##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.18-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.18-bioc/R/site-library --timings HPiP_1.8.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.18-bioc/meat/HPiP.Rcheck’
* using R version 4.3.3 (2024-02-29)
* using platform: x86_64-pc-linux-gnu (64-bit)
* R was compiled by
    gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
    GNU Fortran (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
* running under: Ubuntu 22.04.4 LTS
* using session charset: UTF-8
* checking for file ‘HPiP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘HPiP’ version ‘1.8.0’
* 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 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 ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R 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 ... OK
* 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
var_imp       35.542  1.044  36.587
FSmethod      34.589  0.605  35.195
corr_plot     34.046  0.391  34.440
pred_ensembel 13.486  0.638  10.724
enrichfindP    0.533  0.048   9.588
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘runTests.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking running R code from vignettes ...
  ‘HPiP_tutorial.Rmd’ using ‘UTF-8’... OK
 NONE
* checking re-building of vignette outputs ... OK
* checking PDF version of manual ... OK
* DONE

Status: 1 NOTE
See
  ‘/home/biocbuild/bbs-3.18-bioc/meat/HPiP.Rcheck/00check.log’
for details.

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.18-bioc/R/bin/R CMD INSTALL HPiP
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/bbs-3.18-bioc/R/site-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 4.3.3 (2024-02-29) -- "Angel Food Cake"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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 97.510927 
iter  10 value 88.003460
iter  20 value 87.940784
iter  30 value 87.913062
final  value 87.912947 
converged
Fitting Repeat 2 

# weights:  103
initial  value 110.114570 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 102.342904 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.582803 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.462393 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 100.031837 
final  value 93.371808 
converged
Fitting Repeat 2 

# weights:  305
initial  value 95.080001 
iter  10 value 87.881247
iter  20 value 87.564614
iter  30 value 87.564302
final  value 87.564052 
converged
Fitting Repeat 3 

# weights:  305
initial  value 97.769491 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  305
initial  value 121.314057 
final  value 94.032967 
converged
Fitting Repeat 5 

# weights:  305
initial  value 94.366970 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  507
initial  value 97.168071 
final  value 94.032967 
converged
Fitting Repeat 2 

# weights:  507
initial  value 105.961876 
iter  10 value 93.911283
iter  20 value 92.911667
final  value 92.911638 
converged
Fitting Repeat 3 

# weights:  507
initial  value 124.787012 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  507
initial  value 98.675625 
iter  10 value 93.810206
final  value 93.810010 
converged
Fitting Repeat 5 

# weights:  507
initial  value 95.374942 
iter  10 value 93.622639
iter  20 value 93.090980
final  value 93.090910 
converged
Fitting Repeat 1 

# weights:  103
initial  value 95.786655 
iter  10 value 94.058804
iter  20 value 92.843107
iter  30 value 84.538775
iter  40 value 84.146089
iter  50 value 83.707544
iter  60 value 83.569545
iter  70 value 83.558723
final  value 83.558719 
converged
Fitting Repeat 2 

# weights:  103
initial  value 103.036526 
iter  10 value 94.056918
iter  20 value 92.479359
iter  30 value 84.505503
iter  40 value 83.908442
iter  50 value 83.400644
iter  60 value 83.376513
iter  70 value 83.338422
iter  80 value 83.328578
final  value 83.328550 
converged
Fitting Repeat 3 

# weights:  103
initial  value 103.591107 
iter  10 value 94.051969
iter  20 value 93.173441
iter  30 value 93.168694
iter  40 value 92.820084
iter  50 value 84.083941
iter  60 value 83.754299
iter  70 value 83.476659
iter  80 value 83.379096
iter  90 value 83.329265
final  value 83.328550 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.949835 
iter  10 value 94.050217
iter  20 value 89.801141
iter  30 value 82.608964
iter  40 value 82.387875
iter  50 value 81.484889
iter  60 value 81.304239
iter  70 value 81.074816
iter  80 value 81.043374
iter  80 value 81.043373
iter  80 value 81.043373
final  value 81.043373 
converged
Fitting Repeat 5 

# weights:  103
initial  value 96.444265 
iter  10 value 94.055759
iter  20 value 85.824286
iter  30 value 85.368802
iter  40 value 84.076136
iter  50 value 83.451214
iter  60 value 82.000298
iter  70 value 81.439069
iter  80 value 81.216687
iter  90 value 81.112509
iter 100 value 81.050278
final  value 81.050278 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 100.984248 
iter  10 value 93.456076
iter  20 value 93.124113
iter  30 value 90.959101
iter  40 value 86.275925
iter  50 value 83.360786
iter  60 value 82.579386
iter  70 value 82.168680
iter  80 value 81.831522
iter  90 value 81.663849
iter 100 value 81.440483
final  value 81.440483 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 118.034494 
iter  10 value 93.950015
iter  20 value 85.949371
iter  30 value 83.227807
iter  40 value 82.863967
iter  50 value 82.414872
iter  60 value 80.648838
iter  70 value 80.053219
iter  80 value 79.970879
iter  90 value 79.935807
iter 100 value 79.909011
final  value 79.909011 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 99.391421 
iter  10 value 88.101175
iter  20 value 85.095583
iter  30 value 83.853586
iter  40 value 83.634755
iter  50 value 83.568355
iter  60 value 83.558522
iter  70 value 83.286398
iter  80 value 82.201411
iter  90 value 80.520003
iter 100 value 80.168358
final  value 80.168358 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 119.050712 
iter  10 value 98.751063
iter  20 value 95.705127
iter  30 value 91.344798
iter  40 value 88.586742
iter  50 value 87.255362
iter  60 value 84.195036
iter  70 value 80.922634
iter  80 value 80.691783
iter  90 value 80.447140
iter 100 value 80.255581
final  value 80.255581 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 105.871157 
iter  10 value 93.512828
iter  20 value 86.263444
iter  30 value 85.155944
iter  40 value 83.047801
iter  50 value 82.599435
iter  60 value 82.229200
iter  70 value 81.988198
iter  80 value 81.795443
iter  90 value 81.594080
iter 100 value 81.457385
final  value 81.457385 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 104.625453 
iter  10 value 94.101767
iter  20 value 89.740733
iter  30 value 84.760848
iter  40 value 84.313495
iter  50 value 83.811347
iter  60 value 82.092607
iter  70 value 80.862614
iter  80 value 80.407201
iter  90 value 80.139551
iter 100 value 79.949152
final  value 79.949152 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 127.626832 
iter  10 value 96.781532
iter  20 value 95.480546
iter  30 value 93.683083
iter  40 value 84.084046
iter  50 value 83.363374
iter  60 value 82.352657
iter  70 value 81.132860
iter  80 value 80.264983
iter  90 value 79.805852
iter 100 value 79.697403
final  value 79.697403 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 102.274071 
iter  10 value 89.564972
iter  20 value 87.499125
iter  30 value 83.866867
iter  40 value 83.168433
iter  50 value 81.487945
iter  60 value 81.403827
iter  70 value 81.309800
iter  80 value 80.977115
iter  90 value 80.430694
iter 100 value 80.144913
final  value 80.144913 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 106.395165 
iter  10 value 94.066492
iter  20 value 94.051141
iter  30 value 93.177145
iter  40 value 90.421882
iter  50 value 84.474819
iter  60 value 82.248268
iter  70 value 81.373618
iter  80 value 80.535481
iter  90 value 79.889453
iter 100 value 79.818815
final  value 79.818815 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 130.985412 
iter  10 value 93.750629
iter  20 value 93.226322
iter  30 value 86.329322
iter  40 value 83.017475
iter  50 value 82.403510
iter  60 value 81.773226
iter  70 value 80.478952
iter  80 value 80.152464
iter  90 value 80.131960
iter 100 value 80.120660
final  value 80.120660 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 106.972806 
final  value 94.054515 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.337522 
final  value 94.034392 
converged
Fitting Repeat 3 

