 851.173952
+#> iter 3 value 846.951058
+#> iter 4 value 844.972849
+#> iter 5 value 794.042059
+#> iter 6 value 783.678122
+#> iter 7 value 781.999772
+#> iter 8 value 781.964767
+#> iter 9 value 781.964712
+#> iter 10 value 781.964672
+#> iter 11 value 781.964644
+#> iter 12 value 781.964617
+#> iter 12 value 781.964617
+#> iter 12 value 781.964617
+#> final value 781.964617
+#> converged
+#> This is Run number 178
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.69585871 1.4702467 0.1458587 -11.729753 1
+#> 2 1 -3.10 -5.40 -0.64591393 2.9974533 -3.7459139 -2.402547 2
+#> 3 1 -14.60 -12.20 -0.15346826 -0.9135248 -14.7534683 -13.113525 2
+#> 4 1 -14.20 -0.55 1.80467176 1.1006180 -12.3953282 0.550618 2
+#> 5 1 -5.40 -3.30 -0.12765690 7.4710265 -5.5276569 4.171026 2
+#> 6 1 -4.10 -2.55 -0.05030021 0.8397626 -4.1503002 -1.710237 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7200 -39000 6400
+#> initial value 998.131940
+#> iter 2 value 823.444799
+#> iter 3 value 817.256240
+#> iter 4 value 815.056525
+#> iter 5 value 771.322952
+#> iter 6 value 760.363245
+#> iter 7 value 758.790704
+#> iter 8 value 758.755608
+#> iter 9 value 758.755505
+#> iter 10 value 758.755447
+#> iter 11 value 758.755397
+#> iter 11 value 758.755391
+#> iter 11 value 758.755391
+#> final value 758.755391
+#> converged
+#> This is Run number 179
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.7609547 -0.34051807 0.2109547 -13.540518 1
+#> 2 1 -3.10 -5.40 -0.2358056 -0.90012847 -3.3358056 -6.300128 1
+#> 3 1 -14.60 -12.20 -0.3123379 -0.17230518 -14.9123379 -12.372305 2
+#> 4 1 -14.20 -0.55 1.0348437 1.80075730 -13.1651563 1.250757 2
+#> 5 1 -5.40 -3.30 2.6193158 -0.08105251 -2.7806842 -3.381053 1
+#> 6 1 -4.10 -2.55 1.4329158 0.38303446 -2.6670842 -2.166966 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6440 -35950 6850
+#> initial value 998.131940
+#> iter 2 value 863.022572
+#> iter 3 value 860.282364
+#> iter 4 value 858.999055
+#> iter 5 value 804.755317
+#> iter 6 value 794.770359
+#> iter 7 value 793.081429
+#> iter 8 value 793.047726
+#> iter 9 value 793.047710
+#> iter 10 value 793.047690
+#> iter 11 value 793.047632
+#> iter 12 value 793.047562
+#> iter 12 value 793.047562
+#> iter 12 value 793.047562
+#> final value 793.047562
+#> converged
+#> This is Run number 180
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.59325170 2.6136817 0.0432517 -10.586318 1
+#> 2 1 -3.10 -5.40 0.06205956 -1.1647375 -3.0379404 -6.564737 1
+#> 3 1 -14.60 -12.20 -0.28637859 -1.4855725 -14.8863786 -13.685572 2
+#> 4 1 -14.20 -0.55 0.56999834 -0.4526095 -13.6300017 -1.002610 2
+#> 5 1 -5.40 -3.30 1.54556195 -0.1931132 -3.8544380 -3.493113 2
+#> 6 1 -4.10 -2.55 1.12013120 -1.0150913 -2.9798688 -3.565091 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7100 -37525 6450
+#> initial value 998.131940
+#> iter 2 value 844.319701
+#> iter 3 value 840.440901
+#> iter 4 value 839.576371
+#> iter 5 value 790.676328
+#> iter 6 value 779.998220
+#> iter 7 value 778.294162
+#> iter 8 value 778.255819
+#> iter 9 value 778.255762
+#> iter 10 value 778.255715
+#> iter 11 value 778.255691
+#> iter 12 value 778.255653
+#> iter 12 value 778.255653
+#> iter 12 value 778.255653
+#> final value 778.255653
+#> converged
+#> This is Run number 181
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.20925082 -0.3772826 -0.7592508 -13.5772826 1
+#> 2 1 -3.10 -5.40 -0.66938934 0.3988336 -3.7693893 -5.0011664 1
+#> 3 1 -14.60 -12.20 1.05359101 -0.9123324 -13.5464090 -13.1123324 2
+#> 4 1 -14.20 -0.55 0.03034771 -0.1221365 -14.1696523 -0.6721365 2
+#> 5 1 -5.40 -3.30 2.32708710 0.8290166 -3.0729129 -2.4709834 2
+#> 6 1 -4.10 -2.55 1.37400425 -0.2376031 -2.7259957 -2.7876031 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -36425 6250
+#> initial value 998.131940
+#> iter 2 value 860.272691
+#> iter 3 value 857.664009
+#> iter 4 value 856.679230
+#> iter 5 value 804.745097
+#> iter 6 value 794.533878
+#> iter 7 value 792.710412
+#> iter 8 value 792.667380
+#> iter 9 value 792.667300
+#> iter 10 value 792.667270
+#> iter 11 value 792.667221
+#> iter 12 value 792.667184
+#> iter 12 value 792.667184
+#> iter 12 value 792.667184
+#> final value 792.667184
+#> converged
+#> This is Run number 182
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.1796479 -0.28839411 -0.7296479 -13.4883941 1
+#> 2 1 -3.10 -5.40 -0.3588552 2.11732162 -3.4588552 -3.2826784 2
+#> 3 1 -14.60 -12.20 -1.7779983 -0.19889881 -16.3779983 -12.3988988 2
+#> 4 1 -14.20 -0.55 0.6528162 1.54972330 -13.5471838 0.9997233 2
+#> 5 1 -5.40 -3.30 0.7016938 0.04535965 -4.6983062 -3.2546403 2
+#> 6 1 -4.10 -2.55 0.1617755 -0.55842689 -3.9382245 -3.1084269 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6640 -34700 5250
+#> initial value 998.131940
+#> iter 2 value 886.530088
+#> iter 3 value 885.738060
+#> iter 4 value 884.496810
+#> iter 5 value 829.520106
+#> iter 6 value 820.432580
+#> iter 7 value 818.287348
+#> iter 8 value 818.234532
+#> iter 9 value 818.234360
+#> iter 10 value 818.234335
+#> iter 11 value 818.234296
+#> iter 12 value 818.234265
+#> iter 12 value 818.234265
+#> iter 12 value 818.234265
+#> final value 818.234265
+#> converged
+#> This is Run number 183
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.8852002 1.355328 -1.435200 -11.8446722 1
+#> 2 1 -3.10 -5.40 0.7693151 3.489260 -2.330685 -1.9107395 2
+#> 3 1 -14.60 -12.20 -0.8575837 1.051173 -15.457584 -11.1488269 2
+#> 4 1 -14.20 -0.55 -0.5654713 -1.242760 -14.765471 -1.7927601 2
+#> 5 1 -5.40 -3.30 2.0545579 2.339840 -3.345442 -0.9601604 2
+#> 6 1 -4.10 -2.55 1.0757534 1.557491 -3.024247 -0.9925088 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6720 -35875 3875
+#> initial value 998.131940
+#> iter 2 value 878.244693
+#> iter 3 value 874.526560
+#> iter 4 value 869.189019
+#> iter 5 value 821.226007
+#> iter 6 value 812.039988
+#> iter 7 value 809.085426
+#> iter 8 value 808.988469
+#> iter 9 value 808.987877
+#> iter 10 value 808.987853
+#> iter 10 value 808.987853
+#> iter 11 value 808.987841
+#> iter 11 value 808.987839
+#> iter 11 value 808.987839
+#> final value 808.987839
+#> converged
+#> This is Run number 184
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.7994820 0.65631846 0.249482 -12.5436815 1
+#> 2 1 -3.10 -5.40 0.7171542 0.61481509 -2.382846 -4.7851849 1
+#> 3 1 -14.60 -12.20 -0.5311463 1.38650221 -15.131146 -10.8134978 2
+#> 4 1 -14.20 -0.55 1.7195718 -0.05897955 -12.480428 -0.6089796 2
+#> 5 1 -5.40 -3.30 -0.5507568 2.35104944 -5.950757 -0.9489506 2
+#> 6 1 -4.10 -2.55 0.4832677 -0.77308813 -3.616732 -3.3230881 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6400 -35875 5875
+#> initial value 998.131940
+#> iter 2 value 869.518725
+#> iter 3 value 866.514820
+#> iter 4 value 863.587279
+#> iter 5 value 811.262623
+#> iter 6 value 801.430014
+#> iter 7 value 799.515441
+#> iter 8 value 799.469048
+#> iter 9 value 799.468951
+#> iter 10 value 799.468927
+#> iter 11 value 799.468891
+#> iter 12 value 799.468866
+#> iter 12 value 799.468866
+#> iter 12 value 799.468866
+#> final value 799.468866
+#> converged
+#> This is Run number 185
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.2098898 1.57259500 -0.3401102 -11.627405 1
+#> 2 1 -3.10 -5.40 1.2949007 -0.40213365 -1.8050993 -5.802134 1
+#> 3 1 -14.60 -12.20 1.4838098 1.86475111 -13.1161902 -10.335249 2
+#> 4 1 -14.20 -0.55 0.4464334 -0.97925331 -13.7535666 -1.529253 2
+#> 5 1 -5.40 -3.30 0.9827652 0.09450328 -4.4172348 -3.205497 2
+#> 6 1 -4.10 -2.55 0.8247078 0.40898184 -3.2752922 -2.141018 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -35875 4950
+#> initial value 998.131940
+#> iter 2 value 874.044398
+#> iter 3 value 870.129266
+#> iter 4 value 864.972121
+#> iter 5 value 815.158864
+#> iter 6 value 805.540093
+#> iter 7 value 803.267534
+#> iter 8 value 803.203287
+#> iter 9 value 803.203064
+#> iter 10 value 803.203052
+#> iter 10 value 803.203048
+#> iter 10 value 803.203043
+#> final value 803.203043
+#> converged
+#> This is Run number 186
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.1596379 3.6532638 0.6096379 -9.5467362 1
+#> 2 1 -3.10 -5.40 -0.9142328 2.4479012 -4.0142328 -2.9520988 2
+#> 3 1 -14.60 -12.20 -0.6820099 -0.3365390 -15.2820099 -12.5365390 2
+#> 4 1 -14.20 -0.55 1.3754941 2.6630646 -12.8245059 2.1130646 2
+#> 5 1 -5.40 -3.30 0.8108964 -0.2539947 -4.5891036 -3.5539947 2
+#> 6 1 -4.10 -2.55 1.4885714 2.2835724 -2.6114286 -0.2664276 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7000 -37475 6200
+#> initial value 998.131940
+#> iter 2 value 846.528807
+#> iter 3 value 842.584994
+#> iter 4 value 841.072793
+#> iter 5 value 792.527834
+#> iter 6 value 781.896612
+#> iter 7 value 780.130701
+#> iter 8 value 780.088214
+#> iter 9 value 780.088162
+#> iter 10 value 780.088138
+#> iter 11 value 780.088091
+#> iter 12 value 780.088055
+#> iter 12 value 780.088055
+#> iter 12 value 780.088055
+#> final value 780.088055
+#> converged
+#> This is Run number 187
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.5096554 2.173751e-06 -1.059655 -13.1999978 1
+#> 2 1 -3.10 -5.40 0.8492934 1.223339e+00 -2.250707 -4.1766613 1
+#> 3 1 -14.60 -12.20 -0.7928258 2.577355e-02 -15.392826 -12.1742265 2
+#> 4 1 -14.20 -0.55 0.8130195 2.997825e-01 -13.386981 -0.2502175 2
+#> 5 1 -5.40 -3.30 0.2692675 1.039468e+00 -5.130732 -2.2605320 2
+#> 6 1 -4.10 -2.55 -0.6322402 1.442302e+00 -4.732240 -1.1076981 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5740 -35975 6850
+#> initial value 998.131940
+#> iter 2 value 862.828213
+#> iter 3 value 857.449927
+#> iter 4 value 851.923687
+#> iter 5 value 799.179233
+#> iter 6 value 789.356685
+#> iter 7 value 787.694419
+#> iter 8 value 787.661589
+#> iter 9 value 787.661571
+#> iter 10 value 787.661558
+#> iter 11 value 787.661521
+#> iter 12 value 787.661492
+#> iter 12 value 787.661492
+#> iter 12 value 787.661492
+#> final value 787.661492
+#> converged
+#> This is Run number 188
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.0598586 0.005772754 0.5098586 -13.1942272 1
+#> 2 1 -3.10 -5.40 -0.2856184 -0.458176471 -3.3856184 -5.8581765 1
+#> 3 1 -14.60 -12.20 0.1730072 -0.672164000 -14.4269928 -12.8721640 2
+#> 4 1 -14.20 -0.55 3.4400857 1.478677426 -10.7599143 0.9286774 2
+#> 5 1 -5.40 -3.30 0.9852594 -0.507106403 -4.4147406 -3.8071064 2
+#> 6 1 -4.10 -2.55 1.2221485 0.696088790 -2.8778515 -1.8539112 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6640 -37425 5900
+#> initial value 998.131940
+#> iter 2 value 849.111345
+#> iter 3 value 843.992364
+#> iter 4 value 839.915195
+#> iter 5 value 792.566317
+#> iter 6 value 782.057448
+#> iter 7 value 780.229799
+#> iter 8 value 780.182910
+#> iter 9 value 780.182852
+#> iter 10 value 780.182839
+#> iter 11 value 780.182812
+#> iter 12 value 780.182787
+#> iter 12 value 780.182787
+#> iter 12 value 780.182787
+#> final value 780.182787
+#> converged
+#> This is Run number 189
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.66213940 -0.4828375 0.1121394 -13.682838 1
+#> 2 1 -3.10 -5.40 -1.20610021 -0.2589377 -4.3061002 -5.658938 1
+#> 3 1 -14.60 -12.20 -0.06551797 0.1220047 -14.6655180 -12.077995 2
+#> 4 1 -14.20 -0.55 0.21174171 -0.5780381 -13.9882583 -1.128038 2
+#> 5 1 -5.40 -3.30 3.08284613 1.9011606 -2.3171539 -1.398839 2
+#> 6 1 -4.10 -2.55 0.78175292 0.1035007 -3.3182471 -2.446499 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6200 -36425 7650
+#> initial value 998.131940
+#> iter 2 value 851.950427
+#> iter 3 value 847.465638
+#> iter 4 value 845.696127
+#> iter 5 value 791.654307
+#> iter 6 value 781.585760
+#> iter 7 value 779.998397
+#> iter 8 value 779.971935
+#> iter 9 value 779.971872
+#> iter 10 value 779.971828
+#> iter 11 value 779.971785
+#> iter 11 value 779.971780
+#> iter 11 value 779.971780
+#> final value 779.971780
+#> converged
+#> This is Run number 190
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.1199434 -0.47437419 1.569943 -13.6743742 1
+#> 2 1 -3.10 -5.40 0.9936583 -0.09649975 -2.106342 -5.4964998 1
+#> 3 1 -14.60 -12.20 1.0793994 -0.11757852 -13.520601 -12.3175785 2
+#> 4 1 -14.20 -0.55 1.1038404 -0.23825704 -13.096160 -0.7882570 2
+#> 5 1 -5.40 -3.30 0.4742471 2.70673240 -4.925753 -0.5932676 2
+#> 6 1 -4.10 -2.55 0.7067174 0.13826026 -3.393283 -2.4117397 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7080 -36950 5700
+#> initial value 998.131940
+#> iter 2 value 856.202257
+#> iter 3 value 853.359770
+#> iter 4 value 852.066162
+#> iter 5 value 802.603287
+#> iter 6 value 792.216229
+#> iter 7 value 790.236298
+#> iter 8 value 790.182677
+#> iter 9 value 790.182545
+#> iter 10 value 790.182527
+#> iter 11 value 790.182491
+#> iter 12 value 790.182452
+#> iter 12 value 790.182452
+#> iter 12 value 790.182452
+#> final value 790.182452
+#> converged
+#> This is Run number 191
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.4361780 -0.04810365 2.886178 -13.248104 1
+#> 2 1 -3.10 -5.40 -0.2961198 3.10912066 -3.396120 -2.290879 2
+#> 3 1 -14.60 -12.20 0.5002722 2.32373293 -14.099728 -9.876267 2
+#> 4 1 -14.20 -0.55 3.9631503 -0.52677310 -10.236850 -1.076773 2
+#> 5 1 -5.40 -3.30 2.6245975 -0.02509667 -2.775403 -3.325097 1
+#> 6 1 -4.10 -2.55 -0.1688964 0.43596467 -4.268896 -2.114035 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7620 -37625 5150
+#> initial value 998.131940
+#> iter 2 value 849.208728
+#> iter 3 value 846.658510
+#> iter 4 value 845.957745
+#> iter 5 value 799.179801
+#> iter 6 value 788.575636
+#> iter 7 value 786.378454
+#> iter 8 value 786.309251
+#> iter 9 value 786.309005
+#> iter 9 value 786.308997
+#> iter 9 value 786.308997
+#> final value 786.308997
+#> converged
+#> This is Run number 192
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.1360482 -0.4900426 -1.686048 -13.690043 1
+#> 2 1 -3.10 -5.40 -0.1272260 0.2995847 -3.227226 -5.100415 1
+#> 3 1 -14.60 -12.20 1.0912501 2.7032901 -13.508750 -9.496710 2
+#> 4 1 -14.20 -0.55 0.3287857 4.0371465 -13.871214 3.487147 2
+#> 5 1 -5.40 -3.30 2.7278770 0.2373208 -2.672123 -3.062679 1
+#> 6 1 -4.10 -2.55 -0.9850541 -1.0202291 -5.085054 -3.570229 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6060 -36050 5825
+#> initial value 998.131940
+#> iter 2 value 867.678384
+#> iter 3 value 862.812978
+#> iter 4 value 857.031815
+#> iter 5 value 806.453465
+#> iter 6 value 796.597548
+#> iter 7 value 794.699384
+#> iter 8 value 794.652934
+#> iter 9 value 794.652849
+#> iter 9 value 794.652838
+#> iter 9 value 794.652838
+#> final value 794.652838
+#> converged
+#> This is Run number 193
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.5940577 -1.0931780 2.044058 -14.2931780 1
+#> 2 1 -3.10 -5.40 0.5756999 0.3919982 -2.524300 -5.0080018 1
+#> 3 1 -14.60 -12.20 0.9025922 2.0984566 -13.697408 -10.1015434 2
+#> 4 1 -14.20 -0.55 1.6624666 0.8011051 -12.537533 0.2511051 2
+#> 5 1 -5.40 -3.30 -0.9733220 1.9572986 -6.373322 -1.3427014 2
+#> 6 1 -4.10 -2.55 3.0217117 -0.3021996 -1.078288 -2.8521996 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5520 -35300 7250
+#> initial value 998.131940
+#> iter 2 value 868.584857
+#> iter 3 value 864.216371
+#> iter 4 value 859.384748
+#> iter 5 value 803.653375
+#> iter 6 value 794.143263
+#> iter 7 value 792.529598
+#> iter 8 value 792.501159
+#> iter 9 value 792.501118
+#> iter 10 value 792.501086
+#> iter 11 value 792.501067
+#> iter 12 value 792.501055
+#> iter 12 value 792.501055
+#> iter 12 value 792.501055
+#> final value 792.501055
+#> converged
+#> This is Run number 194
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.79086420 1.8989593 0.2408642 -11.3010407 1
+#> 2 1 -3.10 -5.40 1.75740614 1.1611140 -1.3425939 -4.2388860 1
+#> 3 1 -14.60 -12.20 -0.09697232 2.5337831 -14.6969723 -9.6662169 2
+#> 4 1 -14.20 -0.55 2.14213792 0.3470002 -12.0578621 -0.2029998 2
+#> 5 1 -5.40 -3.30 -0.20917531 -0.1521680 -5.6091753 -3.4521680 2
+#> 6 1 -4.10 -2.55 0.68734302 -0.5462565 -3.4126570 -3.0962565 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6700 -37375 6950
+#> initial value 998.131940
+#> iter 2 value 843.685275
+#> iter 3 value 838.864187
+#> iter 4 value 837.232820
+#> iter 5 value 787.267622
+#> iter 6 value 776.754674
+#> iter 7 value 775.133951
+#> iter 8 value 775.102104
+#> iter 9 value 775.102053
+#> iter 10 value 775.102014
+#> iter 11 value 775.101959
+#> iter 12 value 775.101936
+#> iter 12 value 775.101936
+#> iter 12 value 775.101936
+#> final value 775.101936
+#> converged
+#> This is Run number 195
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.3553564 -1.118812273 0.8053564 -14.318812273 1
+#> 2 1 -3.10 -5.40 -0.4695371 -0.901305784 -3.5695371 -6.301305784 1
+#> 3 1 -14.60 -12.20 1.0286403 0.007499048 -13.5713597 -12.192500952 2
+#> 4 1 -14.20 -0.55 1.0242284 0.552297749 -13.1757716 0.002297749 2
+#> 5 1 -5.40 -3.30 0.1868646 0.025484406 -5.2131354 -3.274515594 2
+#> 6 1 -4.10 -2.55 0.2420068 1.453917127 -3.8579932 -1.096082873 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6440 -35625 6175
+#> initial value 998.131940
+#> iter 2 value 870.955886
+#> iter 3 value 868.684563
+#> iter 4 value 866.841717
+#> iter 5 value 812.941727
+#> iter 6 value 803.172936
+#> iter 7 value 801.333811
+#> iter 8 value 801.291863
+#> iter 9 value 801.291778
+#> iter 10 value 801.291757
+#> iter 11 value 801.291709
+#> iter 12 value 801.291669
+#> iter 12 value 801.291669
+#> iter 12 value 801.291669
+#> final value 801.291669
+#> converged
+#> This is Run number 196
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.05680836 -0.4021661 -0.4931916 -13.6021661 1
+#> 2 1 -3.10 -5.40 3.92106971 4.1632178 0.8210697 -1.2367822 1
+#> 3 1 -14.60 -12.20 0.34769978 -1.1078596 -14.2523002 -13.3078596 2
+#> 4 1 -14.20 -0.55 0.70579900 0.7774788 -13.4942010 0.2274788 2
+#> 5 1 -5.40 -3.30 -1.19645286 -0.3341694 -6.5964529 -3.6341694 2
+#> 6 1 -4.10 -2.55 -0.92970397 0.9035829 -5.0297040 -1.6464171 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7120 -37350 6475
+#> initial value 998.131940
+#> iter 2 value 846.535155
+#> iter 3 value 842.959247
+#> iter 4 value 842.320660
+#> iter 5 value 792.807565
+#> iter 6 value 782.177254
+#> iter 7 value 780.464578
+#> iter 8 value 780.426169
+#> iter 9 value 780.426123
+#> iter 10 value 780.426110
+#> iter 11 value 780.426056
+#> iter 12 value 780.425998
+#> iter 12 value 780.425998
+#> iter 12 value 780.425998
+#> final value 780.425998
+#> converged
+#> This is Run number 197
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.3565641 -0.3814313 -0.9065641 -13.581431 1
+#> 2 1 -3.10 -5.40 -1.3982304 0.9258198 -4.4982304 -4.474180 2
+#> 3 1 -14.60 -12.20 -0.7949762 -1.0543012 -15.3949762 -13.254301 2
+#> 4 1 -14.20 -0.55 2.8948784 2.5623493 -11.3051216 2.012349 2
+#> 5 1 -5.40 -3.30 0.4196487 -0.1334840 -4.9803513 -3.433484 2
+#> 6 1 -4.10 -2.55 2.3784499 -1.3179442 -1.7215501 -3.867944 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7100 -36700 6350
+#> initial value 998.131940
+#> iter 2 value 855.910372
+#> iter 3 value 853.321345
+#> iter 4 value 852.950268
+#> iter 5 value 801.621256
+#> iter 6 value 791.239347
+#> iter 7 value 789.448794
+#> iter 8 value 789.406887
+#> iter 9 value 789.406812
+#> iter 10 value 789.406780
+#> iter 11 value 789.406731
+#> iter 12 value 789.406691
+#> iter 12 value 789.406691
+#> iter 12 value 789.406691
+#> final value 789.406691
+#> converged
+#> This is Run number 198
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.08824033 -0.6094064 -0.4617597 -13.8094064 1
+#> 2 1 -3.10 -5.40 -0.03725672 -0.9907419 -3.1372567 -6.3907419 1
+#> 3 1 -14.60 -12.20 3.55394712 1.8953880 -11.0460529 -10.3046120 2
+#> 4 1 -14.20 -0.55 -0.26865078 1.3179818 -14.4686508 0.7679818 2
+#> 5 1 -5.40 -3.30 0.67731874 -0.1664248 -4.7226813 -3.4664248 2
+#> 6 1 -4.10 -2.55 1.19904057 -0.1313012 -2.9009594 -2.6813012 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5840 -34675 6625
+#> initial value 998.131940
+#> iter 2 value 879.807450
+#> iter 3 value 877.744135
+#> iter 4 value 874.859282
+#> iter 5 value 817.889848
+#> iter 6 value 808.624187
+#> iter 7 value 806.936616
+#> iter 8 value 806.904067
+#> iter 9 value 806.904017
+#> iter 9 value 806.904011
+#> iter 9 value 806.904011
+#> final value 806.904011
+#> converged
+#> This is Run number 199
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.4181505 -0.09904670 -0.1318495 -13.2990467 1
+#> 2 1 -3.10 -5.40 -0.3739264 0.68697362 -3.4739264 -4.7130264 1
+#> 3 1 -14.60 -12.20 0.3307118 -0.36971061 -14.2692882 -12.5697106 2
+#> 4 1 -14.20 -0.55 1.1531712 0.03933174 -13.0468288 -0.5106683 2
+#> 5 1 -5.40 -3.30 -0.7378131 -0.01826230 -6.1378131 -3.3182623 2
+#> 6 1 -4.10 -2.55 0.6505477 0.46066348 -3.4494523 -2.0893365 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -35650 6350
+#> initial value 998.131940
+#> iter 2 value 869.592174
+#> iter 3 value 867.673163
+#> iter 4 value 866.608359
+#> iter 5 value 812.291789
+#> iter 6 value 802.459285
+#> iter 7 value 800.652963
+#> iter 8 value 800.612596
+#> iter 9 value 800.612515
+#> iter 9 value 800.612511
+#> iter 9 value 800.612511
+#> final value 800.612511
+#> converged
+#> This is Run number 200
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.3286324 1.9889056 -1.878632 -11.211094 1
+#> 2 1 -3.10 -5.40 1.5169832 0.7642022 -1.583017 -4.635798 1
+#> 3 1 -14.60 -12.20 1.2739884 -0.1053637 -13.326012 -12.305364 2
+#> 4 1 -14.20 -0.55 -1.3879096 -0.7042969 -15.587910 -1.254297 2
+#> 5 1 -5.40 -3.30 0.3681653 -0.4306773 -5.031835 -3.730677 2
+#> 6 1 -4.10 -2.55 2.6574841 1.6127390 -1.442516 -0.937261 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7000 -37775 5775
+#> initial value 998.131940
+#> iter 2 value 844.710179
+#> iter 3 value 840.267926
+#> iter 4 value 837.619606
+#> iter 5 value 791.011790
+#> iter 6 value 780.318036
+#> iter 7 value 778.464803
+#> iter 8 value 778.415305
+#> iter 9 value 778.415233
+#> iter 10 value 778.415220
+#> iter 11 value 778.415190
+#> iter 12 value 778.415157
+#> iter 12 value 778.415157
+#> iter 12 value 778.415157
+#> final value 778.415157
+#> converged
+#> This is Run number 201
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.60448751 -0.26936859 -1.154488 -13.4693686 1
+#> 2 1 -3.10 -5.40 1.04008394 -0.92246289 -2.059916 -6.3224629 1
+#> 3 1 -14.60 -12.20 1.52639950 -0.01853393 -13.073601 -12.2185339 2
+#> 4 1 -14.20 -0.55 -0.05578399 0.94096352 -14.255784 0.3909635 2
+#> 5 1 -5.40 -3.30 -0.84633573 -0.17176101 -6.246336 -3.4717610 2
+#> 6 1 -4.10 -2.55 0.47675628 -0.72149710 -3.623244 -3.2714971 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7180 -37375 5800
+#> initial value 998.131940
+#> iter 2 value 849.892326
+#> iter 3 value 846.639908
+#> iter 4 value 845.424872
+#> iter 5 value 797.084670
+#> iter 6 value 786.491216
+#> iter 7 value 784.582468
+#> iter 8 value 784.531356
+#> iter 9 value 784.531253
+#> iter 10 value 784.531239
+#> iter 11 value 784.531202
+#> iter 12 value 784.531158
+#> iter 12 value 784.531158
+#> iter 12 value 784.531158
+#> final value 784.531158
+#> converged
+#> This is Run number 202
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.1682514 2.2069740 0.6182514 -10.9930260 1
+#> 2 1 -3.10 -5.40 2.7578556 0.5435083 -0.3421444 -4.8564917 1
+#> 3 1 -14.60 -12.20 1.0423797 1.8822904 -13.5576203 -10.3177096 2
+#> 4 1 -14.20 -0.55 -0.7068249 1.0454586 -14.9068249 0.4954586 2
+#> 5 1 -5.40 -3.30 -0.2871837 0.5805517 -5.6871837 -2.7194483 2
+#> 6 1 -4.10 -2.55 1.9104225 1.5506022 -2.1895775 -0.9993978 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5700 -35400 7075
+#> initial value 998.131940
+#> iter 2 value 868.521543
+#> iter 3 value 864.571877
+#> iter 4 value 860.453971
+#> iter 5 value 805.076838
+#> iter 6 value 795.486141
+#> iter 7 value 793.850474
+#> iter 8 value 793.820536
+#> iter 9 value 793.820498
+#> iter 9 value 793.820495
+#> iter 9 value 793.820495
+#> final value 793.820495
+#> converged
+#> This is Run number 203
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.4411590 1.6178889 -0.108841 -11.5821111 1
+#> 2 1 -3.10 -5.40 -0.3427403 -0.2824832 -3.442740 -5.6824832 1
+#> 3 1 -14.60 -12.20 2.1044807 1.3285094 -12.495519 -10.8714906 2
+#> 4 1 -14.20 -0.55 1.2234276 1.3163622 -12.976572 0.7663622 2
+#> 5 1 -5.40 -3.30 2.1449481 1.4113263 -3.255052 -1.8886737 2
+#> 6 1 -4.10 -2.55 0.5522771 0.6752234 -3.547723 -1.8747766 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5800 -34975 6275
+#> initial value 998.131940
+#> iter 2 value 878.313908
+#> iter 3 value 875.117145
+#> iter 4 value 870.747762
+#> iter 5 value 815.798699
+#> iter 6 value 806.429055
+#> iter 7 value 804.669151
+#> iter 8 value 804.632553
+#> iter 9 value 804.632497
+#> iter 10 value 804.632476
+#> iter 11 value 804.632439
+#> iter 12 value 804.632418
+#> iter 12 value 804.632418
+#> iter 12 value 804.632418
+#> final value 804.632418
+#> converged
+#> This is Run number 204
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.2800345 0.3264201 -0.8300345 -12.8735799 1
+#> 2 1 -3.10 -5.40 1.2718849 -1.4462789 -1.8281151 -6.8462789 1
+#> 3 1 -14.60 -12.20 1.1941175 2.3627337 -13.4058825 -9.8372663 2
+#> 4 1 -14.20 -0.55 0.0587319 0.6601346 -14.1412681 0.1101346 2
+#> 5 1 -5.40 -3.30 2.4374082 0.8218695 -2.9625918 -2.4781305 2
+#> 6 1 -4.10 -2.55 -0.1653879 0.8804388 -4.2653879 -1.6695612 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7580 -36650 5575
+#> initial value 998.131940
+#> iter 2 value 860.155734
+#> iter 3 value 858.442594
+#> iter 4 value 858.402595
+#> iter 5 value 807.935756
+#> iter 6 value 797.818652
+#> iter 7 value 795.764247
+#> iter 8 value 795.706906
+#> iter 9 value 795.706713
+#> iter 9 value 795.706709
+#> iter 9 value 795.706709
+#> final value 795.706709
+#> converged
+#> This is Run number 205
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.575719479 1.2217463 0.02571948 -11.9782537 1
+#> 2 1 -3.10 -5.40 -0.553836659 -0.5593638 -3.65383666 -5.9593638 1
+#> 3 1 -14.60 -12.20 -0.122987840 0.6950422 -14.72298784 -11.5049578 2
+#> 4 1 -14.20 -0.55 0.310678202 -0.1175640 -13.88932180 -0.6675640 2
+#> 5 1 -5.40 -3.30 -0.171063273 1.7745317 -5.57106327 -1.5254683 2
+#> 6 1 -4.10 -2.55 -0.007487008 2.1352614 -4.10748701 -0.4147386 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -36600 5850
+#> initial value 998.131940
+#> iter 2 value 860.233828
+#> iter 3 value 857.218916
+#> iter 4 value 855.331275
+#> iter 5 value 804.774730
+#> iter 6 value 794.555440
+#> iter 7 value 792.626943
