* using log directory ‘/srv/hornik/tmp/CRAN_pretest/EvenBetterRegression.Rcheck’
* using R Under development (unstable) (2025-10-28 r88973)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    Debian clang version 19.1.7 (7)
    Debian flang-new version 19.1.7 (7)
* running under: Debian GNU/Linux forky/sid
* using session charset: UTF-8
* checking for file ‘EvenBetterRegression/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘EvenBetterRegression’ version ‘1.0’
* package encoding: UTF-8
* checking CRAN incoming feasibility ... [3s/3s] NOTE
Maintainer: ‘Peter Reiker <peter.reiker@slu.edu>’

New submission

Possibly misspelled words in DESCRIPTION:
  lm (14:46)

The Description field should not start with the package name,
  'This package' or similar.
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking serialization versions ... OK
* checking whether package ‘EvenBetterRegression’ can be installed ... [1s/1s] OK
* checking package directory ... OK
* checking for future file timestamps ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... [0s/0s] OK
* checking whether the package can be loaded with stated dependencies ... [0s/0s] OK
* checking whether the package can be unloaded cleanly ... [0s/0s] OK
* checking whether the namespace can be loaded with stated dependencies ... [0s/0s] OK
* checking whether the namespace can be unloaded cleanly ... [0s/0s] OK
* checking loading without being on the library search path ... [0s/0s] OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [2s/2s] OK
* checking Rd files ... [0s/0s] OK
* checking Rd metadata ... OK
* checking Rd line widths ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking examples ... [30m/30m] ERROR
Running examples in ‘EvenBetterRegression-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: Even_Better_Regression
> ### Title: Automatically Enhancing the Quality of Linear Regression
> ### Aliases: Even_Better_Regression Better_Regression mcmc_regression
> ### Keywords: file
> 
> ### ** Examples
> 
> ## A sample linear model.
> in_model = lm(mpg~., data = mtcars)
> ## Standard case:
> better_model = Even_Better_Regression(in_model)
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[1] 0.9888602
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[1] 0.9869165
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[1] 0.987834
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[1] 0.9881008
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[1] 0.9876164
[1] "Iteration 750 of 1000:"
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[1] 0.9877866
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[1] 0.9876522
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[1] 0.9891293
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[1] 0.9876547
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[1] 0.9879221
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[1] 0.9853704
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[1] 0.9854203
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[1] 0.9882193
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[1] 0.9877948
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[1] 0.9856165
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[1] 0.9893365
[1] "Iteration 768 of 1000:"
[1] 0.9857345
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[1] 0.9879913
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[1] 0.9874798
[1] "Iteration 777 of 1000:"
[1] 0.9881956
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[1] 0.9848953
[1] "Iteration 800 of 1000:"
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[1] 0.9876148
[1] "Iteration 802 of 1000:"
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[1] 0.9882897
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[1] "Iteration 810 of 1000:"
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[1] 0.989353
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[1] 0.9891026
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[1] 0.9893866
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[1] "Iteration 820 of 1000:"
[1] 0.987241
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[1] 0.9858792
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[1] 0.9877387
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[1] 0.9877454
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[1] 0.9852127
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[1] 0.9850949
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[1] 0.9856307
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[1] 0.988571
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[1] 0.9857976
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[1] 0.9857011
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[1] 0.9875951
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[1] 0.9854678
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[1] 0.986951
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[1] 0.9864059
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[1] 0.9870178
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[1] 0.9877372
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[1] 0.9882601
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[1] 0.9876999
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[1] 0.9881083
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[1] 0.9884501
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[1] 0.9883141
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[1] 0.9889365
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[1] 0.9850387
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[1] 0.9850956
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[1] 0.9870145
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[1] 0.98848
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[1] 0.9857951
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[1] 0.9853268
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[1] 0.9879822
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[1] 0.9879508
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[1] 0.9877087
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[1] "Iteration 888 of 1000:"
[1] 0.9856122
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[1] "Iteration 911 of 1000:"
[1] 0.9869253
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[1] 0.9871985
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[1] 0.9870025
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[1] 0.9864248
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[1] 0.9873286
[1] "Iteration 922 of 1000:"
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[1] "Iteration 924 of 1000:"
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[1] 0.9877007
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[1] 0.9882045
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[1] 0.987666
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[1] 0.9857175
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[1] 0.9888604
[1] "Iteration 950 of 1000:"
[1] 0.9846083
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[1] 0.9872014
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[1] 0.9886182
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[1] 0.9875399
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[1] 0.9867016
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[1] 0.9858059
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[1] 0.9846695
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[1] 0.9873486