# weights:  103
initial  value 105.775759 
final  value 94.054648 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.857361 
final  value 94.054732 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.794952 
final  value 94.054664 
converged
Fitting Repeat 1 

# weights:  305
initial  value 100.545195 
iter  10 value 93.010945
iter  20 value 92.746560
iter  30 value 91.133855
iter  40 value 89.927685
iter  50 value 89.755329
iter  60 value 89.728575
iter  70 value 89.727995
iter  80 value 89.727825
iter  90 value 88.873401
iter 100 value 88.726028
final  value 88.726028 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 99.930220 
iter  10 value 83.850742
iter  20 value 82.686116
iter  30 value 82.466546
iter  40 value 82.205206
iter  50 value 82.204741
final  value 82.203540 
converged
Fitting Repeat 3 

# weights:  305
initial  value 94.934112 
iter  10 value 93.361460
iter  20 value 93.326422
iter  30 value 93.322593
iter  30 value 93.322592
iter  30 value 93.322592
final  value 93.322592 
converged
Fitting Repeat 4 

# weights:  305
initial  value 98.196739 
iter  10 value 83.278312
iter  20 value 81.166725
iter  30 value 80.866625
iter  40 value 80.793531
iter  50 value 80.793104
iter  60 value 80.792396
iter  70 value 80.789597
iter  80 value 80.118963
iter  90 value 79.990785
iter 100 value 79.530144
final  value 79.530144 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 94.751733 
iter  10 value 94.023751
iter  20 value 85.289016
iter  30 value 83.193091
iter  40 value 83.121287
iter  50 value 83.120901
iter  60 value 82.997444
iter  70 value 82.821510
iter  80 value 82.821032
iter  90 value 82.804858
iter 100 value 82.795186
final  value 82.795186 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 118.364274 
iter  10 value 94.060777
iter  20 value 94.027474
iter  30 value 83.699966
iter  40 value 83.693438
iter  50 value 83.687584
iter  60 value 83.653918
iter  70 value 83.647649
final  value 83.644665 
converged
Fitting Repeat 2 

# weights:  507
initial  value 111.751851 
iter  10 value 94.041081
iter  20 value 93.936312
iter  30 value 83.400115
iter  40 value 83.376837
iter  50 value 83.373916
iter  60 value 82.379559
iter  70 value 81.078896
iter  80 value 79.732852
iter  90 value 79.079019
iter 100 value 78.744044
final  value 78.744044 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 103.535357 
iter  10 value 93.330889
iter  20 value 93.047048
iter  30 value 83.674597
final  value 83.674295 
converged
Fitting Repeat 4 

# weights:  507
initial  value 105.150850 
iter  10 value 93.676468
iter  20 value 93.370403
iter  30 value 93.362687
final  value 93.362577 
converged
Fitting Repeat 5 

# weights:  507
initial  value 94.297701 
iter  10 value 93.384884
iter  20 value 93.362994
iter  30 value 93.273838
iter  40 value 93.091112
iter  50 value 82.035699
iter  60 value 81.039275
final  value 81.031547 
converged
Fitting Repeat 1 

# weights:  103
initial  value 105.738170 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 94.928584 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.116647 
final  value 93.701656 
converged
Fitting Repeat 4 

# weights:  103
initial  value 100.033431 
final  value 94.466823 
converged
Fitting Repeat 5 

# weights:  103
initial  value 99.481636 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 98.733189 
iter  10 value 94.467912
final  value 94.466823 
converged
Fitting Repeat 2 

# weights:  305
initial  value 127.071567 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 122.542955 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 95.221469 
iter  10 value 93.461560
iter  10 value 93.461560
iter  10 value 93.461560
final  value 93.461560 
converged
Fitting Repeat 5 

# weights:  305
initial  value 114.269007 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 118.158533 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  507
initial  value 111.420852 
iter  10 value 94.485698
iter  20 value 94.468028
iter  30 value 94.443188
final  value 94.443182 
converged
Fitting Repeat 3 

# weights:  507
initial  value 96.616912 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 100.153141 
iter  10 value 93.692939
iter  10 value 93.692939
iter  10 value 93.692939
final  value 93.692939 
converged
Fitting Repeat 5 

# weights:  507
initial  value 124.700856 
final  value 94.484210 
converged
Fitting Repeat 1 

# weights:  103
initial  value 107.572599 
iter  10 value 94.313992
iter  20 value 92.621393
iter  30 value 92.287262
iter  40 value 89.169185
iter  50 value 83.018125
iter  60 value 81.778552
iter  70 value 81.703836
iter  80 value 81.553444
iter  90 value 81.369826
final  value 81.291822 
converged
Fitting Repeat 2 

