##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.23-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.23-bioc/R/site-library --timings HPiP_1.17.2.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.23-bioc/meat/HPiP.Rcheck’
* using R Under development (unstable) (2026-03-05 r89546)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
    GNU Fortran (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
* running under: Ubuntu 24.04.4 LTS
* using session charset: UTF-8
* current time: 2026-03-10 04:04:27 UTC
* checking for file ‘HPiP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘HPiP’ version ‘1.17.2’
* 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 for sufficient/correct file permissions ... 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 loading without being on the library search path ... 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 ... INFO
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
corr_plot     35.199  0.484  35.714
var_imp       33.834  0.496  34.335
FSmethod      33.283  0.581  33.897
pred_ensembel 12.923  0.160  11.767
enrichfindP    0.590  0.040  10.557
* 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 re-building of vignette outputs ... OK
* checking PDF version of manual ... OK
* DONE

Status: 2 NOTEs
See
  ‘/home/biocbuild/bbs-3.23-bioc/meat/HPiP.Rcheck/00check.log’
for details.

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.23-bioc/R/bin/R CMD INSTALL HPiP
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/bbs-3.23-bioc/R/site-library’
* installing *source* package ‘HPiP’ ...
** this is package ‘HPiP’ version ‘1.17.2’
** 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 Under development (unstable) (2026-03-05 r89546) -- "Unsuffered Consequences"
Copyright (C) 2026 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu

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 99.284046 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.037482 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 99.203894 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 100.448468 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 103.631965 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 113.629259 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 107.464936 
iter  10 value 93.672991
final  value 93.672973 
converged
Fitting Repeat 3 

# weights:  305
initial  value 104.568509 
iter  10 value 93.991526
iter  10 value 93.991525
iter  10 value 93.991525
final  value 93.991525 
converged
Fitting Repeat 4 

# weights:  305
initial  value 94.348039 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 118.912888 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  507
initial  value 107.378108 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  507
initial  value 99.539303 
iter  10 value 93.599522
final  value 93.599230 
converged
Fitting Repeat 3 

# weights:  507
initial  value 110.058970 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  507
initial  value 98.358643 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  507
initial  value 108.950139 
iter  10 value 93.447371
final  value 93.401473 
converged
Fitting Repeat 1 

# weights:  103
initial  value 97.837703 
iter  10 value 94.114272
iter  20 value 93.609830
iter  30 value 93.584159
iter  40 value 93.221297
iter  50 value 89.713546
iter  60 value 87.270675
iter  70 value 83.808883
iter  80 value 83.018917
iter  90 value 82.722417
iter 100 value 82.650737
final  value 82.650737 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 100.834828 
iter  10 value 94.028979
iter  20 value 88.597273
iter  30 value 84.446606
iter  40 value 83.842747
iter  50 value 83.631193
iter  60 value 81.317921
iter  70 value 80.061667
iter  80 value 80.009737
iter  90 value 80.006033
iter  90 value 80.006032
iter  90 value 80.006032
final  value 80.006032 
converged
Fitting Repeat 3 

# weights:  103
initial  value 101.443097 
iter  10 value 94.081355
iter  20 value 88.795774
iter  30 value 84.788835
iter  40 value 83.652160
iter  50 value 83.128806
iter  60 value 83.105104
iter  70 value 83.104758
final  value 83.104581 
converged
Fitting Repeat 4 

# weights:  103
initial  value 104.290532 
iter  10 value 94.031033
iter  20 value 93.406391
iter  30 value 93.363332
iter  40 value 93.305175
iter  50 value 92.440509
iter  60 value 90.133967
iter  70 value 84.106324
iter  80 value 83.470353
iter  90 value 83.430981
iter 100 value 83.386350
final  value 83.386350 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 110.644837 
iter  10 value 100.295515
iter  20 value 94.056866
iter  30 value 93.856549
iter  40 value 91.270465
iter  50 value 86.937979
iter  60 value 86.053027
iter  70 value 83.452393
iter  80 value 82.933304
iter  90 value 82.790586
iter 100 value 82.663064
final  value 82.663064 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 100.516694 
iter  10 value 94.267771
iter  20 value 93.870457
iter  30 value 90.243094
iter  40 value 85.949354
iter  50 value 85.163135
iter  60 value 81.193174
iter  70 value 80.114009
iter  80 value 79.838688
iter  90 value 79.512315
iter 100 value 79.249829
final  value 79.249829 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 110.169845 
iter  10 value 94.164867
iter  20 value 93.717025
iter  30 value 88.126475
iter  40 value 87.727889
iter  50 value 86.862844
iter  60 value 84.182001
iter  70 value 83.103601
iter  80 value 82.969175
iter  90 value 82.911065
iter 100 value 82.833299
final  value 82.833299 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 104.424970 
iter  10 value 94.059490
iter  20 value 92.698925
iter  30 value 88.747058
iter  40 value 88.026086
iter  50 value 86.857278
iter  60 value 82.024821
iter  70 value 81.456482
iter  80 value 81.166485
iter  90 value 80.802279
iter 100 value 79.180148
final  value 79.180148 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 113.037278 
iter  10 value 94.125576
iter  20 value 94.053469
iter  30 value 88.556859
iter  40 value 84.893358
iter  50 value 83.322029
iter  60 value 82.846452
iter  70 value 81.477654
iter  80 value 80.607348
iter  90 value 79.147591
iter 100 value 78.649542
final  value 78.649542 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 104.778376 
iter  10 value 94.030111
iter  20 value 90.903156
iter  30 value 86.242134
iter  40 value 86.097817
iter  50 value 83.324332
iter  60 value 82.724522
iter  70 value 82.695412
iter  80 value 82.278126
iter  90 value 81.504657
iter 100 value 81.170845
final  value 81.170845 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 118.911477 
iter  10 value 94.043262
iter  20 value 90.907959
iter  30 value 88.610635
iter  40 value 84.752939
iter  50 value 81.872320
iter  60 value 79.784114
iter  70 value 79.206689
iter  80 value 78.923558
iter  90 value 78.576008
iter 100 value 78.350046
final  value 78.350046 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 115.207301 
iter  10 value 93.553173
iter  20 value 84.377884
iter  30 value 81.740446
iter  40 value 80.828541
iter  50 value 80.149260
iter  60 value 78.972354
iter  70 value 78.605801
iter  80 value 78.453742
iter  90 value 78.228030
iter 100 value 78.141113
final  value 78.141113 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 117.835695 
iter  10 value 97.380406
iter  20 value 93.113257
iter  30 value 85.498197
iter  40 value 80.808099
iter  50 value 79.703568
iter  60 value 78.745171
iter  70 value 78.391716
iter  80 value 78.252757
iter  90 value 77.960744
iter 100 value 77.890299
final  value 77.890299 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 120.954596 
iter  10 value 93.759811
iter  20 value 93.483790
iter  30 value 86.722481
iter  40 value 85.330556
iter  50 value 84.228098
iter  60 value 82.442516
iter  70 value 80.405857
iter  80 value 80.021056
iter  90 value 79.407539
iter 100 value 79.171000
final  value 79.171000 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 103.528903 
iter  10 value 93.845498
iter  20 value 86.971891
iter  30 value 85.566664
iter  40 value 82.832113
iter  50 value 81.514240
iter  60 value 79.683723
iter  70 value 78.918693
iter  80 value 78.850672
iter  90 value 78.819169
iter 100 value 78.761455
final  value 78.761455 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 95.298104 
iter  10 value 93.924399
iter  20 value 93.861508
iter  30 value 93.844563
final  value 93.844292 
converged
Fitting Repeat 2 