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[1] 0.9878108
[1] "Iteration 963 of 1000:"
[1] 0.9857448
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[1] 0.9857116
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[1] 0.9875622
[1] "Iteration 966 of 1000:"
[1] 0.9879141
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[1] 0.9861117
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[1] 0.9861762
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[1] 0.9874227
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[1] 0.9878063
[1] "Iteration 971 of 1000:"
[1] 0.9872717
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[1] 0.9884414
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[1] 0.9867522
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[1] 0.9854457
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[1] 0.9857939
[1] "Iteration 976 of 1000:"
[1] 0.9884115
[1] "Iteration 977 of 1000:"
[1] 0.9851243
[1] "Iteration 978 of 1000:"
[1] 0.9866219
[1] "Iteration 979 of 1000:"
[1] 0.984438
[1] "Iteration 980 of 1000:"
[1] 0.9871019
[1] "Iteration 981 of 1000:"
[1] 0.9881786
[1] "Iteration 982 of 1000:"
[1] 0.9866028
[1] "Iteration 983 of 1000:"
[1] 0.9857299
[1] "Iteration 984 of 1000:"
[1] 0.9871578
[1] "Iteration 985 of 1000:"
[1] 0.9871355
[1] "Iteration 986 of 1000:"
[1] 0.9870385
[1] "Iteration 987 of 1000:"
[1] 0.9857962
[1] "Iteration 988 of 1000:"
[1] 0.9871902
[1] "Iteration 989 of 1000:"
[1] 0.986345
[1] "Iteration 990 of 1000:"
[1] 0.9868372
[1] "Iteration 991 of 1000:"
[1] 0.986152
[1] "Iteration 992 of 1000:"
[1] 0.9878406
[1] "Iteration 993 of 1000:"
[1] 0.9866359
[1] "Iteration 994 of 1000:"
[1] 0.9865835
[1] "Iteration 995 of 1000:"
[1] 0.9850648
[1] "Iteration 996 of 1000:"
[1] 0.9853011
[1] "Iteration 997 of 1000:"
[1] 0.9880739
[1] "Iteration 998 of 1000:"
[1] 0.9860868
[1] "Iteration 999 of 1000:"
[1] 0.9855756
[1] "Iteration 1000 of 1000:"
[1] 0.9870497
> ## Internal loop editing cases:
> better_model = Even_Better_Regression(in_model, top_level_iterations = 999)
[1] "Iteration 1 of 999:"
[1] 0.9859997
[1] "Iteration 2 of 999:"
[1] 0.9881881
[1] "Iteration 3 of 999:"
[1] 0.9855353
[1] "Iteration 4 of 999:"
[1] 0.9873979
[1] "Iteration 5 of 999:"
[1] 0.9868746
[1] "Iteration 6 of 999:"
[1] 0.9872698
[1] "Iteration 7 of 999:"
[1] 0.9873666
[1] "Iteration 8 of 999:"
[1] 0.9856884
[1] "Iteration 9 of 999:"
[1] 0.9877025
[1] "Iteration 10 of 999:"
[1] 0.9876045
[1] "Iteration 11 of 999:"
[1] 0.9878015
[1] "Iteration 12 of 999:"
[1] 0.9879988
[1] "Iteration 13 of 999:"
[1] 0.9873485
[1] "Iteration 14 of 999:"
[1] 0.9870841
[1] "Iteration 15 of 999:"
[1] 0.9886659
[1] "Iteration 16 of 999:"
[1] 0.9872235
[1] "Iteration 17 of 999:"
[1] 0.9851313
[1] "Iteration 18 of 999:"
[1] 0.9879018
[1] "Iteration 19 of 999:"
[1] 0.985012
[1] "Iteration 20 of 999:"
[1] 0.9844715
[1] "Iteration 21 of 999:"
[1] 0.9854314
[1] "Iteration 22 of 999:"
[1] 0.9864298
[1] "Iteration 23 of 999:"
[1] 0.9874473
[1] "Iteration 24 of 999:"
[1] 0.9855656
[1] "Iteration 25 of 999:"
[1] 0.984814
[1] "Iteration 26 of 999:"
[1] 0.9877429
[1] "Iteration 27 of 999:"
[1] 0.9896345
[1] "Iteration 28 of 999:"
[1] 0.985774
[1] "Iteration 29 of 999:"
[1] 0.9873914
[1] "Iteration 30 of 999:"
[1] 0.9856887
[1] "Iteration 31 of 999:"
[1] 0.9878543
[1] "Iteration 32 of 999:"
[1] 0.9875775
[1] "Iteration 33 of 999:"
[1] 0.9875376
[1] "Iteration 34 of 999:"
[1] 0.9874802
[1] "Iteration 35 of 999:"
[1] 0.9883622
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[1] 0.9852401
[1] "Iteration 37 of 999:"
[1] 0.9847031
[1] "Iteration 38 of 999:"
[1] 0.9873317
[1] "Iteration 39 of 999:"
[1] 0.9859169
[1] "Iteration 40 of 999:"
[1] 0.9857628
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[1] 0.9852429
[1] "Iteration 42 of 999:"
[1] 0.9873067
[1] "Iteration 43 of 999:"
[1] 0.9880255
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[1] "Iteration 775 of 999:"
[1] 0.9858908
[1] "Iteration 776 of 999:"
[1] 0.9867622
[1] "Iteration 777 of 999:"
[1] 0.9881007
[1] "Iteration 778 of 999:"
[1] 0.985813
[1] "Iteration 779 of 999:"
[1] 0.9862083
[1] "Iteration 780 of 999:"
[1] 0.9861224
[1] "Iteration 781 of 999:"
[1] 0.9877276
[1] "Iteration 782 of 999:"
[1] 0.989216
[1] "Iteration 783 of 999:"
[1] 0.9879117
[1] "Iteration 784 of 999:"
[1] 0.9858623
[1] "Iteration 785 of 999:"
[1] 0.9856808
[1] "Iteration 786 of 999:"
[1] 0.9860045
[1] "Iteration 787 of 999:"
[1] 0.9859536
[1] "Iteration 788 of 999:"
[1] 0.9869103
[1] "Iteration 789 of 999:"
[1] 0.9875404
[1] "Iteration 790 of 999:"
[1] 0.9875941
[1] "Iteration 791 of 999:"
[1] 0.9876047
[1] "Iteration 792 of 999:"
[1] 0.9866207
[1] "Iteration 793 of 999:"
[1] 0.9872144
[1] "Iteration 794 of 999:"
[1] 0.9874534
[1] "Iteration 795 of 999:"
[1] 0.9878816
[1] "Iteration 796 of 999:"
[1] 0.9876509
[1] "Iteration 797 of 999:"
[1] 0.9853059
[1] "Iteration 798 of 999:"
[1] 0.9873774
[1] "Iteration 799 of 999:"
[1] 0.9861324
[1] "Iteration 800 of 999:"
[1] 0.9866769
[1] "Iteration 801 of 999:"
[1] 0.9874593
[1] "Iteration 802 of 999:"
[1] 0.9853376
[1] "Iteration 803 of 999:"
[1] 0.9886909
[1] "Iteration 804 of 999:"
[1] 0.9879971
[1] "Iteration 805 of 999:"
[1] 0.9859126
[1] "Iteration 806 of 999:"
[1] 0.9883329
[1] "Iteration 807 of 999:"
[1] 0.9861352
[1] "Iteration 808 of 999:"
[1] 0.984944
[1] "Iteration 809 of 999:"
[1] 0.988457
[1] "Iteration 810 of 999:"
[1] 0.9876026
[1] "Iteration 811 of 999:"
[1] 0.9885236
[1] "Iteration 812 of 999:"
[1] 0.9878143
[1] "Iteration 813 of 999:"
[1] 0.9874576
[1] "Iteration 814 of 999:"
[1] 0.9871928
[1] "Iteration 815 of 999:"
[1] 0.9873565
[1] "Iteration 816 of 999:"
[1] 0.9873494
[1] "Iteration 817 of 999:"
[1] 0.9864381
[1] "Iteration 818 of 999:"
[1] 0.9854605
[1] "Iteration 819 of 999:"
[1] 0.9869097
[1] "Iteration 820 of 999:"
[1] 0.9853033
[1] "Iteration 821 of 999:"
[1] 0.9874555
[1] "Iteration 822 of 999:"
[1] 0.9868728
[1] "Iteration 823 of 999:"
[1] 0.9861434
[1] "Iteration 824 of 999:"
[1] 0.9864651
[1] "Iteration 825 of 999:"
[1] 0.9883412
[1] "Iteration 826 of 999:"
[1] 0.9863434
[1] "Iteration 827 of 999:"
[1] 0.9841141
[1] "Iteration 828 of 999:"
[1] 0.9882059
[1] "Iteration 829 of 999:"
[1] 0.9858615
[1] "Iteration 830 of 999:"
[1] 0.9883425
[1] "Iteration 831 of 999:"
[1] 0.9874802
[1] "Iteration 832 of 999:"
[1] 0.9855257
[1] "Iteration 833 of 999:"
[1] 0.9881382
[1] "Iteration 834 of 999:"
[1] 0.9866787
[1] "Iteration 835 of 999:"
[1] 0.987792
[1] "Iteration 836 of 999:"
[1] 0.9871787
[1] "Iteration 837 of 999:"
[1] 0.9870309
[1] "Iteration 838 of 999:"
[1] 0.9844077
[1] "Iteration 839 of 999:"
[1] 0.9883141
[1] "Iteration 840 of 999:"
[1] 0.9865075
[1] "Iteration 841 of 999:"
[1] 0.9878073
[1] "Iteration 842 of 999:"
[1] 0.9866046
[1] "Iteration 843 of 999:"
[1] 0.9870929
[1] "Iteration 844 of 999:"
[1] 0.986258
[1] "Iteration 845 of 999:"
[1] 0.9865281
[1] "Iteration 846 of 999:"
[1] 0.9887312
[1] "Iteration 847 of 999:"
[1] 0.9848358
[1] "Iteration 848 of 999:"
[1] 0.9882588
[1] "Iteration 849 of 999:"
[1] 0.9851228
[1] "Iteration 850 of 999:"
[1] 0.9882356
[1] "Iteration 851 of 999:"
[1] 0.9875055
[1] "Iteration 852 of 999:"
[1] 0.9875813
[1] "Iteration 853 of 999:"
[1] 0.9879754
[1] "Iteration 854 of 999:"
[1] 0.9852891
[1] "Iteration 855 of 999:"
[1] 0.9871852
[1] "Iteration 856 of 999:"
[1] 0.9863045
[1] "Iteration 857 of 999:"
[1] 0.9880067
[1] "Iteration 858 of 999:"
[1] 0.9885875
[1] "Iteration 859 of 999:"
[1] 0.9879773
[1] "Iteration 860 of 999:"
[1] 0.9893638