# weights:  103
initial  value 113.082619 
iter  10 value 94.571166
iter  20 value 94.483841
iter  30 value 94.361531
iter  40 value 94.322460
iter  50 value 93.035993
iter  60 value 85.552187
iter  70 value 84.845138
iter  80 value 84.128213
iter  90 value 83.141592
iter 100 value 82.184531
final  value 82.184531 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 105.819843 
iter  10 value 94.420522
iter  20 value 93.984364
iter  30 value 92.191275
iter  40 value 92.139947
iter  50 value 92.125902
iter  60 value 86.577871
iter  70 value 83.565566
iter  80 value 83.192203
iter  90 value 83.081712
iter 100 value 82.992412
final  value 82.992412 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 98.166762 
iter  10 value 94.539425
iter  20 value 94.236001
iter  30 value 88.470114
iter  40 value 84.770709
iter  50 value 84.342988
iter  60 value 83.654767
iter  70 value 83.217694
final  value 83.217370 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.182717 
iter  10 value 94.488709
iter  20 value 94.488513
iter  30 value 85.172500
iter  40 value 84.674319
iter  50 value 84.461402
iter  60 value 84.405231
iter  70 value 83.477880
iter  80 value 83.081800
final  value 83.081683 
converged
Fitting Repeat 1 

# weights:  305
initial  value 102.808694 
iter  10 value 94.507096
iter  20 value 94.325075
iter  30 value 87.372065
iter  40 value 84.738881
iter  50 value 83.428921
iter  60 value 82.105231
iter  70 value 81.024123
iter  80 value 79.972160
iter  90 value 79.808436
iter 100 value 79.766754
final  value 79.766754 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 100.091633 
iter  10 value 94.400247
iter  20 value 84.734469
iter  30 value 84.021542
iter  40 value 83.613691
iter  50 value 83.450632
iter  60 value 83.360471
iter  70 value 83.271035
iter  80 value 82.729094
iter  90 value 82.181486
iter 100 value 80.777681
final  value 80.777681 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 104.273425 
iter  10 value 94.572100
iter  20 value 93.508813
iter  30 value 87.316061
iter  40 value 84.648087
iter  50 value 84.197737
iter  60 value 83.034812
iter  70 value 82.512985
iter  80 value 82.404102
iter  90 value 82.166968
iter 100 value 81.501698
final  value 81.501698 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 119.578777 
iter  10 value 93.711162
iter  20 value 87.022233
iter  30 value 84.448490
iter  40 value 83.078677
iter  50 value 82.839175
iter  60 value 82.738668
iter  70 value 82.691700
iter  80 value 81.779459
iter  90 value 80.478466
iter 100 value 80.140814
final  value 80.140814 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 110.599407 
iter  10 value 94.929306
iter  20 value 91.312134
iter  30 value 86.212706
iter  40 value 85.129745
iter  50 value 84.233949
iter  60 value 83.589789
iter  70 value 83.182877
iter  80 value 82.685963
iter  90 value 82.581048
iter 100 value 82.478275
final  value 82.478275 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 103.733013 
iter  10 value 94.077670
iter  20 value 84.939265
iter  30 value 84.343441
iter  40 value 82.374594
iter  50 value 81.288683
iter  60 value 81.057384
iter  70 value 80.640193
iter  80 value 80.301311
iter  90 value 80.087358
iter 100 value 80.015265
final  value 80.015265 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.407178 
iter  10 value 94.400281
iter  20 value 88.131822
iter  30 value 86.333019
iter  40 value 81.837349
iter  50 value 80.144982
iter  60 value 79.909224
iter  70 value 79.764678
iter  80 value 79.674299
iter  90 value 79.652694
iter 100 value 79.612034
final  value 79.612034 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 102.895929 
iter  10 value 92.399849
iter  20 value 83.309007
iter  30 value 82.598491
iter  40 value 82.497168
iter  50 value 82.202834
iter  60 value 81.819731
iter  70 value 81.043070
iter  80 value 80.900575
iter  90 value 80.557036
iter 100 value 80.416918
final  value 80.416918 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 106.830600 
iter  10 value 94.352335
iter  20 value 93.885192
iter  30 value 93.641667
iter  40 value 92.837472
iter  50 value 92.728614
iter  60 value 85.806124
iter  70 value 85.080313
iter  80 value 84.741735
iter  90 value 83.572098
iter 100 value 83.391018
final  value 83.391018 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 112.964250 
iter  10 value 94.437650
iter  20 value 88.465794
iter  30 value 87.014139
iter  40 value 85.638612
iter  50 value 83.181179
iter  60 value 82.518345
iter  70 value 82.370545
iter  80 value 81.807763
iter  90 value 81.556529
iter 100 value 81.438257
final  value 81.438257 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 97.459382 
final  value 94.485880 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.654799 
final  value 94.468690 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.687037 
final  value 93.703311 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.907627 
final  value 94.485790 
converged
Fitting Repeat 5 

# weights:  103
initial  value 99.707894 
final  value 94.485801 
converged
Fitting Repeat 1 

# weights:  305
initial  value 114.691857 
iter  10 value 94.488546
iter  20 value 94.451638
iter  30 value 92.732575
iter  40 value 90.024406
iter  50 value 84.445033
iter  60 value 83.902339
iter  70 value 83.896899
iter  80 value 83.837364
iter  90 value 83.823397
iter 100 value 83.823084
final  value 83.823084 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 99.155941 
iter  10 value 94.484883
iter  20 value 94.411089
iter  30 value 86.197061
iter  40 value 85.129448
iter  50 value 83.131817
iter  60 value 82.808167
iter  70 value 82.519176
iter  80 value 82.228858
iter  90 value 82.091269
iter 100 value 82.087066
final  value 82.087066 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 97.779088 
iter  10 value 94.488647
iter  20 value 93.964885
iter  30 value 83.571001
iter  40 value 81.996446
iter  50 value 81.885235
iter  60 value 81.876882
iter  70 value 81.870849
iter  80 value 81.870372
final  value 81.870293 
converged
Fitting Repeat 4 

# weights:  305
initial  value 100.112809 
iter  10 value 93.698189
iter  20 value 93.696800
iter  30 value 93.695638
iter  40 value 93.694388
iter  50 value 84.546080
iter  60 value 83.053231
iter  70 value 82.571841
iter  80 value 82.570087
final  value 82.569467 
converged
Fitting Repeat 5 

# weights:  305
initial  value 107.359898 
iter  10 value 94.488964
iter  20 value 94.269660
iter  30 value 94.265062
final  value 94.263809 
converged
Fitting Repeat 1 