# weights:  103
initial  value 94.408579 
final  value 94.054739 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.478348 
final  value 94.054694 
converged
Fitting Repeat 4 

# weights:  103
initial  value 94.548733 
final  value 94.054779 
converged
Fitting Repeat 5 

# weights:  103
initial  value 99.847901 
iter  10 value 94.054665
iter  20 value 94.052901
iter  30 value 93.538270
iter  40 value 93.465930
final  value 93.387311 
converged
Fitting Repeat 1 

# weights:  305
initial  value 100.889163 
iter  10 value 94.057603
iter  20 value 93.792461
iter  30 value 89.841190
iter  40 value 89.380250
iter  50 value 89.378301
iter  60 value 89.372635
iter  70 value 89.366394
iter  80 value 89.329766
iter  90 value 85.574093
iter 100 value 82.639630
final  value 82.639630 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 98.400207 
iter  10 value 94.057865
iter  20 value 94.052969
iter  30 value 92.613545
iter  40 value 91.761958
iter  50 value 87.644337
iter  60 value 85.446315
iter  70 value 85.028626
iter  80 value 85.026994
final  value 85.026980 
converged
Fitting Repeat 3 

# weights:  305
initial  value 106.149984 
iter  10 value 94.057320
iter  20 value 93.651938
iter  30 value 89.734618
iter  40 value 88.928038
iter  50 value 88.770703
iter  60 value 88.757147
iter  70 value 88.618246
iter  80 value 88.601676
iter  80 value 88.601676
final  value 88.601674 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.517477 
iter  10 value 94.057144
iter  20 value 93.607925
final  value 93.599863 
converged
Fitting Repeat 5 

# weights:  305
initial  value 96.064801 
iter  10 value 94.057577
iter  20 value 94.042027
iter  30 value 90.795032
iter  40 value 86.114917
iter  50 value 83.817143
iter  60 value 79.866128
iter  70 value 78.395307
iter  80 value 78.160285
iter  90 value 78.155765
iter 100 value 78.155167
final  value 78.155167 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 99.359997 
iter  10 value 94.061034
iter  20 value 86.767183
iter  30 value 86.200385
iter  40 value 85.996173
final  value 85.981110 
converged
Fitting Repeat 2 

# weights:  507
initial  value 114.091656 
iter  10 value 93.680910
iter  20 value 93.675619
iter  30 value 93.417709
iter  40 value 93.409114
final  value 93.409079 
converged
Fitting Repeat 3 

# weights:  507
initial  value 99.496663 
iter  10 value 93.999962
iter  20 value 93.960765
iter  30 value 93.863780
iter  40 value 93.861870
final  value 93.861704 
converged
Fitting Repeat 4 

# weights:  507
initial  value 95.432261 
iter  10 value 93.389024
iter  20 value 93.361287
iter  30 value 93.358914
iter  40 value 90.751348
iter  50 value 89.671584
iter  60 value 82.659088
iter  70 value 81.545150
iter  80 value 80.783558
iter  90 value 79.638126
iter 100 value 79.527569
final  value 79.527569 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 103.827088 
iter  10 value 94.059747
iter  20 value 93.760225
iter  30 value 93.205639
iter  40 value 93.197004
iter  40 value 93.197003
iter  40 value 93.197003
final  value 93.197003 
converged
Fitting Repeat 1 

# weights:  103
initial  value 98.684776 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.060375 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.550449 
iter  10 value 85.844223
final  value 85.759473 
converged
Fitting Repeat 4 

# weights:  103
initial  value 102.756863 
final  value 93.836066 
converged
Fitting Repeat 5 

# weights:  103
initial  value 101.035044 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 111.514682 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 99.934586 
final  value 93.810010 
converged
Fitting Repeat 3 

# weights:  305
initial  value 111.463837 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  305
initial  value 99.799860 
final  value 93.836066 
converged
Fitting Repeat 5 

# weights:  305
initial  value 104.620664 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  507
initial  value 108.239911 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  507
initial  value 102.182679 
final  value 92.892737 
converged
Fitting Repeat 3 

# weights:  507
initial  value 99.067430 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  507
initial  value 100.862609 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  507
initial  value 101.360726 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  103
initial  value 96.182970 
iter  10 value 94.089128
iter  20 value 90.963197
iter  30 value 86.964741
iter  40 value 86.477125
iter  50 value 86.404102
iter  60 value 86.276874
iter  70 value 85.871894
iter  80 value 85.740863
final  value 85.740745 
converged
Fitting Repeat 2 

# weights:  103
initial  value 102.861913 
iter  10 value 87.397922
iter  20 value 86.718753
iter  30 value 86.388581
iter  40 value 86.153571
iter  50 value 86.149696
final  value 86.149690 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.964456 
iter  10 value 94.063077
iter  20 value 93.992458
iter  30 value 89.163179
iter  40 value 88.111603
iter  50 value 86.750037
iter  60 value 86.129833
iter  70 value 86.013615
iter  80 value 86.000979
iter  90 value 85.829489
iter 100 value 85.747425
final  value 85.747425 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 123.682169 
iter  10 value 93.702815
iter  20 value 90.165586
iter  30 value 88.678839
iter  40 value 87.963482
iter  50 value 87.602339
iter  60 value 87.356104
iter  70 value 86.955179
iter  80 value 86.825677
iter  90 value 86.688626
final  value 86.688619 
converged
Fitting Repeat 5 

