##############################################################################
##############################################################################
###
### Running command:
###
###   F:\biocbuild\bbs-3.20-bioc\R\bin\R.exe CMD check --no-multiarch --install=check:HPiP.install-out.txt --library=F:\biocbuild\bbs-3.20-bioc\R\library --no-vignettes --timings HPiP_1.11.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory 'F:/biocbuild/bbs-3.20-bioc/meat/HPiP.Rcheck'
* using R version 4.4.0 RC (2024-04-16 r86468 ucrt)
* using platform: x86_64-w64-mingw32
* R was compiled by
    gcc.exe (GCC) 13.2.0
    GNU Fortran (GCC) 13.2.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* using option '--no-vignettes'
* checking for file 'HPiP/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'HPiP' version '1.11.0'
* package encoding: UTF-8
* 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 hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'HPiP' can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking 'build' directory ... OK
* checking DESCRIPTION meta-information ... NOTE
License stub is invalid DCF.
* 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 ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... 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 ... OK
* checking Rd files ... NOTE
checkRd: (-1) getHPI.Rd:29: Lost braces
    29 | then the Kronecker product is the code{(pm × qn)} block matrix
       |                                       ^
* checking Rd metadata ... OK
* checking Rd cross-references ... NOTE
Package unavailable to check Rd xrefs: 'ftrCOOL'
* 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 contents of 'data' directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking R/sysdata.rda ... OK
* checking files in 'vignettes' ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
               user system elapsed
FSmethod      31.99   1.67   33.78
var_imp       31.70   1.59   33.29
corr_plot     31.84   1.35   33.19
pred_ensembel 13.85   0.67   10.82
enrichfindP    0.52   0.14   12.65
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
  Running 'runTests.R'
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 3 NOTEs
See
  'F:/biocbuild/bbs-3.20-bioc/meat/HPiP.Rcheck/00check.log'
for details.

##############################################################################
##############################################################################
###
### Running command:
###
###   F:\biocbuild\bbs-3.20-bioc\R\bin\R.exe CMD INSTALL HPiP
###
##############################################################################
##############################################################################


* installing to library 'F:/biocbuild/bbs-3.20-bioc/R/library'
* installing *source* package 'HPiP' ...
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (HPiP)

R version 4.4.0 RC (2024-04-16 r86468 ucrt) -- "Puppy Cup"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> BiocGenerics:::testPackage('HPiP')
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
avNNet
Loading required package: ggplot2
Loading required package: lattice
Fitting Repeat 1 

# weights:  103
initial  value 95.483500 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 102.821054 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 100.485006 
iter  10 value 85.442012
iter  20 value 82.427184
iter  30 value 82.405230
iter  40 value 82.405145
final  value 82.405134 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.695417 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 111.049788 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 95.543368 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.659531 
final  value 94.026542 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.089494 
iter  10 value 92.651583
iter  20 value 92.550994
final  value 92.550731 
converged
Fitting Repeat 4 

# weights:  305
initial  value 95.164111 
final  value 94.026542 
converged
Fitting Repeat 5 

# weights:  305
initial  value 102.103551 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 97.828438 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  507
initial  value 98.678523 
iter  10 value 93.148408
iter  20 value 93.111871
iter  30 value 91.121003
iter  40 value 91.068398
iter  40 value 91.068398
iter  40 value 91.068398
final  value 91.068398 
converged
Fitting Repeat 3 

# weights:  507
initial  value 99.022358 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 115.922267 
iter  10 value 93.243756
iter  20 value 93.221551
final  value 93.221395 
converged
Fitting Repeat 5 

# weights:  507
initial  value 101.975789 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  103
initial  value 108.450981 
iter  10 value 94.485923
iter  20 value 94.049257
iter  30 value 94.014099
final  value 94.012417 
converged
Fitting Repeat 2 

# weights:  103
initial  value 112.008871 
iter  10 value 94.474840
iter  20 value 94.000522
iter  30 value 93.928171
final  value 93.927614 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.849186 
iter  10 value 94.298265
iter  20 value 87.862342
iter  30 value 85.209557
iter  40 value 83.605529
final  value 83.386658 
converged
Fitting Repeat 4 

# weights:  103
initial  value 104.736501 
iter  10 value 94.424214
iter  20 value 87.185270
iter  30 value 86.853464
iter  40 value 86.451065
iter  50 value 86.301922
iter  60 value 85.385204
iter  70 value 84.121527
iter  80 value 83.697017
iter  90 value 83.453982
iter 100 value 83.289712
final  value 83.289712 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 102.367252 
iter  10 value 94.467551
iter  20 value 85.228776
iter  30 value 83.860798
iter  40 value 83.395644
iter  50 value 83.268052
final  value 83.264624 
converged
Fitting Repeat 1 

# weights:  305
initial  value 119.571132 
iter  10 value 95.342512
iter  20 value 94.549850
iter  30 value 94.534305
iter  40 value 88.229884
iter  50 value 86.676222
iter  60 value 85.512054
iter  70 value 85.296749
iter  80 value 83.396949
iter  90 value 83.086957
iter 100 value 81.513940
final  value 81.513940 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 100.420328 
iter  10 value 94.414975
iter  20 value 93.449646
iter  30 value 92.110844
iter  40 value 89.822044
iter  50 value 85.153111
iter  60 value 84.380430
iter  70 value 84.049661
iter  80 value 83.788079
iter  90 value 83.562338
iter 100 value 81.905664
final  value 81.905664 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 106.799690 
iter  10 value 94.474582
iter  20 value 93.728230
iter  30 value 91.456582
iter  40 value 83.930467
iter  50 value 81.272120
iter  60 value 80.398985
iter  70 value 80.132863
iter  80 value 79.912564
iter  90 value 79.816643
iter 100 value 79.593050
final  value 79.593050 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 101.063501 
iter  10 value 94.123930
iter  20 value 93.928270
iter  30 value 93.752899
iter  40 value 88.524500
iter  50 value 81.532204
iter  60 value 80.718734
iter  70 value 80.097283
iter  80 value 79.915213
iter  90 value 79.771099
iter 100 value 79.676201
final  value 79.676201 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 102.066659 
iter  10 value 94.638532
iter  20 value 92.602312
iter  30 value 90.266516
iter  40 value 84.480958
iter  50 value 81.802928
iter  60 value 80.746884
iter  70 value 80.250033
iter  80 value 79.536813
iter  90 value 79.193483
iter 100 value 78.946888
final  value 78.946888 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 117.209089 
iter  10 value 94.523121
iter  20 value 87.643055
iter  30 value 83.817463
iter  40 value 83.332617
iter  50 value 83.024301
iter  60 value 82.887722
iter  70 value 82.372226
iter  80 value 81.271415
iter  90 value 80.898225
iter 100 value 80.241672
final  value 80.241672 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 105.067285 
iter  10 value 94.328097
iter  20 value 92.410909
iter  30 value 91.104297
iter  40 value 85.188179
iter  50 value 83.845662
iter  60 value 81.866343
iter  70 value 80.586140
iter  80 value 80.196894
iter  90 value 79.913300
iter 100 value 79.587842
final  value 79.587842 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 106.734655 
iter  10 value 93.167065
iter  20 value 90.015393
iter  30 value 85.812911
iter  40 value 85.039533
iter  50 value 84.869797
iter  60 value 84.602746
iter  70 value 82.226714
iter  80 value 81.199124
iter  90 value 80.692226
iter 100 value 80.267667
final  value 80.267667 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 104.645966 
iter  10 value 96.625745
iter  20 value 94.435869
iter  30 value 92.285419
iter  40 value 88.824513
iter  50 value 84.376997
iter  60 value 83.175695
iter  70 value 82.256921
iter  80 value 80.452704
iter  90 value 80.006259
iter 100 value 79.862829
final  value 79.862829 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 131.255243 
iter  10 value 94.785865
iter  20 value 92.622646
iter  30 value 87.248129
iter  40 value 82.627329
iter  50 value 82.178621
iter  60 value 81.642057
iter  70 value 81.001555
iter  80 value 80.478401
iter  90 value 80.375920
iter 100 value 79.699196
final  value 79.699196 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 102.351413 
final  value 94.485722 
converged
Fitting Repeat 2 