# weights:  507
initial  value 95.806927 
iter  10 value 94.492339
iter  20 value 94.484239
iter  30 value 94.220262
iter  40 value 92.262698
iter  50 value 83.535995
iter  60 value 82.291789
iter  70 value 82.267408
iter  80 value 81.758156
iter  90 value 81.450389
iter 100 value 81.153765
final  value 81.153765 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.212691 
iter  10 value 93.970923
iter  20 value 86.694522
iter  30 value 86.660788
iter  40 value 86.594620
iter  50 value 86.569142
iter  60 value 84.727982
iter  70 value 84.692280
iter  80 value 84.622061
iter  90 value 84.615812
iter 100 value 84.607221
final  value 84.607221 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 110.491979 
iter  10 value 94.478662
iter  20 value 94.456973
iter  30 value 84.996762
iter  40 value 84.979392
iter  50 value 84.979150
iter  60 value 84.565894
iter  70 value 84.536873
iter  80 value 82.549162
iter  90 value 82.173786
iter 100 value 82.173324
final  value 82.173324 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 96.473769 
iter  10 value 94.475153
iter  20 value 94.469875
iter  30 value 92.969311
iter  40 value 85.108216
iter  50 value 82.636119
iter  60 value 82.006924
iter  70 value 81.987292
iter  80 value 81.986956
iter  90 value 81.607878
iter 100 value 79.928926
final  value 79.928926 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 116.947824 
iter  10 value 94.492072
iter  20 value 94.386167
iter  30 value 93.432625
iter  40 value 92.652827
iter  50 value 83.672081
iter  60 value 81.351091
iter  70 value 80.905611
iter  80 value 80.842914
iter  90 value 80.841385
iter 100 value 80.809869
final  value 80.809869 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 94.715689 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 94.647164 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 94.932274 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 111.178180 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.984152 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 94.496504 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 101.922629 
iter  10 value 94.112905
final  value 94.112903 
converged
Fitting Repeat 3 

# weights:  305
initial  value 120.157951 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 135.314164 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 114.024928 
final  value 94.325945 
converged
Fitting Repeat 1 

# weights:  507
initial  value 98.790395 
iter  10 value 94.112903
iter  10 value 94.112903
iter  10 value 94.112903
final  value 94.112903 
converged
Fitting Repeat 2 

# weights:  507
initial  value 97.702270 
iter  10 value 91.563151
iter  20 value 91.305212
iter  30 value 91.305167
iter  40 value 90.095116
iter  50 value 90.093015
iter  60 value 90.092733
iter  60 value 90.092733
iter  60 value 90.092732
final  value 90.092732 
converged
Fitting Repeat 3 

# weights:  507
initial  value 95.880636 
iter  10 value 94.112952
final  value 94.112903 
converged
Fitting Repeat 4 

# weights:  507
initial  value 135.664157 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  507
initial  value 99.486359 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  103
initial  value 97.787871 
iter  10 value 94.397521
iter  20 value 87.696329
iter  30 value 85.998946
iter  40 value 85.823232
iter  50 value 85.569632
iter  60 value 83.454356
iter  70 value 82.896987
iter  80 value 82.454124
iter  90 value 82.216231
iter 100 value 82.109713
final  value 82.109713 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 102.631247 
iter  10 value 94.481288
iter  20 value 94.321490
iter  30 value 94.316863
iter  40 value 89.451773
iter  50 value 86.784184
iter  60 value 85.846411
iter  70 value 85.232275
iter  80 value 84.396294
iter  90 value 84.356474
iter 100 value 84.355448
final  value 84.355448 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 99.709017 
iter  10 value 93.761383
iter  20 value 89.043780
iter  30 value 87.997023
iter  40 value 87.824095
iter  50 value 86.748104
iter  60 value 84.790246
iter  70 value 82.330231
iter  80 value 82.181893
final  value 82.109699 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.579185 
iter  10 value 94.480863
iter  20 value 91.723120
iter  30 value 85.206735
iter  40 value 84.898422
iter  50 value 84.230182
iter  60 value 83.281185
iter  70 value 82.960055
iter  80 value 82.442951
iter  90 value 82.116458
iter 100 value 82.109728
final  value 82.109728 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 101.640735 
iter  10 value 93.815384
iter  20 value 85.437986
iter  30 value 85.014846
iter  40 value 84.440837
iter  50 value 84.361620
final  value 84.355442 
converged
Fitting Repeat 1 

# weights:  305
initial  value 113.876028 
iter  10 value 94.747351
iter  20 value 89.651993
iter  30 value 86.975880
iter  40 value 85.177871
iter  50 value 84.966244
iter  60 value 84.706995
iter  70 value 84.542768
iter  80 value 84.331377
iter  90 value 82.730359
iter 100 value 82.474726
final  value 82.474726 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 100.161664 
iter  10 value 93.734803
iter  20 value 87.291795
iter  30 value 85.761797
iter  40 value 83.528912
iter  50 value 82.713318
iter  60 value 82.508627
iter  70 value 82.364466
iter  80 value 82.328593
iter  90 value 82.229899
iter 100 value 82.069174
final  value 82.069174 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 110.265593 
iter  10 value 95.746719
iter  20 value 94.873276
iter  30 value 85.944573
iter  40 value 84.931332
iter  50 value 83.503758
iter  60 value 82.891381
iter  70 value 82.690675
iter  80 value 82.419619
iter  90 value 82.029226
iter 100 value 81.959959
final  value 81.959959 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 124.943544 
iter  10 value 94.390108
iter  20 value 91.314965
iter  30 value 87.756547
iter  40 value 85.370741
iter  50 value 84.533654
iter  60 value 82.091068
iter  70 value 81.932602
iter  80 value 81.809045
iter  90 value 81.424087
iter 100 value 81.312495
final  value 81.312495 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 100.420099 
iter  10 value 93.532675
iter  20 value 89.340544
iter  30 value 84.848019
iter  40 value 83.732072
iter  50 value 83.093363
iter  60 value 82.322891
iter  70 value 81.897887
iter  80 value 81.739761
iter  90 value 81.470595
iter 100 value 81.404600
final  value 81.404600 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 106.372157 
iter  10 value 94.409889
iter  20 value 89.448935
iter  30 value 87.174513
iter  40 value 86.341347
iter  50 value 85.610462
iter  60 value 85.396665
iter  70 value 82.775744
iter  80 value 81.874469
iter  90 value 81.852999
iter 100 value 81.756008
final  value 81.756008 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 104.149700 
iter  10 value 94.457554
iter  20 value 90.471185
iter  30 value 85.768978
iter  40 value 84.308851
iter  50 value 82.974711
iter  60 value 82.346401
iter  70 value 82.198504
iter  80 value 81.548946
iter  90 value 81.010145
iter 100 value 80.834296
final  value 80.834296 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 105.873602 
iter  10 value 95.719052
iter  20 value 93.751997
iter  30 value 90.356383
iter  40 value 88.873548
iter  50 value 85.140237
iter  60 value 82.926224
iter  70 value 82.078324
iter  80 value 81.547232
iter  90 value 81.265661
iter 100 value 81.176520
final  value 81.176520 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 109.218267 
iter  10 value 94.723886
iter  20 value 92.141487
iter  30 value 85.700078
iter  40 value 83.751260
iter  50 value 83.357719
iter  60 value 82.666358
iter  70 value 81.613978
iter  80 value 81.126110
iter  90 value 80.998996
iter 100 value 80.873769
final  value 80.873769 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 120.419026 
iter  10 value 94.360166
iter  20 value 88.535893
iter  30 value 87.092643
iter  40 value 84.971774
iter  50 value 83.322289
iter  60 value 82.191473
iter  70 value 81.951216
iter  80 value 81.643568
iter  90 value 81.419532
iter 100 value 81.186448
final  value 81.186448 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 104.731729 
iter  10 value 94.486083
iter  20 value 94.484282
final  value 94.484217 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.056382 
iter  10 value 94.117120
final  value 94.114973 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.599998 
final  value 94.485890 
converged
Fitting Repeat 4 