[1] "Iteration 861 of 999:"
[1] 0.9884072
[1] "Iteration 862 of 999:"
[1] 0.9869478
[1] "Iteration 863 of 999:"
[1] 0.9854753
[1] "Iteration 864 of 999:"
[1] 0.9862761
[1] "Iteration 865 of 999:"
[1] 0.9888801
[1] "Iteration 866 of 999:"
[1] 0.987076
[1] "Iteration 867 of 999:"
[1] 0.9879784
[1] "Iteration 868 of 999:"
[1] 0.9858641
[1] "Iteration 869 of 999:"
[1] 0.9863134
[1] "Iteration 870 of 999:"
[1] 0.9876977
[1] "Iteration 871 of 999:"
[1] 0.9859367
[1] "Iteration 872 of 999:"
[1] 0.9863647
[1] "Iteration 873 of 999:"
[1] 0.9865816
[1] "Iteration 874 of 999:"
[1] 0.9851518
[1] "Iteration 875 of 999:"
[1] 0.9878874
[1] "Iteration 876 of 999:"
[1] 0.9877935
[1] "Iteration 877 of 999:"
[1] 0.9852327
[1] "Iteration 878 of 999:"
[1] 0.9854478
[1] "Iteration 879 of 999:"
[1] 0.9869148
[1] "Iteration 880 of 999:"
[1] 0.9870752
[1] "Iteration 881 of 999:"
[1] 0.9854932
[1] "Iteration 882 of 999:"
[1] 0.9881358
[1] "Iteration 883 of 999:"
[1] 0.9869027
[1] "Iteration 884 of 999:"
[1] 0.9873775
[1] "Iteration 885 of 999:"
[1] 0.9866376
[1] "Iteration 886 of 999:"
[1] 0.9873092
[1] "Iteration 887 of 999:"
[1] 0.9855415
[1] "Iteration 888 of 999:"
[1] 0.9861607
[1] "Iteration 889 of 999:"
[1] 0.9871526
[1] "Iteration 890 of 999:"
[1] 0.9856862
[1] "Iteration 891 of 999:"
[1] 0.9848145
[1] "Iteration 892 of 999:"
[1] 0.9857976
[1] "Iteration 893 of 999:"
[1] 0.9874136
[1] "Iteration 894 of 999:"
[1] 0.9873846
[1] "Iteration 895 of 999:"
[1] 0.9849311
[1] "Iteration 896 of 999:"
[1] 0.9864503
[1] "Iteration 897 of 999:"
[1] 0.9863684
[1] "Iteration 898 of 999:"
[1] 0.9854459
[1] "Iteration 899 of 999:"
[1] 0.9855958
[1] "Iteration 900 of 999:"
[1] 0.9883879
[1] "Iteration 901 of 999:"
[1] 0.9874644
[1] "Iteration 902 of 999:"
[1] 0.9852093
[1] "Iteration 903 of 999:"
[1] 0.986151
[1] "Iteration 904 of 999:"
[1] 0.9856991
[1] "Iteration 905 of 999:"
[1] 0.9885378
[1] "Iteration 906 of 999:"
[1] 0.9884806
[1] "Iteration 907 of 999:"
[1] 0.9877909
[1] "Iteration 908 of 999:"
[1] 0.9873246
[1] "Iteration 909 of 999:"
[1] 0.9859757
[1] "Iteration 910 of 999:"
[1] 0.9882964
[1] "Iteration 911 of 999:"
[1] 0.9851565
[1] "Iteration 912 of 999:"
[1] 0.987488
[1] "Iteration 913 of 999:"
[1] 0.9887597
[1] "Iteration 914 of 999:"
[1] 0.9853461
[1] "Iteration 915 of 999:"
[1] 0.9852704
[1] "Iteration 916 of 999:"
[1] 0.9831665
[1] "Iteration 917 of 999:"
[1] 0.9859019
[1] "Iteration 918 of 999:"
[1] 0.9858397
[1] "Iteration 919 of 999:"
[1] 0.9860402
[1] "Iteration 920 of 999:"
[1] 0.9875613
[1] "Iteration 921 of 999:"
[1] 0.9851645
[1] "Iteration 922 of 999:"
[1] 0.9883514
[1] "Iteration 923 of 999:"
[1] 0.9875755
[1] "Iteration 924 of 999:"
[1] 0.9860341
[1] "Iteration 925 of 999:"
[1] 0.9876052
[1] "Iteration 926 of 999:"
[1] 0.9879824
[1] "Iteration 927 of 999:"
[1] 0.9876356
[1] "Iteration 928 of 999:"
[1] 0.9867365
[1] "Iteration 929 of 999:"
[1] 0.9873494
[1] "Iteration 930 of 999:"
[1] 0.98754
[1] "Iteration 931 of 999:"
[1] 0.986221
[1] "Iteration 932 of 999:"
[1] 0.9862352
[1] "Iteration 933 of 999:"
[1] 0.9884384
[1] "Iteration 934 of 999:"
[1] 0.9871023
[1] "Iteration 935 of 999:"
[1] 0.9855542
[1] "Iteration 936 of 999:"
[1] 0.9863425
[1] "Iteration 937 of 999:"
[1] 0.9848238
[1] "Iteration 938 of 999:"
[1] 0.987153
[1] "Iteration 939 of 999:"
[1] 0.9876317
[1] "Iteration 940 of 999:"
[1] 0.9855613
[1] "Iteration 941 of 999:"
[1] 0.9882431
[1] "Iteration 942 of 999:"
[1] 0.9879037
[1] "Iteration 943 of 999:"
[1] 0.9854085
[1] "Iteration 944 of 999:"
[1] 0.9858138
[1] "Iteration 945 of 999:"
[1] 0.9884713
[1] "Iteration 946 of 999:"
[1] 0.9862578
[1] "Iteration 947 of 999:"
[1] 0.987039
[1] "Iteration 948 of 999:"
[1] 0.9883136
[1] "Iteration 949 of 999:"
[1] 0.9856796
[1] "Iteration 950 of 999:"
[1] 0.985558
[1] "Iteration 951 of 999:"
[1] 0.9846643
[1] "Iteration 952 of 999:"
[1] 0.9873695
[1] "Iteration 953 of 999:"
[1] 0.9858186
[1] "Iteration 954 of 999:"
[1] 0.9872546
[1] "Iteration 955 of 999:"
[1] 0.9871436
[1] "Iteration 956 of 999:"
[1] 0.9866199
[1] "Iteration 957 of 999:"
[1] 0.9850956
[1] "Iteration 958 of 999:"
[1] 0.9851185
[1] "Iteration 959 of 999:"
[1] 0.9858722
[1] "Iteration 960 of 999:"
[1] 0.9875083
[1] "Iteration 961 of 999:"
[1] 0.9850902
[1] "Iteration 962 of 999:"
[1] 0.9886589
[1] "Iteration 963 of 999:"
[1] 0.9868235
[1] "Iteration 964 of 999:"
[1] 0.988413
[1] "Iteration 965 of 999:"
[1] 0.9885565
[1] "Iteration 966 of 999:"
[1] 0.9856731
[1] "Iteration 967 of 999:"
[1] 0.9862057
[1] "Iteration 968 of 999:"
[1] 0.9852665
[1] "Iteration 969 of 999:"
[1] 0.9855774
[1] "Iteration 970 of 999:"
[1] 0.9866683
[1] "Iteration 971 of 999:"
[1] 0.9850376
[1] "Iteration 972 of 999:"
[1] 0.9877462
[1] "Iteration 973 of 999:"
[1] 0.986615
[1] "Iteration 974 of 999:"
[1] 0.9863277
[1] "Iteration 975 of 999:"
[1] 0.9851023
[1] "Iteration 976 of 999:"
[1] 0.9863112
[1] "Iteration 977 of 999:"
[1] 0.9873631
[1] "Iteration 978 of 999:"
[1] 0.9873068
[1] "Iteration 979 of 999:"
[1] 0.9895467
[1] "Iteration 980 of 999:"
[1] 0.9885984
[1] "Iteration 981 of 999:"
[1] 0.9855873
[1] "Iteration 982 of 999:"
[1] 0.9864754
[1] "Iteration 983 of 999:"
[1] 0.9847975
[1] "Iteration 984 of 999:"
[1] 0.9882585
[1] "Iteration 985 of 999:"
[1] 0.9892117
[1] "Iteration 986 of 999:"
[1] 0.9889239
[1] "Iteration 987 of 999:"
[1] 0.9866953
[1] "Iteration 988 of 999:"
[1] 0.9858825
[1] "Iteration 989 of 999:"
[1] 0.9894347
[1] "Iteration 990 of 999:"
[1] 0.9875346
[1] "Iteration 991 of 999:"
[1] 0.9858154
[1] "Iteration 992 of 999:"
[1] 0.9874793
[1] "Iteration 993 of 999:"
[1] 0.9888803
[1] "Iteration 994 of 999:"
[1] 0.985944
[1] "Iteration 995 of 999:"
[1] 0.9873494
[1] "Iteration 996 of 999:"
[1] 0.9860529
[1] "Iteration 997 of 999:"
[1] 0.9855735
[1] "Iteration 998 of 999:"
[1] 0.9868257
[1] "Iteration 999 of 999:"
[1] 0.9874848
> better_model = Even_Better_Regression(in_model, intermediate_level_iterations = 101)
[1] "Iteration 1 of 1000:"
[1] 0.9853173
[1] "Iteration 2 of 1000:"
[1] 0.9876545
[1] "Iteration 3 of 1000:"
[1] 0.9872017
[1] "Iteration 4 of 1000:"
[1] 0.9851337
[1] "Iteration 5 of 1000:"
[1] 0.9868263
[1] "Iteration 6 of 1000:"
[1] 0.9872526
[1] "Iteration 7 of 1000:"
[1] 0.9854284
[1] "Iteration 8 of 1000:"
[1] 0.9869223
[1] "Iteration 9 of 1000:"
[1] 0.9847505
[1] "Iteration 10 of 1000:"
[1] 0.9876296
[1] "Iteration 11 of 1000:"
[1] 0.9848942
[1] "Iteration 12 of 1000:"
[1] 0.9872605
[1] "Iteration 13 of 1000:"
[1] 0.9855004
[1] "Iteration 14 of 1000:"
[1] 0.9834925
[1] "Iteration 15 of 1000:"
[1] 0.9882521
[1] "Iteration 16 of 1000:"
[1] 0.9862064
[1] "Iteration 17 of 1000:"
[1] 0.9877252
[1] "Iteration 18 of 1000:"
[1] 0.9874804
[1] "Iteration 19 of 1000:"
[1] 0.9883985
[1] "Iteration 20 of 1000:"
[1] 0.9879988
[1] "Iteration 21 of 1000:"
[1] 0.9854997
[1] "Iteration 22 of 1000:"
[1] 0.9874977
[1] "Iteration 23 of 1000:"
[1] 0.9878367
[1] "Iteration 24 of 1000:"
[1] 0.9871237
[1] "Iteration 25 of 1000:"
[1] 0.9876289
[1] "Iteration 26 of 1000:"
[1] 0.985855
[1] "Iteration 27 of 1000:"
[1] 0.98828
[1] "Iteration 28 of 1000:"
[1] 0.9848139
[1] "Iteration 29 of 1000:"
[1] 0.9883459
[1] "Iteration 30 of 1000:"
[1] 0.9855297
[1] "Iteration 31 of 1000:"
[1] 0.9882654
[1] "Iteration 32 of 1000:"
[1] 0.9850791
[1] "Iteration 33 of 1000:"
[1] 0.9866039
[1] "Iteration 34 of 1000:"
[1] 0.9854721
[1] "Iteration 35 of 1000:"
[1] 0.9853931
[1] "Iteration 36 of 1000:"
[1] 0.9837632
[1] "Iteration 37 of 1000:"
[1] 0.9884312
[1] "Iteration 38 of 1000:"
[1] 0.9853695
[1] "Iteration 39 of 1000:"