+#> iter 8 value 792.577512
+#> iter 9 value 792.577405
+#> iter 10 value 792.577384
+#> iter 11 value 792.577346
+#> iter 12 value 792.577311
+#> iter 12 value 792.577311
+#> iter 12 value 792.577311
+#> final value 792.577311
+#> converged
+#> This is Run number 206
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.4313884 -0.08109476 -0.9813884 -13.281095 1
+#> 2 1 -3.10 -5.40 3.4072708 1.35034931 0.3072708 -4.049651 1
+#> 3 1 -14.60 -12.20 -0.6456188 0.63633644 -15.2456188 -11.563664 2
+#> 4 1 -14.20 -0.55 0.9997532 -0.94661641 -13.2002468 -1.496616 2
+#> 5 1 -5.40 -3.30 -1.0570524 1.08653198 -6.4570524 -2.213468 2
+#> 6 1 -4.10 -2.55 -0.6094024 -0.25126652 -4.7094024 -2.801267 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7300 -37150 5625
+#> initial value 998.131940
+#> iter 2 value 853.697382
+#> iter 3 value 851.056075
+#> iter 4 value 850.264757
+#> iter 5 value 801.393430
+#> iter 6 value 790.906029
+#> iter 7 value 788.895558
+#> iter 8 value 788.839295
+#> iter 9 value 788.839144
+#> iter 10 value 788.839129
+#> iter 11 value 788.839095
+#> iter 12 value 788.839050
+#> iter 12 value 788.839050
+#> iter 12 value 788.839050
+#> final value 788.839050
+#> converged
+#> This is Run number 207
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.12809312 2.9369925 -1.678093 -10.2630075 1
+#> 2 1 -3.10 -5.40 -1.34291221 1.8230701 -4.442912 -3.5769299 2
+#> 3 1 -14.60 -12.20 -0.55397690 1.6880484 -15.153977 -10.5119516 2
+#> 4 1 -14.20 -0.55 -1.18141886 0.2911606 -15.381419 -0.2588394 2
+#> 5 1 -5.40 -3.30 -0.21150041 0.7179864 -5.611500 -2.5820136 2
+#> 6 1 -4.10 -2.55 -0.04887962 -0.9659513 -4.148880 -3.5159513 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6300 -37350 6625
+#> initial value 998.131940
+#> iter 2 value 846.185755
+#> iter 3 value 839.963267
+#> iter 4 value 835.305979
+#> iter 5 value 786.779671
+#> iter 6 value 776.375423
+#> iter 7 value 774.717001
+#> iter 8 value 774.681076
+#> iter 9 value 774.681062
+#> iter 10 value 774.681047
+#> iter 11 value 774.681008
+#> iter 12 value 774.680971
+#> iter 12 value 774.680971
+#> iter 12 value 774.680971
+#> final value 774.680971
+#> converged
+#> This is Run number 208
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.0478131 0.48905641 1.497813 -12.710944 1
+#> 2 1 -3.10 -5.40 0.7632667 0.45242732 -2.336733 -4.947573 1
+#> 3 1 -14.60 -12.20 0.1261895 1.17184474 -14.473811 -11.028155 2
+#> 4 1 -14.20 -0.55 -0.5349202 -0.27999900 -14.734920 -0.829999 2
+#> 5 1 -5.40 -3.30 2.1738729 -0.20329561 -3.226127 -3.503296 1
+#> 6 1 -4.10 -2.55 0.1631515 -0.04054984 -3.936849 -2.590550 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6900 -38025 6875
+#> initial value 998.131940
+#> iter 2 value 834.999598
+#> iter 3 value 829.506238
+#> iter 4 value 827.892017
+#> iter 5 value 780.118335
+#> iter 6 value 769.412767
+#> iter 7 value 767.822607
+#> iter 8 value 767.790941
+#> iter 9 value 767.790861
+#> iter 10 value 767.790801
+#> iter 11 value 767.790745
+#> iter 11 value 767.790740
+#> iter 11 value 767.790740
+#> final value 767.790740
+#> converged
+#> This is Run number 209
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.4065586 0.2050601 0.8565586 -12.994940 1
+#> 2 1 -3.10 -5.40 -1.3527379 0.4271253 -4.4527379 -4.972875 1
+#> 3 1 -14.60 -12.20 -0.2441851 1.8445068 -14.8441851 -10.355493 2
+#> 4 1 -14.20 -0.55 0.9176072 3.8683484 -13.2823928 3.318348 2
+#> 5 1 -5.40 -3.30 0.9567661 -0.6538852 -4.4432339 -3.953885 2
+#> 6 1 -4.10 -2.55 -1.0394508 -0.3465534 -5.1394508 -2.896553 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -36450 5425
+#> initial value 998.131940
+#> iter 2 value 864.308542
+#> iter 3 value 861.530405
+#> iter 4 value 859.331888
+#> iter 5 value 809.109208
+#> iter 6 value 799.041611
+#> iter 7 value 796.943808
+#> iter 8 value 796.885988
+#> iter 9 value 796.885821
+#> iter 10 value 796.885803
+#> iter 11 value 796.885776
+#> iter 12 value 796.885746
+#> iter 12 value 796.885746
+#> iter 12 value 796.885746
+#> final value 796.885746
+#> converged
+#> This is Run number 210
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.49390439 -0.6901272 -1.043904 -13.890127 1
+#> 2 1 -3.10 -5.40 -0.26773248 0.6768361 -3.367732 -4.723164 1
+#> 3 1 -14.60 -12.20 1.38087453 0.2318921 -13.219125 -11.968108 2
+#> 4 1 -14.20 -0.55 1.16924385 2.6509907 -13.030756 2.100991 2
+#> 5 1 -5.40 -3.30 0.04622983 -0.9927535 -5.353770 -4.292754 2
+#> 6 1 -4.10 -2.55 0.78463913 -0.3319828 -3.315361 -2.881983 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6920 -36600 5475
+#> initial value 998.131940
+#> iter 2 value 862.065559
+#> iter 3 value 859.304012
+#> iter 4 value 857.385344
+#> iter 5 value 807.421782
+#> iter 6 value 797.262299
+#> iter 7 value 795.184750
+#> iter 8 value 795.127317
+#> iter 9 value 795.127154
+#> iter 10 value 795.127136
+#> iter 11 value 795.127107
+#> iter 12 value 795.127075
+#> iter 12 value 795.127075
+#> iter 12 value 795.127075
+#> final value 795.127075
+#> converged
+#> This is Run number 211
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.00741987 1.53694391 -0.5425801 -11.6630561 1
+#> 2 1 -3.10 -5.40 -0.18889939 -0.99424576 -3.2888994 -6.3942458 1
+#> 3 1 -14.60 -12.20 0.61138069 0.04030681 -13.9886193 -12.1596932 2
+#> 4 1 -14.20 -0.55 -1.88873540 0.27687408 -16.0887354 -0.2731259 2
+#> 5 1 -5.40 -3.30 0.71161981 1.45057356 -4.6883802 -1.8494264 2
+#> 6 1 -4.10 -2.55 0.33658836 1.51489222 -3.7634116 -1.0351078 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6760 -37300 5600
+#> initial value 998.131940
+#> iter 2 value 852.299715
+#> iter 3 value 847.801382
+#> iter 4 value 844.092125
+#> iter 5 value 796.692582
+#> iter 6 value 786.236488
+#> iter 7 value 784.289810
+#> iter 8 value 784.236383
+#> iter 9 value 784.236276
+#> iter 10 value 784.236262
+#> iter 11 value 784.236241
+#> iter 12 value 784.236219
+#> iter 12 value 784.236219
+#> iter 12 value 784.236219
+#> final value 784.236219
+#> converged
+#> This is Run number 212
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.1955838 2.27795694 -0.3544162 -10.9220431 1
+#> 2 1 -3.10 -5.40 0.2012945 -1.24797792 -2.8987055 -6.6479779 1
+#> 3 1 -14.60 -12.20 0.3993494 1.39216691 -14.2006506 -10.8078331 2
+#> 4 1 -14.20 -0.55 -0.8712329 0.08776695 -15.0712329 -0.4622331 2
+#> 5 1 -5.40 -3.30 -1.1210041 1.24611889 -6.5210041 -2.0538811 2
+#> 6 1 -4.10 -2.55 0.9362255 2.04149585 -3.1637745 -0.5085041 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7020 -36900 5375
+#> initial value 998.131940
+#> iter 2 value 858.558466
+#> iter 3 value 855.587135
+#> iter 4 value 853.591896
+#> iter 5 value 804.690332
+#> iter 6 value 794.405566
+#> iter 7 value 792.300359
+#> iter 8 value 792.240111
+#> iter 9 value 792.239934
+#> iter 10 value 792.239919
+#> iter 11 value 792.239893
+#> iter 12 value 792.239862
+#> iter 12 value 792.239862
+#> iter 12 value 792.239862
+#> final value 792.239862
+#> converged
+#> This is Run number 213
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.51011783 -0.48362869 -1.060118 -13.683629 1
+#> 2 1 -3.10 -5.40 0.24003228 3.85408873 -2.859968 -1.545911 2
+#> 3 1 -14.60 -12.20 2.48699839 0.73567544 -12.113002 -11.464325 2
+#> 4 1 -14.20 -0.55 -1.02153914 -0.39945095 -15.221539 -0.949451 2
+#> 5 1 -5.40 -3.30 2.00536228 -0.01950285 -3.394638 -3.319503 2
+#> 6 1 -4.10 -2.55 -0.03960423 -1.03587859 -4.139604 -3.585879 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6520 -36350 5875
+#> initial value 998.131940
+#> iter 2 value 863.488276
+#> iter 3 value 860.017260
+#> iter 4 value 857.031762
+#> iter 5 value 806.085865
+#> iter 6 value 796.018149
+#> iter 7 value 794.109628
+#> iter 8 value 794.062091
+#> iter 9 value 794.061997
+#> iter 10 value 794.061976
+#> iter 11 value 794.061942
+#> iter 12 value 794.061915
+#> iter 12 value 794.061915
+#> iter 12 value 794.061915
+#> final value 794.061915
+#> converged
+#> This is Run number 214
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.03916815 6.8388484 0.4891681 -6.3611516 1
+#> 2 1 -3.10 -5.40 0.83131022 -0.2757464 -2.2686898 -5.6757464 1
+#> 3 1 -14.60 -12.20 -0.29990500 -0.3328947 -14.8999050 -12.5328947 2
+#> 4 1 -14.20 -0.55 -0.27930131 1.0362854 -14.4793013 0.4862854 2
+#> 5 1 -5.40 -3.30 -0.29015387 -1.1406679 -5.6901539 -4.4406679 2
+#> 6 1 -4.10 -2.55 -0.02436472 1.6066615 -4.1243647 -0.9433385 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6140 -37350 7525
+#> initial value 998.131940
+#> iter 2 value 840.548833
+#> iter 3 value 833.637227
+#> iter 4 value 829.912164
+#> iter 5 value 779.595708
+#> iter 6 value 769.339172
+#> iter 7 value 767.766455
+#> iter 8 value 767.737480
+#> iter 9 value 767.737383
+#> iter 10 value 767.737340
+#> iter 11 value 767.737310
+#> iter 11 value 767.737302
+#> iter 11 value 767.737302
+#> final value 767.737302
+#> converged
+#> This is Run number 215
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.561763154 -0.2982590 2.011763 -13.498259 1
+#> 2 1 -3.10 -5.40 -0.602901189 0.6043676 -3.702901 -4.795632 1
+#> 3 1 -14.60 -12.20 -0.000316579 -0.3095222 -14.600317 -12.509522 2
+#> 4 1 -14.20 -0.55 0.263301396 1.9537550 -13.936699 1.403755 2
+#> 5 1 -5.40 -3.30 1.029932347 -0.1625724 -4.370068 -3.462572 2
+#> 6 1 -4.10 -2.55 0.026480142 0.5392624 -4.073520 -2.010738 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7200 -38075 5725
+#> initial value 998.131940
+#> iter 2 value 840.585767
+#> iter 3 value 836.272769
+#> iter 4 value 834.178537
+#> iter 5 value 788.398711
+#> iter 6 value 777.573117
+#> iter 7 value 775.728696
+#> iter 8 value 775.678593
+#> iter 9 value 775.678523
+#> iter 9 value 775.678513
+#> iter 9 value 775.678513
+#> final value 775.678513
+#> converged
+#> This is Run number 216
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.66828632 -0.1985588 2.118286 -13.39855875 1
+#> 2 1 -3.10 -5.40 0.01873175 -0.6432037 -3.081268 -6.04320373 1
+#> 3 1 -14.60 -12.20 0.55946671 0.4381047 -14.040533 -11.76189531 2
+#> 4 1 -14.20 -0.55 0.76788607 0.4798441 -13.432114 -0.07015591 2
+#> 5 1 -5.40 -3.30 -1.50231732 -1.3267402 -6.902317 -4.62674024 2
+#> 6 1 -4.10 -2.55 0.05635659 -0.1417200 -4.043643 -2.69171995 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7580 -37875 5600
+#> initial value 998.131940
+#> iter 2 value 843.579669
+#> iter 3 value 840.505990
+#> iter 4 value 839.942510
+#> iter 5 value 793.302097
+#> iter 6 value 782.491959
+#> iter 7 value 780.542804
+#> iter 8 value 780.487011
+#> iter 9 value 780.486882
+#> iter 9 value 780.486873
+#> iter 9 value 780.486873
+#> final value 780.486873
+#> converged
+#> This is Run number 217
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.2370272 -0.9188913 -0.7870272 -14.118891 1
+#> 2 1 -3.10 -5.40 0.4683085 1.2361033 -2.6316915 -4.163897 1
+#> 3 1 -14.60 -12.20 -0.4888360 1.1392376 -15.0888360 -11.060762 2
+#> 4 1 -14.20 -0.55 -0.2111245 1.9011068 -14.4111245 1.351107 2
+#> 5 1 -5.40 -3.30 1.5836584 -0.1441007 -3.8163416 -3.444101 2
+#> 6 1 -4.10 -2.55 1.2531416 0.5282860 -2.8468584 -2.021714 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -35450 7150
+#> initial value 998.131940
+#> iter 2 value 867.413344
+#> iter 3 value 864.961642
+#> iter 4 value 863.456078
+#> iter 5 value 807.281287
+#> iter 6 value 797.551311
+#> iter 7 value 795.910580
+#> iter 8 value 795.880719
+#> iter 9 value 795.880666
+#> iter 10 value 795.880618
+#> iter 11 value 795.880605
+#> iter 12 value 795.880568
+#> iter 12 value 795.880568
+#> iter 12 value 795.880568
+#> final value 795.880568
+#> converged
+#> This is Run number 218
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.4054621 0.5454071 -0.9554621 -12.65459292 1
+#> 2 1 -3.10 -5.40 1.0738699 -0.3003661 -2.0261301 -5.70036612 1
+#> 3 1 -14.60 -12.20 -0.4242810 0.8962216 -15.0242810 -11.30377844 2
+#> 4 1 -14.20 -0.55 0.5787500 0.5772306 -13.6212500 0.02723057 2
+#> 5 1 -5.40 -3.30 -0.2908292 -0.3798646 -5.6908292 -3.67986463 2
+#> 6 1 -4.10 -2.55 0.6420155 -0.7346397 -3.4579845 -3.28463967 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6260 -35500 5950
+#> initial value 998.131940
+#> iter 2 value 873.767219
+#> iter 3 value 871.024921
+#> iter 4 value 868.021416
+#> iter 5 value 814.554851
+#> iter 6 value 804.909257
+#> iter 7 value 803.025518
+#> iter 8 value 802.981703
+#> iter 9 value 802.981613
+#> iter 10 value 802.981588
+#> iter 11 value 802.981550
+#> iter 12 value 802.981526
+#> iter 12 value 802.981526
+#> iter 12 value 802.981526
+#> final value 802.981526
+#> converged
+#> This is Run number 219
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.03909853 -0.8379911 -0.5890985 -14.0379911 1
+#> 2 1 -3.10 -5.40 1.20951256 0.3957147 -1.8904874 -5.0042853 1
+#> 3 1 -14.60 -12.20 -0.32738877 2.0703041 -14.9273888 -10.1296959 2
+#> 4 1 -14.20 -0.55 0.71712521 0.7401823 -13.4828748 0.1901823 2
+#> 5 1 -5.40 -3.30 -0.53060762 0.8000549 -5.9306076 -2.4999451 2
+#> 6 1 -4.10 -2.55 -0.47882894 3.0745738 -4.5788289 0.5245738 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7940 -38175 4000
+#> initial value 998.131940
+#> iter 2 value 846.004158
+#> iter 3 value 843.484327
+#> iter 4 value 841.890733
+#> iter 5 value 798.642387
+#> iter 6 value 788.278772
+#> iter 7 value 785.404581
+#> iter 8 value 785.292579
+#> iter 9 value 785.291881
+#> iter 10 value 785.291859
+#> iter 10 value 785.291857
+#> iter 10 value 785.291851
+#> final value 785.291851
+#> converged
+#> This is Run number 220
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 4.5325359 2.3052061 3.982536 -10.894794 1
+#> 2 1 -3.10 -5.40 3.7376050 -0.9864284 0.637605 -6.386428 1
+#> 3 1 -14.60 -12.20 0.0622845 -0.6639699 -14.537716 -12.863970 2
+#> 4 1 -14.20 -0.55 -0.1838607 2.9756654 -14.383861 2.425665 2
+#> 5 1 -5.40 -3.30 1.2762321 0.2811649 -4.123768 -3.018835 2
+#> 6 1 -4.10 -2.55 0.2523981 0.2106335 -3.847602 -2.339367 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -36625 5925
+#> initial value 998.131940
+#> iter 2 value 859.690921
+#> iter 3 value 855.635235
+#> iter 4 value 852.159499
+#> iter 5 value 802.122349
+#> iter 6 value 791.934581
+#> iter 7 value 790.058578
+#> iter 8 value 790.011886
+#> iter 9 value 790.011806
+#> iter 10 value 790.011787
+#> iter 11 value 790.011755
+#> iter 12 value 790.011730
+#> iter 12 value 790.011730
+#> iter 12 value 790.011730
+#> final value 790.011730
+#> converged
+#> This is Run number 221
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.4865964 1.2432057 0.9365964 -11.9567943 1
+#> 2 1 -3.10 -5.40 1.4557191 0.6375309 -1.6442809 -4.7624691 1
+#> 3 1 -14.60 -12.20 0.1866966 -0.9161204 -14.4133034 -13.1161204 2
+#> 4 1 -14.20 -0.55 1.1944419 0.3715710 -13.0055581 -0.1784290 2
+#> 5 1 -5.40 -3.30 1.8871776 -0.6147566 -3.5128224 -3.9147566 1
+#> 6 1 -4.10 -2.55 -0.5849015 1.7463018 -4.6849015 -0.8036982 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6340 -36750 4475
+#> initial value 998.131940
+#> iter 2 value 864.957486
+#> iter 3 value 858.287946
+#> iter 4 value 849.168797
+#> iter 5 value 804.422876
+#> iter 6 value 794.560210
+#> iter 7 value 792.050998
+#> iter 8 value 791.965487
+#> iter 9 value 791.965014
+#> iter 10 value 791.965001
+#> iter 10 value 791.965000
+#> iter 10 value 791.964995
+#> final value 791.964995
+#> converged
+#> This is Run number 222
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.5548302 0.9392740 -1.104830 -12.2607260 1
+#> 2 1 -3.10 -5.40 0.0268062 -1.8538888 -3.073194 -7.2538888 1
+#> 3 1 -14.60 -12.20 -0.4016416 -1.1491968 -15.001642 -13.3491968 2
+#> 4 1 -14.20 -0.55 2.4187518 0.9808984 -11.781248 0.4308984 2
+#> 5 1 -5.40 -3.30 0.4726978 2.4688643 -4.927302 -0.8311357 2
+#> 6 1 -4.10 -2.55 -0.3756296 1.6932975 -4.475630 -0.8567025 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6620 -37700 5750
+#> initial value 998.131940
+#> iter 2 value 846.136203
+#> iter 3 value 840.275349
+#> iter 4 value 835.085738
+#> iter 5 value 789.275805
+#> iter 6 value 778.700130
+#> iter 7 value 776.860491
+#> iter 8 value 776.811240
+#> iter 9 value 776.811178
+#> iter 9 value 776.811168
+#> iter 9 value 776.811168
+#> final value 776.811168
+#> converged
+#> This is Run number 223
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.8543258 0.9974783 0.3043258 -12.2025217 1
+#> 2 1 -3.10 -5.40 2.0752079 0.0114285 -1.0247921 -5.3885715 1
+#> 3 1 -14.60 -12.20 0.2003957 0.6770154 -14.3996043 -11.5229846 2
+#> 4 1 -14.20 -0.55 -1.5434896 -1.4050096 -15.7434896 -1.9550096 2
+#> 5 1 -5.40 -3.30 2.0757314 2.7977009 -3.3242686 -0.5022991 2
+#> 6 1 -4.10 -2.55 -0.5458166 0.2061074 -4.6458166 -2.3438926 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6520 -34650 6275
+#> initial value 998.131940
+#> iter 2 value 881.879441
+#> iter 3 value 881.376113
+#> iter 4 value 880.842587
+#> iter 5 value 823.882465
+#> iter 6 value 814.569351
+#> iter 7 value 812.757385
+#> iter 8 value 812.718110
+#> iter 9 value 812.718011
+#> iter 9 value 812.718002
+#> iter 9 value 812.718002
+#> final value 812.718002
+#> converged
+#> This is Run number 224
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.607683262 0.4693575 0.05768326 -12.730643 1
+#> 2 1 -3.10 -5.40 0.535760733 -0.5115665 -2.56423927 -5.911566 1
+#> 3 1 -14.60 -12.20 -1.422254869 -0.4982201 -16.02225487 -12.698220 2
+#> 4 1 -14.20 -0.55 0.174944705 -1.2003605 -14.02505529 -1.750360 2
+#> 5 1 -5.40 -3.30 -0.009232878 -1.0129717 -5.40923288 -4.312972 2
+#> 6 1 -4.10 -2.55 -0.188300580 -0.3591890 -4.28830058 -2.909189 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6220 -33400 5375
+#> initial value 998.131940
+#> iter 2 value 900.416554
+#> iter 3 value 890.481100
+#> iter 4 value 889.396136
+#> iter 5 value 840.195636
+#> iter 6 value 832.681784
+#> iter 7 value 830.758060
+#> iter 8 value 830.712096
+#> iter 9 value 830.711776
+#> iter 10 value 830.711762
+#> iter 11 value 830.711622
+#> iter 12 value 830.711445
+#> iter 12 value 830.711445
+#> iter 12 value 830.711445
+#> final value 830.711445
+#> converged
+#> This is Run number 225
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.8273781 2.38616209 -2.377378 -10.8138379 1
+#> 2 1 -3.10 -5.40 -0.7995197 1.46343160 -3.899520 -3.9365684 1
+#> 3 1 -14.60 -12.20 0.1586917 0.04203672 -14.441308 -12.1579633 2
+#> 4 1 -14.20 -0.55 0.7442883 1.06152924 -13.455712 0.5115292 2
+#> 5 1 -5.40 -3.30 -0.3621932 -0.51199653 -5.762193 -3.8119965 2
+#> 6 1 -4.10 -2.55 1.1395757 0.08459677 -2.960424 -2.4654032 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6740 -35750 6850
+#> initial value 998.131940
+#> iter 2 value 865.302573
+#> iter 3 value 863.439211
+#> iter 4 value 863.157435
+#> iter 5 value 808.260117
+#> iter 6 value 798.292168
+#> iter 7 value 796.597646
+#> iter 8 value 796.563594
+#> iter 9 value 796.563535
+#> iter 10 value 796.563512
+#> iter 11 value 796.563459
+#> iter 12 value 796.563416
+#> iter 12 value 796.563416
+#> iter 12 value 796.563416
+#> final value 796.563416
+#> converged
+#> This is Run number 226
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.1467926 0.46413638 2.596793 -12.7358636 1
+#> 2 1 -3.10 -5.40 0.9841071 0.09444402 -2.115893 -5.3055560 1
+#> 3 1 -14.60 -12.20 0.2080483 0.41035160 -14.391952 -11.7896484 2
+#> 4 1 -14.20 -0.55 -1.3914311 -0.25283946 -15.591431 -0.8028395 2
+#> 5 1 -5.40 -3.30 0.1900429 1.28538298 -5.209957 -2.0146170 2
+#> 6 1 -4.10 -2.55 -1.3982069 0.73350063 -5.498207 -1.8164994 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -36325 5650
+#> initial value 998.131940
+#> iter 2 value 864.804474
+#> iter 3 value 862.192023
+#> iter 4 value 860.338611
+#> iter 5 value 809.283416
+#> iter 6 value 799.227513
+#> iter 7 value 797.212863
+#> iter 8 value 797.159794
+#> iter 9 value 797.159655
+#> iter 10 value 797.159634
+#> iter 11 value 797.159599
+#> iter 12 value 797.159566
+#> iter 12 value 797.159566
+#> iter 12 value 797.159566
+#> final value 797.159566
+#> converged
+#> This is Run number 227
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.3158946 -0.4753950 0.7658946 -13.67539505 1
+#> 2 1 -3.10 -5.40 -0.3133233 -0.3698650 -3.4133233 -5.76986504 1
+#> 3 1 -14.60 -12.20 -0.2148081 0.4728592 -14.8148081 -11.72714084 2
+#> 4 1 -14.20 -0.55 3.1352365 -1.0656513 -11.0647635 -1.61565135 2
+#> 5 1 -5.40 -3.30 2.0599385 3.2222442 -3.3400615 -0.07775581 2
+#> 6 1 -4.10 -2.55 -0.1245836 -0.4593172 -4.2245836 -3.00931717 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -34675 5125
+#> initial value 998.131940
+#> iter 2 value 887.429057
+#> iter 3 value 886.491038
+#> iter 4 value 884.952283
+#> iter 5 value 830.214633
+#> iter 6 value 821.179739
+#> iter 7 value 818.995201
+#> iter 8 value 818.941149
+#> iter 9 value 818.940972
+#> iter 10 value 818.940951
+#> iter 11 value 818.940918
+#> iter 12 value 818.940888
+#> iter 12 value 818.940888
+#> iter 12 value 818.940888
+#> final value 818.940888
+#> converged
+#> This is Run number 228
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.92568734 1.7316891 1.375687 -11.468311 1
+#> 2 1 -3.10 -5.40 0.80676970 2.5671633 -2.293230 -2.832837 1
+#> 3 1 -14.60 -12.20 0.51784558 1.6925236 -14.082154 -10.507476 2
+#> 4 1 -14.20 -0.55 -0.05444423 3.0350703 -14.254444 2.485070 2
+#> 5 1 -5.40 -3.30 1.59981196 0.9035731 -3.800188 -2.396427 2
+#> 6 1 -4.10 -2.55 0.81605091 -0.4801990 -3.283949 -3.030199 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7240 -36825 5200
+#> initial value 998.131940
+#> iter 2 value 860.169261
+#> iter 3 value 857.851646
+#> iter 4 value 856.648247
+#> iter 5 value 807.523794
+#> iter 6 value 797.303421
+#> iter 7 value 795.081142
+#> iter 8 value 795.015040
+#> iter 9 value 795.014807
+#> iter 10 value 795.014795
+#> iter 11 value 795.014769
+#> iter 12 value 795.014731
+#> iter 12 value 795.014731
+#> iter 12 value 795.014731
+#> final value 795.014731
+#> converged
+#> This is Run number 229
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.4572241 -1.0334591 2.907224 -14.2334591 1
+#> 2 1 -3.10 -5.40 1.3384681 1.6278816 -1.761532 -3.7721184 1
+#> 3 1 -14.60 -12.20 0.7952035 0.9156107 -13.804797 -11.2843893 2
+#> 4 1 -14.20 -0.55 -0.2602938 0.2415113 -14.460294 -0.3084887 2
+#> 5 1 -5.40 -3.30 -1.1734813 -0.1704749 -6.573481 -3.4704749 2
+#> 6 1 -4.10 -2.55 1.0187373 0.9836984 -3.081263 -1.5663016 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6680 -36275 7175
+#> initial value 998.131940
+#> iter 2 value 856.750264
+#> iter 3 value 853.820603
+#> iter 4 value 853.345465
+#> iter 5 value 799.454074
+#> iter 6 value 789.273982
+#> iter 7 value 787.644881
+#> iter 8 value 787.615030
+#> iter 9 value 787.614982
+#> iter 10 value 787.614956
+#> iter 11 value 787.614904
+#> iter 12 value 787.614868
+#> iter 12 value 787.614868
+#> iter 12 value 787.614868
+#> final value 787.614868
+#> converged
+#> This is Run number 230
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.3670123 -0.5454151 0.8170123 -13.745415088 1
+#> 2 1 -3.10 -5.40 2.8100269 1.0072883 -0.2899731 -4.392711655 1
+#> 3 1 -14.60 -12.20 0.1843117 1.4703301 -14.4156883 -10.729669866 2
+#> 4 1 -14.20 -0.55 0.9582980 0.5516586 -13.2417020 0.001658554 2
+#> 5 1 -5.40 -3.30 2.7507964 4.1435901 -2.6492036 0.843590112 2
+#> 6 1 -4.10 -2.55 3.8220638 2.8693731 -0.2779362 0.319373116 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7140 -37475 7075
+#> initial value 998.131940
+#> iter 2 value 841.150276
+#> iter 3 value 836.956487
+#> iter 4 value 836.726130
+#> iter 5 value 786.735242
+#> iter 6 value 776.098083
+#> iter 7 value 774.514931
+#> iter 8 value 774.486038
+#> iter 9 value 774.485958
+#> iter 10 value 774.485906
+#> iter 11 value 774.485848
+#> iter 12 value 774.485833
+#> iter 12 value 774.485833
+#> iter 12 value 774.485833
+#> final value 774.485833
+#> converged
+#> This is Run number 231
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.4911843 0.3890723 2.941184 -12.8109277 1
+#> 2 1 -3.10 -5.40 0.3865471 1.1087142 -2.713453 -4.2912858 1
+#> 3 1 -14.60 -12.20 3.3603668 0.9241733 -11.239633 -11.2758267 1
+#> 4 1 -14.20 -0.55 -0.5978765 0.3022616 -14.797876 -0.2477384 2
+#> 5 1 -5.40 -3.30 2.2806319 -1.0169474 -3.119368 -4.3169474 1
+#> 6 1 -4.10 -2.55 1.1239265 0.1650019 -2.976074 -2.3849981 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6220 -36800 6650
+#> initial value 998.131940
+#> iter 2 value 853.413955
+#> iter 3 value 848.131918
+#> iter 4 value 844.049696
+#> iter 5 value 793.564673
+#> iter 6 value 783.337663
+#> iter 7 value 781.653798
+#> iter 8 value 781.618090
+#> iter 9 value 781.618050
+#> iter 10 value 781.618030
+#> iter 11 value 781.618007
+#> iter 12 value 781.617974
+#> iter 12 value 781.617974
+#> iter 12 value 781.617974
+#> final value 781.617974
+#> converged
+#> This is Run number 232
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.94649780 2.00461372 -1.496498 -11.1953863 1
+#> 2 1 -3.10 -5.40 -0.43611418 -0.24815533 -3.536114 -5.6481553 1
+#> 3 1 -14.60 -12.20 0.07384209 0.79969251 -14.526158 -11.4003075 2
+#> 4 1 -14.20 -0.55 0.55948675 0.00551342 -13.640513 -0.5444866 2
+#> 5 1 -5.40 -3.30 0.62010052 0.31803846 -4.779899 -2.9819615 2
+#> 6 1 -4.10 -2.55 1.90289555 -0.26349189 -2.197104 -2.8134919 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6540 -36675 5100
+#> initial value 998.131940
+#> iter 2 value 863.138716
+#> iter 3 value 858.548820
+#> iter 4 value 853.263450
+#> iter 5 value 805.492624
+#> iter 6 value 795.436894
+#> iter 7 value 793.250066
+#> iter 8 value 793.185735
+#> iter 9 value 793.185526
+#> iter 9 value 793.185525
+#> iter 9 value 793.185525
+#> final value 793.185525
+#> converged
+#> This is Run number 233
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.43378643 0.2184106 0.8837864 -12.981589 1
+#> 2 1 -3.10 -5.40 -0.33258185 0.7908424 -3.4325818 -4.609158 1
+#> 3 1 -14.60 -12.20 0.08208239 1.0393206 -14.5179176 -11.160679 2
+#> 4 1 -14.20 -0.55 0.66388985 5.5404941 -13.5361101 4.990494 2
+#> 5 1 -5.40 -3.30 0.23348994 -0.1587373 -5.1665101 -3.458737 2
+#> 6 1 -4.10 -2.55 -0.14909086 -1.3159556 -4.2490909 -3.865956 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6680 -35825 5400
+#> initial value 998.131940
+#> iter 2 value 872.403412
+#> iter 3 value 870.134249
+#> iter 4 value 867.946335
+#> iter 5 value 815.996030
+#> iter 6 value 806.258745
+#> iter 7 value 804.145486
+#> iter 8 value 804.089576
+#> iter 9 value 804.089410
+#> iter 10 value 804.089391
+#> iter 11 value 804.089361
+#> iter 12 value 804.089332