# weights:  103
initial  value 106.338714 
final  value 94.485887 
converged
Fitting Repeat 5 

# weights:  103
initial  value 110.186030 
final  value 94.485793 
converged
Fitting Repeat 1 

# weights:  305
initial  value 110.407687 
iter  10 value 93.101602
iter  20 value 87.587448
iter  30 value 86.321852
iter  40 value 86.210154
iter  50 value 86.151659
final  value 86.151115 
converged
Fitting Repeat 2 

# weights:  305
initial  value 122.615585 
iter  10 value 88.752267
iter  20 value 87.211465
iter  30 value 87.209804
iter  40 value 87.021031
iter  50 value 86.337899
iter  60 value 85.603009
iter  70 value 84.234818
iter  80 value 81.263227
iter  90 value 80.670689
iter 100 value 80.472250
final  value 80.472250 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 105.914516 
iter  10 value 94.450452
iter  20 value 93.928482
iter  30 value 93.923772
iter  40 value 93.900676
final  value 93.889833 
converged
Fitting Repeat 4 

# weights:  305
initial  value 94.809781 
iter  10 value 94.487031
iter  20 value 93.722811
iter  30 value 93.706273
iter  40 value 87.595019
iter  50 value 87.590061
iter  60 value 87.072257
iter  70 value 87.055392
iter  80 value 86.471716
final  value 86.305819 
converged
Fitting Repeat 5 

# weights:  305
initial  value 123.932140 
iter  10 value 90.488618
iter  20 value 83.110222
iter  30 value 82.582293
iter  40 value 82.571022
iter  50 value 82.567398
iter  60 value 81.064092
iter  70 value 80.834085
iter  80 value 80.748192
final  value 80.747452 
converged
Fitting Repeat 1 

# weights:  507
initial  value 104.581252 
iter  10 value 94.120982
final  value 94.115239 
converged
Fitting Repeat 2 

# weights:  507
initial  value 99.311846 
iter  10 value 94.120700
iter  20 value 94.066520
iter  30 value 89.263968
iter  40 value 88.161410
iter  50 value 88.157750
iter  60 value 88.156623
iter  70 value 88.156305
iter  80 value 88.153251
iter  90 value 88.040326
iter 100 value 87.865533
final  value 87.865533 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 103.460705 
iter  10 value 93.966835
iter  20 value 93.962971
final  value 93.962780 
converged
Fitting Repeat 4 

# weights:  507
initial  value 98.337395 
iter  10 value 94.460216
iter  20 value 94.452813
iter  30 value 94.449463
iter  40 value 92.836935
iter  50 value 83.629841
iter  60 value 83.269052
iter  70 value 83.185599
iter  80 value 83.183788
final  value 83.183601 
converged
Fitting Repeat 5 

# weights:  507
initial  value 95.010920 
iter  10 value 94.304052
iter  20 value 94.283089
iter  30 value 93.928995
iter  40 value 93.905558
iter  50 value 93.873085
final  value 93.873081 
converged
Fitting Repeat 1 

# weights:  103
initial  value 104.161168 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.951021 
iter  10 value 93.763769
final  value 93.763752 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.520120 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.080075 
final  value 93.943841 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.615738 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 105.145547 
iter  10 value 93.764009
final  value 93.763751 
converged
Fitting Repeat 2 

# weights:  305
initial  value 110.255894 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  305
initial  value 108.102468 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  305
initial  value 98.723007 
iter  10 value 93.540117
iter  20 value 93.529157
iter  30 value 93.528625
final  value 93.528624 
converged
Fitting Repeat 5 

# weights:  305
initial  value 101.814425 
final  value 93.763751 
converged
Fitting Repeat 1 

# weights:  507
initial  value 105.202470 
final  value 93.582418 
converged
Fitting Repeat 2 

# weights:  507
initial  value 95.117527 
iter  10 value 93.582418
iter  10 value 93.582418
iter  10 value 93.582418
final  value 93.582418 
converged
Fitting Repeat 3 

# weights:  507
initial  value 94.227733 
final  value 93.582418 
converged
Fitting Repeat 4 

# weights:  507
initial  value 127.639995 
final  value 94.050155 
converged
Fitting Repeat 5 

# weights:  507
initial  value 114.774447 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  103
initial  value 103.851949 
iter  10 value 89.379397
iter  20 value 85.328858
iter  30 value 85.114277
iter  40 value 84.411210
iter  50 value 84.281552
iter  60 value 84.272619
final  value 84.272611 
converged
Fitting Repeat 2 