[1] 0.9865877
[1] "Iteration 40 of 1000:"
[1] 0.9876584
[1] "Iteration 41 of 1000:"
[1] 0.9884414
[1] "Iteration 42 of 1000:"
[1] 0.9852727
[1] "Iteration 43 of 1000:"
[1] 0.9885966
[1] "Iteration 44 of 1000:"
[1] 0.9856801
[1] "Iteration 45 of 1000:"
[1] 0.986302
[1] "Iteration 46 of 1000:"
[1] 0.9856308
[1] "Iteration 47 of 1000:"
[1] 0.9859274
[1] "Iteration 48 of 1000:"
[1] 0.9875356
[1] "Iteration 49 of 1000:"
[1] 0.9871553
[1] "Iteration 50 of 1000:"
[1] 0.9861861
[1] "Iteration 51 of 1000:"
[1] 0.9872817
[1] "Iteration 52 of 1000:"
[1] 0.9856867
[1] "Iteration 53 of 1000:"
[1] 0.9868503
[1] "Iteration 54 of 1000:"
[1] 0.9868238
[1] "Iteration 55 of 1000:"
[1] 0.9851855
[1] "Iteration 56 of 1000:"
[1] 0.9852748
[1] "Iteration 57 of 1000:"
[1] 0.9879436
[1] "Iteration 58 of 1000:"
[1] 0.9876274
[1] "Iteration 59 of 1000:"
[1] 0.9866973
[1] "Iteration 60 of 1000:"
[1] 0.9872368
[1] "Iteration 61 of 1000:"
[1] 0.9855641
[1] "Iteration 62 of 1000:"
[1] 0.9850269
[1] "Iteration 63 of 1000:"
[1] 0.9867756
[1] "Iteration 64 of 1000:"
[1] 0.9871277
[1] "Iteration 65 of 1000:"
[1] 0.9841635
[1] "Iteration 66 of 1000:"
[1] 0.9876072
[1] "Iteration 67 of 1000:"
[1] 0.9883355
[1] "Iteration 68 of 1000:"
[1] 0.9867484
[1] "Iteration 69 of 1000:"
[1] 0.9864532
[1] "Iteration 70 of 1000:"
[1] 0.9861372
[1] "Iteration 71 of 1000:"
[1] 0.9858801
[1] "Iteration 72 of 1000:"
[1] 0.9853338
[1] "Iteration 73 of 1000:"
[1] 0.9873494
[1] "Iteration 74 of 1000:"
[1] 0.9857483
[1] "Iteration 75 of 1000:"
[1] 0.9868949
[1] "Iteration 76 of 1000:"
[1] 0.9853539
[1] "Iteration 77 of 1000:"
[1] 0.9862369
[1] "Iteration 78 of 1000:"
[1] 0.98705
[1] "Iteration 79 of 1000:"
[1] 0.9884192
[1] "Iteration 80 of 1000:"
[1] 0.9878356
[1] "Iteration 81 of 1000:"
[1] 0.9877366
[1] "Iteration 82 of 1000:"
[1] 0.9883633
[1] "Iteration 83 of 1000:"
[1] 0.9854721
[1] "Iteration 84 of 1000:"
[1] 0.9852737
[1] "Iteration 85 of 1000:"
[1] 0.9872401
[1] "Iteration 86 of 1000:"
[1] 0.9849951
[1] "Iteration 87 of 1000:"
[1] 0.9882956
[1] "Iteration 88 of 1000:"
[1] 0.9853621
[1] "Iteration 89 of 1000:"
[1] 0.9882087
[1] "Iteration 90 of 1000:"
[1] 0.9863702
[1] "Iteration 91 of 1000:"
[1] 0.9863625
[1] "Iteration 92 of 1000:"
[1] 0.9859297
[1] "Iteration 93 of 1000:"
[1] 0.9877854
[1] "Iteration 94 of 1000:"
[1] 0.9845669
[1] "Iteration 95 of 1000:"
[1] 0.9879862
[1] "Iteration 96 of 1000:"
[1] 0.9876043
[1] "Iteration 97 of 1000:"
[1] 0.986088
[1] "Iteration 98 of 1000:"
[1] 0.9865116
[1] "Iteration 99 of 1000:"
[1] 0.9854461
[1] "Iteration 100 of 1000:"
[1] 0.9845973
[1] "Iteration 101 of 1000:"
[1] 0.9873255
[1] "Iteration 102 of 1000:"
[1] 0.9878505
[1] "Iteration 103 of 1000:"
[1] 0.9859254
[1] "Iteration 104 of 1000:"
[1] 0.9856297
[1] "Iteration 105 of 1000:"
[1] 0.9887378
[1] "Iteration 106 of 1000:"
[1] 0.9877351
[1] "Iteration 107 of 1000:"
[1] 0.9866605
[1] "Iteration 108 of 1000:"
[1] 0.9867273
[1] "Iteration 109 of 1000:"
[1] 0.9854707
[1] "Iteration 110 of 1000:"
[1] 0.985316
[1] "Iteration 111 of 1000:"
[1] 0.987922
[1] "Iteration 112 of 1000:"
[1] 0.9861509
[1] "Iteration 113 of 1000:"
[1] 0.9853415
[1] "Iteration 114 of 1000:"
[1] 0.9876757
[1] "Iteration 115 of 1000:"
[1] 0.9883494
[1] "Iteration 116 of 1000:"
[1] 0.9855337
[1] "Iteration 117 of 1000:"
[1] 0.9864896
[1] "Iteration 118 of 1000:"
[1] 0.9886497
[1] "Iteration 119 of 1000:"
[1] 0.9875426
[1] "Iteration 120 of 1000:"
[1] 0.9879484
[1] "Iteration 121 of 1000:"
[1] 0.9855481
[1] "Iteration 122 of 1000:"
[1] 0.9867019
[1] "Iteration 123 of 1000:"
[1] 0.9881394
[1] "Iteration 124 of 1000:"
[1] 0.985119
[1] "Iteration 125 of 1000:"
[1] 0.9867218
[1] "Iteration 126 of 1000:"
[1] 0.9856547
[1] "Iteration 127 of 1000:"
[1] 0.9878636
[1] "Iteration 128 of 1000:"
[1] 0.9881364
[1] "Iteration 129 of 1000:"
[1] 0.9887945
[1] "Iteration 130 of 1000:"
[1] 0.9864124
[1] "Iteration 131 of 1000:"
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[1] 0.9863435
[1] "Iteration 859 of 1000:"
[1] 0.9882029
[1] "Iteration 860 of 1000:"
[1] 0.9874835
[1] "Iteration 861 of 1000:"
[1] 0.9853538
[1] "Iteration 862 of 1000:"
[1] 0.9863947
[1] "Iteration 863 of 1000:"
[1] 0.9877615
[1] "Iteration 864 of 1000:"
[1] 0.9853129
[1] "Iteration 865 of 1000:"
[1] 0.9874617
[1] "Iteration 866 of 1000:"
[1] 0.986896
[1] "Iteration 867 of 1000:"
[1] 0.9882779
[1] "Iteration 868 of 1000:"
[1] 0.9850162
[1] "Iteration 869 of 1000:"
[1] 0.9876059
[1] "Iteration 870 of 1000:"
[1] 0.9846567
[1] "Iteration 871 of 1000:"
[1] 0.9848381
[1] "Iteration 872 of 1000:"
[1] 0.9876564
[1] "Iteration 873 of 1000:"
[1] 0.9862265
[1] "Iteration 874 of 1000:"
[1] 0.9865475
[1] "Iteration 875 of 1000:"
[1] 0.985591
[1] "Iteration 876 of 1000:"
[1] 0.9880903
[1] "Iteration 877 of 1000:"
[1] 0.9888596
[1] "Iteration 878 of 1000:"
[1] 0.9859305
[1] "Iteration 879 of 1000:"
[1] 0.988644
[1] "Iteration 880 of 1000:"
[1] 0.9872302
[1] "Iteration 881 of 1000:"
[1] 0.9883095
[1] "Iteration 882 of 1000:"
[1] 0.9867615
[1] "Iteration 883 of 1000:"
[1] 0.9878597
[1] "Iteration 884 of 1000:"
[1] 0.9888963
[1] "Iteration 885 of 1000:"
[1] 0.9869518
[1] "Iteration 886 of 1000:"
[1] 0.9849071
[1] "Iteration 887 of 1000:"
[1] 0.985571
[1] "Iteration 888 of 1000:"
[1] 0.9874632
[1] "Iteration 889 of 1000:"
[1] 0.9868405
[1] "Iteration 890 of 1000:"
[1] 0.9875223
[1] "Iteration 891 of 1000:"
[1] 0.9864059
[1] "Iteration 892 of 1000:"
[1] 0.985453
[1] "Iteration 893 of 1000:"
[1] 0.9864846
[1] "Iteration 894 of 1000:"
[1] 0.9881411
[1] "Iteration 895 of 1000:"
[1] 0.9858748
[1] "Iteration 896 of 1000:"
[1] 0.9859863
[1] "Iteration 897 of 1000:"
[1] 0.9877998
[1] "Iteration 898 of 1000:"
[1] 0.9875999
[1] "Iteration 899 of 1000:"
[1] 0.987344
[1] "Iteration 900 of 1000:"
[1] 0.9856106
[1] "Iteration 901 of 1000:"
[1] 0.9871178
[1] "Iteration 902 of 1000:"
[1] 0.9844858
[1] "Iteration 903 of 1000:"
[1] 0.9853407
[1] "Iteration 904 of 1000:"
[1] 0.9881164
[1] "Iteration 905 of 1000:"
[1] 0.9869009
[1] "Iteration 906 of 1000:"
[1] 0.9858887
[1] "Iteration 907 of 1000:"
[1] 0.9879098
[1] "Iteration 908 of 1000:"
[1] 0.9863696
[1] "Iteration 909 of 1000:"
[1] 0.9855973
[1] "Iteration 910 of 1000:"
[1] 0.9861479
[1] "Iteration 911 of 1000:"
[1] 0.9869622
[1] "Iteration 912 of 1000:"
[1] 0.9872478
[1] "Iteration 913 of 1000:"
[1] 0.9885867
[1] "Iteration 914 of 1000:"
[1] 0.9878645
[1] "Iteration 915 of 1000:"
[1] 0.98805
[1] "Iteration 916 of 1000:"
[1] 0.9880208
[1] "Iteration 917 of 1000:"
[1] 0.9880906
[1] "Iteration 918 of 1000:"
[1] 0.9875801
[1] "Iteration 919 of 1000:"
[1] 0.9855352
[1] "Iteration 920 of 1000:"
[1] 0.9864669
[1] "Iteration 921 of 1000:"
[1] 0.9880714
[1] "Iteration 922 of 1000:"
[1] 0.9848221
[1] "Iteration 923 of 1000:"
[1] 0.9857557
[1] "Iteration 924 of 1000:"
[1] 0.9861803
[1] "Iteration 925 of 1000:"
[1] 0.9859921
[1] "Iteration 926 of 1000:"
[1] 0.9860713
[1] "Iteration 927 of 1000:"
[1] 0.9876717
[1] "Iteration 928 of 1000:"
[1] 0.9865173
[1] "Iteration 929 of 1000:"
[1] 0.9890259
[1] "Iteration 930 of 1000:"
[1] 0.9861323
[1] "Iteration 931 of 1000:"
[1] 0.9859885
[1] "Iteration 932 of 1000:"
[1] 0.987927
[1] "Iteration 933 of 1000:"
[1] 0.985292
[1] "Iteration 934 of 1000:"
[1] 0.988379
[1] "Iteration 935 of 1000:"
[1] 0.9877472
[1] "Iteration 936 of 1000:"
[1] 0.986057
[1] "Iteration 937 of 1000:"
[1] 0.9889446
[1] "Iteration 938 of 1000:"
[1] 0.9877559
[1] "Iteration 939 of 1000:"
[1] 0.985143
[1] "Iteration 940 of 1000:"
[1] 0.9844077
[1] "Iteration 941 of 1000:"
[1] 0.9827948