+#> iter 12 value 804.089332
+#> iter 12 value 804.089332
+#> final value 804.089332
+#> converged
+#> This is Run number 234
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.140862 0.3307145 0.5908620 -12.8692855 1
+#> 2 1 -3.10 -5.40 1.332385 0.5823580 -1.7676154 -4.8176420 1
+#> 3 1 -14.60 -12.20 5.866352 0.8412036 -8.7336478 -11.3587964 1
+#> 4 1 -14.20 -0.55 -1.111482 0.1209739 -15.3114822 -0.4290261 2
+#> 5 1 -5.40 -3.30 1.422022 -0.4445774 -3.9779785 -3.7445774 2
+#> 6 1 -4.10 -2.55 4.304112 -1.2490640 0.2041117 -3.7990640 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -36775 6125
+#> initial value 998.131940
+#> iter 2 value 856.468196
+#> iter 3 value 853.187384
+#> iter 4 value 851.507706
+#> iter 5 value 800.979514
+#> iter 6 value 790.648586
+#> iter 7 value 788.815446
+#> iter 8 value 788.770934
+#> iter 9 value 788.770859
+#> iter 9 value 788.770849
+#> iter 9 value 788.770849
+#> final value 788.770849
+#> converged
+#> This is Run number 235
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.87873128 1.1216344 -1.428731 -12.078366 1
+#> 2 1 -3.10 -5.40 1.53231102 4.0723236 -1.567689 -1.327676 2
+#> 3 1 -14.60 -12.20 1.37769426 -0.3999933 -13.222306 -12.599993 2
+#> 4 1 -14.20 -0.55 0.54977709 -0.8086238 -13.650223 -1.358624 2
+#> 5 1 -5.40 -3.30 -0.04532407 -0.1027343 -5.445324 -3.402734 2
+#> 6 1 -4.10 -2.55 1.44179615 -1.2614602 -2.658204 -3.811460 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7100 -37500 6350
+#> initial value 998.131940
+#> iter 2 value 845.240436
+#> iter 3 value 841.448759
+#> iter 4 value 840.495027
+#> iter 5 value 791.678394
+#> iter 6 value 781.009575
+#> iter 7 value 779.279660
+#> iter 8 value 779.239581
+#> iter 9 value 779.239564
+#> iter 10 value 779.239545
+#> iter 11 value 779.239488
+#> iter 12 value 779.239416
+#> iter 12 value 779.239416
+#> iter 12 value 779.239416
+#> final value 779.239416
+#> converged
+#> This is Run number 236
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.47446318 -0.2112967 0.9244632 -13.4112967 1
+#> 2 1 -3.10 -5.40 -0.01569883 0.3804752 -3.1156988 -5.0195248 1
+#> 3 1 -14.60 -12.20 -0.06812916 5.2840882 -14.6681292 -6.9159118 2
+#> 4 1 -14.20 -0.55 0.35794495 0.1517922 -13.8420551 -0.3982078 2
+#> 5 1 -5.40 -3.30 1.88556459 -0.7545776 -3.5144354 -4.0545776 1
+#> 6 1 -4.10 -2.55 0.13358996 1.6352299 -3.9664100 -0.9147701 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6220 -36350 7375
+#> initial value 998.131940
+#> iter 2 value 854.737333
+#> iter 3 value 850.538326
+#> iter 4 value 848.553329
+#> iter 5 value 794.793208
+#> iter 6 value 784.724461
+#> iter 7 value 783.114981
+#> iter 8 value 783.086527
+#> iter 9 value 783.086482
+#> iter 10 value 783.086456
+#> iter 11 value 783.086408
+#> iter 12 value 783.086380
+#> iter 12 value 783.086380
+#> iter 12 value 783.086380
+#> final value 783.086380
+#> converged
+#> This is Run number 237
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.7521916 0.8584949 -2.302192 -12.3415051 1
+#> 2 1 -3.10 -5.40 -0.1740855 0.8209470 -3.274085 -4.5790530 1
+#> 3 1 -14.60 -12.20 -1.5389306 -0.4909919 -16.138931 -12.6909919 2
+#> 4 1 -14.20 -0.55 0.8276107 0.3662336 -13.372389 -0.1837664 2
+#> 5 1 -5.40 -3.30 0.3238574 1.1963219 -5.076143 -2.1036781 2
+#> 6 1 -4.10 -2.55 0.2645018 0.1713893 -3.835498 -2.3786107 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6960 -37625 6150
+#> initial value 998.131940
+#> iter 2 value 844.787441
+#> iter 3 value 840.476155
+#> iter 4 value 838.512543
+#> iter 5 value 790.641305
+#> iter 6 value 779.976332
+#> iter 7 value 778.214720
+#> iter 8 value 778.171900
+#> iter 9 value 778.171853
+#> iter 10 value 778.171831
+#> iter 11 value 778.171787
+#> iter 12 value 778.171753
+#> iter 12 value 778.171753
+#> iter 12 value 778.171753
+#> final value 778.171753
+#> converged
+#> This is Run number 238
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.8031308 0.05971412 2.253131 -13.14028588 1
+#> 2 1 -3.10 -5.40 -0.5115848 3.24663405 -3.611585 -2.15336595 2
+#> 3 1 -14.60 -12.20 -0.1866335 -0.17668199 -14.786633 -12.37668199 2
+#> 4 1 -14.20 -0.55 -0.5587304 0.60807608 -14.758730 0.05807608 2
+#> 5 1 -5.40 -3.30 -0.1080907 0.20391297 -5.508091 -3.09608703 2
+#> 6 1 -4.10 -2.55 0.4942018 -1.16087832 -3.605798 -3.71087832 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7420 -37550 5875
+#> initial value 998.131940
+#> iter 2 value 846.831959
+#> iter 3 value 843.788527
+#> iter 4 value 843.276354
+#> iter 5 value 795.234119
+#> iter 6 value 784.525805
+#> iter 7 value 782.647092
+#> iter 8 value 782.597032
+#> iter 9 value 782.596933
+#> iter 9 value 782.596932
+#> iter 9 value 782.596932
+#> final value 782.596932
+#> converged
+#> This is Run number 239
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.2890983 3.5597133 -0.8390983 -9.640287 1
+#> 2 1 -3.10 -5.40 1.1299882 -0.9602333 -1.9700118 -6.360233 1
+#> 3 1 -14.60 -12.20 0.8697001 0.4620590 -13.7302999 -11.737941 2
+#> 4 1 -14.20 -0.55 0.5805506 1.9815165 -13.6194494 1.431517 2
+#> 5 1 -5.40 -3.30 2.6877411 0.2876782 -2.7122589 -3.012322 1
+#> 6 1 -4.10 -2.55 0.8949654 0.4084996 -3.2050346 -2.141500 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -34775 5875
+#> initial value 998.131940
+#> iter 2 value 882.691341
+#> iter 3 value 881.549074
+#> iter 4 value 880.014825
+#> iter 5 value 824.256500
+#> iter 6 value 814.981499
+#> iter 7 value 813.075504
+#> iter 8 value 813.032190
+#> iter 9 value 813.032080
+#> iter 10 value 813.032049
+#> iter 11 value 813.032001
+#> iter 12 value 813.031971
+#> iter 12 value 813.031971
+#> iter 12 value 813.031971
+#> final value 813.031971
+#> converged
+#> This is Run number 240
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.3841560 0.11059225 -0.165844 -13.0894077 1
+#> 2 1 -3.10 -5.40 0.9281999 -0.89800441 -2.171800 -6.2980044 1
+#> 3 1 -14.60 -12.20 1.3618357 -0.73407015 -13.238164 -12.9340701 2
+#> 4 1 -14.20 -0.55 0.8958278 -0.43083585 -13.304172 -0.9808359 2
+#> 5 1 -5.40 -3.30 -1.0988134 -0.04411912 -6.498813 -3.3441191 2
+#> 6 1 -4.10 -2.55 0.5433744 -0.43859029 -3.556626 -2.9885903 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7820 -38000 5800
+#> initial value 998.131940
+#> iter 2 value 840.423027
+#> iter 3 value 837.367774
+#> iter 4 value 837.299185
+#> iter 5 value 790.727760
+#> iter 6 value 779.882840
+#> iter 7 value 778.041992
+#> iter 8 value 777.992136
+#> iter 9 value 777.992039
+#> iter 10 value 777.992010
+#> iter 11 value 777.991973
+#> iter 12 value 777.991934
+#> iter 12 value 777.991934
+#> iter 12 value 777.991934
+#> final value 777.991934
+#> converged
+#> This is Run number 241
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.1826669 -0.2374472 -0.3673331 -13.4374472 1
+#> 2 1 -3.10 -5.40 2.3782212 0.4718798 -0.7217788 -4.9281202 1
+#> 3 1 -14.60 -12.20 1.7402193 1.1670404 -12.8597807 -11.0329596 2
+#> 4 1 -14.20 -0.55 0.6788021 0.6815796 -13.5211979 0.1315796 2
+#> 5 1 -5.40 -3.30 -0.3342822 0.3235480 -5.7342822 -2.9764520 2
+#> 6 1 -4.10 -2.55 -0.7749447 1.3721732 -4.8749447 -1.1778268 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6620 -37950 6850
+#> initial value 998.131940
+#> iter 2 value 836.400381
+#> iter 3 value 830.141909
+#> iter 4 value 827.085290
+#> iter 5 value 779.533379
+#> iter 6 value 768.927739
+#> iter 7 value 767.331539
+#> iter 8 value 767.298789
+#> iter 9 value 767.298723
+#> iter 10 value 767.298672
+#> iter 11 value 767.298625
+#> iter 11 value 767.298621
+#> iter 11 value 767.298621
+#> final value 767.298621
+#> converged
+#> This is Run number 242
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.7769561 0.9946985 1.226956 -12.205301521 1
+#> 2 1 -3.10 -5.40 0.7605927 -0.8563481 -2.339407 -6.256348070 1
+#> 3 1 -14.60 -12.20 4.2047975 -0.8571613 -10.395203 -13.057161261 1
+#> 4 1 -14.20 -0.55 0.5795358 0.5558129 -13.620464 0.005812856 2
+#> 5 1 -5.40 -3.30 -0.4671461 0.6801192 -5.867146 -2.619880844 2
+#> 6 1 -4.10 -2.55 -0.4459831 4.0886642 -4.545983 1.538664248 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7200 -37000 5975
+#> initial value 998.131940
+#> iter 2 value 853.956379
+#> iter 3 value 851.248564
+#> iter 4 value 850.627350
+#> iter 5 value 800.768580
+#> iter 6 value 790.294734
+#> iter 7 value 788.405629
+#> iter 8 value 788.356930
+#> iter 9 value 788.356826
+#> iter 9 value 788.356821
+#> iter 9 value 788.356821
+#> final value 788.356821
+#> converged
+#> This is Run number 243
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.24303574 1.134409368 0.6930357 -12.065591 1
+#> 2 1 -3.10 -5.40 -0.06529325 0.004509223 -3.1652933 -5.395491 1
+#> 3 1 -14.60 -12.20 2.41760723 4.109072262 -12.1823928 -8.090928 2
+#> 4 1 -14.20 -0.55 -1.78068588 -0.456899638 -15.9806859 -1.006900 2
+#> 5 1 -5.40 -3.30 -0.20977069 2.214450761 -5.6097707 -1.085549 2
+#> 6 1 -4.10 -2.55 -0.31611234 0.227629671 -4.4161123 -2.322370 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7000 -37400 6750
+#> initial value 998.131940
+#> iter 2 value 844.335272
+#> iter 3 value 840.292868
+#> iter 4 value 839.527332
+#> iter 5 value 789.778349
+#> iter 6 value 779.163748
+#> iter 7 value 777.512992
+#> iter 8 value 777.478962
+#> iter 9 value 777.478914
+#> iter 10 value 777.478887
+#> iter 11 value 777.478829
+#> iter 12 value 777.478790
+#> iter 12 value 777.478790
+#> iter 12 value 777.478790
+#> final value 777.478790
+#> converged
+#> This is Run number 244
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.1185496 2.3751419 -0.4314504 -10.824858 1
+#> 2 1 -3.10 -5.40 -1.2794156 0.4968937 -4.3794156 -4.903106 1
+#> 3 1 -14.60 -12.20 2.0370469 0.9784832 -12.5629531 -11.221517 2
+#> 4 1 -14.20 -0.55 1.9878568 -0.4510366 -12.2121432 -1.001037 2
+#> 5 1 -5.40 -3.30 -0.7728222 0.9917704 -6.1728222 -2.308230 2
+#> 6 1 -4.10 -2.55 -0.6667971 -0.3786773 -4.7667971 -2.928677 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6740 -36650 5175
+#> initial value 998.131940
+#> iter 2 value 863.004922
+#> iter 3 value 859.393760
+#> iter 4 value 855.787717
+#> iter 5 value 807.093841
+#> iter 6 value 797.007143
+#> iter 7 value 794.830121
+#> iter 8 value 794.767063
+#> iter 9 value 794.766865
+#> iter 9 value 794.766858
+#> iter 9 value 794.766858
+#> final value 794.766858
+#> converged
+#> This is Run number 245
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.02164333 1.6880942 -0.5283567 -11.5119058 1
+#> 2 1 -3.10 -5.40 -1.15377969 1.4392913 -4.2537797 -3.9607087 2
+#> 3 1 -14.60 -12.20 3.10785763 1.0836570 -11.4921424 -11.1163430 2
+#> 4 1 -14.20 -0.55 0.29265046 -0.3172216 -13.9073495 -0.8672216 2
+#> 5 1 -5.40 -3.30 -0.68534003 -0.5186914 -6.0853400 -3.8186914 2
+#> 6 1 -4.10 -2.55 1.40026965 -0.2121482 -2.6997303 -2.7621482 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -35775 6875
+#> initial value 998.131940
+#> iter 2 value 865.147834
+#> iter 3 value 861.967442
+#> iter 4 value 859.654100
+#> iter 5 value 805.117656
+#> iter 6 value 795.271504
+#> iter 7 value 793.594075
+#> iter 8 value 793.561261
+#> iter 9 value 793.561247
+#> iter 10 value 793.561227
+#> iter 11 value 793.561172
+#> iter 12 value 793.561111
+#> iter 12 value 793.561111
+#> iter 12 value 793.561111
+#> final value 793.561111
+#> converged
+#> This is Run number 246
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.3497388 0.6664119 -0.8997388 -12.5335881 1
+#> 2 1 -3.10 -5.40 -0.4545210 3.3972272 -3.5545210 -2.0027728 2
+#> 3 1 -14.60 -12.20 1.1674545 -0.9554242 -13.4325455 -13.1554242 2
+#> 4 1 -14.20 -0.55 -0.5382219 1.0157685 -14.7382219 0.4657685 2
+#> 5 1 -5.40 -3.30 -0.5589700 1.3021706 -5.9589700 -1.9978294 2
+#> 6 1 -4.10 -2.55 3.2412103 2.0020780 -0.8587897 -0.5479220 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7220 -36875 6650
+#> initial value 998.131940
+#> iter 2 value 851.727089
+#> iter 3 value 848.848616
+#> iter 4 value 848.752040
+#> iter 5 value 797.526080
+#> iter 6 value 787.073831
+#> iter 7 value 785.388240
+#> iter 8 value 785.352463
+#> iter 9 value 785.352416
+#> iter 10 value 785.352387
+#> iter 11 value 785.352362
+#> iter 12 value 785.352284
+#> iter 12 value 785.352284
+#> iter 12 value 785.352284
+#> final value 785.352284
+#> converged
+#> This is Run number 247
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.2888187 -0.4739682 -0.8388187 -13.673968 1
+#> 2 1 -3.10 -5.40 2.7150291 -1.2848869 -0.3849709 -6.684887 1
+#> 3 1 -14.60 -12.20 3.3549110 -0.5789699 -11.2450890 -12.778970 1
+#> 4 1 -14.20 -0.55 0.6062672 -1.9996166 -13.5937328 -2.549617 2
+#> 5 1 -5.40 -3.30 2.7352664 2.6868800 -2.6647336 -0.613120 2
+#> 6 1 -4.10 -2.55 1.3120492 0.2055462 -2.7879508 -2.344454 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -35650 6400
+#> initial value 998.131940
+#> iter 2 value 869.294196
+#> iter 3 value 867.422357
+#> iter 4 value 866.481343
+#> iter 5 value 812.060388
+#> iter 6 value 802.216567
+#> iter 7 value 800.421084
+#> iter 8 value 800.381293
+#> iter 9 value 800.381213
+#> iter 10 value 800.381181
+#> iter 11 value 800.381129
+#> iter 12 value 800.381092
+#> iter 12 value 800.381092
+#> iter 12 value 800.381092
+#> final value 800.381092
+#> converged
+#> This is Run number 248
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.6030931 -0.1915626 0.05309309 -13.391563 1
+#> 2 1 -3.10 -5.40 -0.4012817 3.1793942 -3.50128172 -2.220606 2
+#> 3 1 -14.60 -12.20 -0.7204064 2.2044877 -15.32040640 -9.995512 2
+#> 4 1 -14.20 -0.55 -0.1328821 5.1362567 -14.33288212 4.586257 2
+#> 5 1 -5.40 -3.30 1.0544184 0.3946301 -4.34558155 -2.905370 2
+#> 6 1 -4.10 -2.55 1.2116599 1.3483194 -2.88834006 -1.201681 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -35575 5850
+#> initial value 998.131940
+#> iter 2 value 873.306767
+#> iter 3 value 871.032499
+#> iter 4 value 868.834425
+#> iter 5 value 815.457420
+#> iter 6 value 805.766527
+#> iter 7 value 803.833440
+#> iter 8 value 803.786946
+#> iter 9 value 803.786837
+#> iter 10 value 803.786811
+#> iter 11 value 803.786770
+#> iter 12 value 803.786741
+#> iter 12 value 803.786741
+#> iter 12 value 803.786741
+#> final value 803.786741
+#> converged
+#> This is Run number 249
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.18443740 -1.71730110 0.6344374 -14.917301 1
+#> 2 1 -3.10 -5.40 2.75696939 0.64660461 -0.3430306 -4.753395 1
+#> 3 1 -14.60 -12.20 0.73324662 1.76537419 -13.8667534 -10.434626 2
+#> 4 1 -14.20 -0.55 0.11555588 2.60154605 -14.0844441 2.051546 2
+#> 5 1 -5.40 -3.30 1.19138713 -0.12325538 -4.2086129 -3.423255 2
+#> 6 1 -4.10 -2.55 0.09576463 -0.09385245 -4.0042354 -2.643852 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6400 -37100 7200
+#> initial value 998.131940
+#> iter 2 value 845.978118
+#> iter 3 value 840.724114
+#> iter 4 value 838.364771
+#> iter 5 value 787.334541
+#> iter 6 value 776.998445
+#> iter 7 value 775.394394
+#> iter 8 value 775.364420
+#> iter 9 value 775.364365
+#> iter 10 value 775.364317
+#> iter 11 value 775.364268
+#> iter 11 value 775.364260
+#> iter 11 value 775.364260
+#> final value 775.364260
+#> converged
+#> This is Run number 250
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.70677441 2.80382302 0.1567744 -10.3961770 1
+#> 2 1 -3.10 -5.40 -0.49241047 0.19138983 -3.5924105 -5.2086102 1
+#> 3 1 -14.60 -12.20 0.02260755 3.05779528 -14.5773925 -9.1422047 2
+#> 4 1 -14.20 -0.55 -0.13215107 0.31537873 -14.3321511 -0.2346213 2
+#> 5 1 -5.40 -3.30 0.05273082 0.02646003 -5.3472692 -3.2735400 2
+#> 6 1 -4.10 -2.55 -0.36584155 -1.00917930 -4.4658416 -3.5591793 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -36250 7050
+#> initial value 998.131940
+#> iter 2 value 858.035684
+#> iter 3 value 854.547087
+#> iter 4 value 852.952103
+#> iter 5 value 799.335417
+#> iter 6 value 789.247390
+#> iter 7 value 787.597530
+#> iter 8 value 787.566112
+#> iter 9 value 787.566074
+#> iter 10 value 787.566056
+#> iter 11 value 787.565999
+#> iter 12 value 787.565959
+#> iter 12 value 787.565959
+#> iter 12 value 787.565959
+#> final value 787.565959
+#> converged
+#> This is Run number 251
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.8633979 1.93995357 -1.413398 -11.2600464 1
+#> 2 1 -3.10 -5.40 -0.3379980 1.54822353 -3.437998 -3.8517765 1
+#> 3 1 -14.60 -12.20 -0.5677089 0.91043482 -15.167709 -11.2895652 2
+#> 4 1 -14.20 -0.55 -0.7663440 -0.37453206 -14.966344 -0.9245321 2
+#> 5 1 -5.40 -3.30 0.6832707 -0.80419609 -4.716729 -4.1041961 2
+#> 6 1 -4.10 -2.55 -1.0207924 0.08287602 -5.120792 -2.4671240 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7340 -38400 5675
+#> initial value 998.131940
+#> iter 2 value 836.067172
+#> iter 3 value 831.643204
+#> iter 4 value 829.724410
+#> iter 5 value 784.995935
+#> iter 6 value 774.053144
+#> iter 7 value 772.231215
+#> iter 8 value 772.181132
+#> iter 9 value 772.181070
+#> iter 9 value 772.181065
+#> iter 9 value 772.181065
+#> final value 772.181065
+#> converged
+#> This is Run number 252
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.6285924 0.1429883 0.07859238 -13.057012 1
+#> 2 1 -3.10 -5.40 0.7910657 -0.1141896 -2.30893434 -5.514190 1
+#> 3 1 -14.60 -12.20 -0.7595728 1.3493265 -15.35957277 -10.850673 2
+#> 4 1 -14.20 -0.55 1.3219221 -0.6248254 -12.87807789 -1.174825 2
+#> 5 1 -5.40 -3.30 0.5216787 -0.3538833 -4.87832132 -3.653883 2
+#> 6 1 -4.10 -2.55 3.2654131 -0.9166259 -0.83458690 -3.466626 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6180 -35200 5775
+#> initial value 998.131940
+#> iter 2 value 878.306116
+#> iter 3 value 875.706095
+#> iter 4 value 872.369395
+#> iter 5 value 818.528768
+#> iter 6 value 809.072973
+#> iter 7 value 807.148564
+#> iter 8 value 807.103638
+#> iter 9 value 807.103538
+#> iter 10 value 807.103515
+#> iter 11 value 807.103481
+#> iter 12 value 807.103460
+#> iter 12 value 807.103460
+#> iter 12 value 807.103460
+#> final value 807.103460
+#> converged
+#> This is Run number 253
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.14601965 0.33108657 -0.4039803 -12.868913 1
+#> 2 1 -3.10 -5.40 -0.44024854 1.11089733 -3.5402485 -4.289103 1
+#> 3 1 -14.60 -12.20 1.02711495 1.19491520 -13.5728851 -11.005085 2
+#> 4 1 -14.20 -0.55 1.39465622 2.27926982 -12.8053438 1.729270 2
+#> 5 1 -5.40 -3.30 2.35617242 -0.03065405 -3.0438276 -3.330654 1
+#> 6 1 -4.10 -2.55 0.02542222 1.30079612 -4.0745778 -1.249204 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6900 -37025 5500
+#> initial value 998.131940
+#> iter 2 value 856.387392
+#> iter 3 value 852.868999
+#> iter 4 value 850.284654
+#> iter 5 value 801.777571
+#> iter 6 value 791.425307
+#> iter 7 value 789.397846
+#> iter 8 value 789.341240
+#> iter 9 value 789.341098
+#> iter 10 value 789.341082
+#> iter 11 value 789.341057
+#> iter 12 value 789.341030
+#> iter 12 value 789.341030
+#> iter 12 value 789.341030
+#> final value 789.341030
+#> converged
+#> This is Run number 254
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 4.2770840 -0.9876265 3.727084 -14.187627 1
+#> 2 1 -3.10 -5.40 -0.8703434 1.6622501 -3.970343 -3.737750 2
+#> 3 1 -14.60 -12.20 -0.0873493 1.2586506 -14.687349 -10.941349 2
+#> 4 1 -14.20 -0.55 1.3611363 -1.5405143 -12.838864 -2.090514 2
+#> 5 1 -5.40 -3.30 0.9970956 0.5490796 -4.402904 -2.750920 2
+#> 6 1 -4.10 -2.55 -0.7565813 -1.6618103 -4.856581 -4.211810 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -35125 6300
+#> initial value 998.131940
+#> iter 2 value 876.166774
+#> iter 3 value 875.098827
+#> iter 4 value 874.473562
+#> iter 5 value 818.731289
+#> iter 6 value 809.157745
+#> iter 7 value 807.335542
+#> iter 8 value 807.295080
+#> iter 9 value 807.294983
+#> iter 9 value 807.294978
+#> iter 9 value 807.294978
+#> final value 807.294978
+#> converged
+#> This is Run number 255
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.43166874 1.3723960 1.881669 -11.827604 1
+#> 2 1 -3.10 -5.40 1.50163739 1.7077688 -1.598363 -3.692231 1
+#> 3 1 -14.60 -12.20 1.04716632 0.7171094 -13.552834 -11.482891 2
+#> 4 1 -14.20 -0.55 -0.32038884 -1.1431478 -14.520389 -1.693148 2
+#> 5 1 -5.40 -3.30 -0.09400871 1.1477176 -5.494009 -2.152282 2
+#> 6 1 -4.10 -2.55 -0.74432698 -1.0317317 -4.844327 -3.581732 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6580 -36450 5975
+#> initial value 998.131940
+#> iter 2 value 861.643071
+#> iter 3 value 858.237064
+#> iter 4 value 855.633984
+#> iter 5 value 804.677488
+#> iter 6 value 794.541572
+#> iter 7 value 792.662897
+#> iter 8 value 792.616707
+#> iter 9 value 792.616621
+#> iter 10 value 792.616600
+#> iter 11 value 792.616562
+#> iter 12 value 792.616531
+#> iter 12 value 792.616531
+#> iter 12 value 792.616531
+#> final value 792.616531
+#> converged
+#> This is Run number 256
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.95647328 1.35205640 0.4064733 -11.84794360 1
+#> 2 1 -3.10 -5.40 -0.07171851 0.08484824 -3.1717185 -5.31515176 1
+#> 3 1 -14.60 -12.20 -1.19033905 1.20279084 -15.7903390 -10.99720916 2
+#> 4 1 -14.20 -0.55 0.64354316 0.50577392 -13.5564568 -0.04422608 2
+#> 5 1 -5.40 -3.30 2.35251732 -0.81967381 -3.0474827 -4.11967381 1
+#> 6 1 -4.10 -2.55 -0.94091864 1.59920509 -5.0409186 -0.95079491 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6760 -37950 7050
+#> initial value 998.131940
+#> iter 2 value 835.066336
+#> iter 3 value 829.208238
+#> iter 4 value 827.296085
+#> iter 5 value 779.096154
+#> iter 6 value 768.470451
+#> iter 7 value 766.894262
+#> iter 8 value 766.863892
+#> iter 9 value 766.863794
+#> iter 10 value 766.863734
+#> iter 11 value 766.863684
+#> iter 11 value 766.863679
+#> iter 11 value 766.863679
+#> final value 766.863679
+#> converged
+#> This is Run number 257
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.5784256 0.6043153 0.02842565 -12.5956847 1
+#> 2 1 -3.10 -5.40 0.7430814 0.2521758 -2.35691858 -5.1478242 1
+#> 3 1 -14.60 -12.20 1.6917571 1.0056062 -12.90824292 -11.1943938 2
+#> 4 1 -14.20 -0.55 -0.2611114 -0.3670253 -14.46111142 -0.9170253 2
+#> 5 1 -5.40 -3.30 1.2799635 0.7942253 -4.12003646 -2.5057747 2
+#> 6 1 -4.10 -2.55 0.6893978 0.1151406 -3.41060218 -2.4348594 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6720 -36225 6125
+#> initial value 998.131940
+#> iter 2 value 863.607205
+#> iter 3 value 861.043622
+#> iter 4 value 859.652159
+#> iter 5 value 807.419976
+#> iter 6 value 797.335150
+#> iter 7 value 795.475803
+#> iter 8 value 795.431284
+#> iter 9 value 795.431194
+#> iter 10 value 795.431178
+#> iter 11 value 795.431132
+#> iter 12 value 795.431083
+#> iter 12 value 795.431083
+#> iter 12 value 795.431083
+#> final value 795.431083
+#> converged
+#> This is Run number 258
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.2365839 0.2515878 -1.786584 -12.9484122 1
+#> 2 1 -3.10 -5.40 -1.3449420 -0.8062325 -4.444942 -6.2062325 1
+#> 3 1 -14.60 -12.20 -0.6797954 0.5693697 -15.279795 -11.6306303 2
+#> 4 1 -14.20 -0.55 2.1875367 0.7079137 -12.012463 0.1579137 2
+#> 5 1 -5.40 -3.30 1.2026982 1.4892599 -4.197302 -1.8107401 2
+#> 6 1 -4.10 -2.55 0.9044302 -0.7629164 -3.195570 -3.3129164 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -36650 6825
+#> initial value 998.131940
+#> iter 2 value 853.992102
+#> iter 3 value 850.859697
+#> iter 4 value 850.265091
+#> iter 5 value 798.065315
+#> iter 6 value 787.721949
+#> iter 7 value 786.044440
+#> iter 8 value 786.010309
+#> iter 9 value 786.010252
+#> iter 10 value 786.010204
+#> iter 11 value 786.010182
+#> iter 12 value 786.010139
+#> iter 12 value 786.010139
+#> iter 12 value 786.010139
+#> final value 786.010139
+#> converged
+#> This is Run number 259
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.16290373 -0.2026967 -0.7129037 -13.402697 1
+#> 2 1 -3.10 -5.40 -1.44251632 4.2939501 -4.5425163 -1.106050 2
+#> 3 1 -14.60 -12.20 0.33431021 5.9800954 -14.2656898 -6.219905 2
+#> 4 1 -14.20 -0.55 -0.02794031 -1.4745660 -14.2279403 -2.024566 2
+#> 5 1 -5.40 -3.30 2.11030767 -0.7653352 -3.2896923 -4.065335 1
+#> 6 1 -4.10 -2.55 0.23907045 1.2301284 -3.8609296 -1.319872 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5980 -36125 5425
+#> initial value 998.131940
+#> iter 2 value 868.752798
+#> iter 3 value 862.801289
+#> iter 4 value 854.973001
+#> iter 5 value 806.233080
+#> iter 6 value 796.417189
+#> iter 7 value 794.384222
+#> iter 8 value 794.329680
+#> iter 9 value 794.329537
+#> iter 9 value 794.329528
+#> iter 9 value 794.329524
+#> final value 794.329524
+#> converged
+#> This is Run number 260
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.98032891 1.0055967 0.4303289 -12.1944033 1
+#> 2 1 -3.10 -5.40 0.25058551 1.6017483 -2.8494145 -3.7982517 1
+#> 3 1 -14.60 -12.20 -0.09909323 -0.4442047 -14.6990932 -12.6442047 2
+#> 4 1 -14.20 -0.55 0.03527099 -0.2946315 -14.1647290 -0.8446315 2
+#> 5 1 -5.40 -3.30 -0.18911473 -0.6037894 -5.5891147 -3.9037894 2
+#> 6 1 -4.10 -2.55 1.27735360 0.1129826 -2.8226464 -2.4370174 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7620 -38275 5325
+#> initial value 998.131940
+#> iter 2 value 839.274892
+#> iter 3 value 835.851622
+#> iter 4 value 834.769445
+#> iter 5 value 789.884099
+#> iter 6 value 778.973792
+#> iter 7 value 776.973870
+#> iter 8 value 776.913000
+#> iter 9 value 776.912849
+#> iter 9 value 776.912839
+#> iter 9 value 776.912839
+#> final value 776.912839
+#> converged
+#> This is Run number 261
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.96646354 0.7920779 -1.516464 -12.407922 1
+#> 2 1 -3.10 -5.40 0.99179247 -0.6281186 -2.108208 -6.028119 1
+#> 3 1 -14.60 -12.20 -1.37708999 -0.6053112 -15.977090 -12.805311 2
+#> 4 1 -14.20 -0.55 2.19602582 2.8138008 -12.003974 2.263801 2
+#> 5 1 -5.40 -3.30 -0.08741177 -0.6125451 -5.487412 -3.912545 2
+#> 6 1 -4.10 -2.55 1.44819307 0.3107284 -2.651807 -2.239272 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7440 -38350 5350
+#> initial value 998.131940
+#> iter 2 value 838.314537
+#> iter 3 value 834.307852
+#> iter 4 value 832.393552
+#> iter 5 value 787.970384
+#> iter 6 value 777.060832
+#> iter 7 value 775.104252
+#> iter 8 value 775.045601
+#> iter 9 value 775.045478
+#> iter 9 value 775.045466
+#> iter 9 value 775.045466
+#> final value 775.045466
+#> converged
+#> This is Run number 262
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.0037079 0.6362866 0.4537079 -12.563713 1
+#> 2 1 -3.10 -5.40 0.8184227 0.4532423 -2.2815773 -4.946758 1
+#> 3 1 -14.60 -12.20 2.1385046 -1.5134610 -12.4614954 -13.713461 1
+#> 4 1 -14.20 -0.55 0.4350746 -0.4986116 -13.7649254 -1.048612 2