# weights:  103
initial  value 96.616708 
iter  10 value 94.063205
iter  20 value 93.978815
iter  30 value 93.739082
iter  40 value 93.598048
iter  50 value 93.582740
iter  60 value 87.574744
iter  70 value 87.306577
iter  80 value 86.915699
iter  90 value 86.283847
iter 100 value 85.176283
final  value 85.176283 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 96.236081 
iter  10 value 94.056424
iter  20 value 93.664358
iter  30 value 93.042433
iter  40 value 85.794508
iter  50 value 84.831209
iter  60 value 84.491788
iter  70 value 84.369395
iter  80 value 84.337218
iter  90 value 84.329040
iter 100 value 84.272834
final  value 84.272834 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 98.643767 
iter  10 value 93.880672
iter  20 value 93.646645
iter  30 value 87.659662
iter  40 value 84.920983
iter  50 value 84.852478
iter  60 value 84.728809
iter  70 value 84.349458
iter  80 value 84.272701
final  value 84.272611 
converged
Fitting Repeat 5 

# weights:  103
initial  value 100.666939 
iter  10 value 94.044038
iter  20 value 86.108613
iter  30 value 83.533579
iter  40 value 83.288348
iter  50 value 82.895715
iter  60 value 82.079093
iter  70 value 81.310633
iter  80 value 80.515613
iter  90 value 80.410596
iter 100 value 80.123542
final  value 80.123542 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 119.601819 
iter  10 value 96.039000
iter  20 value 94.111728
iter  30 value 93.978318
iter  40 value 85.103246
iter  50 value 84.235467
iter  60 value 81.672837
iter  70 value 80.507032
iter  80 value 80.049882
iter  90 value 79.713549
iter 100 value 79.272329
final  value 79.272329 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 105.895766 
iter  10 value 91.548397
iter  20 value 89.398980
iter  30 value 84.456996
iter  40 value 83.045502
iter  50 value 82.028112
iter  60 value 80.115170
iter  70 value 78.830560
iter  80 value 78.407693
iter  90 value 78.331071
iter 100 value 78.224245
final  value 78.224245 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 103.182185 
iter  10 value 94.058504
iter  20 value 94.019039
iter  30 value 93.756955
iter  40 value 93.640538
iter  50 value 93.190652
iter  60 value 87.235011
iter  70 value 84.955705
iter  80 value 83.872681
iter  90 value 82.894386
iter 100 value 82.194218
final  value 82.194218 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 103.611721 
iter  10 value 94.063349
iter  20 value 93.832320
iter  30 value 93.341463
iter  40 value 86.040955
iter  50 value 85.713651
iter  60 value 84.930820
iter  70 value 83.984300
iter  80 value 82.824841
iter  90 value 82.441652
iter 100 value 81.235911
final  value 81.235911 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 102.765772 
iter  10 value 94.194496
iter  20 value 94.055691
iter  30 value 93.786289
iter  40 value 86.062257
iter  50 value 85.132966
iter  60 value 82.340605
iter  70 value 79.636059
iter  80 value 78.851657
iter  90 value 78.489405
iter 100 value 78.233962
final  value 78.233962 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 104.887882 
iter  10 value 94.293047
iter  20 value 93.918413
iter  30 value 85.661801
iter  40 value 84.349675
iter  50 value 82.694415
iter  60 value 81.475150
iter  70 value 80.983655
iter  80 value 80.613475
iter  90 value 79.968340
iter 100 value 79.086421
final  value 79.086421 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 122.409649 
iter  10 value 94.485157
iter  20 value 87.866257
iter  30 value 86.848069
iter  40 value 83.232087
iter  50 value 79.810753
iter  60 value 78.545595
iter  70 value 78.274483
iter  80 value 78.079059
iter  90 value 77.882191
iter 100 value 77.524700
final  value 77.524700 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 108.511677 
iter  10 value 95.099329
iter  20 value 94.069675
iter  30 value 93.996091
iter  40 value 92.709734
iter  50 value 86.511459
iter  60 value 82.914736
iter  70 value 80.831930
iter  80 value 80.039815
iter  90 value 79.472073
iter 100 value 78.800916
final  value 78.800916 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 108.835478 
iter  10 value 94.054318
iter  20 value 86.378641
iter  30 value 83.900771
iter  40 value 83.754861
iter  50 value 81.822968
iter  60 value 80.461265
iter  70 value 79.965109
iter  80 value 79.525003
iter  90 value 78.727732
iter 100 value 78.447773
final  value 78.447773 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 103.890637 
iter  10 value 95.518191
iter  20 value 93.527040
iter  30 value 85.975672
iter  40 value 83.149399
iter  50 value 81.992696
iter  60 value 80.434337
iter  70 value 78.403108
iter  80 value 77.916084
iter  90 value 77.642098
iter 100 value 77.378389
final  value 77.378389 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 105.051628 
final  value 94.054543 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.579476 
final  value 94.054674 
converged
Fitting Repeat 3 

# weights:  103
initial  value 106.716690 
final  value 94.054629 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.836924 
final  value 94.054462 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.397869 
final  value 94.054657 
converged
Fitting Repeat 1 

# weights:  305
initial  value 95.173054 
iter  10 value 92.670022
iter  20 value 91.719598
iter  30 value 91.718493
iter  40 value 91.718021
iter  50 value 91.714266
iter  60 value 91.229540
iter  70 value 91.026421
iter  80 value 91.000816
iter  90 value 89.730215
iter 100 value 88.582816
final  value 88.582816 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 100.694497 
iter  10 value 94.057722
iter  20 value 93.833852
iter  30 value 91.926486
iter  40 value 88.590030
iter  50 value 88.449624
iter  60 value 88.420683
iter  60 value 88.420683
final  value 88.420683 
converged
Fitting Repeat 3 

# weights:  305
initial  value 105.515316 
iter  10 value 93.587588
iter  20 value 93.585826
iter  30 value 93.585057
iter  40 value 93.542431
iter  50 value 93.494738
iter  60 value 93.470764
iter  70 value 91.983467
iter  80 value 80.745529
iter  90 value 80.487118
iter 100 value 80.485293
final  value 80.485293 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 97.579856 
iter  10 value 94.056881
iter  20 value 93.591151
iter  30 value 93.586281
iter  40 value 93.575472
iter  50 value 91.936474
iter  60 value 84.587415
iter  70 value 82.168853
iter  80 value 82.164941
iter  90 value 82.131422
iter 100 value 80.487709
final  value 80.487709 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 98.134411 
iter  10 value 94.057583
iter  20 value 92.731303
iter  30 value 87.552454
iter  40 value 87.547326
iter  50 value 86.897468
iter  60 value 83.815263
iter  70 value 83.266557
iter  80 value 82.645198
iter  90 value 82.516887
iter 100 value 80.529923
final  value 80.529923 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 102.497529 
iter  10 value 94.060849
iter  20 value 87.265332
iter  30 value 82.862713
iter  40 value 82.684922
iter  50 value 82.682125
iter  60 value 81.326581
iter  70 value 80.500162
iter  80 value 80.322855
iter  90 value 79.782999
iter 100 value 76.346479
final  value 76.346479 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 96.999161 
iter  10 value 94.059875
iter  20 value 94.038864
iter  30 value 94.032097
iter  40 value 94.026504
iter  50 value 94.024355
iter  60 value 93.595004
final  value 93.539622 
converged
Fitting Repeat 3 