# weights:  103
initial  value 113.187356 
iter  10 value 93.482499
iter  20 value 92.677097
iter  30 value 87.153032
iter  40 value 86.739302
iter  50 value 85.932275
iter  60 value 84.988758
iter  70 value 84.867131
final  value 84.861185 
converged
Fitting Repeat 1 

# weights:  305
initial  value 122.786104 
iter  10 value 94.811498
iter  20 value 94.050489
iter  30 value 89.224158
iter  40 value 87.479066
iter  50 value 86.296789
iter  60 value 84.824219
iter  70 value 84.446466
iter  80 value 84.135065
iter  90 value 83.761373
iter 100 value 83.501366
final  value 83.501366 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 100.212677 
iter  10 value 88.581513
iter  20 value 86.478236
iter  30 value 85.945994
iter  40 value 85.908326
iter  50 value 85.588038
iter  60 value 84.733001
iter  70 value 84.189711
iter  80 value 83.618209
iter  90 value 83.559039
iter 100 value 83.416567
final  value 83.416567 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 101.506885 
iter  10 value 94.397331
iter  20 value 94.069657
iter  30 value 93.994373
iter  40 value 93.824190
iter  50 value 93.727825
iter  60 value 88.473620
iter  70 value 87.085059
iter  80 value 86.772580
iter  90 value 86.552878
iter 100 value 86.435598
final  value 86.435598 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 106.332288 
iter  10 value 92.767572
iter  20 value 87.096160
iter  30 value 86.767843
iter  40 value 86.542959
iter  50 value 86.387105
iter  60 value 85.714555
iter  70 value 85.100657
iter  80 value 84.588858
iter  90 value 84.332678
iter 100 value 84.130197
final  value 84.130197 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 99.073163 
iter  10 value 94.021773
iter  20 value 91.786680
iter  30 value 89.920491
iter  40 value 89.017500
iter  50 value 86.189603
iter  60 value 84.689978
iter  70 value 83.906201
iter  80 value 83.260199
iter  90 value 83.003016
iter 100 value 82.972462
final  value 82.972462 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 119.140607 
iter  10 value 94.724667
iter  20 value 88.974222
iter  30 value 87.349305
iter  40 value 85.814994
iter  50 value 85.479140
iter  60 value 85.246906
iter  70 value 85.020039
iter  80 value 84.709835
iter  90 value 84.429133
iter 100 value 84.197400
final  value 84.197400 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.021440 
iter  10 value 94.322450
iter  20 value 92.398772
iter  30 value 87.594277
iter  40 value 86.188010
iter  50 value 85.023323
iter  60 value 84.501076
iter  70 value 83.967946
iter  80 value 83.652158
iter  90 value 83.367442
iter 100 value 83.344285
final  value 83.344285 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 116.221015 
iter  10 value 94.393891
iter  20 value 92.280040
iter  30 value 90.992818
iter  40 value 87.474113
iter  50 value 85.880387
iter  60 value 84.977119
iter  70 value 84.780709
iter  80 value 83.913656
iter  90 value 83.345123
iter 100 value 83.035629
final  value 83.035629 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 103.920829 
iter  10 value 94.148417
iter  20 value 89.393917
iter  30 value 86.957025
iter  40 value 85.879389
iter  50 value 85.161422
iter  60 value 84.304001
iter  70 value 83.690919
iter  80 value 83.103807
iter  90 value 82.944165
iter 100 value 82.918763
final  value 82.918763 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 114.785280 
iter  10 value 94.222918
iter  20 value 93.980530
iter  30 value 93.264774
iter  40 value 91.042017
iter  50 value 90.184157
iter  60 value 87.996337
iter  70 value 86.983651
iter  80 value 86.804167
iter  90 value 85.149629
iter 100 value 84.176211
final  value 84.176211 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 99.506015 
final  value 94.054520 
converged
Fitting Repeat 2 

# weights:  103
initial  value 100.176799 
final  value 94.054500 
converged
Fitting Repeat 3 

# weights:  103
initial  value 99.567987 
iter  10 value 94.054452
iter  20 value 94.052928
iter  30 value 93.825565
iter  40 value 92.620453
iter  50 value 92.484100
iter  60 value 92.483555
final  value 92.483542 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.195422 
final  value 94.055440 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.915088 
final  value 94.054839 
converged
Fitting Repeat 1 

# weights:  305
initial  value 95.213987 
iter  10 value 94.057593
iter  20 value 94.052928
iter  30 value 93.510163
iter  40 value 88.002716
iter  50 value 87.939204
final  value 87.939037 
converged
Fitting Repeat 2 

# weights:  305
initial  value 113.094243 
iter  10 value 86.951075
iter  20 value 86.930984
iter  30 value 86.930158
iter  40 value 86.929776
iter  50 value 86.214198
iter  60 value 85.217727
iter  70 value 84.966127
iter  80 value 84.949829
iter  90 value 84.949463
final  value 84.948056 
converged
Fitting Repeat 3 

# weights:  305
initial  value 120.654736 
iter  10 value 93.996052
iter  20 value 85.983610
iter  30 value 85.980380
iter  40 value 84.612667
iter  50 value 82.712004
iter  60 value 82.057028
iter  70 value 82.017649
iter  80 value 82.014091
iter  90 value 82.013886
iter 100 value 82.013767
final  value 82.013767 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 98.694255 
iter  10 value 93.840936
iter  20 value 93.810713
iter  30 value 87.085833
final  value 86.931353 
converged
Fitting Repeat 5 

# weights:  305
initial  value 102.605123 
iter  10 value 94.057339
iter  20 value 94.052930
iter  20 value 94.052930
iter  20 value 94.052930
final  value 94.052930 
converged
Fitting Repeat 1 

# weights:  507
initial  value 99.593065 
iter  10 value 94.061140
iter  20 value 93.836494
final  value 93.836439 
converged
Fitting Repeat 2 

# weights:  507
initial  value 102.454623 
iter  10 value 94.060940
iter  20 value 93.899877
iter  30 value 93.407110
iter  40 value 87.960526
iter  50 value 84.604388
iter  60 value 84.554775
iter  70 value 83.958598
iter  80 value 83.951593
final  value 83.951543 
converged
Fitting Repeat 3 