# weights:  103
initial  value 100.835983 
final  value 94.485874 
converged
Fitting Repeat 3 

# weights:  103
initial  value 104.538713 
final  value 94.485782 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.330232 
final  value 94.485650 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.061661 
final  value 94.486204 
converged
Fitting Repeat 1 

# weights:  305
initial  value 110.882332 
iter  10 value 93.572737
iter  20 value 91.976743
iter  30 value 91.350192
iter  40 value 91.264581
iter  50 value 91.217588
iter  60 value 91.207243
final  value 91.207162 
converged
Fitting Repeat 2 

# weights:  305
initial  value 105.962102 
iter  10 value 94.031330
iter  20 value 93.921859
iter  30 value 89.213640
iter  40 value 84.373092
iter  50 value 84.369419
iter  60 value 83.908332
iter  70 value 83.859772
iter  80 value 83.850448
iter  90 value 83.763078
iter 100 value 83.756077
final  value 83.756077 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 104.071906 
iter  10 value 94.489004
iter  20 value 94.476726
iter  30 value 93.912109
iter  40 value 93.892112
final  value 93.823110 
converged
Fitting Repeat 4 

# weights:  305
initial  value 98.101369 
iter  10 value 94.488944
iter  20 value 94.484189
iter  30 value 90.271231
iter  40 value 90.051644
iter  50 value 90.040804
iter  60 value 90.030917
iter  70 value 90.002306
iter  80 value 89.559971
iter  90 value 85.407110
iter 100 value 81.465968
final  value 81.465968 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 107.394968 
iter  10 value 94.489281
iter  20 value 93.582007
iter  30 value 93.571151
iter  40 value 93.563648
iter  50 value 86.943746
iter  60 value 86.691731
iter  70 value 86.664402
iter  80 value 84.908182
iter  90 value 84.743434
iter 100 value 84.743343
final  value 84.743343 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 122.609059 
iter  10 value 93.843601
iter  20 value 93.837538
iter  30 value 93.824772
iter  40 value 85.333692
iter  50 value 84.341516
iter  60 value 84.256002
iter  70 value 84.246808
iter  80 value 84.094842
iter  90 value 82.541822
iter 100 value 82.288522
final  value 82.288522 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 123.388656 
iter  10 value 94.492464
iter  20 value 94.473074
iter  30 value 93.912339
final  value 93.912331 
converged
Fitting Repeat 3 

# weights:  507
initial  value 102.352608 
iter  10 value 94.488667
iter  20 value 94.444890
iter  30 value 87.143128
iter  40 value 84.732754
iter  50 value 81.055227
iter  60 value 80.614588
iter  70 value 80.519620
final  value 80.518110 
converged
Fitting Repeat 4 

# weights:  507
initial  value 96.392438 
iter  10 value 94.034846
iter  20 value 94.027646
iter  30 value 94.007457
iter  40 value 90.651613
iter  50 value 87.334018
iter  60 value 87.303133
iter  70 value 87.290893
iter  80 value 86.748188
iter  90 value 84.068811
iter 100 value 83.704148
final  value 83.704148 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 102.708935 
iter  10 value 93.167569
iter  20 value 93.165338
iter  30 value 93.158988
iter  40 value 93.158699
iter  50 value 92.998400
iter  60 value 91.967789
iter  70 value 88.761817
iter  80 value 88.613623
iter  90 value 88.613186
iter 100 value 88.613054
final  value 88.613054 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 96.672702 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 103.580544 
iter  10 value 94.042045
final  value 94.042013 
converged
Fitting Repeat 3 

# weights:  103
initial  value 101.298404 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.713903 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 100.348533 
final  value 94.038251 
converged
Fitting Repeat 1 

# weights:  305
initial  value 97.705344 
iter  10 value 93.624047
iter  20 value 93.491109
iter  20 value 93.491109
iter  20 value 93.491108
final  value 93.491108 
converged
Fitting Repeat 2 

# weights:  305
initial  value 107.483666 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  305
initial  value 96.631058 
iter  10 value 94.040651
final  value 94.038251 
converged
Fitting Repeat 4 

# weights:  305
initial  value 123.063350 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 103.631524 
iter  10 value 87.360618
iter  20 value 83.660884
iter  30 value 83.235962
iter  40 value 82.501739
iter  50 value 82.080195
iter  60 value 82.080061
iter  60 value 82.080061
iter  60 value 82.080061
final  value 82.080061 
converged
Fitting Repeat 1 

# weights:  507
initial  value 109.534948 
iter  10 value 94.041912
iter  20 value 94.038256
final  value 94.038252 
converged
Fitting Repeat 2 

# weights:  507
initial  value 99.291850 
iter  10 value 93.123449
iter  20 value 92.701796
final  value 92.701657 
converged
Fitting Repeat 3 

# weights:  507
initial  value 108.716439 
final  value 94.011429 
converged
Fitting Repeat 4 

# weights:  507
initial  value 102.804219 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  507
initial  value 107.366506 
iter  10 value 87.088651
iter  20 value 85.928086
iter  30 value 85.901873
final  value 85.896859 
converged
Fitting Repeat 1 