# weights:  507
initial  value 101.891359 
iter  10 value 93.591462
iter  20 value 93.586632
iter  30 value 93.584807
iter  40 value 93.582851
iter  50 value 93.565377
iter  60 value 92.578235
iter  70 value 83.204955
iter  80 value 82.227100
iter  90 value 82.020701
iter 100 value 81.988911
final  value 81.988911 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 114.204908 
iter  10 value 88.228672
iter  20 value 82.733484
iter  30 value 82.649793
iter  40 value 82.629102
iter  50 value 82.441354
iter  60 value 82.300961
iter  70 value 81.006064
iter  80 value 80.677644
iter  90 value 80.670880
iter  90 value 80.670879
final  value 80.670879 
converged
Fitting Repeat 5 

# weights:  507
initial  value 106.270023 
iter  10 value 89.812945
iter  20 value 86.099893
iter  30 value 86.095424
iter  40 value 86.093872
iter  50 value 85.786783
iter  60 value 85.783171
iter  70 value 85.780964
iter  80 value 85.666849
iter  90 value 85.516986
iter 100 value 85.516907
final  value 85.516907 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 95.973892 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 112.103179 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 99.311659 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.073791 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 101.571740 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 101.881465 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 106.071485 
final  value 94.466823 
converged
Fitting Repeat 3 

# weights:  305
initial  value 114.528241 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.719912 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 99.415424 
final  value 94.484207 
converged
Fitting Repeat 1 

# weights:  507
initial  value 107.553509 
final  value 94.466823 
converged
Fitting Repeat 2 

# weights:  507
initial  value 115.494680 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  507
initial  value 103.978382 
final  value 94.466823 
converged
Fitting Repeat 4 

# weights:  507
initial  value 99.275027 
iter  10 value 94.403760
iter  20 value 92.656325
iter  30 value 91.943298
iter  40 value 91.939942
iter  50 value 91.855939
final  value 91.855935 
converged
Fitting Repeat 5 

# weights:  507
initial  value 112.834967 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  103
initial  value 99.530531 
iter  10 value 94.415475
iter  20 value 93.047403
iter  30 value 92.998279
iter  40 value 87.298091
iter  50 value 84.758239
iter  60 value 84.331869
iter  70 value 83.757936
iter  80 value 83.602140
iter  90 value 83.212100
iter 100 value 82.409647
final  value 82.409647 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 96.742208 
iter  10 value 93.845788
iter  20 value 93.642729
iter  30 value 93.277451
iter  40 value 86.695119
iter  50 value 85.211726
iter  60 value 84.721628
iter  70 value 82.720041
iter  80 value 81.761907
iter  90 value 81.575636
iter 100 value 81.381301
final  value 81.381301 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 96.377001 
iter  10 value 94.486526
iter  20 value 93.436873
iter  30 value 93.030678
iter  40 value 92.967213
iter  50 value 88.764341
iter  60 value 86.556112
iter  70 value 85.802155
iter  80 value 84.653628
iter  90 value 81.622817
iter 100 value 81.361495
final  value 81.361495 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 97.389762 
iter  10 value 94.237200
iter  20 value 87.312664
iter  30 value 86.702581
iter  40 value 86.067953
iter  50 value 85.871652
iter  60 value 83.859335
iter  70 value 83.606563
iter  80 value 83.197652
iter  90 value 83.026254
iter 100 value 83.014650
final  value 83.014650 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 98.761740 
iter  10 value 94.534621
iter  20 value 94.487430
iter  30 value 87.767383
iter  40 value 87.283174
iter  50 value 86.539297
iter  60 value 85.098990
iter  70 value 84.689290
iter  80 value 84.529872
iter  90 value 84.022864
iter 100 value 83.687523
final  value 83.687523 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 99.639158 
iter  10 value 94.506014
iter  20 value 90.671423
iter  30 value 87.190666
iter  40 value 85.730200
iter  50 value 82.694315
iter  60 value 82.268453
iter  70 value 82.037971
iter  80 value 81.013704
iter  90 value 80.445293
iter 100 value 80.080179
final  value 80.080179 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 113.174362 
iter  10 value 94.664445
iter  20 value 93.149288
iter  30 value 87.498833
iter  40 value 85.506363
iter  50 value 85.067006
iter  60 value 82.897158
iter  70 value 82.517106
iter  80 value 82.405137
iter  90 value 82.373308
iter 100 value 82.316117
final  value 82.316117 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 108.749968 
iter  10 value 94.052640
iter  20 value 88.971969
iter  30 value 84.976775
iter  40 value 83.754199
iter  50 value 82.366490
iter  60 value 81.042728
iter  70 value 80.618333
iter  80 value 80.490611
iter  90 value 80.435032
iter 100 value 80.341428
final  value 80.341428 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 116.205099 
iter  10 value 94.440017
iter  20 value 87.810927
iter  30 value 86.862203
iter  40 value 86.435043
iter  50 value 86.252584
iter  60 value 86.131444
iter  70 value 85.553495
iter  80 value 84.059013
iter  90 value 82.158005
iter 100 value 81.294603
final  value 81.294603 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 127.469457 
iter  10 value 94.521141
iter  20 value 94.051972
iter  30 value 87.658541
iter  40 value 85.630642
iter  50 value 84.029213
iter  60 value 82.993888
iter  70 value 81.955043
iter  80 value 81.238991
iter  90 value 80.213391
iter 100 value 79.812422
final  value 79.812422 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 123.828450 
iter  10 value 95.096185
iter  20 value 93.201878
iter  30 value 93.041523
iter  40 value 90.871156
iter  50 value 89.797910
iter  60 value 86.419146
iter  70 value 84.126261
iter  80 value 82.941417
iter  90 value 81.609484
iter 100 value 80.772496
final  value 80.772496 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 113.526224 
iter  10 value 93.807576
iter  20 value 88.653087
iter  30 value 87.561068
iter  40 value 85.649654
iter  50 value 84.544830
iter  60 value 81.701980
iter  70 value 80.856576
iter  80 value 80.185963
iter  90 value 80.021691
iter 100 value 79.842211
final  value 79.842211 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 104.059604 
iter  10 value 94.577839
iter  20 value 84.725754
iter  30 value 83.829547
iter  40 value 83.318407
iter  50 value 83.225849
iter  60 value 82.920421
iter  70 value 82.855143
iter  80 value 82.628885
iter  90 value 81.144438
iter 100 value 80.902099
final  value 80.902099 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 120.147518 
iter  10 value 96.009099
iter  20 value 94.483484
iter  30 value 87.966567
iter  40 value 84.644881
iter  50 value 84.327887
iter  60 value 83.904143
iter  70 value 82.392783
iter  80 value 82.124441
iter  90 value 81.675169
iter 100 value 80.796296
final  value 80.796296 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 121.089826 
iter  10 value 94.942314
iter  20 value 87.578117
iter  30 value 84.211215
iter  40 value 83.532310
iter  50 value 82.815397
iter  60 value 81.782640
iter  70 value 80.822328
iter  80 value 79.913589
iter  90 value 79.857543
iter 100 value 79.787651
final  value 79.787651 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 96.876989 
final  value 94.486237 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.731062 
final  value 94.485663 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.914983 
final  value 94.485726 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.994135 
iter  10 value 94.485908
final  value 94.484278 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.864897 
iter  10 value 94.468252
iter  20 value 94.467170
final  value 94.466877 
converged
Fitting Repeat 1 