[1] "Iteration 942 of 1000:"
[1] 0.9878315
[1] "Iteration 943 of 1000:"
[1] 0.9876049
[1] "Iteration 944 of 1000:"
[1] 0.9878735
[1] "Iteration 945 of 1000:"
[1] 0.9847001
[1] "Iteration 946 of 1000:"
[1] 0.9849109
[1] "Iteration 947 of 1000:"
[1] 0.9874136
[1] "Iteration 948 of 1000:"
[1] 0.9869993
[1] "Iteration 949 of 1000:"
[1] 0.987376
[1] "Iteration 950 of 1000:"
[1] 0.9871699
[1] "Iteration 951 of 1000:"
[1] 0.9878022
[1] "Iteration 952 of 1000:"
[1] 0.9860476
[1] "Iteration 953 of 1000:"
[1] 0.9868233
[1] "Iteration 954 of 1000:"
[1] 0.988105
[1] "Iteration 955 of 1000:"
[1] 0.9869459
[1] "Iteration 956 of 1000:"
[1] 0.9871528
[1] "Iteration 957 of 1000:"
[1] 0.9852726
[1] "Iteration 958 of 1000:"
[1] 0.9861647
[1] "Iteration 959 of 1000:"
[1] 0.9868065
[1] "Iteration 960 of 1000:"
[1] 0.985538
[1] "Iteration 961 of 1000:"
[1] 0.9875914
[1] "Iteration 962 of 1000:"
[1] 0.9853685
[1] "Iteration 963 of 1000:"
[1] 0.9845213
[1] "Iteration 964 of 1000:"
[1] 0.9849048
[1] "Iteration 965 of 1000:"
[1] 0.9852665
[1] "Iteration 966 of 1000:"
[1] 0.9883104
[1] "Iteration 967 of 1000:"
[1] 0.9870099
[1] "Iteration 968 of 1000:"
[1] 0.988239
[1] "Iteration 969 of 1000:"
[1] 0.9855074
[1] "Iteration 970 of 1000:"
[1] 0.9887161
[1] "Iteration 971 of 1000:"
[1] 0.9858105
[1] "Iteration 972 of 1000:"
[1] 0.9873417
[1] "Iteration 973 of 1000:"
[1] 0.9881776
[1] "Iteration 974 of 1000:"
[1] 0.9881054
[1] "Iteration 975 of 1000:"
[1] 0.9881321
[1] "Iteration 976 of 1000:"
[1] 0.9872275
[1] "Iteration 977 of 1000:"
[1] 0.9881112
[1] "Iteration 978 of 1000:"
[1] 0.9871963
[1] "Iteration 979 of 1000:"
[1] 0.9850233
[1] "Iteration 980 of 1000:"
[1] 0.9864379
[1] "Iteration 981 of 1000:"
[1] 0.9863762
[1] "Iteration 982 of 1000:"
[1] 0.9885773
[1] "Iteration 983 of 1000:"
[1] 0.9862722
[1] "Iteration 984 of 1000:"
[1] 0.9854505
[1] "Iteration 985 of 1000:"
[1] 0.9878007
[1] "Iteration 986 of 1000:"
[1] 0.9844077
[1] "Iteration 987 of 1000:"
[1] 0.9870877
[1] "Iteration 988 of 1000:"
[1] 0.987624
[1] "Iteration 989 of 1000:"
[1] 0.9859389
[1] "Iteration 990 of 1000:"
[1] 0.9870275
[1] "Iteration 991 of 1000:"
[1] 0.98814
[1] "Iteration 992 of 1000:"
[1] 0.9866403
[1] "Iteration 993 of 1000:"
[1] 0.9854584
[1] "Iteration 994 of 1000:"
[1] 0.9864575
[1] "Iteration 995 of 1000:"
[1] 0.9863087
[1] "Iteration 996 of 1000:"
[1] 0.9863101
[1] "Iteration 997 of 1000:"
[1] 0.9875966
[1] "Iteration 998 of 1000:"
[1] 0.9857321
[1] "Iteration 999 of 1000:"
[1] 0.987191
[1] "Iteration 1000 of 1000:"
[1] 0.9863431
> better_model = Even_Better_Regression(in_model, top_level_iterations = 999,
+ intermediate_level_iterations = 101)
[1] "Iteration 1 of 999:"
[1] 0.9875838
[1] "Iteration 2 of 999:"
[1] 0.9880268
[1] "Iteration 3 of 999:"
[1] 0.9858519
[1] "Iteration 4 of 999:"
[1] 0.985886
[1] "Iteration 5 of 999:"
[1] 0.9870165
[1] "Iteration 6 of 999:"
[1] 0.9868901
[1] "Iteration 7 of 999:"
[1] 0.9880255
[1] "Iteration 8 of 999:"
[1] 0.9877173
[1] "Iteration 9 of 999:"
[1] 0.9867146
[1] "Iteration 10 of 999:"
[1] 0.9871838
[1] "Iteration 11 of 999:"
[1] 0.9857268
[1] "Iteration 12 of 999:"
[1] 0.9874604
[1] "Iteration 13 of 999:"
[1] 0.9861505
[1] "Iteration 14 of 999:"
[1] 0.9876267
[1] "Iteration 15 of 999:"
[1] 0.9869341
[1] "Iteration 16 of 999:"
[1] 0.9858686
[1] "Iteration 17 of 999:"
[1] 0.9857371
[1] "Iteration 18 of 999:"
[1] 0.9878701
[1] "Iteration 19 of 999:"
[1] 0.9846365
[1] "Iteration 20 of 999:"
[1] 0.9871541
[1] "Iteration 21 of 999:"
[1] 0.9879523
[1] "Iteration 22 of 999:"
[1] 0.9881912
[1] "Iteration 23 of 999:"
[1] 0.9849872
[1] "Iteration 24 of 999:"
[1] 0.9883255
[1] "Iteration 25 of 999:"
[1] 0.9882313
[1] "Iteration 26 of 999:"
[1] 0.9861957
[1] "Iteration 27 of 999:"
[1] 0.9880502
[1] "Iteration 28 of 999:"
[1] 0.9863304
[1] "Iteration 29 of 999:"
[1] 0.9880039
[1] "Iteration 30 of 999:"
[1] 0.9863128
[1] "Iteration 31 of 999:"
[1] 0.9854979
[1] "Iteration 32 of 999:"
[1] 0.9896227
[1] "Iteration 33 of 999:"
[1] 0.9856677
[1] "Iteration 34 of 999:"
[1] 0.9847124
[1] "Iteration 35 of 999:"
[1] 0.9896913
[1] "Iteration 36 of 999:"
[1] 0.9847307
[1] "Iteration 37 of 999:"
[1] 0.9856333
[1] "Iteration 38 of 999:"
[1] 0.9879325
[1] "Iteration 39 of 999:"
[1] 0.9863176
[1] "Iteration 40 of 999:"
[1] 0.9872845
[1] "Iteration 41 of 999:"
[1] 0.9880145
[1] "Iteration 42 of 999:"
[1] 0.9882995
[1] "Iteration 43 of 999:"
[1] 0.9858466
[1] "Iteration 44 of 999:"
[1] 0.9884379
[1] "Iteration 45 of 999:"
[1] 0.9837676
[1] "Iteration 46 of 999:"
[1] 0.9862858
[1] "Iteration 47 of 999:"
[1] 0.9871878
[1] "Iteration 48 of 999:"
[1] 0.9847455
[1] "Iteration 49 of 999:"
[1] 0.9852458
[1] "Iteration 50 of 999:"
[1] 0.9873285
[1] "Iteration 51 of 999:"
[1] 0.988336
[1] "Iteration 52 of 999:"
[1] 0.9860864
[1] "Iteration 53 of 999:"
[1] 0.9859349
[1] "Iteration 54 of 999:"
[1] 0.984864
[1] "Iteration 55 of 999:"
[1] 0.9848715
[1] "Iteration 56 of 999:"
[1] 0.9861695
[1] "Iteration 57 of 999:"
[1] 0.9873446
[1] "Iteration 58 of 999:"
[1] 0.9875712
[1] "Iteration 59 of 999:"
[1] 0.9871645
[1] "Iteration 60 of 999:"
[1] 0.9879128
[1] "Iteration 61 of 999:"
[1] 0.9882353
[1] "Iteration 62 of 999:"
[1] 0.9857982
[1] "Iteration 63 of 999:"
[1] 0.9891172
[1] "Iteration 64 of 999:"
[1] 0.9874209
[1] "Iteration 65 of 999:"
[1] 0.9877228
[1] "Iteration 66 of 999:"
[1] 0.9882409
[1] "Iteration 67 of 999:"
[1] 0.9855408
[1] "Iteration 68 of 999:"
[1] 0.9861502
[1] "Iteration 69 of 999:"
[1] 0.9852359
[1] "Iteration 70 of 999:"
[1] 0.9866417
[1] "Iteration 71 of 999:"
[1] 0.9870158
[1] "Iteration 72 of 999:"
[1] 0.9855337
[1] "Iteration 73 of 999:"
[1] 0.9854889
[1] "Iteration 74 of 999:"
[1] 0.9857306
[1] "Iteration 75 of 999:"
[1] 0.9867903
[1] "Iteration 76 of 999:"
[1] 0.9845068
[1] "Iteration 77 of 999:"
[1] 0.9875856
[1] "Iteration 78 of 999:"
[1] 0.9856639
[1] "Iteration 79 of 999:"
[1] 0.9862369
[1] "Iteration 80 of 999:"
[1] 0.9848062
[1] "Iteration 81 of 999:"
[1] 0.9884188
[1] "Iteration 82 of 999:"
[1] 0.9857578
[1] "Iteration 83 of 999:"
[1] 0.9847913
[1] "Iteration 84 of 999:"
[1] 0.9858356
[1] "Iteration 85 of 999:"
[1] 0.9861889
[1] "Iteration 86 of 999:"
[1] 0.984982
[1] "Iteration 87 of 999:"
[1] 0.9883748
[1] "Iteration 88 of 999:"
[1] 0.9882498
[1] "Iteration 89 of 999:"
[1] 0.9850145
[1] "Iteration 90 of 999:"
[1] 0.985973
[1] "Iteration 91 of 999:"
[1] 0.9846481
[1] "Iteration 92 of 999:"
[1] 0.987464
[1] "Iteration 93 of 999:"
[1] 0.9866349
[1] "Iteration 94 of 999:"
[1] 0.9865657
[1] "Iteration 95 of 999:"
[1] 0.9866875
[1] "Iteration 96 of 999:"
[1] 0.9858961
[1] "Iteration 97 of 999:"
[1] 0.9871508
[1] "Iteration 98 of 999:"
[1] 0.9877654
[1] "Iteration 99 of 999:"
[1] 0.9877165
[1] "Iteration 100 of 999:"
[1] 0.9846701
[1] "Iteration 101 of 999:"
[1] 0.9858807
[1] "Iteration 102 of 999:"
[1] 0.9847776
[1] "Iteration 103 of 999:"
[1] 0.9864664
[1] "Iteration 104 of 999:"
[1] 0.9888021
[1] "Iteration 105 of 999:"
[1] 0.9882947
[1] "Iteration 106 of 999:"
[1] 0.9881996
[1] "Iteration 107 of 999:"
[1] 0.9848775
[1] "Iteration 108 of 999:"
[1] 0.988573
[1] "Iteration 109 of 999:"
[1] 0.9871306
[1] "Iteration 110 of 999:"
[1] 0.9890593
[1] "Iteration 111 of 999:"
[1] 0.9885934
[1] "Iteration 112 of 999:"
[1] 0.9855325
[1] "Iteration 113 of 999:"
[1] 0.9851022
[1] "Iteration 114 of 999:"
[1] 0.9873777
[1] "Iteration 115 of 999:"
[1] 0.9858683
[1] "Iteration 116 of 999:"
[1] 0.9871617
[1] "Iteration 117 of 999:"
[1] 0.9861821
[1] "Iteration 118 of 999:"
[1] 0.9873776
[1] "Iteration 119 of 999:"
[1] 0.9885311