+#> 5 1 -5.40 -3.30 -0.1639317 0.6188933 -5.5639317 -2.681107 2
+#> 6 1 -4.10 -2.55 -0.2460598 0.6648865 -4.3460598 -1.885114 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6920 -36400 6025
+#> initial value 998.131940
+#> iter 2 value 861.770230
+#> iter 3 value 859.385579
+#> iter 4 value 858.443155
+#> iter 5 value 806.775465
+#> iter 6 value 796.594897
+#> iter 7 value 794.698099
+#> iter 8 value 794.650917
+#> iter 9 value 794.650811
+#> iter 10 value 794.650797
+#> iter 11 value 794.650752
+#> iter 12 value 794.650699
+#> iter 12 value 794.650699
+#> iter 12 value 794.650699
+#> final value 794.650699
+#> converged
+#> This is Run number 263
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.1064328 0.1344452 -0.6564328 -13.065555 1
+#> 2 1 -3.10 -5.40 -1.0135633 0.7102979 -4.1135633 -4.689702 1
+#> 3 1 -14.60 -12.20 0.7072073 1.2524430 -13.8927927 -10.947557 2
+#> 4 1 -14.20 -0.55 0.8532800 -0.9984387 -13.3467200 -1.548439 2
+#> 5 1 -5.40 -3.30 -1.4060273 0.9814363 -6.8060273 -2.318564 2
+#> 6 1 -4.10 -2.55 0.2676817 0.8387533 -3.8323183 -1.711247 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7420 -38975 6350
+#> initial value 998.131940
+#> iter 2 value 823.861506
+#> iter 3 value 818.388829
+#> iter 4 value 817.170255
+#> iter 5 value 773.159240
+#> iter 6 value 762.122314
+#> iter 7 value 760.538311
+#> iter 8 value 760.503123
+#> iter 9 value 760.503034
+#> iter 10 value 760.502971
+#> iter 11 value 760.502913
+#> iter 11 value 760.502907
+#> iter 11 value 760.502907
+#> final value 760.502907
+#> converged
+#> This is Run number 264
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.00642556 0.43056388 -0.5564256 -12.769436 1
+#> 2 1 -3.10 -5.40 -1.68232730 0.09011343 -4.7823273 -5.309887 1
+#> 3 1 -14.60 -12.20 1.39055833 -0.45223808 -13.2094417 -12.652238 2
+#> 4 1 -14.20 -0.55 -1.51942860 3.14147112 -15.7194286 2.591471 2
+#> 5 1 -5.40 -3.30 0.23310296 1.59000972 -5.1668970 -1.709990 2
+#> 6 1 -4.10 -2.55 1.05400807 3.70403494 -3.0459919 1.154035 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6600 -36575 5600
+#> initial value 998.131940
+#> iter 2 value 861.979709
+#> iter 3 value 858.234922
+#> iter 4 value 854.790901
+#> iter 5 value 805.126613
+#> iter 6 value 794.994076
+#> iter 7 value 792.999276
+#> iter 8 value 792.946232
+#> iter 9 value 792.946108
+#> iter 10 value 792.946092
+#> iter 11 value 792.946068
+#> iter 12 value 792.946044
+#> iter 12 value 792.946044
+#> iter 12 value 792.946044
+#> final value 792.946044
+#> converged
+#> This is Run number 265
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.59201938 0.7112506 -1.1420194 -12.4887494 1
+#> 2 1 -3.10 -5.40 2.60433419 -0.3118044 -0.4956658 -5.7118044 1
+#> 3 1 -14.60 -12.20 1.84390993 0.3141657 -12.7560901 -11.8858343 2
+#> 4 1 -14.20 -0.55 -0.62284285 -0.4233888 -14.8228428 -0.9733888 2
+#> 5 1 -5.40 -3.30 0.79472426 0.1330984 -4.6052757 -3.1669016 2
+#> 6 1 -4.10 -2.55 0.07444471 0.3076175 -4.0255553 -2.2423825 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7120 -36950 6250
+#> initial value 998.131940
+#> iter 2 value 853.180173
+#> iter 3 value 850.308846
+#> iter 4 value 849.753350
+#> iter 5 value 799.333082
+#> iter 6 value 788.857594
+#> iter 7 value 787.054374
+#> iter 8 value 787.011077
+#> iter 9 value 787.011002
+#> iter 10 value 787.010972
+#> iter 11 value 787.010924
+#> iter 12 value 787.010885
+#> iter 12 value 787.010885
+#> iter 12 value 787.010885
+#> final value 787.010885
+#> converged
+#> This is Run number 266
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.7561789 -1.1533740 0.2061789 -14.3533740 1
+#> 2 1 -3.10 -5.40 -1.1591655 -0.5355807 -4.2591655 -5.9355807 1
+#> 3 1 -14.60 -12.20 1.9871193 5.3075799 -12.6128807 -6.8924201 2
+#> 4 1 -14.20 -0.55 0.2874433 -0.4168284 -13.9125567 -0.9668284 2
+#> 5 1 -5.40 -3.30 0.2421598 -0.2910911 -5.1578402 -3.5910911 2
+#> 6 1 -4.10 -2.55 0.7900595 -0.2504211 -3.3099405 -2.8004211 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6020 -35525 7375
+#> initial value 998.131940
+#> iter 2 value 865.091186
+#> iter 3 value 862.123928
+#> iter 4 value 860.216908
+#> iter 5 value 803.949480
+#> iter 6 value 794.220555
+#> iter 7 value 792.606134
+#> iter 8 value 792.578234
+#> iter 8 value 792.578232
+#> final value 792.578232
+#> converged
+#> This is Run number 267
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.53690419 0.05527475 -0.01309581 -13.1447253 1
+#> 2 1 -3.10 -5.40 0.31703201 -0.87506669 -2.78296799 -6.2750667 1
+#> 3 1 -14.60 -12.20 2.98981757 -0.39009447 -11.61018243 -12.5900945 1
+#> 4 1 -14.20 -0.55 -0.58465443 1.21626142 -14.78465443 0.6662614 2
+#> 5 1 -5.40 -3.30 -0.02292520 -0.72854987 -5.42292520 -4.0285499 2
+#> 6 1 -4.10 -2.55 -0.01283511 -0.14918258 -4.11283511 -2.6991826 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -36425 5900
+#> initial value 998.131940
+#> iter 2 value 862.206547
+#> iter 3 value 859.543596
+#> iter 4 value 858.035191
+#> iter 5 value 806.772309
+#> iter 6 value 796.618344
+#> iter 7 value 794.692630
+#> iter 8 value 794.643890
+#> iter 9 value 794.643780
+#> iter 10 value 794.643760
+#> iter 11 value 794.643718
+#> iter 12 value 794.643679
+#> iter 12 value 794.643679
+#> iter 12 value 794.643679
+#> final value 794.643679
+#> converged
+#> This is Run number 268
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.27317575 -0.34889111 1.723176 -13.548891 1
+#> 2 1 -3.10 -5.40 -0.31221079 0.17335812 -3.412211 -5.226642 1
+#> 3 1 -14.60 -12.20 -0.17206578 -0.97039119 -14.772066 -13.170391 2
+#> 4 1 -14.20 -0.55 0.76739730 -2.10131840 -13.432603 -2.651318 2
+#> 5 1 -5.40 -3.30 -0.06283837 0.07068821 -5.462838 -3.229312 2
+#> 6 1 -4.10 -2.55 0.17184848 -0.71489382 -3.928152 -3.264894 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6260 -36850 6300
+#> initial value 998.131940
+#> iter 2 value 854.771285
+#> iter 3 value 849.406151
+#> iter 4 value 844.679087
+#> iter 5 value 795.180991
+#> iter 6 value 784.931444
+#> iter 7 value 783.182052
+#> iter 8 value 783.141822
+#> iter 9 value 783.141785
+#> iter 9 value 783.141783
+#> iter 9 value 783.141783
+#> final value 783.141783
+#> converged
+#> This is Run number 269
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.20909039 1.0794813 -0.7590904 -12.1205187 1
+#> 2 1 -3.10 -5.40 2.14998801 0.5620876 -0.9500120 -4.8379124 1
+#> 3 1 -14.60 -12.20 0.02360503 0.8667716 -14.5763950 -11.3332284 2
+#> 4 1 -14.20 -0.55 2.56688514 1.7737568 -11.6331149 1.2237568 2
+#> 5 1 -5.40 -3.30 0.51267039 0.4018231 -4.8873296 -2.8981769 2
+#> 6 1 -4.10 -2.55 0.50520356 2.3349762 -3.5947964 -0.2150238 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7100 -36800 6375
+#> initial value 998.131940
+#> iter 2 value 854.461166
+#> iter 3 value 851.719800
+#> iter 4 value 851.309938
+#> iter 5 value 800.244447
+#> iter 6 value 789.819621
+#> iter 7 value 788.042192
+#> iter 8 value 788.000887
+#> iter 9 value 788.000817
+#> iter 10 value 788.000786
+#> iter 11 value 788.000736
+#> iter 12 value 788.000696
+#> iter 12 value 788.000696
+#> iter 12 value 788.000696
+#> final value 788.000696
+#> converged
+#> This is Run number 270
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.7343160 3.1962425 -1.284316 -10.0037575 1
+#> 2 1 -3.10 -5.40 0.2285052 -0.6150899 -2.871495 -6.0150899 1
+#> 3 1 -14.60 -12.20 -1.5072927 -0.8704191 -16.107293 -13.0704191 2
+#> 4 1 -14.20 -0.55 0.5537104 0.2252658 -13.646290 -0.3247342 2
+#> 5 1 -5.40 -3.30 -1.4327472 -0.8576995 -6.832747 -4.1576995 2
+#> 6 1 -4.10 -2.55 -1.0304435 -1.1442524 -5.130444 -3.6942524 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5920 -36375 7225
+#> initial value 998.131940
+#> iter 2 value 855.431530
+#> iter 3 value 850.055847
+#> iter 4 value 845.964031
+#> iter 5 value 793.206017
+#> iter 6 value 783.212669
+#> iter 7 value 781.593837
+#> iter 8 value 781.563753
+#> iter 9 value 781.563722
+#> iter 10 value 781.563710
+#> iter 11 value 781.563669
+#> iter 12 value 781.563635
+#> iter 12 value 781.563635
+#> iter 12 value 781.563635
+#> final value 781.563635
+#> converged
+#> This is Run number 271
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.4763114 1.65706721 -1.026311 -11.542933 1
+#> 2 1 -3.10 -5.40 -0.4159060 -0.42304076 -3.515906 -5.823041 1
+#> 3 1 -14.60 -12.20 1.8163061 0.16173269 -12.783694 -12.038267 2
+#> 4 1 -14.20 -0.55 0.6978858 -0.55650109 -13.502114 -1.106501 2
+#> 5 1 -5.40 -3.30 0.5032579 0.01309725 -4.896742 -3.286903 2
+#> 6 1 -4.10 -2.55 -0.9441935 4.31226415 -5.044193 1.762264 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6660 -35825 5825
+#> initial value 998.131940
+#> iter 2 value 870.261639
+#> iter 3 value 868.129252
+#> iter 4 value 866.517638
+#> iter 5 value 813.687592
+#> iter 6 value 803.852860
+#> iter 7 value 801.893794
+#> iter 8 value 801.845186
+#> iter 9 value 801.845064
+#> iter 10 value 801.845040
+#> iter 11 value 801.844997
+#> iter 12 value 801.844963
+#> iter 12 value 801.844963
+#> iter 12 value 801.844963
+#> final value 801.844963
+#> converged
+#> This is Run number 272
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.5985061 2.4942921 0.04850609 -10.7057079 1
+#> 2 1 -3.10 -5.40 -0.8884202 -0.8972397 -3.98842018 -6.2972397 1
+#> 3 1 -14.60 -12.20 2.9693288 1.4954536 -11.63067116 -10.7045464 2
+#> 4 1 -14.20 -0.55 4.7431101 0.4225451 -9.45688993 -0.1274549 2
+#> 5 1 -5.40 -3.30 5.6622344 0.2985312 0.26223436 -3.0014688 1
+#> 6 1 -4.10 -2.55 -0.8091993 -0.9025903 -4.90919931 -3.4525903 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -34375 6100
+#> initial value 998.131940
+#> iter 2 value 886.131938
+#> iter 3 value 885.232851
+#> iter 4 value 883.526796
+#> iter 5 value 826.398310
+#> iter 6 value 817.315433
+#> iter 7 value 815.509657
+#> iter 8 value 815.471574
+#> iter 9 value 815.471487
+#> iter 10 value 815.471456
+#> iter 11 value 815.471404
+#> iter 12 value 815.471375
+#> iter 12 value 815.471375
+#> iter 12 value 815.471375
+#> final value 815.471375
+#> converged
+#> This is Run number 273
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.5685755 0.8166088 0.01857548 -12.38339115 1
+#> 2 1 -3.10 -5.40 0.9216710 -1.1917557 -2.17832901 -6.59175565 1
+#> 3 1 -14.60 -12.20 -0.8156665 0.2772132 -15.41566654 -11.92278678 2
+#> 4 1 -14.20 -0.55 0.8676163 2.9686297 -13.33238372 2.41862971 2
+#> 5 1 -5.40 -3.30 -0.1454097 2.1711444 -5.54540975 -1.12885558 2
+#> 6 1 -4.10 -2.55 0.7589935 2.4858372 -3.34100648 -0.06416284 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -36425 6650
+#> initial value 998.131940
+#> iter 2 value 858.195110
+#> iter 3 value 854.655270
+#> iter 4 value 852.719858
+#> iter 5 value 800.376324
+#> iter 6 value 790.210616
+#> iter 7 value 788.498341
+#> iter 8 value 788.462197
+#> iter 9 value 788.462153
+#> iter 10 value 788.462131
+#> iter 11 value 788.462076
+#> iter 12 value 788.462041
+#> iter 12 value 788.462041
+#> iter 12 value 788.462041
+#> final value 788.462041
+#> converged
+#> This is Run number 274
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.98975976 2.0784573 0.4397598 -11.121543 1
+#> 2 1 -3.10 -5.40 -0.29753219 -1.1411595 -3.3975322 -6.541159 1
+#> 3 1 -14.60 -12.20 -0.33837436 5.1199302 -14.9383744 -7.080070 2
+#> 4 1 -14.20 -0.55 -0.14278636 -1.0123141 -14.3427864 -1.562314 2
+#> 5 1 -5.40 -3.30 0.33762856 -0.3581719 -5.0623714 -3.658172 2
+#> 6 1 -4.10 -2.55 -0.08337477 0.7173648 -4.1833748 -1.832635 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5740 -33900 6675
+#> initial value 998.131940
+#> iter 2 value 888.209235
+#> iter 3 value 887.476564
+#> iter 4 value 885.248439
+#> iter 5 value 825.971140
+#> iter 6 value 817.107195
+#> iter 7 value 815.472239
+#> iter 8 value 815.442602
+#> iter 9 value 815.442551
+#> iter 9 value 815.442546
+#> iter 9 value 815.442546
+#> final value 815.442546
+#> converged
+#> This is Run number 275
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.58014789 -0.4008664 -1.130148 -13.600866 1
+#> 2 1 -3.10 -5.40 0.33889473 -0.6833605 -2.761105 -6.083361 1
+#> 3 1 -14.60 -12.20 0.02856126 1.4303827 -14.571439 -10.769617 2
+#> 4 1 -14.20 -0.55 0.18990932 2.3034591 -14.010091 1.753459 2
+#> 5 1 -5.40 -3.30 -0.52288498 -0.4995226 -5.922885 -3.799523 2
+#> 6 1 -4.10 -2.55 0.23707718 0.8916151 -3.862923 -1.658385 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6780 -37050 5375
+#> initial value 998.131940
+#> iter 2 value 856.761065
+#> iter 3 value 852.702316
+#> iter 4 value 849.077457
+#> iter 5 value 801.248094
+#> iter 6 value 790.929877
+#> iter 7 value 788.869275
+#> iter 8 value 788.810495
+#> iter 9 value 788.810340
+#> iter 9 value 788.810329
+#> iter 9 value 788.810329
+#> final value 788.810329
+#> converged
+#> This is Run number 276
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.2009770 -0.6116204 0.650977 -13.8116204 1
+#> 2 1 -3.10 -5.40 -0.2588705 0.5581381 -3.358871 -4.8418619 1
+#> 3 1 -14.60 -12.20 0.8497262 -0.5215903 -13.750274 -12.7215903 2
+#> 4 1 -14.20 -0.55 -0.5378658 0.4306919 -14.737866 -0.1193081 2
+#> 5 1 -5.40 -3.30 3.2858700 0.6380959 -2.114130 -2.6619041 1
+#> 6 1 -4.10 -2.55 1.1761258 -1.2247903 -2.923874 -3.7747903 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6040 -36675 6500
+#> initial value 998.131940
+#> iter 2 value 855.957161
+#> iter 3 value 850.069926
+#> iter 4 value 844.501649
+#> iter 5 value 794.474960
+#> iter 6 value 784.334478
+#> iter 7 value 782.626486
+#> iter 8 value 782.589080
+#> iter 9 value 782.589053
+#> iter 10 value 782.589038
+#> iter 11 value 782.589006
+#> iter 12 value 782.588986
+#> iter 12 value 782.588986
+#> iter 12 value 782.588986
+#> final value 782.588986
+#> converged
+#> This is Run number 277
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.6601730 0.8804747 0.110173 -12.3195253 1
+#> 2 1 -3.10 -5.40 -0.6621730 -0.7309346 -3.762173 -6.1309346 1
+#> 3 1 -14.60 -12.20 -0.7303535 -0.1493881 -15.330353 -12.3493881 2
+#> 4 1 -14.20 -0.55 1.9870570 4.3215054 -12.212943 3.7715054 2
+#> 5 1 -5.40 -3.30 -0.9422506 -0.9382466 -6.342251 -4.2382466 2
+#> 6 1 -4.10 -2.55 0.8283728 3.0379468 -3.271627 0.4879468 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -38000 6325
+#> initial value 998.131940
+#> iter 2 value 838.686033
+#> iter 3 value 833.166746
+#> iter 4 value 830.188032
+#> iter 5 value 783.571058
+#> iter 6 value 772.849747
+#> iter 7 value 771.172354
+#> iter 8 value 771.133490
+#> iter 9 value 771.133463
+#> iter 10 value 771.133447
+#> iter 11 value 771.133401
+#> iter 12 value 771.133366
+#> iter 12 value 771.133366
+#> iter 12 value 771.133366
+#> final value 771.133366
+#> converged
+#> This is Run number 278
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.3626523 -0.4714176 -0.1873477 -13.671418 1
+#> 2 1 -3.10 -5.40 0.6222400 -0.3110334 -2.4777600 -5.711033 1
+#> 3 1 -14.60 -12.20 0.1243548 -0.3058766 -14.4756452 -12.505877 2
+#> 4 1 -14.20 -0.55 -0.3640955 -0.2364540 -14.5640955 -0.786454 2
+#> 5 1 -5.40 -3.30 -0.1905371 0.3915192 -5.5905371 -2.908481 2
+#> 6 1 -4.10 -2.55 0.5282355 -0.9273751 -3.5717645 -3.477375 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6100 -36200 6950
+#> initial value 998.131940
+#> iter 2 value 859.377984
+#> iter 3 value 855.075684
+#> iter 4 value 851.909547
+#> iter 5 value 798.772798
+#> iter 6 value 788.779736
+#> iter 7 value 787.122407
+#> iter 8 value 787.090146
+#> iter 9 value 787.090095
+#> iter 10 value 787.090049
+#> iter 10 value 787.090038
+#> iter 10 value 787.090031
+#> final value 787.090031
+#> converged
+#> This is Run number 279
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 5.705380899 -0.4749229 5.155381 -13.6749229 1
+#> 2 1 -3.10 -5.40 1.344130438 0.3189679 -1.755870 -5.0810321 1
+#> 3 1 -14.60 -12.20 0.003440916 0.6267837 -14.596559 -11.5732163 2
+#> 4 1 -14.20 -0.55 1.183241005 0.2979961 -13.016759 -0.2520039 2
+#> 5 1 -5.40 -3.30 1.024614215 -0.4629716 -4.375386 -3.7629716 2
+#> 6 1 -4.10 -2.55 1.309187596 1.5576441 -2.790812 -0.9923559 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6960 -36550 5625
+#> initial value 998.131940
+#> iter 2 value 861.920001
+#> iter 3 value 859.379385
+#> iter 4 value 857.930932
+#> iter 5 value 807.440779
+#> iter 6 value 797.264992
+#> iter 7 value 795.236632
+#> iter 8 value 795.181937
+#> iter 9 value 795.181789
+#> iter 10 value 795.181769
+#> iter 11 value 795.181734
+#> iter 12 value 795.181698
+#> iter 12 value 795.181698
+#> iter 12 value 795.181698
+#> final value 795.181698
+#> converged
+#> This is Run number 280
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.7396128 -0.6276345 0.1896128 -13.827635 1
+#> 2 1 -3.10 -5.40 -1.1570645 -1.0006201 -4.2570645 -6.400620 1
+#> 3 1 -14.60 -12.20 0.2924908 1.7222168 -14.3075092 -10.477783 2
+#> 4 1 -14.20 -0.55 -0.2199271 -0.7915231 -14.4199271 -1.341523 2
+#> 5 1 -5.40 -3.30 0.2924287 -0.3762290 -5.1075713 -3.676229 2
+#> 6 1 -4.10 -2.55 2.1317494 0.7008127 -1.9682506 -1.849187 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -37250 5950
+#> initial value 998.131940
+#> iter 2 value 851.326289
+#> iter 3 value 845.419993
+#> iter 4 value 839.845722
+#> iter 5 value 792.489121
+#> iter 6 value 782.096060
+#> iter 7 value 780.283824
+#> iter 8 value 780.238041
+#> iter 9 value 780.237989
+#> iter 9 value 780.237978
+#> iter 9 value 780.237978
+#> final value 780.237978
+#> converged
+#> This is Run number 281
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.54774372 -0.41284347 0.9977437 -13.6128435 1
+#> 2 1 -3.10 -5.40 0.24465517 -0.81480526 -2.8553448 -6.2148053 1
+#> 3 1 -14.60 -12.20 -1.29473683 1.35616570 -15.8947368 -10.8438343 2
+#> 4 1 -14.20 -0.55 -0.66893096 -0.09577448 -14.8689310 -0.6457745 2
+#> 5 1 -5.40 -3.30 -0.03242911 0.39229891 -5.4324291 -2.9077011 2
+#> 6 1 -4.10 -2.55 0.21777999 0.99765047 -3.8822200 -1.5523495 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6640 -36300 6450
+#> initial value 998.131940
+#> iter 2 value 860.874155
+#> iter 3 value 857.999683
+#> iter 4 value 856.634228
+#> iter 5 value 804.095220
+#> iter 6 value 793.954481
+#> iter 7 value 792.187302
+#> iter 8 value 792.147981
+#> iter 9 value 792.147920
+#> iter 10 value 792.147890
+#> iter 11 value 792.147839
+#> iter 12 value 792.147803
+#> iter 12 value 792.147803
+#> iter 12 value 792.147803
+#> final value 792.147803
+#> converged
+#> This is Run number 282
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.2864113 -0.69662253 2.736411 -13.896623 1
+#> 2 1 -3.10 -5.40 0.6902212 1.07798628 -2.409779 -4.322014 1
+#> 3 1 -14.60 -12.20 1.1032195 0.96777001 -13.496780 -11.232230 2
+#> 4 1 -14.20 -0.55 -0.7378084 1.82053544 -14.937808 1.270535 2
+#> 5 1 -5.40 -3.30 -0.2568745 -0.02050383 -5.656874 -3.320504 2
+#> 6 1 -4.10 -2.55 2.6384859 -0.58658253 -1.461514 -3.136583 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -35575 4575
+#> initial value 998.131940
+#> iter 2 value 879.097570
+#> iter 3 value 877.130116
+#> iter 4 value 874.669522
+#> iter 5 value 823.462651
+#> iter 6 value 814.125480
+#> iter 7 value 811.604819
+#> iter 8 value 811.532306
+#> iter 9 value 811.532007
+#> iter 10 value 811.531989
+#> iter 10 value 811.531985
+#> iter 10 value 811.531977
+#> final value 811.531977
+#> converged
+#> This is Run number 283
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.81960655 0.95757812 0.2696065 -12.2424219 1
+#> 2 1 -3.10 -5.40 2.66732798 0.22656113 -0.4326720 -5.1734389 1
+#> 3 1 -14.60 -12.20 -0.08323466 -0.37960087 -14.6832347 -12.5796009 2
+#> 4 1 -14.20 -0.55 0.30176560 -0.43487428 -13.8982344 -0.9848743 2
+#> 5 1 -5.40 -3.30 -0.94225668 1.01938144 -6.3422567 -2.2806186 2
+#> 6 1 -4.10 -2.55 0.24371366 0.08413319 -3.8562863 -2.4658668 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7000 -37500 5900
+#> initial value 998.131940
+#> iter 2 value 847.833450
+#> iter 3 value 843.882092
+#> iter 4 value 841.865954
+#> iter 5 value 793.998023
+#> iter 6 value 783.381898
+#> iter 7 value 781.534370
+#> iter 8 value 781.486488
+#> iter 9 value 781.486415
+#> iter 10 value 781.486403
+#> iter 11 value 781.486367
+#> iter 12 value 781.486325
+#> iter 12 value 781.486325
+#> iter 12 value 781.486325
+#> final value 781.486325
+#> converged
+#> This is Run number 284
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.4451904 -1.1154118 -0.9951904 -14.315412 1
+#> 2 1 -3.10 -5.40 1.0799088 0.2948551 -2.0200912 -5.105145 1
+#> 3 1 -14.60 -12.20 0.1658788 -0.2497995 -14.4341212 -12.449800 2
+#> 4 1 -14.20 -0.55 -0.3982124 -1.4288659 -14.5982124 -1.978866 2
+#> 5 1 -5.40 -3.30 -0.1466284 1.3390572 -5.5466284 -1.960943 2
+#> 6 1 -4.10 -2.55 -0.6170453 -0.8307955 -4.7170453 -3.380796 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6080 -34550 6500
+#> initial value 998.131940
+#> iter 2 value 881.935559
+#> iter 3 value 880.777943
+#> iter 4 value 879.074483
+#> iter 5 value 821.652313
+#> iter 6 value 812.421824
+#> iter 7 value 810.699724
+#> iter 8 value 810.665357
+#> iter 9 value 810.665291
+#> iter 9 value 810.665280
+#> iter 9 value 810.665280
+#> final value 810.665280
+#> converged
+#> This is Run number 285
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.5479099 -1.6488209 -0.002090119 -14.848821 1
+#> 2 1 -3.10 -5.40 0.1779844 0.3166805 -2.922015634 -5.083320 1
+#> 3 1 -14.60 -12.20 4.4452700 2.1438407 -10.154729969 -10.056159 2
+#> 4 1 -14.20 -0.55 1.7623506 1.2672410 -12.437649449 0.717241 2
+#> 5 1 -5.40 -3.30 0.6155751 4.3057739 -4.784424883 1.005774 2
+#> 6 1 -4.10 -2.55 1.2577544 -1.0777092 -2.842245599 -3.627709 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7200 -37050 5450
+#> initial value 998.131940
+#> iter 2 value 856.026864
+#> iter 3 value 853.322463
+#> iter 4 value 852.060935
+#> iter 5 value 803.258261
+#> iter 6 value 792.866554
+#> iter 7 value 790.785039
+#> iter 8 value 790.725343
+#> iter 9 value 790.725168
+#> iter 10 value 790.725152
+#> iter 11 value 790.725122
+#> iter 12 value 790.725085
+#> iter 12 value 790.725085
+#> iter 12 value 790.725085
+#> final value 790.725085
+#> converged
+#> This is Run number 286
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.8790167 -1.0868957 0.3290167 -14.2868957 1
+#> 2 1 -3.10 -5.40 -1.4579879 0.5811272 -4.5579879 -4.8188728 1
+#> 3 1 -14.60 -12.20 -0.2103101 1.0708103 -14.8103101 -11.1291897 2
+#> 4 1 -14.20 -0.55 2.3904336 0.7113696 -11.8095664 0.1613696 2
+#> 5 1 -5.40 -3.30 0.2681184 3.9808359 -5.1318816 0.6808359 2
+#> 6 1 -4.10 -2.55 1.6323693 3.6951274 -2.4676307 1.1451274 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7020 -36600 5425
+#> initial value 998.131940
+#> iter 2 value 862.225923
+#> iter 3 value 859.726332
+#> iter 4 value 858.187297
+#> iter 5 value 808.174574
+#> iter 6 value 798.016861
+#> iter 7 value 795.905768
+#> iter 8 value 795.846556
+#> iter 9 value 795.846376
+#> iter 10 value 795.846359
+#> iter 11 value 795.846329
+#> iter 12 value 795.846294
+#> iter 12 value 795.846294
+#> iter 12 value 795.846294
+#> final value 795.846294
+#> converged
+#> This is Run number 287
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.1283939 0.05608599 -0.6783939 -13.1439140 1
+#> 2 1 -3.10 -5.40 -1.0463562 -0.55877832 -4.1463562 -5.9587783 1
+#> 3 1 -14.60 -12.20 0.4990947 1.01365855 -14.1009053 -11.1863415 2
+#> 4 1 -14.20 -0.55 0.3815413 0.07392807 -13.8184587 -0.4760719 2
+#> 5 1 -5.40 -3.30 -0.1403078 -0.47731552 -5.5403078 -3.7773155 2
+#> 6 1 -4.10 -2.55 -0.5688859 0.74831414 -4.6688859 -1.8016859 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7020 -38450 6550
+#> initial value 998.131940
+#> iter 2 value 830.799214
+#> iter 3 value 825.013440
+#> iter 4 value 822.909591
+#> iter 5 value 777.126786
+#> iter 6 value 766.287440
+#> iter 7 value 764.686151
+#> iter 8 value 764.651501
+#> iter 9 value 764.651432
+#> iter 10 value 764.651377
+#> iter 11 value 764.651324
+#> iter 11 value 764.651318
+#> iter 11 value 764.651318
+#> final value 764.651318
+#> converged
+#> This is Run number 288
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.5040161 -0.4917471 -0.04598385 -13.6917471 1
+#> 2 1 -3.10 -5.40 2.0306256 -1.0778264 -1.06937443 -6.4778264 1
+#> 3 1 -14.60 -12.20 2.2393610 3.6392983 -12.36063905 -8.5607017 2
+#> 4 1 -14.20 -0.55 -0.7345304 -0.2172503 -14.93453045 -0.7672503 2
+#> 5 1 -5.40 -3.30 -0.1117259 -0.2407006 -5.51172587 -3.5407006 2
+#> 6 1 -4.10 -2.55 0.6174830 -0.4393223 -3.48251700 -2.9893223 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6660 -37525 6725
+#> initial value 998.131940
+#> iter 2 value 843.042059
+#> iter 3 value 837.864482
+#> iter 4 value 835.469744
+#> iter 5 value 786.538578
+#> iter 6 value 775.988682
+#> iter 7 value 774.345689
+#> iter 8 value 774.311319
+#> iter 9 value 774.311280
+#> iter 10 value 774.311268
+#> iter 11 value 774.311216
+#> iter 12 value 774.311171
+#> iter 12 value 774.311171
+#> iter 12 value 774.311171
+#> final value 774.311171
+#> converged
+#> This is Run number 289
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.8739509 -1.1946807 -1.423951 -14.394681 1
+#> 2 1 -3.10 -5.40 0.5287856 0.6651384 -2.571214 -4.734862 1
+#> 3 1 -14.60 -12.20 -0.2822350 2.3927257 -14.882235 -9.807274 2
+#> 4 1 -14.20 -0.55 -0.9330111 2.2305223 -15.133011 1.680522 2
+#> 5 1 -5.40 -3.30 -0.7603608 0.1199075 -6.160361 -3.180093 2
+#> 6 1 -4.10 -2.55 -0.1190093 0.5645306 -4.219009 -1.985469 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7580 -37875 4775
+#> initial value 998.131940
+#> iter 2 value 847.538594
+#> iter 3 value 844.597589
+#> iter 4 value 843.004090
+#> iter 5 value 797.785924
+#> iter 6 value 787.196408
+#> iter 7 value 784.850627
+#> iter 8 value 784.771392
+#> iter 9 value 784.771064
+#> iter 9 value 784.771062
+#> iter 9 value 784.771062
+#> final value 784.771062
+#> converged
+#> This is Run number 290
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.9652044 0.2337695 0.4152044 -12.9662305 1
+#> 2 1 -3.10 -5.40 0.7744345 -0.3321166 -2.3255655 -5.7321166 1
+#> 3 1 -14.60 -12.20 1.3427277 -0.1226288 -13.2572723 -12.3226288 2
+#> 4 1 -14.20 -0.55 1.1517677 0.8603531 -13.0482323 0.3103531 2
+#> 5 1 -5.40 -3.30 0.7675438 0.4855555 -4.6324562 -2.8144445 2
+#> 6 1 -4.10 -2.55 -0.1937696 2.3270554 -4.2937696 -0.2229446 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5900 -36900 7025
+#> initial value 998.131940
+#> iter 2 value 849.837654
+#> iter 3 value 842.936168
+#> iter 4 value 837.090567
+#> iter 5 value 786.962029
+#> iter 6 value 776.815727