# weights:  507
initial  value 108.161587 
iter  10 value 94.061070
iter  20 value 94.030770
iter  30 value 92.692182
iter  40 value 92.508718
iter  50 value 92.301148
iter  60 value 91.084796
iter  70 value 87.867952
iter  80 value 85.906433
iter  90 value 85.177699
iter 100 value 85.143477
final  value 85.143477 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 108.895536 
iter  10 value 93.794013
iter  20 value 93.788360
final  value 93.786701 
converged
Fitting Repeat 5 

# weights:  507
initial  value 106.523300 
iter  10 value 93.287441
iter  20 value 92.702889
iter  30 value 92.696840
final  value 92.696206 
converged
Fitting Repeat 1 

# weights:  103
initial  value 100.014316 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.308583 
final  value 94.322898 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.219269 
final  value 94.354396 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.557489 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 96.340407 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 96.147950 
iter  10 value 93.837684
iter  20 value 91.108663
final  value 87.590732 
converged
Fitting Repeat 2 

# weights:  305
initial  value 102.956617 
iter  10 value 88.997620
iter  20 value 84.986519
iter  30 value 84.156807
iter  40 value 83.896552
iter  50 value 83.689007
iter  60 value 83.590425
final  value 83.590077 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.400833 
final  value 93.809648 
converged
Fitting Repeat 4 

# weights:  305
initial  value 98.883741 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 101.303712 
final  value 94.354394 
converged
Fitting Repeat 1 

# weights:  507
initial  value 103.684541 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  507
initial  value 112.645467 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  507
initial  value 98.195064 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 98.902853 
iter  10 value 93.127927
iter  20 value 93.052122
final  value 93.051899 
converged
Fitting Repeat 5 

# weights:  507
initial  value 96.238037 
iter  10 value 93.809747
iter  20 value 93.305299
iter  30 value 93.283356
final  value 93.283334 
converged
Fitting Repeat 1 

# weights:  103
initial  value 103.415119 
iter  10 value 94.488659
iter  20 value 94.389189
iter  30 value 93.692996
iter  40 value 90.630194
iter  50 value 88.346693
iter  60 value 88.295243
iter  70 value 86.543788
iter  80 value 83.792700
iter  90 value 82.341442
iter 100 value 81.270738
final  value 81.270738 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 99.915483 
iter  10 value 94.377506
iter  20 value 89.091132
iter  30 value 86.106856
iter  40 value 85.660238
iter  50 value 82.792112
iter  60 value 80.596632
iter  70 value 80.572397
iter  80 value 80.570497
iter  90 value 80.570165
final  value 80.570135 
converged
Fitting Repeat 3 

# weights:  103
initial  value 123.254122 
iter  10 value 94.281755
iter  20 value 89.639628
iter  30 value 87.246002
iter  40 value 85.911367
iter  50 value 84.911912
iter  60 value 84.797460
iter  70 value 84.794955
iter  80 value 84.794707
final  value 84.794565 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.562815 
iter  10 value 94.436086
iter  20 value 90.643588
iter  30 value 89.399411
iter  40 value 84.077099
iter  50 value 81.865512
iter  60 value 81.492146
iter  70 value 80.957200
iter  80 value 80.418477
iter  90 value 80.273777
final  value 80.263821 
converged
Fitting Repeat 5 

# weights:  103
initial  value 106.142111 
iter  10 value 94.488859
iter  20 value 88.974116
iter  30 value 83.759528
iter  40 value 82.181376
iter  50 value 82.068676
iter  60 value 81.404495
iter  70 value 80.645242
iter  80 value 80.488899
iter  90 value 80.450586
iter 100 value 80.318653
final  value 80.318653 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 103.486118 
iter  10 value 94.260133
iter  20 value 92.082578
iter  30 value 84.683591
iter  40 value 83.945275
iter  50 value 83.437642
iter  60 value 81.598879
iter  70 value 80.826981
iter  80 value 80.793186
iter  90 value 80.760938
iter 100 value 80.670215
final  value 80.670215 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 113.133210 
iter  10 value 95.195774
iter  20 value 89.455336
iter  30 value 82.723000
iter  40 value 80.673823
iter  50 value 80.417946
iter  60 value 80.329046
iter  70 value 80.160149
iter  80 value 79.923987
iter  90 value 79.483560
iter 100 value 79.104918
final  value 79.104918 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 101.629427 
iter  10 value 94.467693
iter  20 value 88.270319
iter  30 value 85.882125
iter  40 value 85.817049
iter  50 value 85.176006
iter  60 value 83.338362
iter  70 value 80.764253
iter  80 value 80.308010
iter  90 value 79.748833
iter 100 value 79.630500
final  value 79.630500 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 100.381293 
iter  10 value 94.361770
iter  20 value 86.942536
iter  30 value 85.883918
iter  40 value 85.506560
iter  50 value 83.179409
iter  60 value 82.546063
iter  70 value 81.590932
iter  80 value 81.466763
iter  90 value 81.099828
iter 100 value 80.843436
final  value 80.843436 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 116.101633 
iter  10 value 94.772135
iter  20 value 90.646337
iter  30 value 85.636008
iter  40 value 83.730630
iter  50 value 82.125102
iter  60 value 81.940714
iter  70 value 81.111603
iter  80 value 79.833745
iter  90 value 79.481733
iter 100 value 79.197176
final  value 79.197176 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 109.968861 
iter  10 value 93.563285
iter  20 value 86.215881
iter  30 value 85.913284
iter  40 value 81.132195
iter  50 value 80.536373
iter  60 value 80.247226
iter  70 value 79.971014
iter  80 value 79.770475
iter  90 value 79.639852
iter 100 value 79.605515
final  value 79.605515 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 110.862902 
iter  10 value 94.635532
iter  20 value 91.571284
iter  30 value 85.745280
iter  40 value 85.534116
iter  50 value 84.562251
iter  60 value 83.646826
iter  70 value 81.274620
iter  80 value 80.293906
iter  90 value 79.793973
iter 100 value 79.666583
final  value 79.666583 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 124.811061 
iter  10 value 101.671207
iter  20 value 94.974659
iter  30 value 88.938239
iter  40 value 85.291825
iter  50 value 84.817687
iter  60 value 84.630708
iter  70 value 83.384072
iter  80 value 81.377671
iter  90 value 80.888109
iter 100 value 80.740848
final  value 80.740848 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 116.044139 
iter  10 value 94.513416
iter  20 value 93.520944
iter  30 value 88.739125
iter  40 value 87.096729
iter  50 value 85.362886
iter  60 value 84.680508
iter  70 value 84.252144
iter  80 value 81.632308
iter  90 value 81.183764
iter 100 value 80.546274
final  value 80.546274 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 123.327229 
iter  10 value 94.252832
iter  20 value 85.976496
iter  30 value 85.111563
iter  40 value 81.373969
iter  50 value 80.812610
iter  60 value 80.498124
iter  70 value 80.245553
iter  80 value 79.395505
iter  90 value 79.304925
iter 100 value 79.226251
final  value 79.226251 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 103.421839 
final  value 94.486069 
converged
Fitting Repeat 2 