# weights:  103
initial  value 105.177801 
iter  10 value 94.298120
iter  20 value 86.594797
iter  30 value 86.210749
iter  40 value 86.104108
iter  50 value 85.962355
iter  60 value 85.586456
iter  70 value 85.540841
final  value 85.529587 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.970250 
iter  10 value 94.055558
iter  20 value 90.927913
iter  30 value 86.270769
iter  40 value 86.023545
iter  50 value 85.619832
iter  60 value 85.591538
iter  70 value 85.561715
final  value 85.553352 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.540214 
iter  10 value 93.960839
iter  20 value 87.065491
iter  30 value 85.722139
iter  40 value 85.307750
iter  50 value 85.194948
iter  60 value 84.926876
iter  70 value 84.924170
final  value 84.924107 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.899436 
iter  10 value 92.844087
iter  20 value 86.226162
iter  30 value 85.754180
iter  40 value 85.474737
iter  50 value 85.303914
final  value 85.303724 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.488982 
iter  10 value 93.950067
iter  20 value 92.207452
iter  30 value 91.731419
iter  40 value 89.376849
iter  50 value 84.500830
iter  60 value 84.000656
iter  70 value 83.176000
iter  80 value 83.089180
iter  90 value 83.065541
iter 100 value 83.053747
final  value 83.053747 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 120.268431 
iter  10 value 94.116935
iter  20 value 91.309513
iter  30 value 89.034933
iter  40 value 83.211650
iter  50 value 82.072062
iter  60 value 81.847065
iter  70 value 81.753967
iter  80 value 81.723052
iter  90 value 81.717954
iter 100 value 81.710963
final  value 81.710963 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 103.172630 
iter  10 value 94.064579
iter  20 value 90.577594
iter  30 value 87.741907
iter  40 value 85.917821
iter  50 value 84.789953
iter  60 value 84.238666
iter  70 value 84.013702
iter  80 value 83.985453
iter  90 value 83.951090
iter 100 value 83.495370
final  value 83.495370 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 106.294428 
iter  10 value 94.044384
iter  20 value 93.524914
iter  30 value 90.051372
iter  40 value 85.032425
iter  50 value 83.906845
iter  60 value 82.962939
iter  70 value 82.691894
iter  80 value 82.529500
iter  90 value 82.313720
iter 100 value 82.200555
final  value 82.200555 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 110.390790 
iter  10 value 94.015808
iter  20 value 90.477499
iter  30 value 87.870556
iter  40 value 87.616340
iter  50 value 86.002878
iter  60 value 85.570187
iter  70 value 84.747372
iter  80 value 84.138065
iter  90 value 83.635756
iter 100 value 83.129891
final  value 83.129891 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 103.988889 
iter  10 value 94.064648
iter  20 value 88.129723
iter  30 value 86.244508
iter  40 value 85.806812
iter  50 value 84.225921
iter  60 value 83.648538
iter  70 value 83.064017
iter  80 value 82.972387
iter  90 value 82.958244
iter 100 value 82.956294
final  value 82.956294 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 103.409822 
iter  10 value 94.033055
iter  20 value 90.532311
iter  30 value 87.170065
iter  40 value 83.841258
iter  50 value 83.001160
iter  60 value 82.387703
iter  70 value 82.097970
iter  80 value 81.874461
iter  90 value 81.796600
iter 100 value 81.710091
final  value 81.710091 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 109.636321 
iter  10 value 94.422608
iter  20 value 91.786257
iter  30 value 86.676282
iter  40 value 86.086768
iter  50 value 85.560424
iter  60 value 84.495708
iter  70 value 83.257720
iter  80 value 82.787922
iter  90 value 82.001814
iter 100 value 81.826231
final  value 81.826231 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 109.385941 
iter  10 value 94.583132
iter  20 value 92.167076
iter  30 value 85.396605
iter  40 value 84.017884
iter  50 value 83.293752
iter  60 value 82.413092
iter  70 value 81.900483
iter  80 value 81.765578
iter  90 value 81.723645
iter 100 value 81.715434
final  value 81.715434 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 112.702322 
iter  10 value 93.553815
iter  20 value 88.632257
iter  30 value 86.285888
iter  40 value 84.142975
iter  50 value 82.232134
iter  60 value 81.668453
iter  70 value 81.514658
iter  80 value 81.367803
iter  90 value 81.331999
iter 100 value 81.326234
final  value 81.326234 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 113.415432 
iter  10 value 93.436405
iter  20 value 88.472885
iter  30 value 84.346244
iter  40 value 83.553329
iter  50 value 82.772087
iter  60 value 81.715314
iter  70 value 81.553433
iter  80 value 81.398752
iter  90 value 81.337231
iter 100 value 81.335634
final  value 81.335634 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 99.625062 
final  value 94.055408 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.273948 
final  value 94.054631 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.398360 
final  value 94.054356 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.726720 
final  value 93.630114 
converged
Fitting Repeat 5 

# weights:  103
initial  value 101.158860 
final  value 94.054382 
converged
Fitting Repeat 1 

# weights:  305
initial  value 129.472720 
iter  10 value 94.059217
iter  20 value 94.043902
final  value 94.039649 
converged
Fitting Repeat 2 

# weights:  305
initial  value 110.109398 
iter  10 value 94.057661
iter  20 value 94.053116
iter  30 value 93.805314
iter  40 value 89.030266
iter  50 value 87.497613
iter  60 value 87.489924
iter  70 value 87.487909
iter  80 value 87.481804
iter  90 value 87.160915
iter 100 value 86.562281
final  value 86.562281 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 98.659294 
iter  10 value 94.043318
iter  20 value 94.038709
final  value 94.038274 
converged
Fitting Repeat 4 

# weights:  305
initial  value 96.678304 
iter  10 value 94.057157
iter  20 value 91.106645
iter  30 value 87.026684
final  value 86.752312 
converged
Fitting Repeat 5 

# weights:  305
initial  value 105.192938 
iter  10 value 94.016407
iter  20 value 94.011692
iter  30 value 92.326044
iter  40 value 90.214521
iter  50 value 84.913087
iter  60 value 83.337439
iter  70 value 83.038531
iter  80 value 82.763023
final  value 82.757292 
converged
Fitting Repeat 1 