+#> iter 7 value 775.195743
+#> iter 8 value 775.163366
+#> iter 9 value 775.163340
+#> iter 10 value 775.163319
+#> iter 11 value 775.163287
+#> iter 12 value 775.163271
+#> iter 12 value 775.163271
+#> iter 12 value 775.163271
+#> final value 775.163271
+#> converged
+#> This is Run number 291
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.5615938 1.2791781 0.01159383 -11.9208219 1
+#> 2 1 -3.10 -5.40 0.8620329 -0.5307779 -2.23796711 -5.9307779 1
+#> 3 1 -14.60 -12.20 1.2301915 -0.9896422 -13.36980851 -13.1896422 2
+#> 4 1 -14.20 -0.55 -0.6981630 0.9616887 -14.89816295 0.4116887 2
+#> 5 1 -5.40 -3.30 0.1980059 -0.7750127 -5.20199411 -4.0750127 2
+#> 6 1 -4.10 -2.55 0.8630388 2.8238901 -3.23696121 0.2738901 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7060 -35725 4850
+#> initial value 998.131940
+#> iter 2 value 875.889915
+#> iter 3 value 874.494827
+#> iter 4 value 873.281287
+#> iter 5 value 821.569075
+#> iter 6 value 812.049822
+#> iter 7 value 809.627763
+#> iter 8 value 809.558502
+#> iter 9 value 809.558224
+#> iter 9 value 809.558215
+#> iter 9 value 809.558215
+#> final value 809.558215
+#> converged
+#> This is Run number 292
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.8774011 0.28170459 -1.427401 -12.9182954 1
+#> 2 1 -3.10 -5.40 1.2910675 -0.81491079 -1.808933 -6.2149108 1
+#> 3 1 -14.60 -12.20 0.9201870 1.63155488 -13.679813 -10.5684451 2
+#> 4 1 -14.20 -0.55 3.9744685 -0.01270237 -10.225532 -0.5627024 2
+#> 5 1 -5.40 -3.30 1.0217914 0.12320168 -4.378209 -3.1767983 2
+#> 6 1 -4.10 -2.55 1.7246697 1.27155220 -2.375330 -1.2784478 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5980 -35275 6150
+#> initial value 998.131940
+#> iter 2 value 875.448477
+#> iter 3 value 872.238823
+#> iter 4 value 868.264424
+#> iter 5 value 814.199513
+#> iter 6 value 804.673385
+#> iter 7 value 802.866531
+#> iter 8 value 802.827051
+#> iter 9 value 802.826985
+#> iter 10 value 802.826962
+#> iter 11 value 802.826926
+#> iter 12 value 802.826904
+#> iter 12 value 802.826904
+#> iter 12 value 802.826904
+#> final value 802.826904
+#> converged
+#> This is Run number 293
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.3350087 -0.06292133 -0.8850087 -13.2629213 1
+#> 2 1 -3.10 -5.40 2.4603722 0.08167944 -0.6396278 -5.3183206 1
+#> 3 1 -14.60 -12.20 -0.2229428 -1.14614909 -14.8229428 -13.3461491 2
+#> 4 1 -14.20 -0.55 -0.7043632 -0.24806806 -14.9043632 -0.7980681 2
+#> 5 1 -5.40 -3.30 -0.9625043 -0.74973011 -6.3625043 -4.0497301 2
+#> 6 1 -4.10 -2.55 -0.5885254 1.52467875 -4.6885254 -1.0253213 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6120 -35125 5025
+#> initial value 998.131940
+#> iter 2 value 882.842195
+#> iter 3 value 879.283615
+#> iter 4 value 873.965935
+#> iter 5 value 822.123189
+#> iter 6 value 812.877539
+#> iter 7 value 810.682664
+#> iter 8 value 810.625735
+#> iter 9 value 810.625558
+#> iter 9 value 810.625546
+#> iter 9 value 810.625539
+#> final value 810.625539
+#> converged
+#> This is Run number 294
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.18553148 7.3602639 -0.3644685 -5.8397361 1
+#> 2 1 -3.10 -5.40 2.07330623 1.8135600 -1.0266938 -3.5864400 1
+#> 3 1 -14.60 -12.20 -0.75014907 -0.8052104 -15.3501491 -13.0052104 2
+#> 4 1 -14.20 -0.55 0.38504438 1.1487254 -13.8149556 0.5987254 2
+#> 5 1 -5.40 -3.30 0.08941143 -0.5174878 -5.3105886 -3.8174878 2
+#> 6 1 -4.10 -2.55 1.58384179 0.8235340 -2.5161582 -1.7264660 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6680 -35425 6425
+#> initial value 998.131940
+#> iter 2 value 871.823151
+#> iter 3 value 870.443328
+#> iter 4 value 869.925508
+#> iter 5 value 814.791377
+#> iter 6 value 805.035459
+#> iter 7 value 803.239136
+#> iter 8 value 803.199519
+#> iter 9 value 803.199432
+#> iter 10 value 803.199398
+#> iter 11 value 803.199347
+#> iter 12 value 803.199309
+#> iter 12 value 803.199309
+#> iter 12 value 803.199309
+#> final value 803.199309
+#> converged
+#> This is Run number 295
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.1874187 0.1776931 0.6374187 -13.0223069 1
+#> 2 1 -3.10 -5.40 0.2742298 0.7484585 -2.8257702 -4.6515415 1
+#> 3 1 -14.60 -12.20 1.0278275 -0.2869529 -13.5721725 -12.4869529 2
+#> 4 1 -14.20 -0.55 0.6135815 -0.2010984 -13.5864185 -0.7510984 2
+#> 5 1 -5.40 -3.30 0.7120024 0.5957752 -4.6879976 -2.7042248 2
+#> 6 1 -4.10 -2.55 -0.3149532 2.8580118 -4.4149532 0.3080118 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 8120 -38550 5025
+#> initial value 998.131940
+#> iter 2 value 835.969875
+#> iter 3 value 833.202651
+#> iter 4 value 832.987854
+#> iter 5 value 789.200108
+#> iter 6 value 778.229358
+#> iter 7 value 776.090097
+#> iter 8 value 776.018707
+#> iter 9 value 776.018458
+#> iter 9 value 776.018456
+#> iter 9 value 776.018456
+#> final value 776.018456
+#> converged
+#> This is Run number 296
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 6.3152586 0.004437711 5.765259 -13.1955623 1
+#> 2 1 -3.10 -5.40 -0.2334836 2.398785798 -3.333484 -3.0012142 2
+#> 3 1 -14.60 -12.20 4.1561868 0.047962865 -10.443813 -12.1520371 1
+#> 4 1 -14.20 -0.55 1.9729937 -0.439765810 -12.227006 -0.9897658 2
+#> 5 1 -5.40 -3.30 1.3953400 1.844243334 -4.004660 -1.4557567 2
+#> 6 1 -4.10 -2.55 -0.4233438 -0.121351089 -4.523344 -2.6713511 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6780 -36075 5250
+#> initial value 998.131940
+#> iter 2 value 869.953430
+#> iter 3 value 867.507369
+#> iter 4 value 865.221324
+#> iter 5 value 814.241212
+#> iter 6 value 804.410365
+#> iter 7 value 802.228757
+#> iter 8 value 802.168514
+#> iter 9 value 802.168321
+#> iter 10 value 802.168307
+#> iter 11 value 802.168282
+#> iter 12 value 802.168252
+#> iter 12 value 802.168252
+#> iter 12 value 802.168252
+#> final value 802.168252
+#> converged
+#> This is Run number 297
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.681792957 -0.4330232 -1.231793 -13.633023 1
+#> 2 1 -3.10 -5.40 -0.001170216 1.8160730 -3.101170 -3.583927 1
+#> 3 1 -14.60 -12.20 1.485477836 2.0359894 -13.114522 -10.164011 2
+#> 4 1 -14.20 -0.55 0.834837748 -1.2172864 -13.365162 -1.767286 2
+#> 5 1 -5.40 -3.30 -0.522906307 2.4181940 -5.922906 -0.881806 2
+#> 6 1 -4.10 -2.55 1.071660164 0.2734758 -3.028340 -2.276524 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6740 -37125 5500
+#> initial value 998.131940
+#> iter 2 value 855.168365
+#> iter 3 value 850.876520
+#> iter 4 value 847.129608
+#> iter 5 value 799.375524
+#> iter 6 value 789.007876
+#> iter 7 value 787.008143
+#> iter 8 value 786.952415
+#> iter 9 value 786.952287
+#> iter 10 value 786.952274
+#> iter 11 value 786.952255
+#> iter 12 value 786.952233
+#> iter 12 value 786.952233
+#> iter 12 value 786.952233
+#> final value 786.952233
+#> converged
+#> This is Run number 298
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.2046094 0.5772936 -0.3453906 -12.622706 1
+#> 2 1 -3.10 -5.40 2.9524292 -0.2380436 -0.1475708 -5.638044 1
+#> 3 1 -14.60 -12.20 1.0008024 0.2718060 -13.5991976 -11.928194 2
+#> 4 1 -14.20 -0.55 0.1053789 -1.0992151 -14.0946211 -1.649215 2
+#> 5 1 -5.40 -3.30 -0.4739480 1.0260748 -5.8739480 -2.273925 2
+#> 6 1 -4.10 -2.55 1.2580610 1.1571542 -2.8419390 -1.392846 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7080 -37475 5825
+#> initial value 998.131940
+#> iter 2 value 848.501220
+#> iter 3 value 844.828423
+#> iter 4 value 843.108553
+#> iter 5 value 795.182746
+#> iter 6 value 784.567455
+#> iter 7 value 782.687003
+#> iter 8 value 782.637215
+#> iter 9 value 782.637128
+#> iter 10 value 782.637113
+#> iter 11 value 782.637078
+#> iter 12 value 782.637038
+#> iter 12 value 782.637038
+#> iter 12 value 782.637038
+#> final value 782.637038
+#> converged
+#> This is Run number 299
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.2931532 -0.4835734 -0.2568468 -13.6835734 1
+#> 2 1 -3.10 -5.40 1.6535919 -0.5787782 -1.4464081 -5.9787782 1
+#> 3 1 -14.60 -12.20 0.8189650 -0.4268982 -13.7810350 -12.6268982 2
+#> 4 1 -14.20 -0.55 -0.4997347 1.3083015 -14.6997347 0.7583015 2
+#> 5 1 -5.40 -3.30 3.6693004 2.1513287 -1.7306996 -1.1486713 2
+#> 6 1 -4.10 -2.55 -0.9193140 0.4369433 -5.0193140 -2.1130567 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6520 -35975 6600
+#> initial value 998.131940
+#> iter 2 value 864.167382
+#> iter 3 value 861.573909
+#> iter 4 value 860.265720
+#> iter 5 value 806.516230
+#> iter 6 value 796.521801
+#> iter 7 value 794.782787
+#> iter 8 value 794.745819
+#> iter 9 value 794.745762
+#> iter 10 value 794.745732
+#> iter 11 value 794.745680
+#> iter 12 value 794.745643
+#> iter 12 value 794.745643
+#> iter 12 value 794.745643
+#> final value 794.745643
+#> converged
+#> This is Run number 300
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.640990 1.4106382 1.090990 -11.789362 1
+#> 2 1 -3.10 -5.40 1.349527 -1.0480359 -1.750473 -6.448036 1
+#> 3 1 -14.60 -12.20 -1.665966 0.2037640 -16.265966 -11.996236 2
+#> 4 1 -14.20 -0.55 -0.181821 1.9091753 -14.381821 1.359175 2
+#> 5 1 -5.40 -3.30 -0.274822 0.2935738 -5.674822 -3.006426 2
+#> 6 1 -4.10 -2.55 -0.621793 0.7561703 -4.721793 -1.793830 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -37375 7300
+#> initial value 998.131940
+#> iter 2 value 841.364580
+#> iter 3 value 836.626606
+#> iter 4 value 835.870394
+#> iter 5 value 785.217896
+#> iter 6 value 774.701732
+#> iter 7 value 773.125527
+#> iter 8 value 773.097780
+#> iter 9 value 773.097687
+#> iter 10 value 773.097629
+#> iter 11 value 773.097575
+#> iter 11 value 773.097571
+#> iter 11 value 773.097571
+#> final value 773.097571
+#> converged
+#> This is Run number 301
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.9983330 -0.55790114 1.448333 -13.757901 1
+#> 2 1 -3.10 -5.40 -0.2001349 0.43700508 -3.300135 -4.962995 1
+#> 3 1 -14.60 -12.20 3.9022307 2.48789290 -10.697769 -9.712107 2
+#> 4 1 -14.20 -0.55 1.2114187 -1.38902985 -12.988581 -1.939030 2
+#> 5 1 -5.40 -3.30 1.1986427 1.13071951 -4.201357 -2.169280 2
+#> 6 1 -4.10 -2.55 -0.6882928 0.02351671 -4.788293 -2.526483 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7240 -37650 5700
+#> initial value 998.131940
+#> iter 2 value 846.597844
+#> iter 3 value 843.088219
+#> iter 4 value 841.679470
+#> iter 5 value 794.388454
+#> iter 6 value 783.696939
+#> iter 7 value 781.781856
+#> iter 8 value 781.729244
+#> iter 9 value 781.729141
+#> iter 10 value 781.729126
+#> iter 11 value 781.729093
+#> iter 12 value 781.729053
+#> iter 12 value 781.729053
+#> iter 12 value 781.729053
+#> final value 781.729053
+#> converged
+#> This is Run number 302
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.607298744 -0.04778411 1.057299 -13.24778411 1
+#> 2 1 -3.10 -5.40 -1.350849314 1.97102852 -4.450849 -3.42897148 2
+#> 3 1 -14.60 -12.20 1.169553538 -0.83950430 -13.430446 -13.03950430 2
+#> 4 1 -14.20 -0.55 -0.004745238 0.61030242 -14.204745 0.06030242 2
+#> 5 1 -5.40 -3.30 -1.055921029 -0.51184826 -6.455921 -3.81184826 2
+#> 6 1 -4.10 -2.55 0.520930474 0.03887691 -3.579070 -2.51112309 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7400 -37200 6275
+#> initial value 998.131940
+#> iter 2 value 849.382369
+#> iter 3 value 846.521313
+#> iter 4 value 846.394901
+#> iter 5 value 796.706919
+#> iter 6 value 786.115944
+#> iter 7 value 784.344249
+#> iter 8 value 784.301899
+#> iter 9 value 784.301826
+#> iter 10 value 784.301797
+#> iter 11 value 784.301749
+#> iter 12 value 784.301707
+#> iter 12 value 784.301707
+#> iter 12 value 784.301707
+#> final value 784.301707
+#> converged
+#> This is Run number 303
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.2568711 -1.1376212 0.7068711 -14.337621 1
+#> 2 1 -3.10 -5.40 0.6406116 1.8112933 -2.4593884 -3.588707 1
+#> 3 1 -14.60 -12.20 0.5347469 -1.1372826 -14.0652531 -13.337283 2
+#> 4 1 -14.20 -0.55 -0.2497649 2.5672865 -14.4497649 2.017287 2
+#> 5 1 -5.40 -3.30 1.8637108 0.9753276 -3.5362892 -2.324672 2
+#> 6 1 -4.10 -2.55 -0.8861916 0.8936942 -4.9861916 -1.656306 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7420 -37475 5675
+#> initial value 998.131940
+#> iter 2 value 848.911259
+#> iter 3 value 846.047056
+#> iter 4 value 845.406355
+#> iter 5 value 797.429787
+#> iter 6 value 786.781771
+#> iter 7 value 784.819137
+#> iter 8 value 784.764276
+#> iter 9 value 784.764143
+#> iter 9 value 784.764132
+#> iter 9 value 784.764132
+#> final value 784.764132
+#> converged
+#> This is Run number 304
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.3779813 0.6979649 0.8279813 -12.502035 1
+#> 2 1 -3.10 -5.40 1.5644033 0.3679933 -1.5355967 -5.032007 1
+#> 3 1 -14.60 -12.20 0.4928035 0.7641751 -14.1071965 -11.435825 2
+#> 4 1 -14.20 -0.55 0.6663526 2.2768107 -13.5336474 1.726811 2
+#> 5 1 -5.40 -3.30 0.2578789 -0.7108637 -5.1421211 -4.010864 2
+#> 6 1 -4.10 -2.55 0.3329123 0.4527759 -3.7670877 -2.097224 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6300 -35100 6325
+#> initial value 998.131940
+#> iter 2 value 876.482322
+#> iter 3 value 874.820127
+#> iter 4 value 873.195650
+#> iter 5 value 817.531664
+#> iter 6 value 808.016255
+#> iter 7 value 806.225835
+#> iter 8 value 806.187335
+#> iter 9 value 806.187257
+#> iter 10 value 806.187239
+#> iter 11 value 806.187188
+#> iter 12 value 806.187142
+#> iter 12 value 806.187142
+#> iter 12 value 806.187142
+#> final value 806.187142
+#> converged
+#> This is Run number 305
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.3220009 -1.0320882 0.7720009 -14.2320882 1
+#> 2 1 -3.10 -5.40 -0.5900092 -0.1108428 -3.6900092 -5.5108428 1
+#> 3 1 -14.60 -12.20 -0.4963308 1.5284879 -15.0963308 -10.6715121 2
+#> 4 1 -14.20 -0.55 3.1915241 1.0544148 -11.0084759 0.5044148 2
+#> 5 1 -5.40 -3.30 1.5976645 0.7814713 -3.8023355 -2.5185287 2
+#> 6 1 -4.10 -2.55 -1.6722277 2.0297262 -5.7722277 -0.5202738 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6700 -37075 7025
+#> initial value 998.131940
+#> iter 2 value 847.258460
+#> iter 3 value 842.987827
+#> iter 4 value 841.785710
+#> iter 5 value 790.666013
+#> iter 6 value 780.231921
+#> iter 7 value 778.606271
+#> iter 8 value 778.575045
+#> iter 9 value 778.574995
+#> iter 10 value 778.574974
+#> iter 11 value 778.574920
+#> iter 12 value 778.574877
+#> iter 12 value 778.574877
+#> iter 12 value 778.574877
+#> final value 778.574877
+#> converged
+#> This is Run number 306
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.2497052 -0.7076610 -0.3002948 -13.907661 1
+#> 2 1 -3.10 -5.40 -0.7127727 1.3394050 -3.8127727 -4.060595 1
+#> 3 1 -14.60 -12.20 -1.2307498 0.7494505 -15.8307498 -11.450550 2
+#> 4 1 -14.20 -0.55 1.4064010 -1.0612300 -12.7935990 -1.611230 2
+#> 5 1 -5.40 -3.30 -0.2549018 2.0682954 -5.6549018 -1.231705 2
+#> 6 1 -4.10 -2.55 -0.5155848 0.1538194 -4.6155848 -2.396181 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7100 -38075 6400
+#> initial value 998.131940
+#> iter 2 value 836.962247
+#> iter 3 value 832.177859
+#> iter 4 value 830.694916
+#> iter 5 value 783.746427
+#> iter 6 value 772.930596
+#> iter 7 value 771.266310
+#> iter 8 value 771.228749
+#> iter 9 value 771.228708
+#> iter 10 value 771.228685
+#> iter 11 value 771.228630
+#> iter 12 value 771.228593
+#> iter 12 value 771.228593
+#> iter 12 value 771.228593
+#> final value 771.228593
+#> converged
+#> This is Run number 307
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.3469958 0.8283039 -0.8969958 -12.371696 1
+#> 2 1 -3.10 -5.40 -0.7510964 1.5486846 -3.8510964 -3.851315 1
+#> 3 1 -14.60 -12.20 0.2971199 -0.5014110 -14.3028801 -12.701411 2
+#> 4 1 -14.20 -0.55 2.2645527 2.3381285 -11.9354473 1.788128 2
+#> 5 1 -5.40 -3.30 0.2848013 0.5045376 -5.1151987 -2.795462 2
+#> 6 1 -4.10 -2.55 1.2535635 -0.6850597 -2.8464365 -3.235060 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -35500 5075
+#> initial value 998.131940
+#> iter 2 value 878.072960
+#> iter 3 value 874.930404
+#> iter 4 value 870.703931
+#> iter 5 value 819.254228
+#> iter 6 value 809.791599
+#> iter 7 value 807.582982
+#> iter 8 value 807.523996
+#> iter 9 value 807.523810
+#> iter 9 value 807.523807
+#> iter 9 value 807.523807
+#> final value 807.523807
+#> converged
+#> This is Run number 308
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.6102850 -0.72906721 -1.160285 -13.9290672 1
+#> 2 1 -3.10 -5.40 0.6859777 1.21955609 -2.414022 -4.1804439 1
+#> 3 1 -14.60 -12.20 -0.1831808 -0.08548456 -14.783181 -12.2854846 2
+#> 4 1 -14.20 -0.55 1.4778072 -0.27886641 -12.722193 -0.8288664 2
+#> 5 1 -5.40 -3.30 0.3420663 0.03481497 -5.057934 -3.2651850 2
+#> 6 1 -4.10 -2.55 1.4400400 2.38262639 -2.659960 -0.1673736 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6540 -34850 5800
+#> initial value 998.131940
+#> iter 2 value 882.130379
+#> iter 3 value 881.206294
+#> iter 4 value 880.116894
+#> iter 5 value 824.564986
+#> iter 6 value 815.250934
+#> iter 7 value 813.300353
+#> iter 8 value 813.254731
+#> iter 9 value 813.254604
+#> iter 10 value 813.254575
+#> iter 11 value 813.254526
+#> iter 12 value 813.254490
+#> iter 12 value 813.254490
+#> iter 12 value 813.254490
+#> final value 813.254490
+#> converged
+#> This is Run number 309
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.6972253 -0.06040688 0.1472253 -13.2604069 1
+#> 2 1 -3.10 -5.40 3.4914246 1.01083573 0.3914246 -4.3891643 1
+#> 3 1 -14.60 -12.20 1.2617031 2.64390820 -13.3382969 -9.5560918 2
+#> 4 1 -14.20 -0.55 0.1050001 0.43774738 -14.0949999 -0.1122526 2
+#> 5 1 -5.40 -3.30 0.5930827 0.93942415 -4.8069173 -2.3605758 2
+#> 6 1 -4.10 -2.55 -0.8009591 3.01225607 -4.9009591 0.4622561 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -35975 6650
+#> initial value 998.131940
+#> iter 2 value 863.949951
+#> iter 3 value 860.930625
+#> iter 4 value 858.993822
+#> iter 5 value 805.318542
+#> iter 6 value 795.356984
+#> iter 7 value 793.635916
+#> iter 8 value 793.600047
+#> iter 9 value 793.599998
+#> iter 10 value 793.599971
+#> iter 11 value 793.599918
+#> iter 12 value 793.599884
+#> iter 12 value 793.599884
+#> iter 12 value 793.599884
+#> final value 793.599884
+#> converged
+#> This is Run number 310
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.3163379 3.0526006 -0.2336621 -10.1473994 1
+#> 2 1 -3.10 -5.40 0.3422784 -0.2752521 -2.7577216 -5.6752521 1
+#> 3 1 -14.60 -12.20 -1.2621855 0.6792826 -15.8621855 -11.5207174 2
+#> 4 1 -14.20 -0.55 -0.2052565 1.1684141 -14.4052565 0.6184141 2
+#> 5 1 -5.40 -3.30 0.5513315 -0.9160649 -4.8486685 -4.2160649 2
+#> 6 1 -4.10 -2.55 3.6462543 -0.4256594 -0.4537457 -2.9756594 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -35825 4900
+#> initial value 998.131940
+#> iter 2 value 874.839738
+#> iter 3 value 871.500597
+#> iter 4 value 867.200391
+#> iter 5 value 816.948226
+#> iter 6 value 807.364833
+#> iter 7 value 805.055493
+#> iter 8 value 804.990147
+#> iter 9 value 804.989915
+#> iter 10 value 804.989901
+#> iter 10 value 804.989897
+#> iter 10 value 804.989892
+#> final value 804.989892
+#> converged
+#> This is Run number 311
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.06644129 -1.610594 -0.61644129 -14.81059367 1
+#> 2 1 -3.10 -5.40 3.07250546 4.147580 -0.02749454 -1.25242011 1
+#> 3 1 -14.60 -12.20 -0.90934327 1.619909 -15.50934327 -10.58009068 2
+#> 4 1 -14.20 -0.55 -0.09385742 1.531726 -14.29385742 0.98172611 2
+#> 5 1 -5.40 -3.30 0.77297354 -1.116755 -4.62702646 -4.41675496 2
+#> 6 1 -4.10 -2.55 1.51590646 2.501717 -2.58409354 -0.04828296 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -35750 6125
+#> initial value 998.131940
+#> iter 2 value 869.467970
+#> iter 3 value 867.810551
+#> iter 4 value 867.129521
+#> iter 5 value 813.399582
+#> iter 6 value 803.521860
+#> iter 7 value 801.639115
+#> iter 8 value 801.594295
+#> iter 9 value 801.594186
+#> iter 9 value 801.594175
+#> iter 9 value 801.594175
+#> final value 801.594175
+#> converged
+#> This is Run number 312
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.38304627 0.8371866 -0.1669537 -12.362813 1
+#> 2 1 -3.10 -5.40 3.83051701 0.1119824 0.7305170 -5.288018 1
+#> 3 1 -14.60 -12.20 -0.08535074 -1.0916941 -14.6853507 -13.291694 2
+#> 4 1 -14.20 -0.55 0.21169331 1.8297366 -13.9883067 1.279737 2
+#> 5 1 -5.40 -3.30 -0.76842594 -0.5730646 -6.1684259 -3.873065 2
+#> 6 1 -4.10 -2.55 -0.18614546 0.6077177 -4.2861455 -1.942282 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6480 -36075 5850
+#> initial value 998.131940
+#> iter 2 value 867.120452
+#> iter 3 value 864.010524
+#> iter 4 value 861.182815
+#> iter 5 value 809.429060
+#> iter 6 value 799.495625
+#> iter 7 value 797.571389
+#> iter 8 value 797.523895
+#> iter 9 value 797.523794
+#> iter 10 value 797.523771
+#> iter 11 value 797.523736
+#> iter 12 value 797.523709
+#> iter 12 value 797.523709
+#> iter 12 value 797.523709
+#> final value 797.523709
+#> converged
+#> This is Run number 313
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.1812784 3.14153854 -0.3687216 -10.05846146 1
+#> 2 1 -3.10 -5.40 1.2064234 -0.28848391 -1.8935766 -5.68848391 1
+#> 3 1 -14.60 -12.20 0.3506477 2.04198342 -14.2493523 -10.15801658 2
+#> 4 1 -14.20 -0.55 0.8648307 0.03645946 -13.3351693 -0.51354054 2
+#> 5 1 -5.40 -3.30 -0.8402308 3.38834154 -6.2402308 0.08834154 2
+#> 6 1 -4.10 -2.55 0.4767253 -1.13861373 -3.6232747 -3.68861373 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7320 -37500 5950
+#> initial value 998.131940
+#> iter 2 value 847.233405
+#> iter 3 value 844.052024
+#> iter 4 value 843.372579
+#> iter 5 value 795.089989
+#> iter 6 value 784.405810
+#> iter 7 value 782.552223
+#> iter 8 value 782.503983
+#> iter 9 value 782.503896
+#> iter 10 value 782.503869
+#> iter 11 value 782.503828
+#> iter 12 value 782.503790
+#> iter 12 value 782.503790
+#> iter 12 value 782.503790
+#> final value 782.503790
+#> converged
+#> This is Run number 314
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.1565779 0.02391549 -1.706578 -13.1760845 1
+#> 2 1 -3.10 -5.40 0.5004852 0.72217363 -2.599515 -4.6778264 1
+#> 3 1 -14.60 -12.20 1.2310982 0.70994081 -13.368902 -11.4900592 2
+#> 4 1 -14.20 -0.55 -0.2802186 3.52746538 -14.480219 2.9774654 2
+#> 5 1 -5.40 -3.30 0.1463632 2.32545293 -5.253637 -0.9745471 2
+#> 6 1 -4.10 -2.55 0.2170628 2.21287501 -3.882937 -0.3371250 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6220 -36650 8725
+#> initial value 998.131940
+#> iter 2 value 841.256397
+#> iter 3 value 835.599384
+#> iter 4 value 834.888615
+#> iter 5 value 779.601080
+#> iter 6 value 769.622138
+#> iter 7 value 768.066257
+#> iter 8 value 768.042823
+#> iter 9 value 768.042580
+#> iter 10 value 768.042564
+#> iter 11 value 768.042552
+#> iter 11 value 768.042548
+#> iter 11 value 768.042548
+#> final value 768.042548
+#> converged
+#> This is Run number 315
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.76183564 -0.70460996 3.211836 -13.904610 1
+#> 2 1 -3.10 -5.40 1.18268001 0.32461025 -1.917320 -5.075390 1
+#> 3 1 -14.60 -12.20 2.53802686 -0.03736845 -12.061973 -12.237368 1
+#> 4 1 -14.20 -0.55 -1.57995906 2.05770659 -15.779959 1.507707 2
+#> 5 1 -5.40 -3.30 -0.56439736 -1.28150305 -5.964397 -4.581503 2
+#> 6 1 -4.10 -2.55 0.08279016 -0.20182162 -4.017210 -2.751822 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6940 -37650 6050
+#> initial value 998.131940
+#> iter 2 value 845.012479
+#> iter 3 value 840.602550
+#> iter 4 value 838.327648
+#> iter 5 value 790.784414
+#> iter 6 value 780.121874
+#> iter 7 value 778.338038
+#> iter 8 value 778.293589
+#> iter 9 value 778.293538
+#> iter 10 value 778.293517
+#> iter 11 value 778.293477
+#> iter 12 value 778.293446
+#> iter 12 value 778.293446
+#> iter 12 value 778.293446
+#> final value 778.293446
+#> converged
+#> This is Run number 316
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.7965552 -1.064002657 -1.346555 -14.264003 1
+#> 2 1 -3.10 -5.40 -0.4131647 -0.422543383 -3.513165 -5.822543 1
+#> 3 1 -14.60 -12.20 0.1422531 0.400053263 -14.457747 -11.799947 2
+#> 4 1 -14.20 -0.55 -0.7639814 -0.860508955 -14.963981 -1.410509 2
+#> 5 1 -5.40 -3.30 0.2891939 0.246995319 -5.110806 -3.053005 2
+#> 6 1 -4.10 -2.55 -1.2621039 -0.005546835 -5.362104 -2.555547 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7240 -38325 6050
+#> initial value 998.131940
+#> iter 2 value 835.243313
+#> iter 3 value 830.554364
+#> iter 4 value 828.869619
+#> iter 5 value 783.287371
+#> iter 6 value 772.372588
+#> iter 7 value 770.652945
+#> iter 8 value 770.610299
+#> iter 9 value 770.610259
+#> iter 10 value 770.610243
+#> iter 11 value 770.610200
+#> iter 12 value 770.610161
+#> iter 12 value 770.610161
+#> iter 12 value 770.610161
+#> final value 770.610161
+#> converged
+#> This is Run number 317
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.4787110 2.5210636 -1.028711 -10.678936 1
+#> 2 1 -3.10 -5.40 1.8811728 3.5635479 -1.218827 -1.836452 1
+#> 3 1 -14.60 -12.20 0.4335318 -0.7818748 -14.166468 -12.981875 2
+#> 4 1 -14.20 -0.55 0.1360821 2.4380137 -14.063918 1.888014 2
+#> 5 1 -5.40 -3.30 -0.1798512 -0.4477006 -5.579851 -3.747701 2
+#> 6 1 -4.10 -2.55 -0.5850508 0.8954721 -4.685051 -1.654528 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6340 -37050 6375
+#> initial value 998.131940
+#> iter 2 value 851.670293
+#> iter 3 value 846.244125
+#> iter 4 value 841.887347
+#> iter 5 value 792.727061
+#> iter 6 value 782.390529
+#> iter 7 value 780.665492
+#> iter 8 value 780.626280
+#> iter 9 value 780.626248
+#> iter 10 value 780.626231
+#> iter 11 value 780.626195
+#> iter 12 value 780.626170
+#> iter 12 value 780.626170
+#> iter 12 value 780.626170
+#> final value 780.626170
+#> converged
+#> This is Run number 318
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.4165370 0.1441647 -0.133463 -13.0558353 1
+#> 2 1 -3.10 -5.40 -0.8596713 0.6372407 -3.959671 -4.7627593 1
+#> 3 1 -14.60 -12.20 -0.2495381 0.3451971 -14.849538 -11.8548029 2
+#> 4 1 -14.20 -0.55 1.0513664 -0.7406339 -13.148634 -1.2906339 2
+#> 5 1 -5.40 -3.30 -0.6927812 0.4121404 -6.092781 -2.8878596 2
+#> 6 1 -4.10 -2.55 -0.4702430 1.6540793 -4.570243 -0.8959207 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6980 -37200 6700
+#> initial value 998.131940
+#> iter 2 value 847.359030
+#> iter 3 value 843.638954
+#> iter 4 value 842.921754
+#> iter 5 value 792.615623
+#> iter 6 value 782.061783
+#> iter 7 value 780.388493
+#> iter 8 value 780.353349
+#> iter 9 value 780.353307
+#> iter 10 value 780.353289
+#> iter 11 value 780.353228
+#> iter 12 value 780.353179
+#> iter 12 value 780.353179