# weights:  103
initial  value 105.780393 
iter  10 value 94.486244
iter  20 value 94.479845
iter  30 value 94.165853
iter  30 value 94.165853
iter  30 value 94.165852
final  value 94.165852 
converged
Fitting Repeat 3 

# weights:  103
initial  value 108.411132 
final  value 94.485869 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.461589 
final  value 94.485843 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.219897 
final  value 94.485844 
converged
Fitting Repeat 1 

# weights:  305
initial  value 118.771424 
iter  10 value 94.489079
iter  20 value 94.272795
iter  30 value 93.368464
iter  40 value 93.283312
iter  50 value 87.384009
iter  60 value 87.183055
iter  70 value 86.568766
iter  80 value 86.327319
iter  90 value 83.150480
iter 100 value 80.242027
final  value 80.242027 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 97.379134 
iter  10 value 94.170403
iter  20 value 94.159251
iter  30 value 92.188625
iter  40 value 83.044297
iter  50 value 83.026155
final  value 83.026136 
converged
Fitting Repeat 3 

# weights:  305
initial  value 99.874958 
iter  10 value 94.489156
iter  20 value 94.474973
iter  30 value 88.629322
iter  40 value 87.746633
iter  50 value 87.742907
iter  60 value 87.742378
iter  70 value 84.968972
iter  80 value 84.966762
iter  90 value 84.966188
iter  90 value 84.966187
iter  90 value 84.966187
final  value 84.966187 
converged
Fitting Repeat 4 

# weights:  305
initial  value 98.984487 
iter  10 value 93.976371
iter  20 value 92.976470
iter  30 value 87.045654
iter  40 value 87.038425
iter  50 value 86.976962
iter  60 value 86.596253
iter  70 value 86.585185
iter  80 value 86.353808
final  value 86.353715 
converged
Fitting Repeat 5 

# weights:  305
initial  value 93.838050 
iter  10 value 91.588223
iter  20 value 91.554397
iter  30 value 91.552516
iter  40 value 90.825169
iter  50 value 90.765292
final  value 90.764499 
converged
Fitting Repeat 1 

# weights:  507
initial  value 110.517921 
iter  10 value 94.386504
iter  20 value 94.362982
iter  30 value 94.338085
iter  40 value 84.934344
iter  50 value 83.636709
iter  60 value 81.662163
iter  70 value 81.460351
iter  80 value 81.454962
iter  90 value 81.454144
iter 100 value 81.409704
final  value 81.409704 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 96.444527 
iter  10 value 94.362156
iter  20 value 94.355585
iter  30 value 93.917275
iter  40 value 86.477032
iter  50 value 86.271621
iter  60 value 86.251645
iter  70 value 86.250571
final  value 86.250466 
converged
Fitting Repeat 3 

# weights:  507
initial  value 107.834357 
iter  10 value 94.362623
iter  20 value 94.068329
iter  30 value 93.687553
iter  40 value 93.533285
iter  50 value 85.772308
iter  60 value 79.467383
iter  70 value 78.423651
iter  80 value 78.211047
iter  90 value 78.172056
iter 100 value 78.042432
final  value 78.042432 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 95.918940 
iter  10 value 94.486262
iter  20 value 94.186232
iter  30 value 88.726153
iter  40 value 86.478809
final  value 86.353170 
converged
Fitting Repeat 5 

# weights:  507
initial  value 95.316419 
iter  10 value 94.492473
iter  20 value 93.483352
iter  30 value 93.164152
iter  40 value 85.588194
iter  50 value 84.734724
iter  60 value 84.708177
iter  70 value 84.707527
iter  80 value 84.707399
iter  90 value 84.532234
iter 100 value 81.698104
final  value 81.698104 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 97.910184 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 101.759596 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 99.027357 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.243101 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 96.169962 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 102.145066 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 97.542607 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 97.906807 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 120.119756 
iter  10 value 94.484211
iter  10 value 94.484211
iter  10 value 94.484211
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 108.124758 
iter  10 value 77.962850
iter  20 value 77.806632
iter  30 value 77.803940
final  value 77.803932 
converged
Fitting Repeat 1 

# weights:  507
initial  value 100.960049 
final  value 94.330997 
converged
Fitting Repeat 2 

# weights:  507
initial  value 111.751080 
iter  10 value 94.427841
iter  20 value 94.376534
final  value 94.374883 
converged
Fitting Repeat 3 

# weights:  507
initial  value 124.163163 
iter  10 value 94.388015
iter  20 value 93.353948
iter  30 value 91.421364
iter  40 value 77.820849
iter  50 value 77.793338
iter  60 value 77.787829
final  value 77.787733 
converged
Fitting Repeat 4 

# weights:  507
initial  value 102.387642 
final  value 94.466823 
converged
Fitting Repeat 5 

# weights:  507
initial  value 109.508461 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  103
initial  value 99.601679 
iter  10 value 94.490892
iter  20 value 88.963186
iter  30 value 86.680101
iter  40 value 80.629142
iter  50 value 79.596059
iter  60 value 79.484267
iter  70 value 79.430758
iter  80 value 79.327281
iter  90 value 79.261492
iter 100 value 79.214482
final  value 79.214482 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 103.071891 
iter  10 value 94.335982
iter  20 value 89.678207
iter  30 value 84.439494
iter  40 value 80.026913
iter  50 value 79.557912
iter  60 value 79.464374
iter  70 value 79.441382
iter  80 value 79.351159
iter  90 value 79.241196
iter 100 value 79.214467
final  value 79.214467 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 103.626503 
iter  10 value 93.565651
iter  20 value 80.199738
iter  30 value 79.652477
iter  40 value 79.483617
iter  50 value 79.313723
iter  60 value 79.268578
iter  60 value 79.268577
iter  60 value 79.268577
final  value 79.268577 
converged
Fitting Repeat 4 