# weights:  507
initial  value 107.879531 
iter  10 value 94.061153
iter  20 value 92.274758
iter  30 value 92.260930
iter  40 value 92.250977
iter  50 value 92.245788
iter  60 value 92.233389
iter  70 value 92.225007
iter  80 value 91.230294
iter  90 value 85.388691
iter 100 value 85.374442
final  value 85.374442 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 96.103058 
iter  10 value 91.934340
iter  20 value 91.518743
iter  30 value 91.027088
iter  40 value 90.970653
iter  50 value 90.948909
iter  60 value 90.904673
iter  70 value 90.758317
iter  80 value 90.748803
iter  90 value 90.745481
iter 100 value 90.745231
final  value 90.745231 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 94.984899 
iter  10 value 94.046337
iter  20 value 93.983247
iter  30 value 87.451295
iter  40 value 87.254405
iter  50 value 87.238270
iter  60 value 87.237986
iter  70 value 85.182745
iter  80 value 85.159444
final  value 85.159442 
converged
Fitting Repeat 4 

# weights:  507
initial  value 98.318007 
iter  10 value 94.046444
iter  20 value 93.501928
iter  30 value 85.467151
iter  40 value 85.220975
iter  50 value 85.220677
iter  60 value 85.218432
iter  70 value 84.519861
iter  80 value 84.506128
iter  90 value 84.505469
iter  90 value 84.505468
iter  90 value 84.505468
final  value 84.505468 
converged
Fitting Repeat 5 

# weights:  507
initial  value 100.443331 
iter  10 value 94.046155
iter  20 value 93.933421
iter  30 value 85.989352
iter  40 value 85.597964
iter  50 value 84.881569
iter  60 value 84.791197
iter  70 value 84.790657
final  value 84.790653 
converged
Fitting Repeat 1 

# weights:  103
initial  value 107.174128 
iter  10 value 93.213618
iter  20 value 93.128762
iter  30 value 93.122031
final  value 93.122019 
converged
Fitting Repeat 2 

# weights:  103
initial  value 102.706450 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.782673 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 106.252803 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 103.084199 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 97.041874 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 104.633839 
final  value 93.962011 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.800175 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  305
initial  value 102.569597 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 108.724842 
iter  10 value 84.585689
iter  20 value 84.129565
final  value 84.129252 
converged
Fitting Repeat 1 

# weights:  507
initial  value 97.409562 
iter  10 value 93.900001
final  value 93.900000 
converged
Fitting Repeat 2 

# weights:  507
initial  value 94.493496 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  507
initial  value 95.539704 
iter  10 value 93.178579
iter  10 value 93.178578
iter  10 value 93.178578
final  value 93.178578 
converged
Fitting Repeat 4 

# weights:  507
initial  value 110.085082 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  507
initial  value 116.430259 
iter  10 value 92.974311
iter  20 value 92.670184
iter  30 value 92.641213
final  value 92.641210 
converged
Fitting Repeat 1 

# weights:  103
initial  value 99.793928 
iter  10 value 93.320500
iter  20 value 88.665635
iter  30 value 87.265213
iter  40 value 86.905938
iter  50 value 86.548930
iter  60 value 86.501942
iter  70 value 84.361203
iter  80 value 84.083363
iter  90 value 83.980491
iter 100 value 82.765648
final  value 82.765648 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 97.985143 
iter  10 value 94.031909
iter  20 value 93.610324
iter  30 value 93.350434
iter  40 value 93.329118
iter  50 value 93.266757
iter  60 value 88.517328
iter  70 value 85.287268
iter  80 value 84.919662
iter  90 value 84.727472
iter 100 value 84.697023
final  value 84.697023 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 113.025386 
iter  10 value 94.016002
iter  20 value 93.686327
iter  30 value 93.685619
iter  40 value 89.064217
iter  50 value 88.374493
iter  60 value 86.565330
iter  70 value 86.182628
iter  80 value 85.989189
iter  90 value 83.866239
iter 100 value 83.619918
final  value 83.619918 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 98.166483 
iter  10 value 94.058487
iter  20 value 92.780612
iter  30 value 87.073117
iter  40 value 85.186952
iter  50 value 84.673891
iter  60 value 84.538785
iter  70 value 84.324735
iter  80 value 82.615298
iter  90 value 82.000678
iter 100 value 81.334357
final  value 81.334357 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 98.900482 
iter  10 value 93.963908
iter  20 value 93.207792
iter  30 value 92.654861
iter  40 value 87.811783
iter  50 value 85.176434
iter  60 value 84.739365
iter  70 value 84.700526
final  value 84.697023 
converged
Fitting Repeat 1 

# weights:  305
initial  value 100.514627 
iter  10 value 94.025120
iter  20 value 87.917640
iter  30 value 86.707699
iter  40 value 84.096433
iter  50 value 83.357746
iter  60 value 83.112621
iter  70 value 82.734651
iter  80 value 82.549151
iter  90 value 82.469584
iter 100 value 82.350234
final  value 82.350234 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 101.861304 
iter  10 value 94.278254
iter  20 value 93.116763
iter  30 value 88.842652
iter  40 value 87.471452
iter  50 value 85.091293
iter  60 value 84.738445
iter  70 value 84.046362
iter  80 value 83.944192
iter  90 value 83.481212
iter 100 value 81.561090
final  value 81.561090 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 111.107969 
iter  10 value 94.037388
iter  20 value 93.809514
iter  30 value 93.325444
iter  40 value 87.436529
iter  50 value 84.823823
iter  60 value 84.678823
iter  70 value 84.008170
iter  80 value 83.757813
iter  90 value 83.075262
iter 100 value 81.765279
final  value 81.765279 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 101.197096 
iter  10 value 93.907333
iter  20 value 93.177608
iter  30 value 87.236301
iter  40 value 84.701304
iter  50 value 82.227785
iter  60 value 81.063023
iter  70 value 80.636038
iter  80 value 80.213320
iter  90 value 79.901059
iter 100 value 79.701428
final  value 79.701428 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 100.553932 
iter  10 value 94.646048
iter  20 value 93.090388
iter  30 value 89.610460
iter  40 value 84.107196
iter  50 value 82.948284
iter  60 value 82.705613
iter  70 value 82.304944
iter  80 value 80.891990
iter  90 value 80.534512
iter 100 value 80.455097
final  value 80.455097 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 104.417946 
iter  10 value 93.760586
iter  20 value 93.569279
iter  30 value 92.484413
iter  40 value 85.933898
iter  50 value 85.421651
iter  60 value 83.925273
iter  70 value 82.830249
iter  80 value 81.902396
iter  90 value 80.827444
iter 100 value 80.331542
final  value 80.331542 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 137.796253 
iter  10 value 94.126898
iter  20 value 93.911313
iter  30 value 85.565998
iter  40 value 85.047455
iter  50 value 83.949684
iter  60 value 83.598367
iter  70 value 83.051339
iter  80 value 81.438177
iter  90 value 80.577937
iter 100 value 80.126504
final  value 80.126504 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 109.631173 
iter  10 value 95.536137
iter  20 value 94.190143
iter  30 value 93.792637
iter  40 value 88.594502
iter  50 value 84.287076
iter  60 value 82.338201
iter  70 value 81.443705
iter  80 value 80.500179
iter  90 value 80.344642
iter 100 value 80.283993
final  value 80.283993 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 112.797939 
iter  10 value 98.102622
iter  20 value 93.041283
iter  30 value 90.018835
iter  40 value 85.442667
iter  50 value 84.292748
iter  60 value 83.376653
iter  70 value 82.913210
iter  80 value 82.874195
iter  90 value 82.583558
iter 100 value 82.408073
final  value 82.408073 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 112.559789 
iter  10 value 94.007132
iter  20 value 88.217835
iter  30 value 86.015622
iter  40 value 84.943933
iter  50 value 81.308675
iter  60 value 80.616074
iter  70 value 80.263723
iter  80 value 79.994719
iter  90 value 79.910360
iter 100 value 79.890963
final  value 79.890963 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 103.025941 
final  value 94.054592 
converged
Fitting Repeat 2 