# weights:  305
initial  value 94.824872 
iter  10 value 94.489118
iter  20 value 94.484235
iter  30 value 94.339899
iter  40 value 92.285429
iter  50 value 91.975537
iter  60 value 91.290723
iter  70 value 91.289523
iter  80 value 91.289218
iter  90 value 91.288653
iter 100 value 85.599246
final  value 85.599246 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 103.547454 
iter  10 value 94.489509
iter  20 value 94.436457
iter  30 value 84.503078
final  value 83.678465 
converged
Fitting Repeat 3 

# weights:  305
initial  value 107.596710 
iter  10 value 94.488784
iter  20 value 93.793864
iter  30 value 87.170116
iter  40 value 83.055151
iter  50 value 82.991603
iter  60 value 81.750071
iter  70 value 79.819812
iter  80 value 79.331501
iter  90 value 79.293487
final  value 79.293032 
converged
Fitting Repeat 4 

# weights:  305
initial  value 102.166471 
iter  10 value 94.490180
iter  20 value 94.304552
iter  30 value 83.732357
iter  40 value 83.731265
iter  50 value 83.730982
iter  50 value 83.730981
iter  50 value 83.730981
final  value 83.730981 
converged
Fitting Repeat 5 

# weights:  305
initial  value 95.306149 
iter  10 value 94.488554
iter  20 value 92.300718
iter  30 value 86.303429
iter  40 value 85.919066
iter  50 value 85.911704
iter  60 value 85.910844
final  value 85.909345 
converged
Fitting Repeat 1 

# weights:  507
initial  value 100.755522 
iter  10 value 94.492103
iter  20 value 94.299360
iter  30 value 88.901845
iter  40 value 86.043212
iter  50 value 83.482237
iter  60 value 83.477947
iter  70 value 83.477081
final  value 83.476645 
converged
Fitting Repeat 2 

# weights:  507
initial  value 99.824106 
iter  10 value 94.491321
iter  20 value 94.484239
iter  30 value 94.003812
iter  40 value 91.868073
iter  50 value 91.615043
iter  60 value 83.898624
iter  70 value 82.514069
iter  80 value 82.508359
iter  90 value 82.457638
iter 100 value 82.178302
final  value 82.178302 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 96.777018 
iter  10 value 94.492338
iter  20 value 94.447724
iter  30 value 93.951886
iter  40 value 93.521623
iter  50 value 93.463579
iter  60 value 93.461423
final  value 93.461352 
converged
Fitting Repeat 4 

# weights:  507
initial  value 106.342538 
iter  10 value 94.475539
iter  20 value 94.467950
final  value 94.466985 
converged
Fitting Repeat 5 

# weights:  507
initial  value 99.243919 
iter  10 value 94.492996
iter  20 value 94.484812
iter  30 value 93.671716
iter  40 value 93.115192
iter  50 value 93.112725
final  value 93.111455 
converged
Fitting Repeat 1 

# weights:  305
initial  value 125.208290 
iter  10 value 117.848864
iter  20 value 116.753720
iter  30 value 107.700617
iter  40 value 106.283358
iter  50 value 105.517128
iter  60 value 105.247672
iter  70 value 105.070186
iter  80 value 104.981381
iter  90 value 104.368496
iter 100 value 102.778279
final  value 102.778279 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 129.659506 
iter  10 value 117.580599
iter  20 value 107.639202
iter  30 value 104.846727
iter  40 value 104.573799
iter  50 value 104.326043
iter  60 value 104.070462
iter  70 value 103.269560
iter  80 value 102.266612
iter  90 value 101.791295
iter 100 value 101.634369
final  value 101.634369 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 124.150259 
iter  10 value 114.966036
iter  20 value 106.986011
iter  30 value 105.502426
iter  40 value 103.826965
iter  50 value 102.682158
iter  60 value 102.551108
iter  70 value 102.137673
iter  80 value 101.615582
iter  90 value 101.369495
iter 100 value 101.241449
final  value 101.241449 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 132.159450 
iter  10 value 117.930228
iter  20 value 108.528889
iter  30 value 106.491474
iter  40 value 103.976329
iter  50 value 102.126758
iter  60 value 101.639328
iter  70 value 101.556484
iter  80 value 101.111279
iter  90 value 100.967520
iter 100 value 100.865990
final  value 100.865990 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 135.115948 
iter  10 value 117.954982
iter  20 value 117.875664
iter  30 value 107.782290
iter  40 value 105.470581
iter  50 value 104.194660
iter  60 value 103.716174
iter  70 value 102.631250
iter  80 value 102.330611
iter  90 value 102.325684
iter 100 value 102.308014
final  value 102.308014 
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 -- Wed Mar 27 23:27:04 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 
 41.673   1.646  43.788