# weights:  103
initial  value 103.905435 
iter  10 value 94.492637
iter  20 value 94.401284
iter  30 value 92.075590
iter  40 value 90.059161
iter  50 value 81.850920
iter  60 value 79.638853
iter  70 value 79.394128
iter  80 value 79.303621
iter  90 value 79.297030
final  value 79.297026 
converged
Fitting Repeat 5 

# weights:  103
initial  value 100.755385 
iter  10 value 94.407112
iter  20 value 92.731044
iter  30 value 90.922598
iter  40 value 85.576742
iter  50 value 84.170096
iter  60 value 83.205700
iter  70 value 80.204005
iter  80 value 80.056228
iter  90 value 80.054087
iter 100 value 80.041732
final  value 80.041732 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 110.507025 
iter  10 value 94.133635
iter  20 value 83.093829
iter  30 value 79.938947
iter  40 value 79.492164
iter  50 value 79.181909
iter  60 value 79.087136
iter  70 value 78.005942
iter  80 value 77.396254
iter  90 value 77.248401
iter 100 value 77.169928
final  value 77.169928 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 105.170970 
iter  10 value 94.324504
iter  20 value 86.282856
iter  30 value 84.461516
iter  40 value 84.188787
iter  50 value 84.079935
iter  60 value 83.754721
iter  70 value 82.168565
iter  80 value 80.822834
iter  90 value 78.858952
iter 100 value 78.127078
final  value 78.127078 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 105.748972 
iter  10 value 96.524438
iter  20 value 84.062399
iter  30 value 82.995400
iter  40 value 79.455807
iter  50 value 78.897642
iter  60 value 78.763708
iter  70 value 78.756838
iter  80 value 78.572893
iter  90 value 78.324289
iter 100 value 78.288132
final  value 78.288132 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 104.629271 
iter  10 value 94.684220
iter  20 value 94.432140
iter  30 value 85.271744
iter  40 value 84.253410
iter  50 value 83.860224
iter  60 value 83.660880
iter  70 value 79.016449
iter  80 value 77.942230
iter  90 value 77.392973
iter 100 value 77.297941
final  value 77.297941 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 101.997792 
iter  10 value 94.572882
iter  20 value 91.545685
iter  30 value 85.531369
iter  40 value 82.679993
iter  50 value 81.356482
iter  60 value 79.717946
iter  70 value 79.132470
iter  80 value 79.032582
iter  90 value 78.546148
iter 100 value 77.870078
final  value 77.870078 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 109.182852 
iter  10 value 94.189162
iter  20 value 82.207305
iter  30 value 79.462398
iter  40 value 79.224230
iter  50 value 79.057902
iter  60 value 78.947353
iter  70 value 78.821573
iter  80 value 77.910286
iter  90 value 77.769515
iter 100 value 77.367994
final  value 77.367994 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 118.636603 
iter  10 value 94.313316
iter  20 value 80.422765
iter  30 value 79.375010
iter  40 value 79.224254
iter  50 value 79.074962
iter  60 value 78.962262
iter  70 value 78.803721
iter  80 value 77.762422
iter  90 value 77.405115
iter 100 value 77.362780
final  value 77.362780 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 114.611381 
iter  10 value 94.363238
iter  20 value 89.847696
iter  30 value 81.968654
iter  40 value 80.729753
iter  50 value 79.297931
iter  60 value 79.140573
iter  70 value 79.023971
iter  80 value 78.875882
iter  90 value 78.765696
iter 100 value 78.632857
final  value 78.632857 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 104.891652 
iter  10 value 93.657825
iter  20 value 80.892394
iter  30 value 79.191563
iter  40 value 78.533081
iter  50 value 78.277108
iter  60 value 77.625007
iter  70 value 77.407975
iter  80 value 77.325129
iter  90 value 77.250949
iter 100 value 77.112498
final  value 77.112498 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 104.014876 
iter  10 value 94.514704
iter  20 value 94.317405
iter  30 value 93.727599
iter  40 value 80.077231
iter  50 value 78.546393
iter  60 value 78.457937
iter  70 value 78.339561
iter  80 value 78.225377
iter  90 value 77.666584
iter 100 value 77.347905
final  value 77.347905 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 97.147032 
final  value 94.485893 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.716134 
final  value 94.485771 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.050871 
iter  10 value 94.487075
final  value 94.485366 
converged
Fitting Repeat 4 

# weights:  103
initial  value 100.961332 
iter  10 value 94.485797
iter  20 value 94.480439
iter  30 value 94.427455
iter  40 value 87.181785
iter  50 value 84.389009
iter  60 value 84.292874
iter  70 value 84.261193
final  value 84.261175 
converged
Fitting Repeat 5 

# weights:  103
initial  value 96.078507 
final  value 94.485927 
converged
Fitting Repeat 1 

# weights:  305
initial  value 95.673407 
iter  10 value 94.489059
iter  20 value 94.415185
iter  30 value 93.939766
iter  40 value 93.939565
iter  50 value 93.939423
final  value 93.939420 
converged
Fitting Repeat 2 

# weights:  305
initial  value 103.646053 
iter  10 value 90.730474
iter  20 value 89.041461
iter  30 value 88.936152
iter  40 value 88.929116
iter  50 value 88.925165
iter  60 value 88.925007
final  value 88.924993 
converged
Fitting Repeat 3 

# weights:  305
initial  value 99.009846 
iter  10 value 92.619636
iter  20 value 92.617646
iter  30 value 87.605407
iter  40 value 87.602208
iter  50 value 87.433077
iter  60 value 85.079776
iter  70 value 85.030850
iter  80 value 85.024349
iter  90 value 82.769134
iter 100 value 81.854032
final  value 81.854032 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 95.236742 
iter  10 value 94.488509
iter  20 value 94.374371
iter  30 value 85.324411
iter  40 value 77.390530
iter  50 value 77.223433
iter  60 value 77.091425
iter  70 value 77.015655
iter  80 value 77.015096
final  value 77.015003 
converged
Fitting Repeat 5 