+#> iter 12 value 780.353179
+#> final value 780.353179
+#> converged
+#> This is Run number 319
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.320309407 -1.26284480 -1.8703094 -14.4628448 1
+#> 2 1 -3.10 -5.40 -0.052450588 -0.09790543 -3.1524506 -5.4979054 1
+#> 3 1 -14.60 -12.20 0.157832740 -0.05840505 -14.4421673 -12.2584051 2
+#> 4 1 -14.20 -0.55 0.003431272 -1.43599400 -14.1965687 -1.9859940 2
+#> 5 1 -5.40 -3.30 0.578315675 0.28074591 -4.8216843 -3.0192541 2
+#> 6 1 -4.10 -2.55 3.174421096 2.22212364 -0.9255789 -0.3278764 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6740 -36100 5900
+#> initial value 998.131940
+#> iter 2 value 866.387334
+#> iter 3 value 864.041425
+#> iter 4 value 862.563045
+#> iter 5 value 810.352070
+#> iter 6 value 800.359431
+#> iter 7 value 798.425098
+#> iter 8 value 798.376894
+#> iter 9 value 798.376779
+#> iter 10 value 798.376757
+#> iter 11 value 798.376714
+#> iter 12 value 798.376675
+#> iter 12 value 798.376675
+#> iter 12 value 798.376675
+#> final value 798.376675
+#> converged
+#> This is Run number 320
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.5828485 -0.26292506 -1.1328485 -13.4629251 1
+#> 2 1 -3.10 -5.40 2.1204388 -0.53889334 -0.9795612 -5.9388933 1
+#> 3 1 -14.60 -12.20 1.1707142 -0.27666801 -13.4292858 -12.4766680 2
+#> 4 1 -14.20 -0.55 0.5277857 0.42647471 -13.6722143 -0.1235253 2
+#> 5 1 -5.40 -3.30 0.7663105 -0.02191014 -4.6336895 -3.3219101 2
+#> 6 1 -4.10 -2.55 0.3915405 0.99996541 -3.7084595 -1.5500346 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6200 -34625 5750
+#> initial value 998.131940
+#> iter 2 value 885.132638
+#> iter 3 value 883.637827
+#> iter 4 value 881.260600
+#> iter 5 value 825.614068
+#> iter 6 value 816.463495
+#> iter 7 value 814.549715
+#> iter 8 value 814.506696
+#> iter 9 value 814.506592
+#> iter 10 value 814.506562
+#> iter 11 value 814.506521
+#> iter 12 value 814.506499
+#> iter 12 value 814.506499
+#> iter 12 value 814.506499
+#> final value 814.506499
+#> converged
+#> This is Run number 321
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.77679396 0.40989701 1.226794 -12.7901030 1
+#> 2 1 -3.10 -5.40 0.42052211 1.33957815 -2.679478 -4.0604219 1
+#> 3 1 -14.60 -12.20 0.39058497 -1.02432659 -14.209415 -13.2243266 2
+#> 4 1 -14.20 -0.55 0.77436910 -0.07658757 -13.425631 -0.6265876 2
+#> 5 1 -5.40 -3.30 -0.07679589 0.43632000 -5.476796 -2.8636800 2
+#> 6 1 -4.10 -2.55 -0.10277564 1.20572344 -4.202776 -1.3442766 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -37625 5850
+#> initial value 998.131940
+#> iter 2 value 846.700362
+#> iter 3 value 840.476295
+#> iter 4 value 834.749417
+#> iter 5 value 788.769440
+#> iter 6 value 778.239398
+#> iter 7 value 776.428852
+#> iter 8 value 776.381528
+#> iter 9 value 776.381477
+#> iter 9 value 776.381469
+#> iter 9 value 776.381469
+#> final value 776.381469
+#> converged
+#> This is Run number 322
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.3601056 0.20431077 2.8101056 -12.995689 1
+#> 2 1 -3.10 -5.40 2.6879679 1.34184766 -0.4120321 -4.058152 1
+#> 3 1 -14.60 -12.20 -0.4859990 0.09479664 -15.0859990 -12.105203 2
+#> 4 1 -14.20 -0.55 -0.2415782 -1.03656624 -14.4415782 -1.586566 2
+#> 5 1 -5.40 -3.30 2.0034138 0.15708329 -3.3965862 -3.142917 2
+#> 6 1 -4.10 -2.55 0.1912403 -0.02744892 -3.9087597 -2.577449 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -36950 5525
+#> initial value 998.131940
+#> iter 2 value 857.301291
+#> iter 3 value 853.717144
+#> iter 4 value 850.955814
+#> iter 5 value 802.252132
+#> iter 6 value 791.935707
+#> iter 7 value 789.917337
+#> iter 8 value 789.861543
+#> iter 9 value 789.861405
+#> iter 10 value 789.861389
+#> iter 11 value 789.861364
+#> iter 12 value 789.861338
+#> iter 12 value 789.861338
+#> iter 12 value 789.861338
+#> final value 789.861338
+#> converged
+#> This is Run number 323
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.477773320 1.6820412 2.9277733 -11.517959 1
+#> 2 1 -3.10 -5.40 2.474225605 1.1308427 -0.6257744 -4.269157 1
+#> 3 1 -14.60 -12.20 3.444567338 -0.9016612 -11.1554327 -13.101661 1
+#> 4 1 -14.20 -0.55 -0.569735221 -0.7182572 -14.7697352 -1.268257 2
+#> 5 1 -5.40 -3.30 -0.003410661 1.5393109 -5.4034107 -1.760689 2
+#> 6 1 -4.10 -2.55 -0.625506367 -0.6192034 -4.7255064 -3.169203 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7040 -37450 5950
+#> initial value 998.131940
+#> iter 2 value 848.210284
+#> iter 3 value 844.457574
+#> iter 4 value 842.779210
+#> iter 5 value 794.577063
+#> iter 6 value 783.964476
+#> iter 7 value 782.123613
+#> iter 8 value 782.076381
+#> iter 9 value 782.076308
+#> iter 9 value 782.076299
+#> iter 9 value 782.076299
+#> final value 782.076299
+#> converged
+#> This is Run number 324
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.6922533 -0.7118201 0.1422533 -13.911820 1
+#> 2 1 -3.10 -5.40 1.6152205 1.0988518 -1.4847795 -4.301148 1
+#> 3 1 -14.60 -12.20 -0.4396902 0.8235662 -15.0396902 -11.376434 2
+#> 4 1 -14.20 -0.55 -0.3271572 -0.4989556 -14.5271572 -1.048956 2
+#> 5 1 -5.40 -3.30 0.2422978 -0.6870420 -5.1577022 -3.987042 2
+#> 6 1 -4.10 -2.55 -0.3264343 0.4908997 -4.4264343 -2.059100 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5960 -34950 6575
+#> initial value 998.131940
+#> iter 2 value 876.898694
+#> iter 3 value 874.635747
+#> iter 4 value 871.921528
+#> iter 5 value 815.728582
+#> iter 6 value 806.313812
+#> iter 7 value 804.602128
+#> iter 8 value 804.568056
+#> iter 9 value 804.568003
+#> iter 9 value 804.567996
+#> iter 9 value 804.567996
+#> final value 804.567996
+#> converged
+#> This is Run number 325
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.6533699 1.0398707 1.103370 -12.1601293 1
+#> 2 1 -3.10 -5.40 0.7668371 -0.3214538 -2.333163 -5.7214538 1
+#> 3 1 -14.60 -12.20 4.9687825 0.1822031 -9.631217 -12.0177969 1
+#> 4 1 -14.20 -0.55 0.7293928 1.4161462 -13.470607 0.8661462 2
+#> 5 1 -5.40 -3.30 -0.0960637 -0.2829810 -5.496064 -3.5829810 2
+#> 6 1 -4.10 -2.55 -0.9057041 0.7796319 -5.005704 -1.7703681 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7180 -37300 6300
+#> initial value 998.131940
+#> iter 2 value 848.158469
+#> iter 3 value 844.855892
+#> iter 4 value 844.259752
+#> iter 5 value 794.843103
+#> iter 6 value 784.224178
+#> iter 7 value 782.461724
+#> iter 8 value 782.420051
+#> iter 9 value 782.419991
+#> iter 10 value 782.419964
+#> iter 11 value 782.419914
+#> iter 12 value 782.419873
+#> iter 12 value 782.419873
+#> iter 12 value 782.419873
+#> final value 782.419873
+#> converged
+#> This is Run number 326
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.5687432 -0.5163382 1.018743 -13.7163382 1
+#> 2 1 -3.10 -5.40 1.0769285 -0.2275984 -2.023071 -5.6275984 1
+#> 3 1 -14.60 -12.20 0.2391273 0.8879006 -14.360873 -11.3120994 2
+#> 4 1 -14.20 -0.55 -0.9400285 -0.1940973 -15.140028 -0.7440973 2
+#> 5 1 -5.40 -3.30 -0.1523930 0.7417426 -5.552393 -2.5582574 2
+#> 6 1 -4.10 -2.55 2.2610371 1.2101477 -1.838963 -1.3398523 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7880 -37025 4400
+#> initial value 998.131940
+#> iter 2 value 860.222230
+#> iter 3 value 858.793161
+#> iter 4 value 858.482216
+#> iter 5 value 810.783143
+#> iter 6 value 800.812862
+#> iter 7 value 798.031069
+#> iter 8 value 797.935592
+#> iter 9 value 797.935071
+#> iter 10 value 797.935041
+#> iter 10 value 797.935032
+#> iter 10 value 797.935023
+#> final value 797.935023
+#> converged
+#> This is Run number 327
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.7401877 0.3937127 -1.290188 -12.8062873 1
+#> 2 1 -3.10 -5.40 0.1067211 2.4577625 -2.993279 -2.9422375 2
+#> 3 1 -14.60 -12.20 -0.0443529 1.5546421 -14.644353 -10.6453579 2
+#> 4 1 -14.20 -0.55 0.8787433 1.4802802 -13.321257 0.9302802 2
+#> 5 1 -5.40 -3.30 0.5968406 0.8527617 -4.803159 -2.4472383 2
+#> 6 1 -4.10 -2.55 0.2133033 1.6452012 -3.886697 -0.9047988 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 5840 -34600 7100
+#> initial value 998.131940
+#> iter 2 value 877.796478
+#> iter 3 value 876.218733
+#> iter 4 value 874.210384
+#> iter 5 value 815.856901
+#> iter 6 value 806.580116
+#> iter 7 value 804.959078
+#> iter 8 value 804.930557
+#> iter 9 value 804.930517
+#> iter 10 value 804.930494
+#> iter 11 value 804.930442
+#> iter 12 value 804.930410
+#> iter 12 value 804.930410
+#> iter 12 value 804.930410
+#> final value 804.930410
+#> converged
+#> This is Run number 328
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.88035693 1.1249819 3.330357 -12.075018 1
+#> 2 1 -3.10 -5.40 -0.01387095 1.3667530 -3.113871 -4.033247 1
+#> 3 1 -14.60 -12.20 1.78581237 -1.5394749 -12.814188 -13.739475 1
+#> 4 1 -14.20 -0.55 2.82692899 -0.7107197 -11.373071 -1.260720 2
+#> 5 1 -5.40 -3.30 1.34738580 0.7189761 -4.052614 -2.581024 2
+#> 6 1 -4.10 -2.55 2.06591899 0.5023476 -2.034081 -2.047652 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -36900 6775
+#> initial value 998.131940
+#> iter 2 value 851.038133
+#> iter 3 value 847.466795
+#> iter 4 value 846.569805
+#> iter 5 value 795.241974
+#> iter 6 value 784.821044
+#> iter 7 value 783.145602
+#> iter 8 value 783.111073
+#> iter 9 value 783.111020
+#> iter 10 value 783.110996
+#> iter 11 value 783.110958
+#> iter 12 value 783.110906
+#> iter 12 value 783.110906
+#> iter 12 value 783.110906
+#> final value 783.110906
+#> converged
+#> This is Run number 329
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.9243466 0.61506952 0.3743466 -12.584930 1
+#> 2 1 -3.10 -5.40 -0.8114387 -0.08396695 -3.9114387 -5.483967 1
+#> 3 1 -14.60 -12.20 0.9238880 -0.88102291 -13.6761120 -13.081023 2
+#> 4 1 -14.20 -0.55 -0.5476386 2.35922462 -14.7476386 1.809225 2
+#> 5 1 -5.40 -3.30 0.1578739 1.67923096 -5.2421261 -1.620769 2
+#> 6 1 -4.10 -2.55 0.2014683 -0.10528051 -3.8985317 -2.655281 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6740 -36425 5975
+#> initial value 998.131940
+#> iter 2 value 861.863634
+#> iter 3 value 858.996987
+#> iter 4 value 857.244589
+#> iter 5 value 805.934973
+#> iter 6 value 795.781703
+#> iter 7 value 793.887061
+#> iter 8 value 793.840055
+#> iter 9 value 793.839958
+#> iter 10 value 793.839938
+#> iter 11 value 793.839896
+#> iter 12 value 793.839857
+#> iter 12 value 793.839857
+#> iter 12 value 793.839857
+#> final value 793.839857
+#> converged
+#> This is Run number 330
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 4.86369893 -0.77027938 4.313699 -13.9702794 1
+#> 2 1 -3.10 -5.40 -0.08605307 -1.03514888 -3.186053 -6.4351489 1
+#> 3 1 -14.60 -12.20 0.08191019 1.74048399 -14.518090 -10.4595160 2
+#> 4 1 -14.20 -0.55 0.50364376 -0.44592656 -13.696356 -0.9959266 2
+#> 5 1 -5.40 -3.30 1.65134193 0.06401909 -3.748658 -3.2359809 2
+#> 6 1 -4.10 -2.55 1.51790053 0.48842721 -2.582099 -2.0615728 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6140 -35600 5875
+#> initial value 998.131940
+#> iter 2 value 872.977279
+#> iter 3 value 869.506667
+#> iter 4 value 865.401330
+#> iter 5 value 812.772718
+#> iter 6 value 803.106256
+#> iter 7 value 801.211693
+#> iter 8 value 801.167057
+#> iter 9 value 801.166970
+#> iter 10 value 801.166950
+#> iter 11 value 801.166921
+#> iter 12 value 801.166900
+#> iter 12 value 801.166900
+#> iter 12 value 801.166900
+#> final value 801.166900
+#> converged
+#> This is Run number 331
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.2788926 0.1661272 -0.8288926 -13.033873 1
+#> 2 1 -3.10 -5.40 0.5271074 -0.1462079 -2.5728926 -5.546208 1
+#> 3 1 -14.60 -12.20 -1.1741855 2.3301869 -15.7741855 -9.869813 2
+#> 4 1 -14.20 -0.55 0.4341872 3.1122496 -13.7658128 2.562250 2
+#> 5 1 -5.40 -3.30 0.9628985 -1.2478687 -4.4371015 -4.547869 1
+#> 6 1 -4.10 -2.55 0.2032959 0.2691603 -3.8967041 -2.280840 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6700 -36450 5800
+#> initial value 998.131940
+#> iter 2 value 862.500254
+#> iter 3 value 859.426003
+#> iter 4 value 857.156861
+#> iter 5 value 806.366057
+#> iter 6 value 796.237467
+#> iter 7 value 794.292971
+#> iter 8 value 794.243183
+#> iter 9 value 794.243073
+#> iter 10 value 794.243051
+#> iter 11 value 794.243015
+#> iter 12 value 794.242985
+#> iter 12 value 794.242985
+#> iter 12 value 794.242985
+#> final value 794.242985
+#> converged
+#> This is Run number 332
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.2678060 0.8262941 -1.817806 -12.3737059 1
+#> 2 1 -3.10 -5.40 0.9470088 0.6969125 -2.152991 -4.7030875 1
+#> 3 1 -14.60 -12.20 0.1231191 -0.8676516 -14.476881 -13.0676516 2
+#> 4 1 -14.20 -0.55 1.2798466 -0.1999124 -12.920153 -0.7499124 2
+#> 5 1 -5.40 -3.30 -1.1269882 0.8529508 -6.526988 -2.4470492 2
+#> 6 1 -4.10 -2.55 0.3764545 -1.5433221 -3.723546 -4.0933221 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7480 -38650 5700
+#> initial value 998.131940
+#> iter 2 value 832.152077
+#> iter 3 value 827.717087
+#> iter 4 value 826.180275
+#> iter 5 value 782.103999
+#> iter 6 value 771.066560
+#> iter 7 value 769.283406
+#> iter 8 value 769.234872
+#> iter 9 value 769.234821
+#> iter 10 value 769.234802
+#> iter 11 value 769.234768
+#> iter 12 value 769.234737
+#> iter 12 value 769.234737
+#> iter 12 value 769.234737
+#> final value 769.234737
+#> converged
+#> This is Run number 333
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.3490310 -0.1273812 1.799031 -13.3273812 1
+#> 2 1 -3.10 -5.40 0.2766099 0.5252859 -2.823390 -4.8747141 1
+#> 3 1 -14.60 -12.20 -0.1884944 1.9358245 -14.788494 -10.2641755 2
+#> 4 1 -14.20 -0.55 1.0864238 1.4427597 -13.113576 0.8927597 2
+#> 5 1 -5.40 -3.30 0.7354794 1.0999689 -4.664521 -2.2000311 2
+#> 6 1 -4.10 -2.55 1.4017279 -0.3080822 -2.698272 -2.8580822 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6940 -38225 6675
+#> initial value 998.131940
+#> iter 2 value 833.350457
+#> iter 3 value 827.691716
+#> iter 4 value 825.699386
+#> iter 5 value 778.969330
+#> iter 6 value 768.198504
+#> iter 7 value 766.596741
+#> iter 8 value 766.563097
+#> iter 9 value 766.563029
+#> iter 10 value 766.562973
+#> iter 11 value 766.562919
+#> iter 11 value 766.562913
+#> iter 11 value 766.562913
+#> final value 766.562913
+#> converged
+#> This is Run number 334
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.7090186 0.6004960 -2.2590186 -12.59950403 1
+#> 2 1 -3.10 -5.40 1.5617609 -0.1184189 -1.5382391 -5.51841892 1
+#> 3 1 -14.60 -12.20 -0.1111119 0.8438491 -14.7111119 -11.35615086 2
+#> 4 1 -14.20 -0.55 -1.0824296 0.5921102 -15.2824296 0.04211023 2
+#> 5 1 -5.40 -3.30 1.6890253 1.2933114 -3.7109747 -2.00668860 2
+#> 6 1 -4.10 -2.55 4.8490447 0.2966792 0.7490447 -2.25332077 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6780 -37600 6550
+#> initial value 998.131940
+#> iter 2 value 842.977454
+#> iter 3 value 838.081294
+#> iter 4 value 835.913238
+#> iter 5 value 787.418903
+#> iter 6 value 776.807664
+#> iter 7 value 775.137978
+#> iter 8 value 775.101500
+#> iter 9 value 775.101479
+#> iter 10 value 775.101459
+#> iter 11 value 775.101405
+#> iter 12 value 775.101355
+#> iter 12 value 775.101355
+#> iter 12 value 775.101355
+#> final value 775.101355
+#> converged
+#> This is Run number 335
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.3281021 -1.3112394 -0.8781021 -14.511239 1
+#> 2 1 -3.10 -5.40 0.3326677 -0.5025566 -2.7673323 -5.902557 1
+#> 3 1 -14.60 -12.20 0.1542210 0.1821192 -14.4457790 -12.017881 2
+#> 4 1 -14.20 -0.55 2.1667916 -0.6395718 -12.0332084 -1.189572 2
+#> 5 1 -5.40 -3.30 0.5547510 0.2075830 -4.8452490 -3.092417 2
+#> 6 1 -4.10 -2.55 2.8869171 -0.9764866 -1.2130829 -3.526487 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -36100 6525
+#> initial value 998.131940
+#> iter 2 value 862.816079
+#> iter 3 value 860.657450
+#> iter 4 value 860.180099
+#> iter 5 value 806.806410
+#> iter 6 value 796.700011
+#> iter 7 value 794.934644
+#> iter 8 value 794.895682
+#> iter 9 value 794.895611
+#> iter 10 value 794.895579
+#> iter 11 value 794.895528
+#> iter 12 value 794.895488
+#> iter 12 value 794.895488
+#> iter 12 value 794.895488
+#> final value 794.895488
+#> converged
+#> This is Run number 336
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.8061927 1.85988252 -1.356193 -11.340117 1
+#> 2 1 -3.10 -5.40 2.3151210 2.46655237 -0.784879 -2.933448 1
+#> 3 1 -14.60 -12.20 -0.6566790 -0.36423295 -15.256679 -12.564233 2
+#> 4 1 -14.20 -0.55 0.5354102 -0.85796837 -13.664590 -1.407968 2
+#> 5 1 -5.40 -3.30 -0.9513831 0.09034961 -6.351383 -3.209650 2
+#> 6 1 -4.10 -2.55 -0.8303970 0.14312035 -4.930397 -2.406880 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6140 -36150 6025
+#> initial value 998.131940
+#> iter 2 value 865.349596
+#> iter 3 value 860.826827
+#> iter 4 value 855.974086
+#> iter 5 value 804.934936
+#> iter 6 value 794.999117
+#> iter 7 value 793.156420
+#> iter 8 value 793.112827
+#> iter 9 value 793.112759
+#> iter 10 value 793.112743
+#> iter 11 value 793.112716
+#> iter 12 value 793.112696
+#> iter 12 value 793.112696
+#> iter 12 value 793.112696
+#> final value 793.112696
+#> converged
+#> This is Run number 337
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.7310877 -0.05659193 1.181088 -13.256592 1
+#> 2 1 -3.10 -5.40 1.3311154 0.14351938 -1.768885 -5.256481 1
+#> 3 1 -14.60 -12.20 0.8490185 2.93607672 -13.750982 -9.263923 2
+#> 4 1 -14.20 -0.55 2.2298945 -0.62429104 -11.970105 -1.174291 2
+#> 5 1 -5.40 -3.30 1.9368174 0.60068157 -3.463183 -2.699318 2
+#> 6 1 -4.10 -2.55 -0.6851195 -0.18779266 -4.785119 -2.737793 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6680 -36550 6425
+#> initial value 998.131940
+#> iter 2 value 857.785737
+#> iter 3 value 854.573551
+#> iter 4 value 853.064724
+#> iter 5 value 801.344041
+#> iter 6 value 791.097609
+#> iter 7 value 789.334383
+#> iter 8 value 789.294740
+#> iter 9 value 789.294683
+#> iter 10 value 789.294655
+#> iter 11 value 789.294604
+#> iter 12 value 789.294568
+#> iter 12 value 789.294568
+#> iter 12 value 789.294568
+#> final value 789.294568
+#> converged
+#> This is Run number 338
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.0585384 1.1270471 1.508538 -12.0729529 1
+#> 2 1 -3.10 -5.40 0.9335246 -0.5797469 -2.166475 -5.9797469 1
+#> 3 1 -14.60 -12.20 0.2799264 1.1041563 -14.320074 -11.0958437 2
+#> 4 1 -14.20 -0.55 0.4603624 1.2807361 -13.739638 0.7307361 2
+#> 5 1 -5.40 -3.30 0.8458892 0.3991329 -4.554111 -2.9008671 2
+#> 6 1 -4.10 -2.55 -0.4037477 2.3670843 -4.503748 -0.1829157 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6780 -36750 6300
+#> initial value 998.131940
+#> iter 2 value 855.830369
+#> iter 3 value 852.536172
+#> iter 4 value 851.052111
+#> iter 5 value 800.122730
+#> iter 6 value 789.787930
+#> iter 7 value 788.000720
+#> iter 8 value 787.959075
+#> iter 9 value 787.959013
+#> iter 10 value 787.958985
+#> iter 11 value 787.958937
+#> iter 12 value 787.958901
+#> iter 12 value 787.958901
+#> iter 12 value 787.958901
+#> final value 787.958901
+#> converged
+#> This is Run number 339
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.674421758 -0.03332946 1.124422 -13.2333295 1
+#> 2 1 -3.10 -5.40 -0.006626869 1.19711314 -3.106627 -4.2028869 1
+#> 3 1 -14.60 -12.20 0.844177777 0.41942712 -13.755822 -11.7805729 2
+#> 4 1 -14.20 -0.55 0.498850478 1.00589564 -13.701150 0.4558956 2
+#> 5 1 -5.40 -3.30 1.023675092 1.12510686 -4.376325 -2.1748931 2
+#> 6 1 -4.10 -2.55 1.047682841 1.28008706 -3.052317 -1.2699129 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7000 -38100 6125
+#> initial value 998.131940
+#> iter 2 value 838.261722
+#> iter 3 value 833.209904
+#> iter 4 value 830.735112
+#> iter 5 value 784.568077
+#> iter 6 value 773.768717
+#> iter 7 value 772.051082
+#> iter 8 value 772.009227
+#> iter 9 value 772.009192
+#> iter 9 value 772.009181
+#> iter 9 value 772.009179
+#> final value 772.009179
+#> converged
+#> This is Run number 340
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.3323933 3.7790035 0.7823933 -9.4209965 1
+#> 2 1 -3.10 -5.40 0.9628483 1.7376527 -2.1371517 -3.6623473 1
+#> 3 1 -14.60 -12.20 0.8653982 3.5633200 -13.7346018 -8.6366800 2
+#> 4 1 -14.20 -0.55 0.1901031 0.7382501 -14.0098969 0.1882501 2
+#> 5 1 -5.40 -3.30 0.4164907 -0.2249676 -4.9835093 -3.5249676 2
+#> 6 1 -4.10 -2.55 -0.3265686 -0.6020052 -4.4265686 -3.1520052 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6980 -37375 6175
+#> initial value 998.131940
+#> iter 2 value 848.047080
+#> iter 3 value 844.225332
+#> iter 4 value 842.706047
+#> iter 5 value 793.889404
+#> iter 6 value 783.296606
+#> iter 7 value 781.515671
+#> iter 8 value 781.472537
+#> iter 9 value 781.472481
+#> iter 10 value 781.472456
+#> iter 11 value 781.472410
+#> iter 12 value 781.472375
+#> iter 12 value 781.472375
+#> iter 12 value 781.472375
+#> final value 781.472375
+#> converged
+#> This is Run number 341
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.52744460 0.01829748 1.977445 -13.181703 1
+#> 2 1 -3.10 -5.40 1.45029588 0.03812024 -1.649704 -5.361880 1
+#> 3 1 -14.60 -12.20 -0.86298530 -0.48867726 -15.462985 -12.688677 2
+#> 4 1 -14.20 -0.55 0.41982488 -0.74962364 -13.780175 -1.299624 2
+#> 5 1 -5.40 -3.30 0.61552352 -0.59714879 -4.784476 -3.897149 2
+#> 6 1 -4.10 -2.55 -0.08952698 -0.32314967 -4.189527 -2.873150 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7180 -36325 5925
+#> initial value 998.131940
+#> iter 2 value 863.005745
+#> iter 3 value 861.165583
+#> iter 4 value 860.870269
+#> iter 5 value 809.066118
+#> iter 6 value 798.910615
+#> iter 7 value 796.956560
+#> iter 8 value 796.906102
+#> iter 9 value 796.905965
+#> iter 9 value 796.905958
+#> iter 9 value 796.905958
+#> final value 796.905958
+#> converged
+#> This is Run number 342
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.8355194 0.4169671 1.285519 -12.7830329 1
+#> 2 1 -3.10 -5.40 1.1297618 1.5492209 -1.970238 -3.8507791 1
+#> 3 1 -14.60 -12.20 2.5621876 0.4998519 -12.037812 -11.7001481 2
+#> 4 1 -14.20 -0.55 1.2979801 0.2619773 -12.902020 -0.2880227 2
+#> 5 1 -5.40 -3.30 0.6539847 0.4072520 -4.746015 -2.8927480 2
+#> 6 1 -4.10 -2.55 0.5487674 -0.5478714 -3.551233 -3.0978714 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6460 -36325 6075
+#> initial value 998.131940
+#> iter 2 value 862.761014
+#> iter 3 value 859.213783
+#> iter 4 value 856.306253
+#> iter 5 value 804.928603
+#> iter 6 value 794.854917
+#> iter 7 value 793.008264
+#> iter 8 value 792.964207
+#> iter 9 value 792.964133
+#> iter 10 value 792.964112
+#> iter 11 value 792.964074
+#> iter 12 value 792.964043
+#> iter 12 value 792.964043
+#> iter 12 value 792.964043
+#> final value 792.964043
+#> converged
+#> This is Run number 343
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.2295212 0.21847166 -0.3204788 -12.981528 1
+#> 2 1 -3.10 -5.40 -0.4953123 -0.22118975 -3.5953123 -5.621190 1
+#> 3 1 -14.60 -12.20 -0.8800290 2.55215614 -15.4800290 -9.647844 2
+#> 4 1 -14.20 -0.55 -0.3294425 0.04112903 -14.5294425 -0.508871 2
+#> 5 1 -5.40 -3.30 -1.8748826 0.65144095 -7.2748826 -2.648559 2
+#> 6 1 -4.10 -2.55 3.0667117 -0.96996217 -1.0332883 -3.519962 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6920 -36375 6125
+#> initial value 998.131940
+#> iter 2 value 861.541055
+#> iter 3 value 859.185717
+#> iter 4 value 858.372102
+#> iter 5 value 806.454631
+#> iter 6 value 796.268691
+#> iter 7 value 794.401164
+#> iter 8 value 794.355664
+#> iter 9 value 794.355567
+#> iter 9 value 794.355560
+#> iter 9 value 794.355560
+#> final value 794.355560
+#> converged
+#> This is Run number 344
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.7481315 3.9447042 0.1981315 -9.255296 1
+#> 2 1 -3.10 -5.40 4.1343684 0.2203945 1.0343684 -5.179606 1
+#> 3 1 -14.60 -12.20 1.0995466 -0.7916516 -13.5004534 -12.991652 2
+#> 4 1 -14.20 -0.55 1.5062887 2.0732973 -12.6937113 1.523297 2
+#> 5 1 -5.40 -3.30 2.0736835 1.2483351 -3.3263165 -2.051665 2
+#> 6 1 -4.10 -2.55 0.1650350 0.9455100 -3.9349650 -1.604490 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7140 -36700 4975
+#> initial value 998.131940
+#> iter 2 value 862.956548
+#> iter 3 value 860.501850
+#> iter 4 value 858.684685
+#> iter 5 value 809.731413
+#> iter 6 value 799.651774
+#> iter 7 value 797.324421
+#> iter 8 value 797.253722
+#> iter 9 value 797.253453
+#> iter 9 value 797.253446
+#> iter 9 value 797.253446
+#> final value 797.253446
+#> converged
+#> This is Run number 345
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.8483482 1.4056669 1.298348 -11.7943331 1
+#> 2 1 -3.10 -5.40 -0.7017529 0.4537667 -3.801753 -4.9462333 1
+#> 3 1 -14.60 -12.20 2.1008405 -0.2794852 -12.499160 -12.4794852 2
+#> 4 1 -14.20 -0.55 0.4400984 -0.1488819 -13.759902 -0.6988819 2
+#> 5 1 -5.40 -3.30 1.8471636 0.4465670 -3.552836 -2.8534330 2
+#> 6 1 -4.10 -2.55 -0.6267707 -0.5182024 -4.726771 -3.0682024 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -36625 6100
+#> initial value 998.131940
+#> iter 2 value 858.800511
+#> iter 3 value 854.265904
+#> iter 4 value 850.238674
+#> iter 5 value 800.125492
+#> iter 6 value 789.946990
+#> iter 7 value 788.130225
+#> iter 8 value 788.086831
+#> iter 9 value 788.086772
+#> iter 10 value 788.086756
+#> iter 11 value 788.086723
+#> iter 12 value 788.086697
+#> iter 12 value 788.086697
+#> iter 12 value 788.086697
+#> final value 788.086697
+#> converged
+#> This is Run number 346
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.1268414 2.6699857 -0.6768414 -10.530014 1
+#> 2 1 -3.10 -5.40 -0.9129302 0.1019073 -4.0129302 -5.298093 1
+#> 3 1 -14.60 -12.20 2.8007915 -0.5240713 -11.7992085 -12.724071 1
+#> 4 1 -14.20 -0.55 1.1652598 4.1467267 -13.0347402 3.596727 2
+#> 5 1 -5.40 -3.30 -0.7647148 0.2333420 -6.1647148 -3.066658 2
+#> 6 1 -4.10 -2.55 -0.2827098 1.1321729 -4.3827098 -1.417827 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -35500 5750
+#> initial value 998.131940
+#> iter 2 value 874.517526
+#> iter 3 value 873.171951
+#> iter 4 value 872.319539
+#> iter 5 value 818.521104
+#> iter 6 value 808.851673
+#> iter 7 value 806.844802
+#> iter 8 value 806.794623
+#> iter 9 value 806.794476
+#> iter 10 value 806.794452
+#> iter 11 value 806.794407
+#> iter 12 value 806.794364
+#> iter 12 value 806.794364
+#> iter 12 value 806.794364
+#> final value 806.794364
+#> converged
+#> This is Run number 347
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.07966505 1.0340553 -0.4703349 -12.165945 1
+#> 2 1 -3.10 -5.40 0.24596058 0.9481243 -2.8540394 -4.451876 1
+#> 3 1 -14.60 -12.20 -1.05707164 3.9435037 -15.6570716 -8.256496 2