# weights:  103
initial  value 104.916616 
final  value 94.054475 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.648599 
final  value 94.054569 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.488073 
final  value 94.054490 
converged
Fitting Repeat 5 

# weights:  103
initial  value 100.617641 
iter  10 value 94.054526
iter  20 value 94.052179
iter  30 value 90.464561
iter  40 value 90.001405
iter  50 value 89.644397
iter  60 value 89.636253
iter  70 value 89.635356
iter  80 value 84.888207
iter  90 value 84.763443
iter 100 value 84.454413
final  value 84.454413 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 95.482143 
iter  10 value 94.057967
iter  20 value 93.896827
iter  30 value 84.643896
iter  40 value 84.391543
iter  50 value 84.169532
iter  60 value 84.167630
iter  70 value 84.166915
iter  80 value 84.164666
final  value 84.164249 
converged
Fitting Repeat 2 

# weights:  305
initial  value 100.255805 
iter  10 value 94.057385
iter  20 value 93.969001
final  value 93.582618 
converged
Fitting Repeat 3 

# weights:  305
initial  value 116.204699 
iter  10 value 93.587658
iter  20 value 93.583065
iter  30 value 93.121214
iter  40 value 84.556422
iter  50 value 84.215548
iter  60 value 82.918704
iter  70 value 82.914637
iter  80 value 82.912244
iter  90 value 82.332117
iter 100 value 82.328896
final  value 82.328896 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 110.726382 
iter  10 value 94.057255
iter  20 value 93.734950
final  value 93.226551 
converged
Fitting Repeat 5 

# weights:  305
initial  value 99.040681 
iter  10 value 94.058245
iter  20 value 94.045488
iter  30 value 93.065672
final  value 93.056733 
converged
Fitting Repeat 1 

# weights:  507
initial  value 94.355596 
iter  10 value 94.059456
iter  20 value 94.011027
iter  30 value 85.968536
iter  40 value 85.346538
iter  50 value 82.610386
iter  60 value 82.312602
iter  70 value 82.311354
iter  80 value 82.310517
iter  90 value 82.309386
iter 100 value 82.308705
final  value 82.308705 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 113.033778 
iter  10 value 93.460507
iter  20 value 93.459096
iter  30 value 93.458184
iter  40 value 87.642567
iter  50 value 87.042561
iter  60 value 86.063739
final  value 86.040167 
converged
Fitting Repeat 3 

# weights:  507
initial  value 113.685460 
iter  10 value 93.590395
iter  20 value 93.569317
iter  30 value 93.473066
iter  40 value 93.472334
iter  50 value 92.372973
iter  60 value 85.719260
iter  70 value 85.398975
iter  80 value 83.607256
iter  90 value 81.198522
iter 100 value 81.117409
final  value 81.117409 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 97.192808 
iter  10 value 94.063311
iter  20 value 93.808821
iter  30 value 93.504878
iter  40 value 86.122316
iter  50 value 86.039474
iter  60 value 85.946381
iter  70 value 84.125050
iter  80 value 83.960465
iter  90 value 83.955867
final  value 83.955832 
converged
Fitting Repeat 5 

# weights:  507
initial  value 110.994499 
iter  10 value 93.590805
iter  20 value 93.584205
iter  30 value 93.094574
iter  40 value 89.411387
iter  50 value 87.235858
iter  60 value 86.718626
iter  70 value 84.221224
iter  80 value 82.719782
iter  90 value 82.258806
iter 100 value 82.251178
final  value 82.251178 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 97.642650 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 101.381185 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 102.611528 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 99.255827 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.581395 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 95.206795 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 95.693191 
final  value 94.467391 
converged
Fitting Repeat 3 

# weights:  305
initial  value 96.696129 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 96.275486 
iter  10 value 86.705838
iter  20 value 86.514977
iter  30 value 86.512750
final  value 86.512739 
converged
Fitting Repeat 5 

# weights:  305
initial  value 100.173838 
iter  10 value 94.430233
iter  10 value 94.430233
iter  10 value 94.430233
final  value 94.430233 
converged
Fitting Repeat 1 

# weights:  507
initial  value 98.361441 
iter  10 value 94.064368
iter  10 value 94.064368
iter  10 value 94.064368
final  value 94.064368 
converged
Fitting Repeat 2 

# weights:  507
initial  value 106.482729 
final  value 94.449438 
converged
Fitting Repeat 3 

# weights:  507
initial  value 104.043171 
final  value 94.252924 
converged
Fitting Repeat 4 

# weights:  507
initial  value 101.955304 
iter  10 value 89.702029
iter  20 value 87.951989
iter  30 value 87.936156
iter  40 value 87.856505
iter  50 value 87.855346
iter  50 value 87.855346
iter  50 value 87.855346
final  value 87.855346 
converged
Fitting Repeat 5 