[1] "Iteration 120 of 999:"
[1] 0.9877683
[1] "Iteration 121 of 999:"
[1] 0.9853813
[1] "Iteration 122 of 999:"
[1] 0.9877458
[1] "Iteration 123 of 999:"
[1] 0.9880571
[1] "Iteration 124 of 999:"
[1] 0.9869554
[1] "Iteration 125 of 999:"
[1] 0.9876545
[1] "Iteration 126 of 999:"
[1] 0.9873494
[1] "Iteration 127 of 999:"
[1] 0.9882347
[1] "Iteration 128 of 999:"
[1] 0.9846766
[1] "Iteration 129 of 999:"
[1] 0.9880417
[1] "Iteration 130 of 999:"
[1] 0.9855865
[1] "Iteration 131 of 999:"
[1] 0.9872307
[1] "Iteration 132 of 999:"
[1] 0.9857146
[1] "Iteration 133 of 999:"
[1] 0.9883109
[1] "Iteration 134 of 999:"
[1] 0.9866326
[1] "Iteration 135 of 999:"
[1] 0.987464
[1] "Iteration 136 of 999:"
[1] 0.9857536
[1] "Iteration 137 of 999:"
[1] 0.9883336
[1] "Iteration 138 of 999:"
[1] 0.9866554
[1] "Iteration 139 of 999:"
[1] 0.985048
[1] "Iteration 140 of 999:"
[1] 0.985644
[1] "Iteration 141 of 999:"
[1] 0.9866087
[1] "Iteration 142 of 999:"
[1] 0.9862755
[1] "Iteration 143 of 999:"
[1] 0.9876764
[1] "Iteration 144 of 999:"
[1] 0.9873418
[1] "Iteration 145 of 999:"
[1] 0.9846702
[1] "Iteration 146 of 999:"
[1] 0.9881023
[1] "Iteration 147 of 999:"
[1] 0.9891849
[1] "Iteration 148 of 999:"
[1] 0.9884773
[1] "Iteration 149 of 999:"
[1] 0.9853776
[1] "Iteration 150 of 999:"
[1] 0.9879132
[1] "Iteration 151 of 999:"
[1] 0.9877087
[1] "Iteration 152 of 999:"
[1] 0.9831676
[1] "Iteration 153 of 999:"
[1] 0.9872604
[1] "Iteration 154 of 999:"
[1] 0.9849699
[1] "Iteration 155 of 999:"
[1] 0.9852207
[1] "Iteration 156 of 999:"
[1] 0.9858057
[1] "Iteration 157 of 999:"
[1] 0.98588
[1] "Iteration 158 of 999:"
[1] 0.9853059
[1] "Iteration 159 of 999:"
[1] 0.9861947
[1] "Iteration 160 of 999:"
[1] 0.9876831
[1] "Iteration 161 of 999:"
[1] 0.9889274
[1] "Iteration 162 of 999:"
[1] 0.9880243
[1] "Iteration 163 of 999:"
[1] 0.9886161
[1] "Iteration 164 of 999:"
[1] 0.9880819
[1] "Iteration 165 of 999:"
[1] 0.9855774
[1] "Iteration 166 of 999:"
[1] 0.9886894
[1] "Iteration 167 of 999:"
[1] 0.9880945
[1] "Iteration 168 of 999:"
[1] 0.9876552
[1] "Iteration 169 of 999:"
[1] 0.9866924
[1] "Iteration 170 of 999:"
[1] 0.9848631
[1] "Iteration 171 of 999:"
[1] 0.9811027
[1] "Iteration 172 of 999:"
[1] 0.9878707
[1] "Iteration 173 of 999:"
[1] 0.9874086
[1] "Iteration 174 of 999:"
[1] 0.9878892
[1] "Iteration 175 of 999:"
[1] 0.9867456
[1] "Iteration 176 of 999:"
[1] 0.9877811
[1] "Iteration 177 of 999:"
[1] 0.9879188
[1] "Iteration 178 of 999:"
[1] 0.9854055
[1] "Iteration 179 of 999:"
[1] 0.9887918
[1] "Iteration 180 of 999:"
[1] 0.9880256
[1] "Iteration 181 of 999:"
[1] 0.9856557
[1] "Iteration 182 of 999:"
[1] 0.9881913
[1] "Iteration 183 of 999:"
[1] 0.988418
[1] "Iteration 184 of 999:"
[1] 0.9886389
[1] "Iteration 185 of 999:"
[1] 0.9875223
[1] "Iteration 186 of 999:"
[1] 0.9857895
[1] "Iteration 187 of 999:"
[1] 0.9880259
[1] "Iteration 188 of 999:"
[1] 0.9872351
[1] "Iteration 189 of 999:"
[1] 0.9861297
[1] "Iteration 190 of 999:"
[1] 0.9880752
[1] "Iteration 191 of 999:"
[1] 0.9876319
[1] "Iteration 192 of 999:"
[1] 0.9859322
[1] "Iteration 193 of 999:"
[1] 0.9851506
[1] "Iteration 194 of 999:"
[1] 0.9851056
[1] "Iteration 195 of 999:"
[1] 0.9876417
[1] "Iteration 196 of 999:"
[1] 0.9865256
[1] "Iteration 197 of 999:"
[1] 0.9850952
[1] "Iteration 198 of 999:"
[1] 0.9851682
[1] "Iteration 199 of 999:"
[1] 0.9855518
[1] "Iteration 200 of 999:"
[1] 0.9886068
[1] "Iteration 201 of 999:"
[1] 0.9867456
[1] "Iteration 202 of 999:"
[1] 0.9858718
[1] "Iteration 203 of 999:"
[1] 0.9881717
[1] "Iteration 204 of 999:"
[1] 0.9891566
[1] "Iteration 205 of 999:"
[1] 0.9883719
[1] "Iteration 206 of 999:"
[1] 0.9875785
[1] "Iteration 207 of 999:"
[1] 0.9877106
[1] "Iteration 208 of 999:"
[1] 0.9880746
[1] "Iteration 209 of 999:"
[1] 0.987186
[1] "Iteration 210 of 999:"
[1] 0.9868635
[1] "Iteration 211 of 999:"
[1] 0.9859261
[1] "Iteration 212 of 999:"
[1] 0.9855936
[1] "Iteration 213 of 999:"
[1] 0.9850936
[1] "Iteration 214 of 999:"
[1] 0.9858345
[1] "Iteration 215 of 999:"
[1] 0.9861961
[1] "Iteration 216 of 999:"
[1] 0.986593
[1] "Iteration 217 of 999:"
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[1] "Iteration 941 of 999:"
[1] 0.9883033
[1] "Iteration 942 of 999:"
[1] 0.9857976
[1] "Iteration 943 of 999:"
[1] 0.9875594
[1] "Iteration 944 of 999:"
[1] 0.9874696
[1] "Iteration 945 of 999:"
[1] 0.9872534
[1] "Iteration 946 of 999:"
[1] 0.9871484
[1] "Iteration 947 of 999:"
[1] 0.98524
[1] "Iteration 948 of 999:"
[1] 0.9854171
[1] "Iteration 949 of 999:"
[1] 0.9863456
[1] "Iteration 950 of 999:"
[1] 0.9853115
[1] "Iteration 951 of 999:"
[1] 0.9859969
[1] "Iteration 952 of 999:"
[1] 0.9854455
[1] "Iteration 953 of 999:"
[1] 0.9861729
[1] "Iteration 954 of 999:"
[1] 0.9876759
[1] "Iteration 955 of 999:"
[1] 0.9890701
[1] "Iteration 956 of 999:"
[1] 0.9857575
[1] "Iteration 957 of 999:"
[1] 0.9881553
[1] "Iteration 958 of 999:"
[1] 0.9854988
[1] "Iteration 959 of 999:"
[1] 0.9848094
[1] "Iteration 960 of 999:"
[1] 0.9858098
[1] "Iteration 961 of 999:"
[1] 0.9865941
[1] "Iteration 962 of 999:"
[1] 0.9849774
[1] "Iteration 963 of 999:"
[1] 0.9873775
[1] "Iteration 964 of 999:"
[1] 0.9875481
[1] "Iteration 965 of 999:"
[1] 0.9876071
[1] "Iteration 966 of 999:"
[1] 0.9869617
[1] "Iteration 967 of 999:"
[1] 0.9870425
[1] "Iteration 968 of 999:"
[1] 0.9855539
[1] "Iteration 969 of 999:"
[1] 0.989026
[1] "Iteration 970 of 999:"
[1] 0.9872823
[1] "Iteration 971 of 999:"
[1] 0.9857496
[1] "Iteration 972 of 999:"
[1] 0.9865024
[1] "Iteration 973 of 999:"
[1] 0.9854312
[1] "Iteration 974 of 999:"
[1] 0.9882616
[1] "Iteration 975 of 999:"
[1] 0.986387
[1] "Iteration 976 of 999:"
[1] 0.9863566
[1] "Iteration 977 of 999:"
[1] 0.9884847
[1] "Iteration 978 of 999:"
[1] 0.9866668
[1] "Iteration 979 of 999:"
[1] 0.9874963
[1] "Iteration 980 of 999:"
[1] 0.9870586
[1] "Iteration 981 of 999:"
[1] 0.9874893
[1] "Iteration 982 of 999:"
[1] 0.9853969
[1] "Iteration 983 of 999:"
[1] 0.9856954
[1] "Iteration 984 of 999:"
[1] 0.9885303
[1] "Iteration 985 of 999:"
[1] 0.9869913
[1] "Iteration 986 of 999:"
[1] 0.9875463
[1] "Iteration 987 of 999:"
[1] 0.9862461
[1] "Iteration 988 of 999:"
[1] 0.9883489
[1] "Iteration 989 of 999:"
[1] 0.9897859
[1] "Iteration 990 of 999:"
[1] 0.986114
[1] "Iteration 991 of 999:"
[1] 0.9880107
[1] "Iteration 992 of 999:"
[1] 0.9853203
[1] "Iteration 993 of 999:"
[1] 0.9854473
[1] "Iteration 994 of 999:"
[1] 0.9849857
[1] "Iteration 995 of 999:"
[1] 0.9879054
[1] "Iteration 996 of 999:"
[1] 0.9866764
[1] "Iteration 997 of 999:"
[1] 0.986324
[1] "Iteration 998 of 999:"
[1] 0.9882013
[1] "Iteration 999 of 999:"
[1] 0.98568
> ## Same number of output coefficients guarenteed case:
> better_model = Even_Better_Regression(in_model, more_options = FALSE)
[1] "Iteration 1 of 1000:"
[1] 0.9873903
[1] "Iteration 2 of 1000:"
[1] 0.9873537
[1] "Iteration 3 of 1000:"
[1] 0.9850005
[1] "Iteration 4 of 1000:"
[1] 0.9855367
[1] "Iteration 5 of 1000:"
[1] 0.9873494
[1] "Iteration 6 of 1000:"
[1] 0.9874054
[1] "Iteration 7 of 1000:"
[1] 0.9876359
[1] "Iteration 8 of 1000:"
[1] 0.987487
[1] "Iteration 9 of 1000:"
[1] 0.9874196
[1] "Iteration 10 of 1000:"
[1] 0.9863924
[1] "Iteration 11 of 1000:"
[1] 0.9853865
[1] "Iteration 12 of 1000:"
[1] 0.9873494
[1] "Iteration 13 of 1000:"
[1] 0.9859948
[1] "Iteration 14 of 1000:"
[1] 0.9872343
[1] "Iteration 15 of 1000:"
[1] 0.9864022
[1] "Iteration 16 of 1000:"
[1] 0.9875223
[1] "Iteration 17 of 1000:"
[1] 0.9876743
[1] "Iteration 18 of 1000:"
[1] 0.9858387
[1] "Iteration 19 of 1000:"