+#> 4 1 -14.20 -0.55 -0.33636937 -0.6591795 -14.5363694 -1.209180 2
+#> 5 1 -5.40 -3.30 0.50275639 0.1545426 -4.8972436 -3.145457 2
+#> 6 1 -4.10 -2.55 5.05992452 0.8976008 0.9599245 -1.652399 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -34250 6000
+#> initial value 998.131940
+#> iter 2 value 887.911971
+#> iter 3 value 887.849669
+#> iter 4 value 887.307283
+#> iter 5 value 829.816722
+#> iter 6 value 820.783622
+#> iter 7 value 818.920288
+#> iter 8 value 818.879420
+#> iter 9 value 818.879304
+#> iter 10 value 818.879279
+#> iter 11 value 818.879225
+#> iter 12 value 818.879180
+#> iter 12 value 818.879180
+#> iter 12 value 818.879180
+#> final value 818.879180
+#> converged
+#> This is Run number 348
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.1155899 1.5461079 0.5655899 -11.6538921 1
+#> 2 1 -3.10 -5.40 0.3547130 -0.7116878 -2.7452870 -6.1116878 1
+#> 3 1 -14.60 -12.20 -1.1648864 0.5369384 -15.7648864 -11.6630616 2
+#> 4 1 -14.20 -0.55 1.9973436 1.3239339 -12.2026564 0.7739339 2
+#> 5 1 -5.40 -3.30 0.5961842 0.0501009 -4.8038158 -3.2498991 2
+#> 6 1 -4.10 -2.55 -0.1939945 0.4701786 -4.2939945 -2.0798214 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6420 -38175 6100
+#> initial value 998.131940
+#> iter 2 value 837.667834
+#> iter 3 value 829.849849
+#> iter 4 value 822.780107
+#> iter 5 value 778.671889
+#> iter 6 value 768.042070
+#> iter 7 value 766.358792
+#> iter 8 value 766.316439
+#> iter 9 value 766.316422
+#> iter 9 value 766.316413
+#> iter 9 value 766.316406
+#> final value 766.316406
+#> converged
+#> This is Run number 349
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.7029792 -0.0988008 1.152979 -13.2988008 1
+#> 2 1 -3.10 -5.40 -0.1123530 1.6538453 -3.212353 -3.7461547 1
+#> 3 1 -14.60 -12.20 0.1896419 1.0037815 -14.410358 -11.1962185 2
+#> 4 1 -14.20 -0.55 -0.2192503 1.2866075 -14.419250 0.7366075 2
+#> 5 1 -5.40 -3.30 1.2603471 0.5987349 -4.139653 -2.7012651 2
+#> 6 1 -4.10 -2.55 0.4200912 1.5273118 -3.679909 -1.0226882 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6940 -36950 6100
+#> initial value 998.131940
+#> iter 2 value 854.190668
+#> iter 3 value 850.984537
+#> iter 4 value 849.667960
+#> iter 5 value 799.608553
+#> iter 6 value 789.183832
+#> iter 7 value 787.346995
+#> iter 8 value 787.301725
+#> iter 9 value 787.301647
+#> iter 9 value 787.301642
+#> iter 9 value 787.301642
+#> final value 787.301642
+#> converged
+#> This is Run number 350
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.5925671 -0.3569697 1.042567 -13.5569697 1
+#> 2 1 -3.10 -5.40 -0.2509530 -0.1001341 -3.350953 -5.5001341 1
+#> 3 1 -14.60 -12.20 2.5742240 1.5028503 -12.025776 -10.6971497 2
+#> 4 1 -14.20 -0.55 1.5946475 0.3375163 -12.605352 -0.2124837 2
+#> 5 1 -5.40 -3.30 -0.3300060 0.7734244 -5.730006 -2.5265756 2
+#> 6 1 -4.10 -2.55 0.4122108 -0.4385951 -3.687789 -2.9885951 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7000 -37750 7300
+#> initial value 998.131940
+#> iter 2 value 836.054231
+#> iter 3 value 830.970623
+#> iter 4 value 830.447175
+#> iter 5 value 780.989341
+#> iter 6 value 770.357409
+#> iter 7 value 768.803849
+#> iter 8 value 768.776971
+#> iter 9 value 768.776841
+#> iter 10 value 768.776777
+#> iter 11 value 768.776725
+#> iter 11 value 768.776719
+#> iter 11 value 768.776719
+#> final value 768.776719
+#> converged
+#> This is Run number 351
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 4.7357772 -0.6093652 4.185777 -13.8093652 1
+#> 2 1 -3.10 -5.40 0.4560364 0.5928229 -2.643964 -4.8071771 1
+#> 3 1 -14.60 -12.20 2.6142595 0.3600993 -11.985740 -11.8399007 2
+#> 4 1 -14.20 -0.55 -0.6158031 0.4438068 -14.815803 -0.1061932 2
+#> 5 1 -5.40 -3.30 2.8403811 -0.3627608 -2.559619 -3.6627608 1
+#> 6 1 -4.10 -2.55 -0.6131471 -0.8030670 -4.713147 -3.3530670 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6240 -33600 5850
+#> initial value 998.131940
+#> iter 2 value 895.917061
+#> iter 3 value 884.643172
+#> iter 4 value 883.984413
+#> iter 5 value 835.508989
+#> iter 6 value 827.863542
+#> iter 7 value 826.173295
+#> iter 8 value 826.133193
+#> iter 9 value 826.132928
+#> iter 10 value 826.132840
+#> iter 11 value 826.132716
+#> iter 12 value 826.132628
+#> iter 12 value 826.132628
+#> iter 12 value 826.132628
+#> final value 826.132628
+#> converged
+#> This is Run number 352
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.6564722 1.6132702 0.1064722 -11.586730 1
+#> 2 1 -3.10 -5.40 -0.2951973 0.2309208 -3.3951973 -5.169079 1
+#> 3 1 -14.60 -12.20 0.2405241 0.8813364 -14.3594759 -11.318664 2
+#> 4 1 -14.20 -0.55 1.3703930 -1.3122565 -12.8296070 -1.862257 2
+#> 5 1 -5.40 -3.30 2.7699399 7.8872398 -2.6300601 4.587240 2
+#> 6 1 -4.10 -2.55 2.4620000 -0.5411362 -1.6380000 -3.091136 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -37475 6650
+#> initial value 998.131940
+#> iter 2 value 844.083484
+#> iter 3 value 839.462896
+#> iter 4 value 837.720874
+#> iter 5 value 788.558092
+#> iter 6 value 777.975617
+#> iter 7 value 776.313692
+#> iter 8 value 776.278347
+#> iter 8 value 776.278345
+#> final value 776.278345
+#> converged
+#> This is Run number 353
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.3487052 -0.3780692 -0.8987052 -13.578069 1
+#> 2 1 -3.10 -5.40 -1.4592476 -0.1786644 -4.5592476 -5.578664 1
+#> 3 1 -14.60 -12.20 1.7816391 -0.0113116 -12.8183609 -12.211312 2
+#> 4 1 -14.20 -0.55 -0.6715584 1.6247415 -14.8715584 1.074742 2
+#> 5 1 -5.40 -3.30 -0.4436832 1.1222299 -5.8436832 -2.177770 2
+#> 6 1 -4.10 -2.55 -0.2669139 -0.4567685 -4.3669139 -3.006769 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6100 -34425 5575
+#> initial value 998.131940
+#> iter 2 value 888.314861
+#> iter 3 value 886.673214
+#> iter 4 value 883.738901
+#> iter 5 value 828.120985
+#> iter 6 value 819.123427
+#> iter 7 value 817.180754
+#> iter 8 value 817.137230
+#> iter 9 value 817.137124
+#> iter 10 value 817.137100
+#> iter 11 value 817.137066
+#> iter 12 value 817.137046
+#> iter 12 value 817.137046
+#> iter 12 value 817.137046
+#> final value 817.137046
+#> converged
+#> This is Run number 354
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.0068591 -0.2577364 1.456859 -13.4577364 1
+#> 2 1 -3.10 -5.40 -0.5597225 -0.5274556 -3.659723 -5.9274556 1
+#> 3 1 -14.60 -12.20 0.4229382 -1.3983646 -14.177062 -13.5983646 2
+#> 4 1 -14.20 -0.55 0.3209951 -0.2103262 -13.879005 -0.7603262 2
+#> 5 1 -5.40 -3.30 0.8443052 0.6141424 -4.555695 -2.6858576 2
+#> 6 1 -4.10 -2.55 2.7378523 -0.1122094 -1.362148 -2.6622094 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6140 -34100 6100
+#> initial value 998.131940
+#> iter 2 value 889.202909
+#> iter 3 value 888.719209
+#> iter 4 value 887.237924
+#> iter 5 value 829.367255
+#> iter 6 value 820.434416
+#> iter 7 value 818.646496
+#> iter 8 value 818.609543
+#> iter 9 value 818.609456
+#> iter 10 value 818.609425
+#> iter 11 value 818.609371
+#> iter 12 value 818.609342
+#> iter 12 value 818.609342
+#> iter 12 value 818.609342
+#> final value 818.609342
+#> converged
+#> This is Run number 355
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.9068675 -0.16353509 0.3568675 -13.3635351 1
+#> 2 1 -3.10 -5.40 1.5485945 -0.05504465 -1.5514055 -5.4550447 1
+#> 3 1 -14.60 -12.20 -0.4292956 0.87337201 -15.0292956 -11.3266280 2
+#> 4 1 -14.20 -0.55 -0.3012264 1.49658416 -14.5012264 0.9465842 2
+#> 5 1 -5.40 -3.30 0.5244595 0.01939414 -4.8755405 -3.2806059 2
+#> 6 1 -4.10 -2.55 2.3365857 -0.84324948 -1.7634143 -3.3932495 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6560 -36450 5950
+#> initial value 998.131940
+#> iter 2 value 861.788052
+#> iter 3 value 858.303730
+#> iter 4 value 855.539653
+#> iter 5 value 804.681229
+#> iter 6 value 794.552357
+#> iter 7 value 792.668111
+#> iter 8 value 792.621602
+#> iter 9 value 792.621515
+#> iter 10 value 792.621494
+#> iter 11 value 792.621457
+#> iter 12 value 792.621428
+#> iter 12 value 792.621428
+#> iter 12 value 792.621428
+#> final value 792.621428
+#> converged
+#> This is Run number 356
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.3721821 -1.39813468 -0.1778179 -14.598135 1
+#> 2 1 -3.10 -5.40 1.3791780 0.68997495 -1.7208220 -4.710025 1
+#> 3 1 -14.60 -12.20 0.4846243 2.01472330 -14.1153757 -10.185277 2
+#> 4 1 -14.20 -0.55 -1.0064552 0.06382003 -15.2064552 -0.486180 2
+#> 5 1 -5.40 -3.30 3.4175654 -0.69804739 -1.9824346 -3.998047 1
+#> 6 1 -4.10 -2.55 -0.7669203 -0.48198514 -4.8669203 -3.031985 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7300 -38400 6125
+#> initial value 998.131940
+#> iter 2 value 833.685157
+#> iter 3 value 829.003390
+#> iter 4 value 827.608937
+#> iter 5 value 782.081259
+#> iter 6 value 771.135820
+#> iter 7 value 769.441735
+#> iter 8 value 769.400694
+#> iter 9 value 769.400646
+#> iter 10 value 769.400616
+#> iter 11 value 769.400596
+#> iter 12 value 769.400548
+#> iter 12 value 769.400548
+#> iter 12 value 769.400548
+#> final value 769.400548
+#> converged
+#> This is Run number 357
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.59417822 2.2579210 0.04417822 -10.9420790 1
+#> 2 1 -3.10 -5.40 1.50804659 0.9298502 -1.59195341 -4.4701498 1
+#> 3 1 -14.60 -12.20 -0.04171116 6.7183823 -14.64171116 -5.4816177 2
+#> 4 1 -14.20 -0.55 -0.75281914 -0.2352762 -14.95281914 -0.7852762 2
+#> 5 1 -5.40 -3.30 -0.11263101 -1.0312995 -5.51263101 -4.3312995 2
+#> 6 1 -4.10 -2.55 0.60391149 0.7774452 -3.49608851 -1.7725548 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6280 -35425 6825
+#> initial value 998.131940
+#> iter 2 value 869.687396
+#> iter 3 value 867.538538
+#> iter 4 value 866.135847
+#> iter 5 value 810.442041
+#> iter 6 value 800.716522
+#> iter 7 value 799.024210
+#> iter 8 value 798.990871
+#> iter 9 value 798.990820
+#> iter 10 value 798.990792
+#> iter 11 value 798.990738
+#> iter 12 value 798.990703
+#> iter 12 value 798.990703
+#> iter 12 value 798.990703
+#> final value 798.990703
+#> converged
+#> This is Run number 358
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.102055959 1.06050025 -0.652056 -12.1394997 1
+#> 2 1 -3.10 -5.40 0.002257989 -0.53829562 -3.097742 -5.9382956 1
+#> 3 1 -14.60 -12.20 1.190130450 1.29024981 -13.409870 -10.9097502 2
+#> 4 1 -14.20 -0.55 1.228287141 0.02338714 -12.971713 -0.5266129 2
+#> 5 1 -5.40 -3.30 -0.012954657 1.55317728 -5.412955 -1.7468227 2
+#> 6 1 -4.10 -2.55 0.297812149 -1.19067602 -3.802188 -3.7406760 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7120 -38200 7750
+#> initial value 998.131940
+#> iter 2 value 826.564945
+#> iter 3 value 820.308028
+#> iter 4 value 820.091458
+#> iter 5 value 771.477496
+#> iter 6 value 760.893610
+#> iter 7 value 759.393242
+#> iter 8 value 759.370160
+#> iter 9 value 759.369861
+#> iter 10 value 759.369800
+#> iter 11 value 759.369785
+#> iter 12 value 759.369746
+#> iter 12 value 759.369746
+#> iter 12 value 759.369746
+#> final value 759.369746
+#> converged
+#> This is Run number 359
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.361376074 0.81718045 0.8113761 -12.382819551 1
+#> 2 1 -3.10 -5.40 -0.692678626 -0.69777938 -3.7926786 -6.097779377 1
+#> 3 1 -14.60 -12.20 -0.446571428 0.47055002 -15.0465714 -11.729449980 2
+#> 4 1 -14.20 -0.55 0.007104863 0.55266287 -14.1928951 0.002662869 2
+#> 5 1 -5.40 -3.30 0.378809551 0.69400274 -5.0211904 -2.605997260 2
+#> 6 1 -4.10 -2.55 -0.384882529 -0.02863621 -4.4848825 -2.578636208 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6220 -35800 5400
+#> initial value 998.131940
+#> iter 2 value 872.909893
+#> iter 3 value 868.910826
+#> iter 4 value 863.842292
+#> iter 5 value 813.007836
+#> iter 6 value 803.322332
+#> iter 7 value 801.260313
+#> iter 8 value 801.206638
+#> iter 9 value 801.206497
+#> iter 9 value 801.206491
+#> iter 9 value 801.206491
+#> final value 801.206491
+#> converged
+#> This is Run number 360
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.06129973 -0.02704335 -0.6112997 -13.2270433 1
+#> 2 1 -3.10 -5.40 -0.00527531 3.31397336 -3.1052753 -2.0860266 2
+#> 3 1 -14.60 -12.20 -0.23005017 0.50591375 -14.8300502 -11.6940863 2
+#> 4 1 -14.20 -0.55 0.07396399 -0.56464816 -14.1260360 -1.1146482 2
+#> 5 1 -5.40 -3.30 -1.13464272 3.19145133 -6.5346427 -0.1085487 2
+#> 6 1 -4.10 -2.55 -0.21706630 3.32225109 -4.3170663 0.7722511 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6520 -37775 6450
+#> initial value 998.131940
+#> iter 2 value 841.287606
+#> iter 3 value 835.035157
+#> iter 4 value 830.723024
+#> iter 5 value 783.682128
+#> iter 6 value 773.105610
+#> iter 7 value 771.442773
+#> iter 8 value 771.405148
+#> iter 8 value 771.405143
+#> final value 771.405143
+#> converged
+#> This is Run number 361
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.21964606 -1.4139900 -0.3303539 -14.613990 1
+#> 2 1 -3.10 -5.40 -0.04649336 -0.7049580 -3.1464934 -6.104958 1
+#> 3 1 -14.60 -12.20 1.51790921 -0.7929801 -13.0820908 -12.992980 2
+#> 4 1 -14.20 -0.55 0.90580090 1.7815181 -13.2941991 1.231518 2
+#> 5 1 -5.40 -3.30 0.09964957 -0.8592025 -5.3003504 -4.159203 2
+#> 6 1 -4.10 -2.55 1.33973480 -0.4142311 -2.7602652 -2.964231 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7020 -36350 5750
+#> initial value 998.131940
+#> iter 2 value 863.781644
+#> iter 3 value 861.678897
+#> iter 4 value 860.808197
+#> iter 5 value 809.399817
+#> iter 6 value 799.282920
+#> iter 7 value 797.280242
+#> iter 8 value 797.227473
+#> iter 9 value 797.227328
+#> iter 10 value 797.227309
+#> iter 11 value 797.227268
+#> iter 12 value 797.227223
+#> iter 12 value 797.227223
+#> iter 12 value 797.227223
+#> final value 797.227223
+#> converged
+#> This is Run number 362
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.5696725 -0.1423596 0.01967252 -13.3423596 1
+#> 2 1 -3.10 -5.40 5.2902971 1.2575433 2.19029705 -4.1424567 1
+#> 3 1 -14.60 -12.20 0.5261466 0.5170688 -14.07385342 -11.6829312 2
+#> 4 1 -14.20 -0.55 -0.5775133 0.9986807 -14.77751333 0.4486807 2
+#> 5 1 -5.40 -3.30 0.7100522 -1.3775940 -4.68994775 -4.6775940 2
+#> 6 1 -4.10 -2.55 1.3183086 2.0202015 -2.78169142 -0.5297985 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6100 -36100 6025
+#> initial value 998.131940
+#> iter 2 value 865.985802
+#> iter 3 value 861.388810
+#> iter 4 value 856.336566
+#> iter 5 value 805.236968
+#> iter 6 value 795.329397
+#> iter 7 value 793.487860
+#> iter 8 value 793.444439
+#> iter 9 value 793.444372
+#> iter 10 value 793.444356
+#> iter 11 value 793.444331
+#> iter 12 value 793.444311
+#> iter 12 value 793.444311
+#> iter 12 value 793.444311
+#> final value 793.444311
+#> converged
+#> This is Run number 363
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.9841202 -0.5914546 1.434120 -13.7914546 1
+#> 2 1 -3.10 -5.40 -0.8890539 2.2907894 -3.989054 -3.1092106 2
+#> 3 1 -14.60 -12.20 -0.6184924 2.4931550 -15.218492 -9.7068450 2
+#> 4 1 -14.20 -0.55 -0.7904921 1.0970654 -14.990492 0.5470654 2
+#> 5 1 -5.40 -3.30 0.9831671 -0.8651421 -4.416833 -4.1651421 2
+#> 6 1 -4.10 -2.55 1.0922103 -0.2549639 -3.007790 -2.8049639 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7140 -35325 5325
+#> initial value 998.131940
+#> iter 2 value 878.421475
+#> iter 3 value 877.730134
+#> iter 4 value 877.474827
+#> iter 5 value 823.784825
+#> iter 6 value 814.328736
+#> iter 7 value 812.111988
+#> iter 8 value 812.052741
+#> iter 9 value 812.052515
+#> iter 10 value 812.052497
+#> iter 11 value 812.052456
+#> iter 12 value 812.052403
+#> iter 12 value 812.052403
+#> iter 12 value 812.052403
+#> final value 812.052403
+#> converged
+#> This is Run number 364
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.6093994 1.57381011 0.05939938 -11.6261899 1
+#> 2 1 -3.10 -5.40 1.1584261 -0.24034911 -1.94157391 -5.6403491 1
+#> 3 1 -14.60 -12.20 1.7796183 0.04261426 -12.82038168 -12.1573857 2
+#> 4 1 -14.20 -0.55 0.9852640 -0.27717865 -13.21473605 -0.8271787 2
+#> 5 1 -5.40 -3.30 0.4048628 2.14943596 -4.99513715 -1.1505640 2
+#> 6 1 -4.10 -2.55 -1.7274464 0.95476095 -5.82744643 -1.5952391 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6840 -37625 6125
+#> initial value 998.131940
+#> iter 2 value 845.021076
+#> iter 3 value 840.320996
+#> iter 4 value 837.668044
+#> iter 5 value 790.059118
+#> iter 6 value 779.425585
+#> iter 7 value 777.664621
+#> iter 8 value 777.621654
+#> iter 9 value 777.621612
+#> iter 10 value 777.621591
+#> iter 11 value 777.621551
+#> iter 12 value 777.621521
+#> iter 12 value 777.621521
+#> iter 12 value 777.621521
+#> final value 777.621521
+#> converged
+#> This is Run number 365
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.33970913 -1.9514608 -0.8897091 -15.151461 1
+#> 2 1 -3.10 -5.40 0.64169571 -0.1077322 -2.4583043 -5.507732 1
+#> 3 1 -14.60 -12.20 -1.45740193 2.0090476 -16.0574019 -10.190952 2
+#> 4 1 -14.20 -0.55 -0.03527376 1.8745211 -14.2352738 1.324521 2
+#> 5 1 -5.40 -3.30 2.96379126 0.6926719 -2.4362087 -2.607328 1
+#> 6 1 -4.10 -2.55 3.28880005 0.1669183 -0.8111999 -2.383082 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7300 -37025 5275
+#> initial value 998.131940
+#> iter 2 value 857.107144
+#> iter 3 value 854.661940
+#> iter 4 value 853.578040
+#> iter 5 value 804.903660
+#> iter 6 value 794.560660
+#> iter 7 value 792.385891
+#> iter 8 value 792.321229
+#> iter 9 value 792.321011
+#> iter 10 value 792.320998
+#> iter 11 value 792.320972
+#> iter 12 value 792.320933
+#> iter 12 value 792.320933
+#> iter 12 value 792.320933
+#> final value 792.320933
+#> converged
+#> This is Run number 366
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 4.5994536 0.2317935 4.049454 -12.9682065 1
+#> 2 1 -3.10 -5.40 1.0648082 0.7830543 -2.035192 -4.6169457 1
+#> 3 1 -14.60 -12.20 1.8206327 1.5031083 -12.779367 -10.6968917 2
+#> 4 1 -14.20 -0.55 -0.6988336 -0.3872181 -14.898834 -0.9372181 2
+#> 5 1 -5.40 -3.30 -0.6884480 0.2801375 -6.088448 -3.0198625 2
+#> 6 1 -4.10 -2.55 0.4071055 -0.3185551 -3.692895 -2.8685551 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7820 -38025 4950
+#> initial value 998.131940
+#> iter 2 value 844.301020
+#> iter 3 value 841.688569
+#> iter 4 value 841.053587
+#> iter 5 value 795.770360
+#> iter 6 value 785.041942
+#> iter 7 value 782.783263
+#> iter 8 value 782.708101
+#> iter 9 value 782.707809
+#> iter 9 value 782.707805
+#> iter 9 value 782.707805
+#> final value 782.707805
+#> converged
+#> This is Run number 367
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 4.8798860 0.34970325 4.3298860 -12.850297 1
+#> 2 1 -3.10 -5.40 2.2268228 -1.15427674 -0.8731772 -6.554277 1
+#> 3 1 -14.60 -12.20 0.3365616 0.03761497 -14.2634384 -12.162385 2
+#> 4 1 -14.20 -0.55 1.1201358 1.42342802 -13.0798642 0.873428 2
+#> 5 1 -5.40 -3.30 3.7567178 -0.64069928 -1.6432822 -3.940699 1
+#> 6 1 -4.10 -2.55 0.4806919 1.05618230 -3.6193081 -1.493818 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7480 -37225 5625
+#> initial value 998.131940
+#> iter 2 value 852.468365
+#> iter 3 value 850.029105
+#> iter 4 value 849.659616
+#> iter 5 value 800.956038
+#> iter 6 value 790.420237
+#> iter 7 value 788.402302
+#> iter 8 value 788.345090
+#> iter 9 value 788.344929
+#> iter 9 value 788.344919
+#> iter 9 value 788.344919
+#> final value 788.344919
+#> converged
+#> This is Run number 368
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.3485120 1.78368835 1.798512 -11.4163116 1
+#> 2 1 -3.10 -5.40 1.0053941 0.03980291 -2.094606 -5.3601971 1
+#> 3 1 -14.60 -12.20 1.3760258 2.38309451 -13.223974 -9.8169055 2
+#> 4 1 -14.20 -0.55 1.1961354 0.28234741 -13.003865 -0.2676526 2
+#> 5 1 -5.40 -3.30 0.7803861 0.38910651 -4.619614 -2.9108935 2
+#> 6 1 -4.10 -2.55 1.0921639 -1.40317233 -3.007836 -3.9531723 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6760 -36800 5475
+#> initial value 998.131940
+#> iter 2 value 859.581648
+#> iter 3 value 855.956626
+#> iter 4 value 852.862454
+#> iter 5 value 803.920882
+#> iter 6 value 793.691341
+#> iter 7 value 791.649425
+#> iter 8 value 791.592943
+#> iter 9 value 791.592799
+#> iter 10 value 791.592784
+#> iter 11 value 791.592761
+#> iter 12 value 791.592736
+#> iter 12 value 791.592736
+#> iter 12 value 791.592736
+#> final value 791.592736
+#> converged
+#> This is Run number 369
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.1555607 0.38254696 -0.7055607 -12.817453 1
+#> 2 1 -3.10 -5.40 0.4966237 -0.91855979 -2.6033763 -6.318560 1
+#> 3 1 -14.60 -12.20 0.6564322 0.03175973 -13.9435678 -12.168240 2
+#> 4 1 -14.20 -0.55 -0.7493219 -0.07781498 -14.9493219 -0.627815 2
+#> 5 1 -5.40 -3.30 0.9675763 -0.17084859 -4.4324237 -3.470849 2
+#> 6 1 -4.10 -2.55 -1.5882530 1.02273340 -5.6882530 -1.527267 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -36400 5850
+#> initial value 998.131940
+#> iter 2 value 862.990505
+#> iter 3 value 859.337388
+#> iter 4 value 856.095229
+#> iter 5 value 805.432658
+#> iter 6 value 795.350171
+#> iter 7 value 793.438365
+#> iter 8 value 793.390465
+#> iter 9 value 793.390371
+#> iter 10 value 793.390351
+#> iter 11 value 793.390319
+#> iter 12 value 793.390294
+#> iter 12 value 793.390294
+#> iter 12 value 793.390294
+#> final value 793.390294
+#> converged
+#> This is Run number 370
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.21172576 1.6518344 -0.7617258 -11.548166 1
+#> 2 1 -3.10 -5.40 2.38969603 2.2480174 -0.7103040 -3.151983 1
+#> 3 1 -14.60 -12.20 -0.60369399 0.2516953 -15.2036940 -11.948305 2
+#> 4 1 -14.20 -0.55 0.54379298 2.0987438 -13.6562070 1.548744 2
+#> 5 1 -5.40 -3.30 0.05276855 0.3163992 -5.3472315 -2.983601 2
+#> 6 1 -4.10 -2.55 0.39276349 -1.2509865 -3.7072365 -3.800987 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -36650 7150
+#> initial value 998.131940
+#> iter 2 value 852.322478
+#> iter 3 value 847.240419
+#> iter 4 value 844.091983
+#> iter 5 value 791.981406
+#> iter 6 value 781.832590
+#> iter 7 value 780.209722
+#> iter 8 value 780.179083
+#> iter 9 value 780.179047
+#> iter 10 value 780.179028
+#> iter 11 value 780.178981
+#> iter 12 value 780.178949
+#> iter 12 value 780.178949
+#> iter 12 value 780.178949
+#> final value 780.178949
+#> converged
+#> This is Run number 371
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.8194047 0.94696431 0.2694047 -12.2530357 1
+#> 2 1 -3.10 -5.40 6.6306883 0.25167073 3.5306883 -5.1483293 1
+#> 3 1 -14.60 -12.20 0.4956553 1.86008391 -14.1043447 -10.3399161 2
+#> 4 1 -14.20 -0.55 -0.6707791 0.09890618 -14.8707791 -0.4510938 2
+#> 5 1 -5.40 -3.30 -0.5787289 -0.10847633 -5.9787289 -3.4084763 2
+#> 6 1 -4.10 -2.55 0.3685645 0.77202972 -3.7314355 -1.7779703 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7260 -37725 6650
+#> initial value 998.131940
+#> iter 2 value 840.209503
+#> iter 3 value 836.175063
+#> iter 4 value 835.785948
+#> iter 5 value 787.189670
+#> iter 6 value 776.426694
+#> iter 7 value 774.783764
+#> iter 8 value 774.749292
+#> iter 9 value 774.749239
+#> iter 10 value 774.749210
+#> iter 11 value 774.749152
+#> iter 12 value 774.749111
+#> iter 12 value 774.749111
+#> iter 12 value 774.749111
+#> final value 774.749111
+#> converged
+#> This is Run number 372
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.67590023 0.2924278 2.125900 -12.9075722 1
+#> 2 1 -3.10 -5.40 1.91449773 3.0404622 -1.185502 -2.3595378 1
+#> 3 1 -14.60 -12.20 3.43680445 -0.1903183 -11.163196 -12.3903183 1
+#> 4 1 -14.20 -0.55 0.93465343 -0.1120168 -13.265347 -0.6620168 2
+#> 5 1 -5.40 -3.30 -0.76060569 2.1569509 -6.160606 -1.1430491 2
+#> 6 1 -4.10 -2.55 0.07346083 0.9604533 -4.026539 -1.5895467 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6060 -35850 7300
+#> initial value 998.131940
+#> iter 2 value 861.572426
+#> iter 3 value 857.991491
+#> iter 4 value 855.746648
+#> iter 5 value 800.666848
+#> iter 6 value 790.808577
+#> iter 7 value 789.186710
+#> iter 8 value 789.157868
+#> iter 9 value 789.157832
+#> iter 10 value 789.157809
+#> iter 11 value 789.157760
+#> iter 12 value 789.157729
+#> iter 12 value 789.157729
+#> iter 12 value 789.157729
+#> final value 789.157729
+#> converged
+#> This is Run number 373
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.7763274 -0.7855703 0.2263274 -13.9855703 1
+#> 2 1 -3.10 -5.40 3.3700005 -0.9081530 0.2700005 -6.3081530 1
+#> 3 1 -14.60 -12.20 2.9911348 -1.3246932 -11.6088652 -13.5246932 1
+#> 4 1 -14.20 -0.55 0.1058017 -0.8986712 -14.0941983 -1.4486712 2
+#> 5 1 -5.40 -3.30 0.9934824 -1.1611003 -4.4065176 -4.4611003 1
+#> 6 1 -4.10 -2.55 -0.4212217 3.0053261 -4.5212217 0.4553261 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6780 -35700 5800
+#> initial value 998.131940
+#> iter 2 value 871.842255
+#> iter 3 value 870.181808
+#> iter 4 value 869.140996
+#> iter 5 value 815.851488
+#> iter 6 value 806.069743
+#> iter 7 value 804.085383
+#> iter 8 value 804.035741
+#> iter 9 value 804.035604
+#> iter 10 value 804.035580
+#> iter 11 value 804.035535
+#> iter 12 value 804.035494
+#> iter 12 value 804.035494
+#> iter 12 value 804.035494
+#> final value 804.035494
+#> converged
+#> This is Run number 374
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.04131067 1.0717210 -0.5086893 -12.1282790 1
+#> 2 1 -3.10 -5.40 1.49557633 -0.4311967 -1.6044237 -5.8311967 1
+#> 3 1 -14.60 -12.20 0.83695134 -1.6681346 -13.7630487 -13.8681346 1
+#> 4 1 -14.20 -0.55 0.70174826 1.3105491 -13.4982517 0.7605491 2
+#> 5 1 -5.40 -3.30 -0.85419698 1.3496188 -6.2541970 -1.9503812 2
+#> 6 1 -4.10 -2.55 0.85611569 1.5364953 -3.2438843 -1.0135047 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7260 -37450 5825
+#> initial value 998.131940
+#> iter 2 value 848.654754
+#> iter 3 value 845.466833
+#> iter 4 value 844.503627
+#> iter 5 value 796.298136
+#> iter 6 value 785.658797
+#> iter 7 value 783.760973
+#> iter 8 value 783.710214
+#> iter 9 value 783.710113
+#> iter 9 value 783.710102
+#> iter 9 value 783.710102
+#> final value 783.710102
+#> converged
+#> This is Run number 375
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.51141240 -0.02319859 -1.061412 -13.2231986 1
+#> 2 1 -3.10 -5.40 0.12820851 -1.15178452 -2.971791 -6.5517845 1
+#> 3 1 -14.60 -12.20 -0.06290801 1.66005661 -14.662908 -10.5399434 2
+#> 4 1 -14.20 -0.55 0.97296955 0.10896857 -13.227030 -0.4410314 2
+#> 5 1 -5.40 -3.30 -0.06765655 -0.28512771 -5.467657 -3.5851277 2
+#> 6 1 -4.10 -2.55 2.15475931 -0.89532243 -1.945241 -3.4453224 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -36450 7250
+#> initial value 998.131940
+#> iter 2 value 853.919032