# weights:  507
initial  value 95.491765 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  103
initial  value 103.562176 
iter  10 value 94.602299
iter  20 value 94.552351
iter  30 value 94.337899
iter  40 value 85.957686
iter  50 value 85.501231
iter  60 value 85.088535
iter  70 value 84.931918
iter  80 value 84.729168
iter  90 value 84.530702
final  value 84.530009 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.935700 
iter  10 value 94.488269
iter  20 value 93.971153
iter  30 value 93.209828
iter  40 value 92.185473
iter  50 value 88.783094
iter  60 value 86.296179
iter  70 value 85.884866
iter  80 value 85.206350
iter  90 value 84.527437
iter 100 value 84.043349
final  value 84.043349 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 105.127904 
iter  10 value 94.344379
iter  20 value 87.767094
iter  30 value 87.370737
iter  40 value 85.483268
iter  50 value 85.025477
iter  60 value 83.743109
iter  70 value 83.062510
iter  80 value 82.723607
iter  90 value 82.645254
final  value 82.645193 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.886263 
iter  10 value 94.496855
iter  20 value 92.173327
iter  30 value 85.864021
iter  40 value 85.345015
iter  50 value 85.240876
iter  60 value 84.397655
iter  70 value 83.036478
iter  80 value 82.645227
final  value 82.645193 
converged
Fitting Repeat 5 

# weights:  103
initial  value 106.153047 
iter  10 value 94.488287
iter  20 value 92.565529
iter  30 value 89.101181
iter  40 value 88.786314
iter  50 value 88.570150
iter  60 value 88.151500
iter  70 value 87.970004
iter  80 value 87.534336
iter  90 value 85.705313
iter 100 value 85.692553
final  value 85.692553 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 104.220836 
iter  10 value 94.462862
iter  20 value 94.263602
iter  30 value 92.475245
iter  40 value 92.051218
iter  50 value 91.965089
iter  60 value 91.329994
iter  70 value 90.413944
iter  80 value 85.543161
iter  90 value 83.270238
iter 100 value 82.532054
final  value 82.532054 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 119.091478 
iter  10 value 94.448584
iter  20 value 88.207536
iter  30 value 86.584627
iter  40 value 85.529729
iter  50 value 85.383088
iter  60 value 84.735847
iter  70 value 82.742833
iter  80 value 82.487252
iter  90 value 82.474649
iter 100 value 82.280821
final  value 82.280821 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 109.402312 
iter  10 value 94.052460
iter  20 value 88.482022
iter  30 value 86.732014
iter  40 value 86.298474
iter  50 value 85.993523
iter  60 value 85.699144
iter  70 value 84.113410
iter  80 value 82.207922
iter  90 value 81.879057
iter 100 value 81.779014
final  value 81.779014 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 106.224280 
iter  10 value 94.278999
iter  20 value 88.819792
iter  30 value 87.904466
iter  40 value 86.199582
iter  50 value 85.574974
iter  60 value 84.613293
iter  70 value 84.112939
iter  80 value 83.803407
iter  90 value 83.136044
iter 100 value 82.182998
final  value 82.182998 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 99.909580 
iter  10 value 94.432618
iter  20 value 89.646707
iter  30 value 87.356988
iter  40 value 85.529709
iter  50 value 84.785366
iter  60 value 84.381475
iter  70 value 84.249839
iter  80 value 84.051332
iter  90 value 83.218047
iter 100 value 82.053045
final  value 82.053045 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 109.585336 
iter  10 value 94.484418
iter  20 value 86.924333
iter  30 value 84.312463
iter  40 value 82.222722
iter  50 value 81.985899
iter  60 value 81.836535
iter  70 value 81.813424
iter  80 value 81.723777
iter  90 value 81.483005
iter 100 value 81.216674
final  value 81.216674 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 121.307528 
iter  10 value 94.399696
iter  20 value 89.041515
iter  30 value 87.009411
iter  40 value 85.795890
iter  50 value 84.536160
iter  60 value 82.721701
iter  70 value 81.526774
iter  80 value 81.446459
iter  90 value 81.257747
iter 100 value 81.093637
final  value 81.093637 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 103.852733 
iter  10 value 88.750012
iter  20 value 85.165753
iter  30 value 83.894467
iter  40 value 83.487835
iter  50 value 83.382953
iter  60 value 82.342664
iter  70 value 81.723581
iter  80 value 81.365142
iter  90 value 81.166401
iter 100 value 81.145047
final  value 81.145047 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 126.037981 
iter  10 value 95.836429
iter  20 value 87.466282
iter  30 value 86.384601
iter  40 value 85.556705
iter  50 value 85.230069
iter  60 value 84.727269
iter  70 value 84.580663
iter  80 value 84.060140
iter  90 value 83.192783
iter 100 value 81.732673
final  value 81.732673 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 108.146232 
iter  10 value 95.342873
iter  20 value 94.038058
iter  30 value 88.116480
iter  40 value 86.381435
iter  50 value 84.241473
iter  60 value 83.700048
iter  70 value 82.372799
iter  80 value 82.083045
iter  90 value 81.827340
iter 100 value 81.579208
final  value 81.579208 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 103.854954 
final  value 94.485928 
converged
Fitting Repeat 2 

# weights:  103
initial  value 104.472129 
final  value 94.485718 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.272204 
iter  10 value 94.433300
iter  20 value 94.431853
iter  30 value 94.431386
iter  40 value 93.955048
iter  50 value 93.947919
final  value 93.947911 
converged
Fitting Repeat 4 

# weights:  103
initial  value 102.954459 
final  value 94.485912 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.573777 
final  value 94.485893 
converged
Fitting Repeat 1 

# weights:  305
initial  value 94.875417 
iter  10 value 94.487868
final  value 94.467435 
converged
Fitting Repeat 2 

# weights:  305
initial  value 97.147713 
iter  10 value 94.472430
iter  20 value 94.470578
iter  30 value 94.466935
iter  40 value 94.014985
final  value 93.763277 
converged
Fitting Repeat 3 

# weights:  305
initial  value 102.508504 
iter  10 value 94.488999
iter  20 value 94.462508
iter  30 value 93.773458
iter  40 value 93.696247
iter  50 value 87.553307
iter  60 value 87.547137
iter  70 value 87.542302
final  value 87.541910 
converged
Fitting Repeat 4 

# weights:  305
initial  value 106.526744 
iter  10 value 94.472042
iter  20 value 94.062816
iter  30 value 87.111119
iter  40 value 86.136470
iter  50 value 86.048222
iter  60 value 84.294065
iter  70 value 82.691758
iter  80 value 81.826129
iter  90 value 81.803013
iter 100 value 81.801984
final  value 81.801984 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 114.655876 
iter  10 value 94.489462
iter  20 value 93.345301
iter  30 value 87.854812
final  value 87.213493 
converged
Fitting Repeat 1 

