Error(s) in re-building vignettes:
--- re-building 'flup.rnw' using Sweave

Attaching package: 'survival'

The following object is masked from 'package:popEpi':

    Surv

Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
--- finished re-building 'flup.rnw'

--- re-building 'simLexis.rnw' using Sweave
Warning in coxph(Surv(DMdur, DMdur + lex.dur, lex.Xst %in% c("Dead(Ins)",  :
  a variable appears on both the left and right sides of the formula
--- finished re-building 'simLexis.rnw'

--- re-building 'yll.rnw' using Sweave
Warning in d * offset :
  longer object length is not a multiple of shorter object length
Warning in d * offset :
  longer object length is not a multiple of shorter object length
Warning in d * offset :
  longer object length is not a multiple of shorter object length
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in system(paste(shQuote(texi2dvi), if (quiet) "--quiet" else "",  :
  running command '"D:\compiler\texmf\miktex\bin\texify.exe" --quiet --pdf "yll.tex" --max-iterations=20 -I "D:/RCompile/recent/R/share/texmf/tex/latex" -I "D:/RCompile/recent/R/share/texmf/bibtex/bst"' had status 1
Error: processing vignette 'yll.rnw' failed with diagnostics:
Failed to locate 'texi2pdf' output file 'yll.pdf' for vignette with name 'yll' and engine 'utils::Sweave'. The following files exist in working directory 'd:\RCompile\CRANpkg\local\4.1\Epi.Rcheck\vign_test\Epi\vignettes': 'fixall' (606 bytes), 'flup-Ieff.pdf' (9032 bytes), 'flup-IeffR.pdf' (9261 bytes), 'flup-RR-int.pdf' (28349 bytes), 'flup-box1.pdf' (4910 bytes), 'flup-box4.pdf' (4878 bytes), 'flup-dmL1.pdf' (104531 bytes), 'flup-dmL2.pdf' (228595 bytes), 'flup-dur-int-RR.pdf' (39463 bytes), 'flup-dur-int.pdf' (64402 bytes), 'flup-ins-time.pdf' (26243 bytes), 'flup-mbox.pdf' (6604 bytes), 'flup-mboxr.pdf' (6219 bytes), 'flup-pr-a.pdf' (5204 bytes), 'flup-sep-HR.pdf' (17414 bytes), 'flup-sep-mort.pdf' (26276 bytes), 'flup-splint.pdf' (45317 bytes), 'flup.R' (19531 bytes), 'flup.aux' (21409 bytes), 'flup.log' (59501 bytes), 'flup.out' (2110 bytes), 'flup.pdf' (988739 bytes), 'flup.rnw' (60968 bytes), 'flup.tex' (91375 bytes), 'flup.toc' (2552 bytes), 'sL.tex' (75196 bytes), 'simLexis-boxes.pdf' (4829 bytes), 'simLexis-comp-0.pdf' (12652 bytes), 'simLexis-mort-int.pdf' (42608 bytes), 'simLexis-pstate0.pdf' (7850 bytes), 'simLexis-pstatex.pdf' (10206 bytes), 'simLexis-pstatey.pdf' (10331 bytes), 'simLexis.R' (17419 bytes), 'simLexis.aux' (12183 bytes), 'simLexis.log' (55526 bytes), 'simLexis.out' (2213 bytes), 'simLexis.pdf' (403561 bytes), 'simLexis.rnw' (51190 bytes), 'simLexis.tex' (73854 bytes), 'simLexis.toc' (2747 bytes), 'toparticle.tex' (3694 bytes), 'topreport.tex' (4492 bytes), 'useful.tex' (10137 bytes), 'yl.tex' (38176 bytes), 'yll-imm.pdf' (15915 bytes), 'yll-states.pdf' (4913 bytes), 'yll-sus.pdf' (15926 bytes), 'yll-tot.pdf' (15936 bytes), 'yll.R' (7240 bytes), 'yll.rnw' (21974 bytes), 'yll.tex' (36767 bytes)
--- failed re-building 'yll.rnw'

SUMMARY: processing the following file failed:
  'yll.rnw'

Error: Vignette re-building failed.
Execution halted