Error(s) in re-building vignettes:
--- re-building 'FeaLect_feature_scorer.Rnw' using Sweave
Loading required package: lars
Loaded lars 1.3

Loading required package: rms
Loading required package: Hmisc

Attaching package: 'Hmisc'

The following objects are masked from 'package:base':

    format.pval, units

22 samples and 236 features.
***********************************************
Scoring 236 features using 22 samples.
 - started at: 2024-03-28 06:33:22.37992
 - sampling.index: 1
 - sampling.index: 2
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 3
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 4
 - sampling.index: 5
 - sampling.index: 6
 - sampling.index: 7
 - sampling.index: 8
 - sampling.index: 9
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 10
 - sampling.index: 11
 - sampling.index: 12
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 13
 - sampling.index: 14
 - sampling.index: 15
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 16
 - sampling.index: 17
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 18
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 19
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 20
 - sampling.index: 21
 - sampling.index: 22
 - sampling.index: 23
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 24
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 25
 - sampling.index: 26
 - sampling.index: 27
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 28
 - sampling.index: 29
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 30
 - sampling.index: 31
 - sampling.index: 32
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 33
 - sampling.index: 34
 - sampling.index: 35
 - sampling.index: 36
 - sampling.index: 37
 - sampling.index: 38
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 39
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 40
 - sampling.index: 41
 - sampling.index: 42
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 43
 - sampling.index: 44
 - sampling.index: 45
 - sampling.index: 46
 - sampling.index: 47
 - sampling.index: 48
 - sampling.index: 49
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 50
 - sampling.index: 51
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
Warning in lrm(L_ ~ linear.scores) :
  Unable to fit model using "lrm.fit"
 - sampling.index: 52
 - sampling.index: 53
 - sampling.index: 54
 - sampling.index: 55
----------------again