# weights:  507
initial  value 100.187997 
iter  10 value 94.491650
iter  20 value 94.387969
iter  30 value 86.163202
iter  40 value 85.601519
iter  50 value 82.572961
iter  60 value 82.198461
iter  70 value 82.153309
iter  80 value 82.125721
iter  90 value 81.872167
iter 100 value 81.840796
final  value 81.840796 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 98.996284 
iter  10 value 94.146741
iter  20 value 93.406133
iter  30 value 87.295349
iter  40 value 87.293715
iter  50 value 87.293045
iter  60 value 87.290313
iter  70 value 87.289776
iter  80 value 87.289627
iter  90 value 87.289123
iter 100 value 87.288723
final  value 87.288723 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 102.374237 
iter  10 value 94.490996
iter  20 value 92.136286
iter  30 value 87.300854
iter  40 value 87.296130
iter  50 value 87.212557
iter  60 value 87.201987
iter  70 value 85.103170
iter  80 value 84.384589
iter  90 value 84.238197
iter 100 value 84.236657
final  value 84.236657 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 113.611363 
iter  10 value 94.491863
iter  20 value 94.484495
iter  30 value 92.635164
iter  40 value 91.426421
iter  50 value 91.389121
iter  60 value 86.482388
iter  70 value 85.212180
iter  80 value 85.208458
iter  90 value 85.207120
iter 100 value 85.028577
final  value 85.028577 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 95.431790 
iter  10 value 94.475100
iter  20 value 94.470222
iter  30 value 92.220199
iter  40 value 87.374786
iter  50 value 87.329875
iter  60 value 87.320486
iter  70 value 87.320179
iter  70 value 87.320179
iter  70 value 87.320179
final  value 87.320179 
converged
Fitting Repeat 1 

# weights:  103
initial  value 106.847977 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 100.195128 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.363331 
iter  10 value 92.637296
iter  20 value 88.212171
final  value 88.212122 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.927188 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 102.741804 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 128.257257 
final  value 94.139368 
converged
Fitting Repeat 2 

# weights:  305
initial  value 105.784105 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 95.704302 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.519567 
iter  10 value 93.300000
iter  10 value 93.300000
iter  10 value 93.300000
final  value 93.300000 
converged
Fitting Repeat 5 

# weights:  305
initial  value 115.661718 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 105.006289 
iter  10 value 94.275362
iter  10 value 94.275362
iter  10 value 94.275362
final  value 94.275362 
converged
Fitting Repeat 2 

# weights:  507
initial  value 112.061017 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  507
initial  value 98.732085 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 96.753313 
iter  10 value 93.286219
iter  20 value 86.965504
final  value 86.961905 
converged
Fitting Repeat 5 

# weights:  507
initial  value 103.326773 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  103
initial  value 99.145063 
iter  10 value 94.486361
iter  20 value 94.135342
iter  30 value 87.676231
iter  40 value 87.101414
iter  50 value 86.845084
iter  60 value 83.911483
iter  70 value 83.170203
iter  80 value 83.161957
final  value 83.161938 
converged
Fitting Repeat 2 

# weights:  103
initial  value 120.503451 
iter  10 value 94.487056
iter  20 value 94.391992
iter  30 value 89.570879
iter  40 value 84.178327
iter  50 value 84.006176
iter  60 value 83.740090
iter  70 value 82.434147
iter  80 value 82.141204
final  value 82.140837 
converged
Fitting Repeat 3 

# weights:  103
initial  value 99.634490 
iter  10 value 94.486546
iter  20 value 94.143981
iter  30 value 94.118601
iter  40 value 94.104106
iter  50 value 88.485275
iter  60 value 88.133602
iter  70 value 85.135529
iter  80 value 82.739538
iter  90 value 82.339560
iter 100 value 82.305597
final  value 82.305597 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 103.662916 
iter  10 value 94.490356
iter  20 value 94.367731
iter  30 value 91.908311
iter  40 value 84.766347
iter  50 value 84.091453
iter  60 value 83.546802
iter  70 value 82.783424
iter  80 value 81.929677
iter  90 value 81.891880
final  value 81.891878 
converged
Fitting Repeat 5 

# weights:  103
initial  value 116.015455 
iter  10 value 94.366107
iter  20 value 86.059265
iter  30 value 85.470119
iter  40 value 83.519695
iter  50 value 82.641332
iter  60 value 82.401768
iter  70 value 80.459416
iter  80 value 80.144248
iter  90 value 80.086049
final  value 80.084775 
converged
Fitting Repeat 1 

# weights:  305
initial  value 102.607804 
iter  10 value 94.437020
iter  20 value 91.627692
iter  30 value 84.297430
iter  40 value 83.314391
iter  50 value 82.948512
iter  60 value 82.106416
iter  70 value 81.701919
iter  80 value 80.572563
iter  90 value 80.426951
iter 100 value 80.385511
final  value 80.385511 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 103.763766 
iter  10 value 94.433226
iter  20 value 89.197674
iter  30 value 88.026090
iter  40 value 83.477342
iter  50 value 80.562072
iter  60 value 79.989873
iter  70 value 79.424997
iter  80 value 78.979889
iter  90 value 78.823229
iter 100 value 78.735611
final  value 78.735611 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 100.157721 
iter  10 value 94.496455
iter  20 value 94.225903
iter  30 value 91.421351
iter  40 value 86.269534
iter  50 value 85.625606
iter  60 value 85.293795
iter  70 value 83.990686
iter  80 value 82.840970
iter  90 value 81.656404
iter 100 value 80.269773
final  value 80.269773 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 101.215533 
iter  10 value 94.122775
iter  20 value 86.840392
iter  30 value 86.534025
iter  40 value 86.407033
iter  50 value 84.863022
iter  60 value 82.850656
iter  70 value 82.802605
iter  80 value 82.581207
iter  90 value 80.173624
iter 100 value 79.486039
final  value 79.486039 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 122.648639 
iter  10 value 94.320344
iter  20 value 91.546945
iter  30 value 85.037011
iter  40 value 83.331502
iter  50 value 82.810704
iter  60 value 82.293008
iter  70 value 80.096946
iter  80 value 79.664369
iter  90 value 79.459269
iter 100 value 79.374455
final  value 79.374455 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 131.679151 
iter  10 value 94.603039
iter  20 value 90.092168
iter  30 value 84.174688
iter  40 value 82.112054
iter  50 value 81.008279
iter  60 value 80.539868
iter  70 value 79.345402
iter  80 value 78.829637
iter  90 value 78.624895
iter 100 value 78.536374
final  value 78.536374 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 127.643374 
iter  10 value 94.440447
iter  20 value 94.138747
iter  30 value 86.519611
iter  40 value 81.564111
iter  50 value 81.045843
iter  60 value 80.359765
iter  70 value 79.846038
iter  80 value 79.553332
iter  90 value 79.461715
iter 100 value 79.173870
final  value 79.173870 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 119.039360 
iter  10 value 94.879856
iter  20 value 91.279047
iter  30 value 86.444511
iter  40 value 83.752939
iter  50 value 82.278927
iter  60 value 79.870543
iter  70 value 79.492115
iter  80 value 79.200115
iter  90 value 78.989695
iter 100 value 78.913233
final  value 78.913233 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 135.671268 
iter  10 value 94.222257
iter  20 value 88.759386
iter  30 value 85.039130
iter  40 value 82.565392
iter  50 value 81.078299
iter  60 value 80.085460
iter  70 value 79.555823
iter  80 value 79.314797
iter  90 value 78.540638
iter 100 value 78.422227
final  value 78.422227 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 136.117744 
iter  10 value 94.342344
iter  20 value 88.987315
iter  30 value 86.023878
iter  40 value 83.773169
iter  50 value 82.664489
iter  60 value 81.189671
iter  70 value 81.101016
iter  80 value 80.352444
iter  90 value 79.379692
iter 100 value 79.095912
final  value 79.095912 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 94.955503 
final  value 94.485822 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.147003 
final  value 94.485769 
converged
Fitting Repeat 3 