# weights:  305
initial  value 125.187681 
iter  10 value 93.943807
iter  20 value 93.435242
iter  30 value 92.616545
iter  40 value 92.615251
iter  50 value 92.227353
iter  60 value 78.009548
iter  70 value 77.807384
iter  80 value 77.543082
iter  90 value 77.253416
iter 100 value 77.241483
final  value 77.241483 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 99.186203 
iter  10 value 94.474990
iter  20 value 94.410355
iter  30 value 82.480370
final  value 82.471019 
converged
Fitting Repeat 2 

# weights:  507
initial  value 104.794706 
iter  10 value 94.475462
iter  20 value 94.471237
iter  30 value 91.280613
iter  40 value 89.042868
iter  50 value 89.037278
iter  60 value 89.037164
iter  70 value 89.034585
iter  80 value 84.909529
iter  90 value 77.819734
iter 100 value 77.749132
final  value 77.749132 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 97.800476 
iter  10 value 83.383868
iter  20 value 77.322114
iter  30 value 77.160404
iter  40 value 77.033797
iter  50 value 77.031100
iter  60 value 77.024363
iter  70 value 76.953585
iter  80 value 76.738511
iter  90 value 76.631833
iter 100 value 76.615940
final  value 76.615940 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 99.166296 
iter  10 value 94.475374
iter  20 value 94.467339
final  value 94.466843 
converged
Fitting Repeat 5 

# weights:  507
initial  value 99.901839 
iter  10 value 94.456601
iter  20 value 94.450664
iter  30 value 82.626039
iter  40 value 82.476841
iter  50 value 82.475205
iter  60 value 79.077143
iter  70 value 77.693126
iter  80 value 77.502250
iter  90 value 77.501938
iter 100 value 77.440849
final  value 77.440849 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 105.474386 
iter  10 value 94.429590
iter  20 value 94.428838
iter  30 value 94.354593
final  value 94.354287 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.444176 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.847177 
iter  10 value 89.857741
iter  20 value 89.769339
final  value 89.768942 
converged
Fitting Repeat 4 

# weights:  103
initial  value 94.958660 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.768940 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 94.932338 
iter  10 value 89.988413
iter  20 value 89.357180
final  value 89.356980 
converged
Fitting Repeat 2 

# weights:  305
initial  value 107.261614 
iter  10 value 94.362663
final  value 94.361905 
converged
Fitting Repeat 3 

# weights:  305
initial  value 96.195732 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 109.981465 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 96.227928 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 97.973707 
final  value 94.466823 
converged
Fitting Repeat 2 

# weights:  507
initial  value 95.782230 
final  value 94.436781 
converged
Fitting Repeat 3 

# weights:  507
initial  value 100.181445 
iter  10 value 93.466290
iter  20 value 86.671272
final  value 85.985695 
converged
Fitting Repeat 4 

# weights:  507
initial  value 103.536695 
iter  10 value 92.156459
final  value 92.152918 
converged
Fitting Repeat 5 

# weights:  507
initial  value 100.903617 
final  value 94.466823 
converged
Fitting Repeat 1 

# weights:  103
initial  value 101.110606 
iter  10 value 94.487121
iter  20 value 93.837715
iter  30 value 91.294326
iter  40 value 87.613717
iter  50 value 86.204963
iter  60 value 85.023014
iter  70 value 84.741190
final  value 84.740344 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.327107 
iter  10 value 94.400578
iter  20 value 93.787106
iter  30 value 85.041536
iter  40 value 83.682097
iter  50 value 82.843787
iter  60 value 82.476996
iter  70 value 82.376322
iter  80 value 82.327257
final  value 82.327254 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.364608 
iter  10 value 94.540715
iter  20 value 94.488549
iter  30 value 87.660475
iter  40 value 85.929009
iter  50 value 85.722318
iter  60 value 85.559821
iter  70 value 84.932796
iter  80 value 84.787931
iter  90 value 84.751551
final  value 84.740344 
converged
Fitting Repeat 4 

# weights:  103
initial  value 100.413329 
iter  10 value 94.490774
iter  20 value 94.488494
iter  30 value 93.291192
iter  40 value 90.160081
iter  50 value 87.240072
iter  60 value 85.239853
iter  70 value 83.784563
iter  80 value 83.428464
iter  90 value 83.407507
iter 100 value 82.327664
final  value 82.327664 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 107.570004 
iter  10 value 94.452725
iter  20 value 92.095761
iter  30 value 91.117930
iter  40 value 89.949296
iter  50 value 89.723944
iter  60 value 89.700332
iter  70 value 85.292847
iter  80 value 83.996872
iter  90 value 83.641115
iter 100 value 82.887748
final  value 82.887748 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 99.858715 
iter  10 value 94.481328
iter  20 value 94.225757
iter  30 value 90.278970
iter  40 value 85.256047
iter  50 value 84.121043
iter  60 value 83.187807
iter  70 value 82.835648
iter  80 value 82.571195
iter  90 value 82.399950
iter 100 value 82.216882
final  value 82.216882 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 114.435594 
iter  10 value 94.486743
iter  20 value 94.151520
iter  30 value 92.556960
iter  40 value 87.577217
iter  50 value 83.910856
iter  60 value 83.143490
iter  70 value 82.851328
iter  80 value 82.575993
iter  90 value 82.189530
iter 100 value 81.831565
final  value 81.831565 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 105.157400 
iter  10 value 94.539758
iter  20 value 90.805886
iter  30 value 84.145101
iter  40 value 82.498446
iter  50 value 81.645479
iter  60 value 80.963086
iter  70 value 80.468923
iter  80 value 80.097754
iter  90 value 79.860895
iter 100 value 79.763303
final  value 79.763303 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 117.616731 
iter  10 value 94.183629
iter  20 value 91.284388
iter  30 value 89.557493
iter  40 value 83.368851
iter  50 value 81.896213
iter  60 value 81.538082
iter  70 value 81.254970
iter  80 value 81.047008
iter  90 value 80.587948
iter 100 value 80.345931
final  value 80.345931 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 113.624777 
iter  10 value 92.736644
iter  20 value 86.860523
iter  30 value 84.948877
iter  40 value 82.181987
iter  50 value 81.614063
iter  60 value 81.315903
iter  70 value 80.899787
iter  80 value 80.600095
iter  90 value 80.522589
iter 100 value 80.419714
final  value 80.419714 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 109.469132 
iter  10 value 94.493945
iter  20 value 92.394491
iter  30 value 89.000075
iter  40 value 85.042948
iter  50 value 82.742092
iter  60 value 81.637064
iter  70 value 81.559320
iter  80 value 81.223992
iter  90 value 80.811974
iter 100 value 80.007215
final  value 80.007215 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 114.909818 
iter  10 value 97.982942
iter  20 value 96.133383
iter  30 value 94.711109
iter  40 value 84.321151
iter  50 value 82.348490
iter  60 value 81.486899
iter  70 value 80.838337
iter  80 value 80.431328
iter  90 value 80.219194
iter 100 value 79.916867
final  value 79.916867 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 109.961050 
iter  10 value 94.007571
iter  20 value 84.001190
iter  30 value 83.200076
iter  40 value 82.469673
iter  50 value 81.839918
iter  60 value 81.691904
iter  70 value 81.571106
iter  80 value 81.241865
iter  90 value 81.116202
iter 100 value 80.672813
final  value 80.672813 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 106.337831 
iter  10 value 94.937185
iter  20 value 94.475119
iter  30 value 93.891714
iter  40 value 90.808045
iter  50 value 87.357176
iter  60 value 85.911113
iter  70 value 83.720837
iter  80 value 82.610580
iter  90 value 82.518808
iter 100 value 82.415142
final  value 82.415142 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 121.751378 
iter  10 value 95.347476
iter  20 value 93.243839
iter  30 value 92.152818
iter  40 value 89.725359
iter  50 value 88.088453
iter  60 value 87.147273
iter  70 value 83.065263
iter  80 value 81.550611
iter  90 value 80.602713
iter 100 value 80.298919
final  value 80.298919 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 102.041832 
final  value 94.411325 
converged
Fitting Repeat 2 