+#> iter 3 value 850.839789
+#> iter 4 value 850.604033
+#> iter 5 value 797.151495
+#> iter 6 value 786.885441
+#> iter 7 value 785.279965
+#> iter 8 value 785.251514
+#> iter 9 value 785.251458
+#> iter 10 value 785.251430
+#> iter 11 value 785.251381
+#> iter 12 value 785.251346
+#> iter 12 value 785.251346
+#> iter 12 value 785.251346
+#> final value 785.251346
+#> converged
+#> This is Run number 376
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.8423649 -0.08341085 0.2923649 -13.2834109 1
+#> 2 1 -3.10 -5.40 -0.4554585 2.70875687 -3.5554585 -2.6912431 2
+#> 3 1 -14.60 -12.20 1.9208162 1.24184447 -12.6791838 -10.9581555 2
+#> 4 1 -14.20 -0.55 -0.1727329 0.92980384 -14.3727329 0.3798038 2
+#> 5 1 -5.40 -3.30 -0.5425783 1.20129073 -5.9425783 -2.0987093 2
+#> 6 1 -4.10 -2.55 -1.4287840 1.30847199 -5.5287840 -1.2415280 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7540 -38300 5350
+#> initial value 998.131940
+#> iter 2 value 838.903108
+#> iter 3 value 835.246568
+#> iter 4 value 833.853932
+#> iter 5 value 789.103128
+#> iter 6 value 778.191859
+#> iter 7 value 776.215553
+#> iter 8 value 776.156018
+#> iter 9 value 776.155882
+#> iter 9 value 776.155870
+#> iter 9 value 776.155870
+#> final value 776.155870
+#> converged
+#> This is Run number 377
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.6398955 1.0063367 0.08989546 -12.193663 1
+#> 2 1 -3.10 -5.40 0.6739877 3.4796861 -2.42601229 -1.920314 2
+#> 3 1 -14.60 -12.20 0.4839745 1.5279169 -14.11602548 -10.672083 2
+#> 4 1 -14.20 -0.55 -0.3188919 4.2593160 -14.51889194 3.709316 2
+#> 5 1 -5.40 -3.30 0.2822392 0.1005376 -5.11776081 -3.199462 2
+#> 6 1 -4.10 -2.55 2.2102199 -0.4763352 -1.88978014 -3.026335 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -37025 6700
+#> initial value 998.131940
+#> iter 2 value 849.835330
+#> iter 3 value 846.074742
+#> iter 4 value 844.978984
+#> iter 5 value 794.184743
+#> iter 6 value 783.725042
+#> iter 7 value 782.042253
+#> iter 8 value 782.006859
+#> iter 9 value 782.006801
+#> iter 10 value 782.006759
+#> iter 11 value 782.006730
+#> iter 12 value 782.006695
+#> iter 12 value 782.006695
+#> iter 12 value 782.006695
+#> final value 782.006695
+#> converged
+#> This is Run number 378
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.2640406 1.22488463 -1.814041 -11.9751154 1
+#> 2 1 -3.10 -5.40 0.3439653 0.63605551 -2.756035 -4.7639445 1
+#> 3 1 -14.60 -12.20 -1.5681418 0.21434403 -16.168142 -11.9856560 2
+#> 4 1 -14.20 -0.55 -0.6632564 -0.31363370 -14.863256 -0.8636337 2
+#> 5 1 -5.40 -3.30 0.1927014 -0.04378289 -5.207299 -3.3437829 2
+#> 6 1 -4.10 -2.55 -0.2305085 2.35313760 -4.330509 -0.1968624 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6340 -37175 6900
+#> initial value 998.131940
+#> iter 2 value 846.879241
+#> iter 3 value 841.271938
+#> iter 4 value 837.864044
+#> iter 5 value 787.886447
+#> iter 6 value 777.528535
+#> iter 7 value 775.896096
+#> iter 8 value 775.863168
+#> iter 9 value 775.863133
+#> iter 10 value 775.863112
+#> iter 11 value 775.863066
+#> iter 12 value 775.863036
+#> iter 12 value 775.863036
+#> iter 12 value 775.863036
+#> final value 775.863036
+#> converged
+#> This is Run number 379
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.6482673 -0.4418714 1.098267 -13.641871 1
+#> 2 1 -3.10 -5.40 0.6418091 -0.8982420 -2.458191 -6.298242 1
+#> 3 1 -14.60 -12.20 1.2104646 -1.1635889 -13.389535 -13.363589 2
+#> 4 1 -14.20 -0.55 -0.9895729 3.7527684 -15.189573 3.202768 2
+#> 5 1 -5.40 -3.30 -0.5661864 -0.3103772 -5.966186 -3.610377 2
+#> 6 1 -4.10 -2.55 0.2286540 0.3571501 -3.871346 -2.192850 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7400 -37550 5275
+#> initial value 998.131940
+#> iter 2 value 849.923792
+#> iter 3 value 846.993149
+#> iter 4 value 845.750998
+#> iter 5 value 798.712956
+#> iter 6 value 788.124251
+#> iter 7 value 786.005293
+#> iter 8 value 785.941052
+#> iter 9 value 785.940853
+#> iter 10 value 785.940841
+#> iter 11 value 785.940818
+#> iter 12 value 785.940782
+#> iter 12 value 785.940782
+#> iter 12 value 785.940782
+#> final value 785.940782
+#> converged
+#> This is Run number 380
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.5913419 0.8591500 0.04134187 -12.340850 1
+#> 2 1 -3.10 -5.40 0.5663890 3.6410982 -2.53361096 -1.758902 2
+#> 3 1 -14.60 -12.20 0.4704529 0.4076591 -14.12954705 -11.792341 2
+#> 4 1 -14.20 -0.55 0.8549917 2.0658797 -13.34500832 1.515880 2
+#> 5 1 -5.40 -3.30 2.3817379 -0.5722615 -3.01826214 -3.872262 1
+#> 6 1 -4.10 -2.55 -0.8420066 0.8012722 -4.94200657 -1.748728 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6500 -37375 6975
+#> initial value 998.131940
+#> iter 2 value 843.643601
+#> iter 3 value 838.180128
+#> iter 4 value 835.569497
+#> iter 5 value 785.840938
+#> iter 6 value 775.392088
+#> iter 7 value 773.776304
+#> iter 8 value 773.744396
+#> iter 9 value 773.744348
+#> iter 10 value 773.744304
+#> iter 11 value 773.744254
+#> iter 12 value 773.744242
+#> iter 12 value 773.744242
+#> iter 12 value 773.744242
+#> final value 773.744242
+#> converged
+#> This is Run number 381
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.4064340 0.5553603 1.856434 -12.64463975 1
+#> 2 1 -3.10 -5.40 -0.5543782 -0.2414972 -3.654378 -5.64149722 1
+#> 3 1 -14.60 -12.20 -0.4472946 1.0161194 -15.047295 -11.18388064 2
+#> 4 1 -14.20 -0.55 -1.0409524 0.5101768 -15.240952 -0.03982320 2
+#> 5 1 -5.40 -3.30 -0.8885856 0.1085566 -6.288586 -3.19144345 2
+#> 6 1 -4.10 -2.55 0.1570972 2.6090115 -3.942903 0.05901152 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6740 -37975 6125
+#> initial value 998.131940
+#> iter 2 value 840.216218
+#> iter 3 value 834.428423
+#> iter 4 value 830.524080
+#> iter 5 value 784.471355
+#> iter 6 value 773.775574
+#> iter 7 value 772.057761
+#> iter 8 value 772.015782
+#> iter 9 value 772.015766
+#> iter 10 value 772.015754
+#> iter 11 value 772.015717
+#> iter 12 value 772.015679
+#> iter 12 value 772.015679
+#> iter 12 value 772.015679
+#> final value 772.015679
+#> converged
+#> This is Run number 382
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.04153905 0.6770564 -1.5915391 -12.522944 1
+#> 2 1 -3.10 -5.40 2.31438670 -0.1314758 -0.7856133 -5.531476 1
+#> 3 1 -14.60 -12.20 -0.42294321 0.5442649 -15.0229432 -11.655735 2
+#> 4 1 -14.20 -0.55 -0.33988791 1.6903700 -14.5398879 1.140370 2
+#> 5 1 -5.40 -3.30 -0.01752929 0.9388331 -5.4175293 -2.361167 2
+#> 6 1 -4.10 -2.55 0.18171791 3.7016463 -3.9182821 1.151646 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7120 -38425 6175
+#> initial value 998.131940
+#> iter 2 value 833.232303
+#> iter 3 value 827.960398
+#> iter 4 value 825.754147
+#> iter 5 value 780.470378
+#> iter 6 value 769.572754
+#> iter 7 value 767.899190
+#> iter 8 value 767.859177
+#> iter 8 value 767.859167
+#> final value 767.859167
+#> converged
+#> This is Run number 383
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.7427350 0.56399015 1.192735 -12.636010 1
+#> 2 1 -3.10 -5.40 1.9155275 1.03323422 -1.184473 -4.366766 1
+#> 3 1 -14.60 -12.20 -1.0557249 -0.07745315 -15.655725 -12.277453 2
+#> 4 1 -14.20 -0.55 0.6046827 7.37232381 -13.595317 6.822324 2
+#> 5 1 -5.40 -3.30 -0.7274459 0.17800397 -6.127446 -3.121996 2
+#> 6 1 -4.10 -2.55 -0.6949834 0.13773659 -4.794983 -2.412263 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7740 -39350 4425
+#> initial value 998.131940
+#> iter 2 value 827.424203
+#> iter 3 value 822.708202
+#> iter 4 value 818.976846
+#> iter 5 value 779.798415
+#> iter 6 value 768.776887
+#> iter 7 value 766.577718
+#> iter 8 value 766.495143
+#> iter 9 value 766.494796
+#> iter 9 value 766.494788
+#> iter 9 value 766.494783
+#> final value 766.494783
+#> converged
+#> This is Run number 384
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.8115721 1.1004025 0.2615721 -12.099598 1
+#> 2 1 -3.10 -5.40 0.8256616 -1.3238528 -2.2743384 -6.723853 1
+#> 3 1 -14.60 -12.20 0.8726621 0.7724812 -13.7273379 -11.427519 2
+#> 4 1 -14.20 -0.55 2.0507235 -1.3486172 -12.1492765 -1.898617 2
+#> 5 1 -5.40 -3.30 1.1133976 2.5937190 -4.2866024 -0.706281 2
+#> 6 1 -4.10 -2.55 3.6308088 1.1881128 -0.4691912 -1.361887 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6880 -36300 5325
+#> initial value 998.131940
+#> iter 2 value 866.679681
+#> iter 3 value 864.218248
+#> iter 4 value 862.254243
+#> iter 5 value 811.673300
+#> iter 6 value 801.701079
+#> iter 7 value 799.547435
+#> iter 8 value 799.487480
+#> iter 9 value 799.487292
+#> iter 10 value 799.487275
+#> iter 11 value 799.487248
+#> iter 12 value 799.487216
+#> iter 12 value 799.487216
+#> iter 12 value 799.487216
+#> final value 799.487216
+#> converged
+#> This is Run number 385
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.60850788 1.57661064 1.058508 -11.6233894 1
+#> 2 1 -3.10 -5.40 0.08698909 0.72350881 -3.013011 -4.6764912 1
+#> 3 1 -14.60 -12.20 -0.47789314 0.03796487 -15.077893 -12.1620351 2
+#> 4 1 -14.20 -0.55 0.64111377 -0.32523293 -13.558886 -0.8752329 2
+#> 5 1 -5.40 -3.30 -1.13894988 0.49421141 -6.538950 -2.8057886 2
+#> 6 1 -4.10 -2.55 2.22847781 -0.99244022 -1.871522 -3.5424402 1
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6820 -37475 5600
+#> initial value 998.131940
+#> iter 2 value 849.883778
+#> iter 3 value 845.289012
+#> iter 4 value 841.658193
+#> iter 5 value 794.761464
+#> iter 6 value 784.229511
+#> iter 7 value 782.297142
+#> iter 8 value 782.243806
+#> iter 9 value 782.243704
+#> iter 10 value 782.243691
+#> iter 11 value 782.243669
+#> iter 12 value 782.243647
+#> iter 12 value 782.243647
+#> iter 12 value 782.243647
+#> final value 782.243647
+#> converged
+#> This is Run number 386
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.02579991 -0.7087983 -0.5757999 -13.9087983 1
+#> 2 1 -3.10 -5.40 0.66662677 2.4421075 -2.4333732 -2.9578925 1
+#> 3 1 -14.60 -12.20 0.24822450 -0.5104779 -14.3517755 -12.7104779 2
+#> 4 1 -14.20 -0.55 5.43179944 1.0732607 -8.7682006 0.5232607 2
+#> 5 1 -5.40 -3.30 1.80192769 2.3543845 -3.5980723 -0.9456155 2
+#> 6 1 -4.10 -2.55 -1.07181723 -0.1049788 -5.1718172 -2.6549788 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6340 -36575 6175
+#> initial value 998.131940
+#> iter 2 value 859.043298
+#> iter 3 value 854.570130
+#> iter 4 value 850.670792
+#> iter 5 value 800.233942
+#> iter 6 value 790.072779
+#> iter 7 value 788.273557
+#> iter 8 value 788.231364
+#> iter 9 value 788.231310
+#> iter 10 value 788.231295
+#> iter 11 value 788.231260
+#> iter 12 value 788.231230
+#> iter 12 value 788.231230
+#> iter 12 value 788.231230
+#> final value 788.231230
+#> converged
+#> This is Run number 387
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.5937007 1.0553617 -1.143701 -12.144638 1
+#> 2 1 -3.10 -5.40 0.1414100 -0.3178081 -2.958590 -5.717808 1
+#> 3 1 -14.60 -12.20 2.8443825 3.1243634 -11.755617 -9.075637 2
+#> 4 1 -14.20 -0.55 1.4763160 2.2306441 -12.723684 1.680644 2
+#> 5 1 -5.40 -3.30 0.9374540 -0.2787169 -4.462546 -3.578717 2
+#> 6 1 -4.10 -2.55 0.6807364 -0.2342607 -3.419264 -2.784261 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6160 -36375 6900
+#> initial value 998.131940
+#> iter 2 value 857.440913
+#> iter 3 value 852.956125
+#> iter 4 value 849.772052
+#> iter 5 value 797.253596
+#> iter 6 value 787.183801
+#> iter 7 value 785.522528
+#> iter 8 value 785.489651
+#> iter 9 value 785.489600
+#> iter 10 value 785.489558
+#> iter 11 value 785.489537
+#> iter 12 value 785.489519
+#> iter 12 value 785.489519
+#> iter 12 value 785.489519
+#> final value 785.489519
+#> converged
+#> This is Run number 388
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.36174480 2.7714974 -0.9117448 -10.428503 1
+#> 2 1 -3.10 -5.40 4.52591694 0.7494141 1.4259169 -4.650586 1
+#> 3 1 -14.60 -12.20 1.18732072 -0.6703147 -13.4126793 -12.870315 2
+#> 4 1 -14.20 -0.55 0.02045354 -1.2137956 -14.1795465 -1.763796 2
+#> 5 1 -5.40 -3.30 -1.14195155 -0.1284578 -6.5419516 -3.428458 2
+#> 6 1 -4.10 -2.55 -0.36668462 0.6685271 -4.4666846 -1.881473 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6700 -37425 7250
+#> initial value 998.131940
+#> iter 2 value 841.098085
+#> iter 3 value 836.023028
+#> iter 4 value 834.743978
+#> iter 5 value 784.402702
+#> iter 6 value 773.907471
+#> iter 7 value 772.324222
+#> iter 8 value 772.295524
+#> iter 9 value 772.295439
+#> iter 10 value 772.295382
+#> iter 11 value 772.295329
+#> iter 11 value 772.295325
+#> iter 11 value 772.295325
+#> final value 772.295325
+#> converged
+#> This is Run number 389
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 3.1351235 -1.0196000 2.585124 -14.219600 1
+#> 2 1 -3.10 -5.40 0.6471258 1.1239794 -2.452874 -4.276021 1
+#> 3 1 -14.60 -12.20 -1.3715849 1.7895763 -15.971585 -10.410424 2
+#> 4 1 -14.20 -0.55 0.1268548 2.7886226 -14.073145 2.238623 2
+#> 5 1 -5.40 -3.30 -1.2344047 0.8716523 -6.634405 -2.428348 2
+#> 6 1 -4.10 -2.55 0.8286841 -0.2080549 -3.271316 -2.758055 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6200 -37450 6975
+#> initial value 998.131940
+#> iter 2 value 842.718842
+#> iter 3 value 835.851092
+#> iter 4 value 831.089809
+#> iter 5 value 782.349490
+#> iter 6 value 771.982758
+#> iter 7 value 770.377198
+#> iter 8 value 770.344590
+#> iter 9 value 770.344547
+#> iter 10 value 770.344509
+#> iter 11 value 770.344471
+#> iter 11 value 770.344467
+#> iter 11 value 770.344467
+#> final value 770.344467
+#> converged
+#> This is Run number 390
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.3394136 2.2706698 -0.8894136 -10.9293302 1
+#> 2 1 -3.10 -5.40 -0.3372620 -0.2321140 -3.4372620 -5.6321140 1
+#> 3 1 -14.60 -12.20 0.5585245 0.4357659 -14.0414755 -11.7642341 2
+#> 4 1 -14.20 -0.55 0.8460921 1.0686805 -13.3539079 0.5186805 2
+#> 5 1 -5.40 -3.30 1.0522216 0.6795299 -4.3477784 -2.6204701 2
+#> 6 1 -4.10 -2.55 1.2893080 0.7687677 -2.8106920 -1.7812323 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6760 -36750 7350
+#> initial value 998.131940
+#> iter 2 value 849.425263
+#> iter 3 value 845.682913
+#> iter 4 value 845.238072
+#> iter 5 value 792.528336
+#> iter 6 value 782.183668
+#> iter 7 value 780.592927
+#> iter 8 value 780.565435
+#> iter 9 value 780.565368
+#> iter 10 value 780.565327
+#> iter 11 value 780.565277
+#> iter 12 value 780.565257
+#> iter 12 value 780.565257
+#> iter 12 value 780.565257
+#> final value 780.565257
+#> converged
+#> This is Run number 391
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 1.1525636 0.18692029 0.6025636 -13.013080 1
+#> 2 1 -3.10 -5.40 1.0966209 0.13489647 -2.0033791 -5.265104 1
+#> 3 1 -14.60 -12.20 1.1558770 -1.12718710 -13.4441230 -13.327187 2
+#> 4 1 -14.20 -0.55 -0.5647706 3.29213805 -14.7647706 2.742138 2
+#> 5 1 -5.40 -3.30 1.8951711 -0.01545755 -3.5048289 -3.315458 2
+#> 6 1 -4.10 -2.55 -0.4961300 0.71161185 -4.5961300 -1.838388 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6800 -35500 6225
+#> initial value 998.131940
+#> iter 2 value 871.957676
+#> iter 3 value 870.651828
+#> iter 4 value 870.218846
+#> iter 5 value 815.616871
+#> iter 6 value 805.843147
+#> iter 7 value 803.985905
+#> iter 8 value 803.942829
+#> iter 9 value 803.942722
+#> iter 9 value 803.942720
+#> iter 9 value 803.942720
+#> final value 803.942720
+#> converged
+#> This is Run number 392
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.77607401 0.9134904 -2.326074 -12.2865096 1
+#> 2 1 -3.10 -5.40 0.05643062 1.6030656 -3.043569 -3.7969344 1
+#> 3 1 -14.60 -12.20 -0.93336345 1.6214816 -15.533363 -10.5785184 2
+#> 4 1 -14.20 -0.55 0.93513806 0.2221048 -13.264862 -0.3278952 2
+#> 5 1 -5.40 -3.30 1.50119954 -0.1111514 -3.898800 -3.4111514 2
+#> 6 1 -4.10 -2.55 0.70646955 4.3717692 -3.393530 1.8217692 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7000 -36475 6350
+#> initial value 998.131940
+#> iter 2 value 858.920639
+#> iter 3 value 856.506114
+#> iter 4 value 856.042396
+#> iter 5 value 804.042021
+#> iter 6 value 793.768601
+#> iter 7 value 791.967662
+#> iter 8 value 791.925713
+#> iter 9 value 791.925634
+#> iter 10 value 791.925602
+#> iter 11 value 791.925553
+#> iter 12 value 791.925513
+#> iter 12 value 791.925513
+#> iter 12 value 791.925513
+#> final value 791.925513
+#> converged
+#> This is Run number 393
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.4779866 0.2095971 -0.07201338 -12.990403 1
+#> 2 1 -3.10 -5.40 -1.1946745 -0.9929681 -4.29467448 -6.392968 1
+#> 3 1 -14.60 -12.20 2.7704088 -0.5104771 -11.82959117 -12.710477 1
+#> 4 1 -14.20 -0.55 1.6459159 -0.7470388 -12.55408405 -1.297039 2
+#> 5 1 -5.40 -3.30 3.1864978 3.1039150 -2.21350219 -0.196085 2
+#> 6 1 -4.10 -2.55 0.1068132 1.1973759 -3.99318675 -1.352624 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7580 -38650 5475
+#> initial value 998.131940
+#> iter 2 value 833.180233
+#> iter 3 value 829.082262
+#> iter 4 value 827.641781
+#> iter 5 value 783.853059
+#> iter 6 value 772.811777
+#> iter 7 value 770.945472
+#> iter 8 value 770.891289
+#> iter 9 value 770.891205
+#> iter 9 value 770.891197
+#> iter 9 value 770.891197
+#> final value 770.891197
+#> converged
+#> This is Run number 394
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.5032735 0.47128796 -1.053273 -12.72871204 1
+#> 2 1 -3.10 -5.40 1.5885672 4.21126681 -1.511433 -1.18873319 2
+#> 3 1 -14.60 -12.20 2.0099078 -0.84221577 -12.590092 -13.04221577 1
+#> 4 1 -14.20 -0.55 1.4191837 0.50368591 -12.780816 -0.04631409 2
+#> 5 1 -5.40 -3.30 -0.2454420 0.03204142 -5.645442 -3.26795858 2
+#> 6 1 -4.10 -2.55 -1.0393022 2.26193351 -5.139302 -0.28806649 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7180 -37925 4975
+#> initial value 998.131940
+#> iter 2 value 846.397776
+#> iter 3 value 842.131543
+#> iter 4 value 838.630315
+#> iter 5 value 794.026839
+#> iter 6 value 783.396314
+#> iter 7 value 781.228182
+#> iter 8 value 781.158327
+#> iter 9 value 781.158095
+#> iter 9 value 781.158091
+#> iter 9 value 781.158091
+#> final value 781.158091
+#> converged
+#> This is Run number 395
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -1.0495120 0.1425386 -1.599512 -13.057461 1
+#> 2 1 -3.10 -5.40 0.1347887 -0.1501871 -2.965211 -5.550187 1
+#> 3 1 -14.60 -12.20 0.6885262 0.7470109 -13.911474 -11.452989 2
+#> 4 1 -14.20 -0.55 -0.0289465 -0.9971809 -14.228947 -1.547181 2
+#> 5 1 -5.40 -3.30 -0.3519413 -1.1957222 -5.751941 -4.495722 2
+#> 6 1 -4.10 -2.55 1.1761328 0.1407550 -2.923867 -2.409245 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6360 -36300 6375
+#> initial value 998.131940
+#> iter 2 value 861.447568
+#> iter 3 value 857.708665
+#> iter 4 value 854.831919
+#> iter 5 value 802.870214
+#> iter 6 value 792.797613
+#> iter 7 value 791.030795
+#> iter 8 value 790.991400
+#> iter 9 value 790.991348
+#> iter 9 value 790.991344
+#> iter 9 value 790.991344
+#> final value 790.991344
+#> converged
+#> This is Run number 396
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 2.4755021 0.06237016 1.925502 -13.1376298 1
+#> 2 1 -3.10 -5.40 0.4286479 1.94993959 -2.671352 -3.4500604 1
+#> 3 1 -14.60 -12.20 2.3066034 0.45934110 -12.293397 -11.7406589 2
+#> 4 1 -14.20 -0.55 -0.5589899 0.28153782 -14.758990 -0.2684622 2
+#> 5 1 -5.40 -3.30 -0.7702897 3.72361751 -6.170290 0.4236175 2
+#> 6 1 -4.10 -2.55 -0.6747313 -1.08871004 -4.774731 -3.6387100 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6380 -34525 6850
+#> initial value 998.131940
+#> iter 2 value 880.032608
+#> iter 3 value 879.630250
+#> iter 4 value 879.258997
+#> iter 5 value 820.956237
+#> iter 6 value 811.624250
+#> iter 7 value 809.949813
+#> iter 8 value 809.917764
+#> iter 9 value 809.917699
+#> iter 10 value 809.917667
+#> iter 11 value 809.917618
+#> iter 12 value 809.917583
+#> iter 12 value 809.917583
+#> iter 12 value 809.917583
+#> final value 809.917583
+#> converged
+#> This is Run number 397
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 0.4127254 1.0696889 -0.1372746 -12.130311 1
+#> 2 1 -3.10 -5.40 1.0890676 0.1471700 -2.0109324 -5.252830 1
+#> 3 1 -14.60 -12.20 -0.9787259 -0.7755516 -15.5787259 -12.975552 2
+#> 4 1 -14.20 -0.55 3.0508137 -0.4815260 -11.1491863 -1.031526 2
+#> 5 1 -5.40 -3.30 0.3587291 1.0805386 -5.0412709 -2.219461 2
+#> 6 1 -4.10 -2.55 -0.7615710 -0.5749595 -4.8615710 -3.124960 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7500 -38725 6350
+#> initial value 998.131940
+#> iter 2 value 827.446438
+#> iter 3 value 822.558122
+#> iter 4 value 821.851939
+#> iter 5 value 776.924041
+#> iter 6 value 765.888685
+#> iter 7 value 764.279087
+#> iter 8 value 764.243281
+#> iter 9 value 764.243214
+#> iter 10 value 764.243163
+#> iter 11 value 764.243102
+#> iter 12 value 764.243084
+#> iter 12 value 764.243084
+#> iter 12 value 764.243084
+#> final value 764.243084
+#> converged
+#> This is Run number 398
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.19810697 0.7475267 -0.748107 -12.4524733 1
+#> 2 1 -3.10 -5.40 0.21940071 0.6292710 -2.880599 -4.7707290 1
+#> 3 1 -14.60 -12.20 -0.08426863 -0.5195433 -14.684269 -12.7195433 2
+#> 4 1 -14.20 -0.55 0.06867569 -0.1503295 -14.131324 -0.7003295 2
+#> 5 1 -5.40 -3.30 -0.98542122 0.3541618 -6.385421 -2.9458382 2
+#> 6 1 -4.10 -2.55 -0.04739789 0.1743626 -4.147398 -2.3756374 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7920 -36975 3625
+#> initial value 998.131940
+#> iter 2 value 863.770383
+#> iter 3 value 862.373377
+#> iter 4 value 861.466073
+#> iter 5 value 814.767267
+#> iter 6 value 805.272728
+#> iter 7 value 801.904964
+#> iter 8 value 801.782109
+#> iter 9 value 801.781256
+#> iter 10 value 801.781222
+#> iter 10 value 801.781219
+#> iter 11 value 801.781207
+#> iter 11 value 801.781203
+#> iter 11 value 801.781203
+#> final value 801.781203
+#> converged
+#> This is Run number 399
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.11338816 1.6303534 -0.6633882 -11.5696466 1
+#> 2 1 -3.10 -5.40 -1.48652526 0.2084949 -4.5865253 -5.1915051 1
+#> 3 1 -14.60 -12.20 -0.74340974 1.8836700 -15.3434097 -10.3163300 2
+#> 4 1 -14.20 -0.55 -1.53333449 1.4059529 -15.7333345 0.8559529 2
+#> 5 1 -5.40 -3.30 1.08601225 -0.9277652 -4.3139877 -4.2277652 2
+#> 6 1 -4.10 -2.55 0.08235672 -0.1059771 -4.0176433 -2.6559771 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 7740 -40300 5750
+#> initial value 998.131940
+#> iter 2 value 806.384143
+#> iter 3 value 799.953898
+#> iter 4 value 797.550839
+#> iter 5 value 759.127767
+#> iter 6 value 747.943856
+#> iter 7 value 746.422014
+#> iter 8 value 746.383027
+#> iter 9 value 746.382851
+#> iter 10 value 746.382800
+#> iter 11 value 746.382766
+#> iter 12 value 746.382747
+#> iter 12 value 746.382747
+#> iter 12 value 746.382747
+#> final value 746.382747
+#> converged
+#> This is Run number 400
+#> does sou_gis exist: FALSE
+#>
+#> dataset final_set exists: FALSE
+#>
+#> decisiongroups exists: TRUE
+#> 1 2
+#> 1007 433
+#>
+#> data has been created
+#>
+#> First few observations of the dataset
+#> ID Choice_situation Block alt1_x1 alt2_x1 alt1_x2 alt2_x2 alt1_x3 alt2_x3
+#> 1 1 1 1 80 20 25 200 100 50
+#> 2 1 2 1 60 40 50 100 50 100
+#> 3 1 3 1 60 20 200 200 0 100
+#> 4 1 4 1 20 80 200 25 0 100
+#> 5 1 5 1 40 80 100 50 100 50
+#> 6 1 6 1 60 80 50 25 0 0
+#> group V_1 V_2 e_1 e_2 U_1 U_2 CHOICE
+#> 1 1 -0.55 -13.20 -0.6484114 -0.3797587 -1.198411 -13.579759 1
+#> 2 1 -3.10 -5.40 1.3093953 -0.8788816 -1.790605 -6.278882 1
+#> 3 1 -14.60 -12.20 3.1085922 0.1224695 -11.491408 -12.077531 1
+#> 4 1 -14.20 -0.55 -0.1391515 -0.8204010 -14.339152 -1.370401 2
+#> 5 1 -5.40 -3.30 0.5530511 0.1906169 -4.846949 -3.109383 2
+#> 6 1 -4.10 -2.55 0.9200868 -0.5012580 -3.179913 -3.051258 2
+#>
+#>
+#> Initial function value: -998.1319
+#> Initial gradient value:
+#> bpreis blade bwarte
+#> 6860 -38450 6575
+#> initial value 998.131940
+#> iter 2 value 830.779526
+#> iter 3 value 824.427579
+#> iter 4 value 821.459793
+#> iter 5 value 775.913457
+#> iter 6 value 765.131017
+#> iter 7 value 763.536066
+#> iter 8 value 763.501323
+#> iter 9 value 763.501252
+#> iter 10 value 763.501202
+#> iter 11 value 763.501155
+#> iter 11 value 763.501150
+#> iter 11 value 763.501150
+#> final value 763.501150
+#> converged
+#>
+#>
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ====
+#> \ vars n mean sd median min max range skew kurtosis se
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ====
+#> est_bpreis 1 400 -0.01 0.00 -0.01 -0.01 0.00 0.01 -0.16 0.09 0.00
+#> est_blade 2 400 -0.01 0.00 -0.01 -0.02 -0.01 0.01 0.04 0.07 0.00
+#> est_bwarte 3 400 0.01 0.00 0.01 0.00 0.01 0.01 0.00 0.31 0.00
+#> rob_pval0_bpreis 4 400 0.11 0.17 0.04 0.00 0.99 0.99 2.71 8.17 0.01
+#> rob_pval0_blade 5 400 0.00 0.00 0.00 0.00 0.00 0.00 NaN NaN 0.00
+#> rob_pval0_bwarte 6 400 0.00 0.01 0.00 0.00 0.14 0.14 12.63 188.64 0.00
+#> ================ ==== === ===== ==== ====== ===== ===== ===== ===== ======== ====
+#>
+#> FALSE TRUE
+#> 47.25 52.75
+#> 1923.439 sec elapsed
#> $tic
-#> elapsed
-#> 10314.36
+#> elapsed
+#> 0.851
#>
#> $toc
-#> elapsed
-#> 10324.16
+#> elapsed
+#> 1924.29
#>
#> $msg
#> logical(0)
#>
#> $callback_msg
-#> [1] "9.804 sec elapsed"
+#> [1] "1923.439 sec elapsed"
+#> Trying tidyr::pivot_longer for reshaping...
```
<img src="man/figures/README-example-1.png" width="100%" /><img src="man/figures/README-example-2.png" width="100%" /><img src="man/figures/README-example-3.png" width="100%" />
diff --git a/man/figures/README-example-1.png b/man/figures/README-example-1.png
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diff --git a/tests/manual-tests/SE_Drive.R b/tests/manual-tests/SE_Drive.R
index bb51275..f9090e9 100644
--- a/tests/manual-tests/SE_Drive.R
+++ b/tests/manual-tests/SE_Drive.R
@@ -22,9 +22,9 @@ decisiongroups=c(0,0.7,1)
# pass beta coefficients as a list
bcoeff <- list(
- bpreis = -0.01,
- blade = -0.07,
- bwarte = 0.02)
+ b.preis = -0.01,
+ b.lade = -0.07,
+ b.warte = 0.02)
manipulations = list(alt1.x2= expr(alt1.x2/10),
alt1.x3= expr(alt1.x3/10),
@@ -37,13 +37,13 @@ manipulations = list(alt1.x2= expr(alt1.x2/10),
ul<-list( u1 =
list(
- v1 =V.1~ bpreis * alt1.x1 + blade*alt1.x2 + bwarte*alt1.x3 ,
- v2 =V.2~ bpreis * alt2.x1 + blade*alt2.x2 + bwarte*alt2.x3
+ v1 =V.1~ b.preis * alt1.x1 + b.lade*alt1.x2 + b.warte*alt1.x3 ,
+ v2 =V.2~ b.preis * alt2.x1 + b.lade*alt2.x2 + b.warte*alt2.x3
)
,
- u2 = list( v1 =V.1~ bpreis * alt1.x1 ,
- v2 =V.2~ bpreis * alt2.x1)
+ u2 = list( v1 =V.1~ b.preis * alt1.x1 ,
+ v2 =V.2~ b.preis * alt2.x1)
)
--
GitLab