# weights:  103
initial  value 105.645530 
final  value 94.486012 
converged
Fitting Repeat 4 

# weights:  103
initial  value 104.589024 
iter  10 value 94.485847
iter  20 value 94.484226
final  value 94.484213 
converged
Fitting Repeat 5 

# weights:  103
initial  value 115.568910 
final  value 94.486125 
converged
Fitting Repeat 1 

# weights:  305
initial  value 98.579622 
iter  10 value 94.489288
iter  20 value 94.398309
iter  30 value 90.453673
iter  40 value 85.171415
iter  50 value 85.115102
iter  60 value 85.104121
iter  70 value 85.088970
iter  80 value 85.082039
iter  90 value 85.079005
iter 100 value 85.074221
final  value 85.074221 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 108.563640 
iter  10 value 94.488970
iter  20 value 85.003842
iter  30 value 83.060610
final  value 83.006838 
converged
Fitting Repeat 3 

# weights:  305
initial  value 102.668446 
iter  10 value 94.489164
iter  20 value 94.482125
iter  30 value 92.347682
iter  40 value 92.301045
iter  50 value 87.729393
iter  60 value 86.143934
iter  70 value 86.110729
iter  80 value 84.596189
iter  90 value 84.561761
iter 100 value 84.555995
final  value 84.555995 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 111.883061 
iter  10 value 94.488105
iter  20 value 94.484229
final  value 94.484224 
converged
Fitting Repeat 5 

# weights:  305
initial  value 102.714204 
iter  10 value 94.489158
iter  20 value 94.484260
iter  30 value 94.282065
final  value 94.275457 
converged
Fitting Repeat 1 

# weights:  507
initial  value 104.522067 
iter  10 value 94.493848
iter  20 value 94.062313
iter  30 value 89.223803
iter  40 value 89.116498
iter  50 value 89.115873
final  value 89.115725 
converged
Fitting Repeat 2 

# weights:  507
initial  value 119.152428 
iter  10 value 94.489925
iter  20 value 94.069657
iter  30 value 86.021991
iter  40 value 85.909131
final  value 85.909126 
converged
Fitting Repeat 3 

# weights:  507
initial  value 104.365259 
iter  10 value 94.491929
iter  20 value 94.469010
iter  30 value 86.142536
iter  40 value 85.063118
iter  50 value 85.032460
iter  60 value 84.335119
iter  70 value 83.390441
iter  80 value 83.361964
iter  90 value 83.356449
final  value 83.354412 
converged
Fitting Repeat 4 

# weights:  507
initial  value 116.423883 
iter  10 value 94.493358
iter  20 value 94.235103
iter  30 value 93.302203
iter  40 value 93.296802
iter  50 value 88.793089
iter  60 value 88.786981
iter  70 value 88.476001
iter  80 value 88.392402
iter  90 value 88.387616
final  value 88.383786 
converged
Fitting Repeat 5 

# weights:  507
initial  value 106.398538 
iter  10 value 94.491747
iter  20 value 93.112218
iter  30 value 84.509186
iter  40 value 82.753271
iter  50 value 82.729220
iter  60 value 82.414555
iter  70 value 82.098262
iter  80 value 82.091114
final  value 82.078584 
converged
Fitting Repeat 1 

# weights:  507
initial  value 130.798047 
iter  10 value 118.824152
iter  20 value 109.857825
iter  30 value 108.248796
iter  40 value 105.603336
iter  50 value 105.103281
iter  60 value 104.866591
iter  70 value 103.190875
iter  80 value 102.105835
iter  90 value 101.779700
iter 100 value 101.493130
final  value 101.493130 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 129.054764 
iter  10 value 117.982962
iter  20 value 108.020650
iter  30 value 107.800687
iter  40 value 106.943128
iter  50 value 105.229847
iter  60 value 103.392141
iter  70 value 101.972038
iter  80 value 101.364064
iter  90 value 100.861907
iter 100 value 100.288004
final  value 100.288004 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 142.375542 
iter  10 value 117.617681
iter  20 value 109.388008
iter  30 value 107.032126
iter  40 value 106.361445
iter  50 value 105.365128
iter  60 value 104.943703
iter  70 value 104.832423
iter  80 value 104.768782
iter  90 value 104.324838
iter 100 value 102.614584
final  value 102.614584 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 141.612782 
iter  10 value 118.033967
iter  20 value 111.537281
iter  30 value 108.510504
iter  40 value 104.912811
iter  50 value 103.672230
iter  60 value 103.020930
iter  70 value 102.426428
iter  80 value 101.694250
iter  90 value 101.315819
iter 100 value 100.996064
final  value 100.996064 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 166.866404 
iter  10 value 119.260361
iter  20 value 117.395310
iter  30 value 111.817001
iter  40 value 111.494314
iter  50 value 109.571855
iter  60 value 104.610929
iter  70 value 104.197474
iter  80 value 104.042405
iter  90 value 103.864601
iter 100 value 103.513753
final  value 103.513753 
stopped after 100 iterations
svmRadial
ranger
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases


RUNIT TEST PROTOCOL -- Fri May 31 07:30:20 2024 
*********************************************** 
Number of test functions: 7 
Number of errors: 0 
Number of failures: 0 

 
1 Test Suite : 
HPiP RUnit Tests - 7 test functions, 0 errors, 0 failures
Number of test functions: 7 
Number of errors: 0 
Number of failures: 0 
Warning messages:
1: `repeats` has no meaning for this resampling method. 
2: executing %dopar% sequentially: no parallel backend registered 
> 
> 
> 
> 
> proc.time()
   user  system elapsed 
  46.93    1.75   48.17