[1] 0.9874783
[1] "Iteration 20 of 1000:"
[1] 0.987724
[1] "Iteration 21 of 1000:"
[1] 0.9869978
[1] "Iteration 22 of 1000:"
[1] 0.9861969
[1] "Iteration 23 of 1000:"
[1] 0.9872189
[1] "Iteration 24 of 1000:"
[1] 0.9877419
[1] "Iteration 25 of 1000:"
[1] 0.9874756
[1] "Iteration 26 of 1000:"
[1] 0.9873372
[1] "Iteration 27 of 1000:"
[1] 0.9865467
[1] "Iteration 28 of 1000:"
[1] 0.9873494
[1] "Iteration 29 of 1000:"
[1] 0.9859331
[1] "Iteration 30 of 1000:"
[1] 0.9856455
[1] "Iteration 31 of 1000:"
[1] 0.9878472
[1] "Iteration 32 of 1000:"
[1] 0.9880022
[1] "Iteration 33 of 1000:"
[1] 0.9879362
[1] "Iteration 34 of 1000:"
[1] 0.9878582
[1] "Iteration 35 of 1000:"
[1] 0.9881681
[1] "Iteration 36 of 1000:"
[1] 0.9874716
[1] "Iteration 37 of 1000:"
[1] 0.9875533
[1] "Iteration 38 of 1000:"
[1] 0.987482
[1] "Iteration 39 of 1000:"
[1] 0.9880843
[1] "Iteration 40 of 1000:"
[1] 0.9848855
[1] "Iteration 41 of 1000:"
[1] 0.9871758
[1] "Iteration 42 of 1000:"
[1] 0.9860871
[1] "Iteration 43 of 1000:"
[1] 0.9864551
[1] "Iteration 44 of 1000:"
[1] 0.9875552
[1] "Iteration 45 of 1000:"
[1] 0.9863404
[1] "Iteration 46 of 1000:"
[1] 0.9852562
[1] "Iteration 47 of 1000:"
[1] 0.9874961
[1] "Iteration 48 of 1000:"
[1] 0.9872496
[1] "Iteration 49 of 1000:"
[1] 0.9877476
[1] "Iteration 50 of 1000:"
[1] 0.9861561
[1] "Iteration 51 of 1000:"
[1] 0.9879892
[1] "Iteration 52 of 1000:"
[1] 0.9878253
[1] "Iteration 53 of 1000:"
[1] 0.9874021
[1] "Iteration 54 of 1000:"
[1] 0.9867438
[1] "Iteration 55 of 1000:"
[1] 0.9866464
[1] "Iteration 56 of 1000:"
[1] 0.9872979
[1] "Iteration 57 of 1000:"
[1] 0.9854856
[1] "Iteration 58 of 1000:"
[1] 0.9878528
[1] "Iteration 59 of 1000:"
[1] 0.9879271
[1] "Iteration 60 of 1000:"
[1] 0.985486
[1] "Iteration 61 of 1000:"
[1] 0.9860178
[1] "Iteration 62 of 1000:"
[1] 0.9859596
[1] "Iteration 63 of 1000:"
[1] 0.9862921
[1] "Iteration 64 of 1000:"
[1] 0.987317
[1] "Iteration 65 of 1000:"
[1] 0.987223
[1] "Iteration 66 of 1000:"
[1] 0.9853964
[1] "Iteration 67 of 1000:"
[1] 0.9875598
[1] "Iteration 68 of 1000:"
[1] 0.9866537
[1] "Iteration 69 of 1000:"
[1] 0.9877157
[1] "Iteration 70 of 1000:"
[1] 0.9876382
[1] "Iteration 71 of 1000:"
[1] 0.9879717
[1] "Iteration 72 of 1000:"
[1] 0.9859202
[1] "Iteration 73 of 1000:"
[1] 0.9866903
[1] "Iteration 74 of 1000:"
[1] 0.9874387
[1] "Iteration 75 of 1000:"
[1] 0.9876073
[1] "Iteration 76 of 1000:"
[1] 0.9846617
[1] "Iteration 77 of 1000:"
[1] 0.9858391
[1] "Iteration 78 of 1000:"
[1] 0.9859031
[1] "Iteration 79 of 1000:"
[1] 0.9880264
[1] "Iteration 80 of 1000:"
[1] 0.9874719
[1] "Iteration 81 of 1000:"
[1] 0.9878284
[1] "Iteration 82 of 1000:"
[1] 0.9857818
[1] "Iteration 83 of 1000:"
[1] 0.9877774
[1] "Iteration 84 of 1000:"
[1] 0.9882453
[1] "Iteration 85 of 1000:"
[1] 0.9877088
[1] "Iteration 86 of 1000:"
[1] 0.9847745
[1] "Iteration 87 of 1000:"
[1] 0.9870649
[1] "Iteration 88 of 1000:"
[1] 0.9875164
[1] "Iteration 89 of 1000:"
[1] 0.9886017
[1] "Iteration 90 of 1000:"
[1] 0.987508
[1] "Iteration 91 of 1000:"
[1] 0.9876389
[1] "Iteration 92 of 1000:"
[1] 0.9864406
[1] "Iteration 93 of 1000:"
[1] 0.9873023
[1] "Iteration 94 of 1000:"
[1] 0.9874257
[1] "Iteration 95 of 1000:"
[1] 0.9860665
[1] "Iteration 96 of 1000:"
[1] 0.9848877
[1] "Iteration 97 of 1000:"
[1] 0.9853455
[1] "Iteration 98 of 1000:"
[1] 0.9876151
[1] "Iteration 99 of 1000:"
[1] 0.9876452
[1] "Iteration 100 of 1000:"
[1] 0.9880027
[1] "Iteration 101 of 1000:"
[1] 0.9873056
[1] "Iteration 102 of 1000:"
[1] 0.9844462
[1] "Iteration 103 of 1000:"
[1] 0.9847446
[1] "Iteration 104 of 1000:"
[1] 0.9868622
[1] "Iteration 105 of 1000:"
[1] 0.9860438
[1] "Iteration 106 of 1000:"
[1] 0.9875444
[1] "Iteration 107 of 1000:"
[1] 0.9872193
[1] "Iteration 108 of 1000:"
[1] 0.9847952
[1] "Iteration 109 of 1000:"
[1] 0.9869496
[1] "Iteration 110 of 1000:"
[1] 0.9881093
[1] "Iteration 111 of 1000:"
[1] 0.9861591
[1] "Iteration 112 of 1000:"
[1] 0.9856026
[1] "Iteration 113 of 1000:"
[1] 0.9857748
[1] "Iteration 114 of 1000:"
[1] 0.9878967
[1] "Iteration 115 of 1000:"
[1] 0.9874136
[1] "Iteration 116 of 1000:"
[1] 0.987149
[1] "Iteration 117 of 1000:"
[1] 0.9881713
[1] "Iteration 118 of 1000:"
[1] 0.9878505
[1] "Iteration 119 of 1000:"
[1] 0.9886847
[1] "Iteration 120 of 1000:"
[1] 0.9867202
[1] "Iteration 121 of 1000:"
[1] 0.9872666
[1] "Iteration 122 of 1000:"
[1] 0.9855234
[1] "Iteration 123 of 1000:"
[1] 0.9845457
[1] "Iteration 124 of 1000:"
[1] 0.985699
[1] "Iteration 125 of 1000:"
[1] 0.9875815
[1] "Iteration 126 of 1000:"
[1] 0.9852374
[1] "Iteration 127 of 1000:"
[1] 0.9873228
[1] "Iteration 128 of 1000:"
[1] 0.9859981
[1] "Iteration 129 of 1000:"
[1] 0.9873193
[1] "Iteration 130 of 1000:"
[1] 0.9867713
[1] "Iteration 131 of 1000:"
[1] 0.9853317
[1] "Iteration 132 of 1000:"
[1] 0.9868744
[1] "Iteration 133 of 1000:"
[1] 0.9859205
[1] "Iteration 134 of 1000:"
[1] 0.9871363
[1] "Iteration 135 of 1000:"
[1] 0.987311
[1] "Iteration 136 of 1000:"
[1] 0.9872262
[1] "Iteration 137 of 1000:"
[1] 0.9869509
[1] "Iteration 138 of 1000:"
[1] 0.9875138
[1] "Iteration 139 of 1000:"
[1] 0.9855721
[1] "Iteration 140 of 1000:"
[1] 0.9855633
[1] "Iteration 141 of 1000:"
[1] 0.9875535
[1] "Iteration 142 of 1000:"
[1] 0.9861122
[1] "Iteration 143 of 1000:"
[1] 0.9848467
[1] "Iteration 144 of 1000:"
[1] 0.9880711
[1] "Iteration 145 of 1000:"
[1] 0.9881736
[1] "Iteration 146 of 1000:"
[1] 0.9873198
[1] "Iteration 147 of 1000:"
[1] 0.9876489
[1] "Iteration 148 of 1000:"
[1] 0.9871071
[1] "Iteration 149 of 1000:"
[1] 0.9867592
[1] "Iteration 150 of 1000:"
[1] 0.9881495
[1] "Iteration 151 of 1000:"
[1] 0.9877202
[1] "Iteration 152 of 1000:"
[1] 0.985249
[1] "Iteration 153 of 1000:"
[1] 0.988964
[1] "Iteration 154 of 1000:"
[1] 0.9880229
[1] "Iteration 155 of 1000:"
[1] 0.9861911
[1] "Iteration 156 of 1000:"
[1] 0.9858028
[1] "Iteration 157 of 1000:"
[1] 0.9878607
[1] "Iteration 158 of 1000:"
[1] 0.9872361
[1] "Iteration 159 of 1000:"
[1] 0.9871644
[1] "Iteration 160 of 1000:"
[1] 0.9875601
[1] "Iteration 161 of 1000:"
[1] 0.9865743
[1] "Iteration 162 of 1000:"
[1] 0.9873729
[1] "Iteration 163 of 1000:"
[1] 0.987124
[1] "Iteration 164 of 1000:"
[1] 0.9872882
[1] "Iteration 165 of 1000:"
[1] 0.9879122
[1] "Iteration 166 of 1000:"
[1] 0.9881737
[1] "Iteration 167 of 1000:"
[1] 0.9876341
[1] "Iteration 168 of 1000:"
[1] 0.9870643
[1] "Iteration 169 of 1000:"
[1] 0.9857889
[1] "Iteration 170 of 1000:"
[1] 0.9860026
[1] "Iteration 171 of 1000:"
[1] 0.9875882
[1] "Iteration 172 of 1000:"
[1] 0.9843727
[1] "Iteration 173 of 1000:"
[1] 0.9856868
[1] "Iteration 174 of 1000:"
[1] 0.9858339
[1] "Iteration 175 of 1000:"
[1] 0.9851114
[1] "Iteration 176 of 1000:"
[1] 0.9866767
[1] "Iteration 177 of 1000:"
[1] 0.9879009
[1] "Iteration 178 of 1000:"
[1] 0.9873003
[1] "Iteration 179 of 1000:"
[1] 0.9874925
[1] "Iteration 180 of 1000:"
[1] 0.9869136
[1] "Iteration 181 of 1000:"
[1] 0.9857054
[1] "Iteration 182 of 1000:"
[1] 0.9874501
[1] "Iteration 183 of 1000:"
[1] 0.9878383
[1] "Iteration 184 of 1000:"
[1] 0.9874568
[1] "Iteration 185 of 1000:"
[1] 0.9879186
[1] "Iteration 186 of 1000:"
[1] 0.9860485
[1] "Iteration 187 of 1000:"
[1] 0.9866307
[1] "Iteration 188 of 1000:"
[1] 0.9858546
[1] "Iteration 189 of 1000:"
[1] 0.9857198
[1] "Iteration 190 of 1000:"
[1] 0.9869555
[1] "Iteration 191 of 1000:"
[1] 0.9855033
[1] "Iteration 192 of 1000:"
[1] 0.9860622
[1] "Iteration 193 of 1000:"
[1] 0.987126
[1] "Iteration 194 of 1000:"
[1] 0.9867238
[1] "Iteration 195 of 1000:"
[1] 0.9880403
[1] "Iteration 196 of 1000:"