# weights:  103
initial  value 100.126057 
final  value 94.485892 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.746382 
final  value 94.485872 
converged
Fitting Repeat 4 

# weights:  103
initial  value 103.062532 
final  value 94.485697 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.160709 
iter  10 value 94.485942
final  value 94.484253 
converged
Fitting Repeat 1 

# weights:  305
initial  value 107.530743 
iter  10 value 94.489326
iter  20 value 94.484224
iter  30 value 90.044395
iter  40 value 82.994988
iter  50 value 81.945527
iter  60 value 81.832712
iter  70 value 81.810571
final  value 81.810547 
converged
Fitting Repeat 2 

# weights:  305
initial  value 101.577620 
iter  10 value 94.472088
iter  20 value 94.460605
iter  30 value 88.114010
iter  40 value 87.699937
iter  50 value 87.699160
iter  50 value 87.699160
final  value 87.699160 
converged
Fitting Repeat 3 

# weights:  305
initial  value 94.982222 
iter  10 value 94.488637
iter  20 value 94.470976
final  value 94.467232 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.228691 
iter  10 value 94.489215
iter  20 value 94.478458
iter  30 value 91.684991
iter  40 value 87.262543
iter  50 value 87.259221
iter  50 value 87.259221
iter  50 value 87.259220
final  value 87.259220 
converged
Fitting Repeat 5 

# weights:  305
initial  value 102.934809 
iter  10 value 94.489140
iter  20 value 94.482641
iter  30 value 94.295390
iter  40 value 91.789385
iter  50 value 87.863428
iter  60 value 87.304841
iter  70 value 87.296599
iter  80 value 87.289863
iter  90 value 87.283555
iter 100 value 86.738924
final  value 86.738924 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 113.230874 
iter  10 value 94.475210
iter  20 value 94.470865
iter  30 value 94.116498
iter  40 value 88.815038
iter  50 value 88.545236
iter  60 value 88.542044
iter  70 value 88.541271
iter  80 value 88.349670
final  value 88.349473 
converged
Fitting Repeat 2 

# weights:  507
initial  value 102.955005 
iter  10 value 94.492048
iter  20 value 94.484264
iter  30 value 90.948887
iter  40 value 83.362368
iter  50 value 83.350741
iter  60 value 83.323587
iter  70 value 83.094314
iter  80 value 82.530979
iter  90 value 82.500745
iter 100 value 82.497865
final  value 82.497865 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 124.091035 
iter  10 value 93.710813
iter  20 value 90.584072
iter  30 value 89.577964
iter  40 value 85.670383
iter  50 value 82.674985
iter  60 value 82.194596
final  value 82.194272 
converged
Fitting Repeat 4 

# weights:  507
initial  value 99.348492 
iter  10 value 94.493457
iter  20 value 94.482935
iter  30 value 93.899252
iter  40 value 85.886819
iter  50 value 85.422057
iter  60 value 85.358288
iter  70 value 84.980307
iter  80 value 82.142117
iter  90 value 81.078933
iter 100 value 81.006113
final  value 81.006113 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 115.343884 
iter  10 value 94.455409
iter  20 value 94.451028
iter  30 value 88.738909
iter  40 value 86.565697
iter  50 value 84.352389
iter  60 value 81.419121
iter  70 value 79.416195
iter  80 value 79.104972
iter  90 value 79.075661
iter 100 value 79.014252
final  value 79.014252 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 127.056633 
iter  10 value 117.895493
iter  20 value 117.763658
iter  30 value 107.003754
iter  40 value 106.787340
iter  50 value 106.657909
final  value 106.655400 
converged
Fitting Repeat 2 

# weights:  305
initial  value 125.711003 
iter  10 value 117.870967
iter  20 value 117.866071
iter  20 value 117.866070
iter  20 value 117.866069
final  value 117.866069 
converged
Fitting Repeat 3 

# weights:  305
initial  value 150.894680 
iter  10 value 117.895036
iter  20 value 117.890329
iter  30 value 117.868709
iter  40 value 114.512744
iter  50 value 112.933615
iter  60 value 112.933061
iter  70 value 107.602284
iter  80 value 106.970269
iter  90 value 106.781182
iter 100 value 106.778107
final  value 106.778107 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 138.991390 
iter  10 value 110.751920
iter  20 value 109.312086
iter  30 value 106.935849
iter  40 value 104.949429
iter  50 value 104.940612
iter  60 value 104.939182
iter  70 value 104.937147
final  value 104.936746 
converged
Fitting Repeat 5 

# weights:  305
initial  value 139.124111 
iter  10 value 117.763881
iter  20 value 117.755901
iter  30 value 107.265480
iter  40 value 106.898980
iter  50 value 106.898361
final  value 106.898357 
converged
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 -- Tue Mar 10 00:09:39 2026 
*********************************************** 
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 
 41.236   0.837  87.403