[1] 0.9863584
[1] "Iteration 197 of 1000:"
[1] 0.9862671
[1] "Iteration 198 of 1000:"
[1] 0.9873494
[1] "Iteration 199 of 1000:"
[1] 0.9854406
[1] "Iteration 200 of 1000:"
[1] 0.9855712
[1] "Iteration 201 of 1000:"
[1] 0.9848258
[1] "Iteration 202 of 1000:"
[1] 0.9876885
[1] "Iteration 203 of 1000:"
[1] 0.9887728
[1] "Iteration 204 of 1000:"
[1] 0.9877929
[1] "Iteration 205 of 1000:"
[1] 0.9858084
[1] "Iteration 206 of 1000:"
[1] 0.9850602
[1] "Iteration 207 of 1000:"
[1] 0.986918
[1] "Iteration 208 of 1000:"
[1] 0.9883078
[1] "Iteration 209 of 1000:"
[1] 0.9874068
[1] "Iteration 210 of 1000:"
[1] 0.9875513
[1] "Iteration 211 of 1000:"
[1] 0.9875352
[1] "Iteration 212 of 1000:"
[1] 0.9876275
[1] "Iteration 213 of 1000:"
[1] 0.9852005
[1] "Iteration 214 of 1000:"
[1] 0.9845217
[1] "Iteration 215 of 1000:"
[1] 0.9845441
[1] "Iteration 216 of 1000:"
[1] 0.9857895
[1] "Iteration 217 of 1000:"
[1] 0.9856142
[1] "Iteration 218 of 1000:"
[1] 0.9861898
[1] "Iteration 219 of 1000:"
[1] 0.9869442
[1] "Iteration 220 of 1000:"
[1] 0.9874249
[1] "Iteration 221 of 1000:"
[1] 0.9858025
[1] "Iteration 222 of 1000:"
[1] 0.9875405
[1] "Iteration 223 of 1000:"
[1] 0.9866359
[1] "Iteration 224 of 1000:"
[1] 0.9881534
[1] "Iteration 225 of 1000:"
[1] 0.9847959
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[1] 0.9851923
[1] "Iteration 227 of 1000:"
[1] 0.9859841
[1] "Iteration 228 of 1000:"
[1] 0.9858676
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[1] 0.9856421
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[1] 0.9876536
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[1] 0.9863066
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[1] 0.9880675
[1] "Iteration 233 of 1000:"
[1] 0.9865176
[1] "Iteration 234 of 1000:"
[1] 0.987989
[1] "Iteration 235 of 1000:"
[1] 0.9857431
[1] "Iteration 236 of 1000:"
[1] 0.9875218
[1] "Iteration 237 of 1000:"
[1] 0.9877312
[1] "Iteration 238 of 1000:"
[1] 0.9872761
[1] "Iteration 239 of 1000:"
[1] 0.9854406
[1] "Iteration 240 of 1000:"
[1] 0.9875034
[1] "Iteration 241 of 1000:"
[1] 0.9876387
[1] "Iteration 242 of 1000:"
[1] 0.9873086
[1] "Iteration 243 of 1000:"
[1] 0.9872426
[1] "Iteration 244 of 1000:"
[1] 0.987769
[1] "Iteration 245 of 1000:"
[1] 0.9846827
[1] "Iteration 246 of 1000:"
[1] 0.9866412
[1] "Iteration 247 of 1000:"
[1] 0.9871596
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[1] 0.9882848
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[1] 0.9870909
[1] "Iteration 250 of 1000:"
[1] 0.9874124
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[1] 0.9865025
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[1] 0.9863176
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[1] 0.9861117
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[1] 0.987552
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[1] 0.9857205
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[1] 0.9850804
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[1] 0.9851289
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[1] 0.9865481
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[1] 0.9866065
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[1] 0.9839919
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[1] 0.9848331
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[1] 0.9868397
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[1] 0.9854395
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[1] 0.9876827
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[1] 0.9854451
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[1] 0.9879745
[1] "Iteration 267 of 1000:"
[1] 0.9871065
[1] "Iteration 268 of 1000:"
[1] 0.9888089
[1] "Iteration 269 of 1000:"
[1] 0.9874166
[1] "Iteration 270 of 1000:"
[1] 0.9857731
[1] "Iteration 271 of 1000:"
[1] 0.9876836
[1] "Iteration 272 of 1000:"
[1] 0.9871857
[1] "Iteration 273 of 1000:"
[1] 0.9866132
[1] "Iteration 274 of 1000:"
[1] 0.9856141
[1] "Iteration 275 of 1000:"
[1] 0.9873494
[1] "Iteration 276 of 1000:"
[1] 0.9872383
[1] "Iteration 277 of 1000:"
[1] 0.9874769
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[1] 0.9870543
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[1] 0.9850423
[1] "Iteration 280 of 1000:"
[1] 0.9875435
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[1] 0.9875473
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[1] 0.9873827
[1] "Iteration 283 of 1000:"
[1] 0.9862159
[1] "Iteration 284 of 1000:"
[1] 0.987484
[1] "Iteration 285 of 1000:"
[1] 0.9874945
[1] "Iteration 286 of 1000:"
[1] 0.987226
[1] "Iteration 287 of 1000:"
[1] 0.9875999
[1] "Iteration 288 of 1000:"
[1] 0.985622
[1] "Iteration 289 of 1000:"
[1] 0.9873246
[1] "Iteration 290 of 1000:"
[1] 0.9877304
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[1] 0.9875417
[1] "Iteration 292 of 1000:"
[1] 0.9873255
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[1] 0.9869598
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[1] 0.9890646
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[1] 0.9876867
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[1] 0.9875557
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[1] 0.9886416
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[1] 0.9872671
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[1] 0.9875795
[1] "Iteration 300 of 1000:"
[1] 0.9868308
[1] "Iteration 301 of 1000:"
[1] 0.9873615
[1] "Iteration 302 of 1000:"
[1] 0.9882924
[1] "Iteration 303 of 1000:"
[1] 0.9880176
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[1] 0.9859663
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[1] 0.9870939
[1] "Iteration 673 of 1000:"
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[1] 0.9876482
[1] "Iteration 675 of 1000:"
[1] 0.9873829
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[1] 0.9874894
[1] "Iteration 677 of 1000:"
[1] 0.9872113
[1] "Iteration 678 of 1000:"
[1] 0.9880636
[1] "Iteration 679 of 1000:"
[1] 0.9877526
[1] "Iteration 680 of 1000:"
[1] 0.9872072
[1] "Iteration 681 of 1000:"
[1] 0.9875656
[1] "Iteration 682 of 1000:"
[1] 0.9886695
[1] "Iteration 683 of 1000:"
[1] 0.9879513
[1] "Iteration 684 of 1000:"
[1] 0.988661
[1] "Iteration 685 of 1000:"
[1] 0.9871596
[1] "Iteration 686 of 1000:"
[1] 0.9881433
[1] "Iteration 687 of 1000:"
[1] 0.9877257
[1] "Iteration 688 of 1000:"
[1] 0.9861598
[1] "Iteration 689 of 1000:"
[1] 0.9873622
[1] "Iteration 690 of 1000:"
[1] 0.9855065
[1] "Iteration 691 of 1000:"
[1] 0.9879362
[1] "Iteration 692 of 1000:"
[1] 0.985879
[1] "Iteration 693 of 1000:"
[1] 0.9882918

Execution halted
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ... [30m/30m] ERROR
  Running ‘spelling.R’ [0s/0s]
  Running ‘testthat.R’ [30m/30m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # This file is part of the standard setup for testthat.
  > # It is recommended that you do not modify it.
  > #
  > # Where should you do additional test configuration?
  > # Learn more about the roles of various files in:
  > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
  > # * https://testthat.r-lib.org/articles/special-files.html
  > 
  > library(testthat)
  > library(EvenBetterRegression)
  > 
  > test_check("EvenBetterRegression")
  [1] "Iteration 1 of 1000:"
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  Execution halted
* checking PDF version of manual ... [3s/3s] OK
* checking HTML version of manual ... [0s/0s] OK
* checking for non-standard things in the check directory ... OK
* checking for detritus in the temp directory ... OK
* DONE
Status: 2 ERRORs, 1 NOTE