CRAN Package Check Results for Package Epi

Last updated on 2021-10-25 00:49:10 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.44 24.46 417.52 441.98 WARN
r-devel-linux-x86_64-debian-gcc 2.44 21.19 304.73 325.92 WARN
r-devel-linux-x86_64-fedora-clang 2.44 534.92 WARN
r-devel-linux-x86_64-fedora-gcc 2.44 524.00 WARN
r-devel-windows-x86_64 2.44 40.00 255.00 295.00 OK --no-vignettes
r-devel-windows-x86_64-gcc10-UCRT 2.44 WARN
r-patched-linux-x86_64 2.44 28.92 402.33 431.25 WARN
r-patched-solaris-x86 2.44 689.80 WARN
r-release-linux-x86_64 2.44 24.04 405.27 429.31 WARN
r-release-macos-arm64 2.44 OK
r-release-macos-x86_64 2.44 OK
r-release-windows-ix86+x86_64 2.44 39.00 331.00 370.00 OK --no-vignettes
r-oldrel-macos-x86_64 2.44 OK
r-oldrel-windows-ix86+x86_64 2.44 57.00 357.00 414.00 OK --no-vignettes

Check Details

Version: 2.44
Check: package dependencies
Result: NOTE
    Package suggested but not available for checking: 'popEpi'
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64-gcc10-UCRT, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64

Version: 2.44
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building 'crisk.rnw' using Sweave
    
    Error: processing vignette 'crisk.rnw' failed with diagnostics:
     chunk 2
    Error in library(popEpi) : there is no package called 'popEpi'
    
    --- failed re-building 'crisk.rnw'
    
    --- re-building 'flup.rnw' using Sweave
    
    Error: processing vignette 'flup.rnw' failed with diagnostics:
     chunk 11
    Error in library(popEpi) : there is no package called 'popEpi'
    
    --- failed 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 == :
     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
    --- finished re-building 'yll.rnw'
    
    SUMMARY: processing the following files failed:
     'crisk.rnw' 'flup.rnw'
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64

Version: 2.44
Check: Rd cross-references
Result: NOTE
    Undeclared packages ‘ilc’, ‘demography’ in Rd xrefs
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 2.44
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
    --- re-building ‘crisk.rnw’ using Sweave
    
    Error: processing vignette 'crisk.rnw' failed with diagnostics:
     chunk 2
    Error in library(popEpi) : there is no package called ‘popEpi’
    
    --- failed re-building ‘crisk.rnw’
    
    --- re-building ‘flup.rnw’ using Sweave
    
    Error: processing vignette 'flup.rnw' failed with diagnostics:
     chunk 11
    Error in library(popEpi) : there is no package called ‘popEpi’
    
    --- failed 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 == :
     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
    --- finished re-building ‘yll.rnw’
    
    SUMMARY: processing the following files failed:
     ‘crisk.rnw’ ‘flup.rnw’
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 2.44
Check: running R code from vignettes
Result: WARN
    Errors in running code in vignettes:
    when running code in 'crisk.rnw'
    
    > options(width = 90, SweaveHooks = list(fig = function() par(mar = c(3,
    + 3, 1, 1), mgp = c(3, 1, 0)/1.6, las = 1, bty = "n")))
    
    > library(Epi)
    
    > library(popEpi)
    
     When sourcing 'crisk.R':
    Error: there is no package called 'popEpi'
    Execution halted
    when running code in 'flup.rnw'
    
    > options(width = 90, SweaveHooks = list(fig = function() par(mar = c(3,
    + 3, 1, 1), mgp = c(3, 1, 0)/1.6, las = 1, bty = "n")))
    
    > library(Epi)
    
    > print(sessionInfo(), l = F)
    R Under development (unstable) (2021-10-21 r81082 ucrt)
    Platform: x86_64-w64-mingw32/x64 (64-bit)
    Running under: Windows Server x64 (build 20348)
    
    Matrix products: default
    
    attached base packages:
    [1] stats graphics grDevices utils datasets methods base
    
    other attached packages:
    [1] Epi_2.44
    
    loaded via a namespace (and not attached):
     [1] Rcpp_1.0.7 magrittr_2.0.1 MASS_7.3-54 splines_4.2.0
     [5] tidyselect_1.1.1 lattice_0.20-45 R6_2.5.1 rlang_0.4.12
     [9] fansi_0.5.0 plyr_1.8.6 dplyr_1.0.7 tools_4.2.0
    [13] cmprsk_2.2-10 parallel_4.2.0 grid_4.2.0 nlme_3.1-153
    [17] data.table_1.14.2 mgcv_1.8-38 utf8_1.2.2 DBI_1.1.1
    [21] ellipsis_0.3.2 survival_3.2-13 assertthat_0.2.1 etm_1.1.1
    [25] tibble_3.1.5 lifecycle_1.0.1 numDeriv_2016.8-1.1 crayon_1.4.1
    [29] Matrix_1.3-4 purrr_0.3.4 vctrs_0.3.8 glue_1.4.2
    [33] compiler_4.2.0 pillar_1.6.4 generics_0.1.0 zoo_1.8-9
    [37] pkgconfig_2.0.3
    
    > data(DMlate)
    
    > head(DMlate)
     sex dobth dodm dodth dooad doins dox
    50185 F 1940.256 1998.917 NA NA NA 2009.997
    307563 M 1939.218 2003.309 NA 2007.446 NA 2009.997
    294104 F 1918.301 2004.552 NA NA NA 2009.997
    336439 F 1965.225 2009.261 NA NA NA 2009.997
    245651 M 1932.877 2008.653 NA NA NA 2009.997
    216824 F 1927.870 2007.886 2009.923 NA NA 2009.923
    
    > dmL <- Lexis(entry = list(per = dodm, age = dodm -
    + dobth, tfD = 0), exit = list(per = dox), exit.status = factor(!is.na(dodth),
    + labels .... [TRUNCATED]
    NOTE: entry.status has been set to "DM" for all.
    NOTE: Dropping 4 rows with duration of follow up < tol
    
    > timeScales(dmL)
    [1] "per" "age" "tfD"
    
    > str(dmL)
    Classes 'Lexis' and 'data.frame': 9996 obs. of 14 variables:
     $ per : num 1999 2003 2005 2009 2009 ...
     $ age : num 58.7 64.1 86.3 44 75.8 ...
     $ tfD : num 0 0 0 0 0 0 0 0 0 0 ...
     $ lex.dur: num 11.08 6.689 5.446 0.736 1.344 ...
     $ lex.Cst: Factor w/ 2 levels "DM","Dead": 1 1 1 1 1 1 1 1 1 1 ...
     $ lex.Xst: Factor w/ 2 levels "DM","Dead": 1 1 1 1 1 2 1 1 2 1 ...
     $ lex.id : int 1 2 3 4 5 6 7 8 9 10 ...
     $ sex : Factor w/ 2 levels "M","F": 2 1 2 2 1 2 1 1 2 1 ...
     $ dobth : num 1940 1939 1918 1965 1933 ...
     $ dodm : num 1999 2003 2005 2009 2009 ...
     $ dodth : num NA NA NA NA NA ...
     $ dooad : num NA 2007 NA NA NA ...
     $ doins : num NA NA NA NA NA NA NA NA NA NA ...
     $ dox : num 2010 2010 2010 2010 2010 ...
     - attr(*, "time.scales")= chr [1:3] "per" "age" "tfD"
     - attr(*, "time.since")= chr [1:3] "" "" ""
     - attr(*, "breaks")=List of 3
     ..$ per: NULL
     ..$ age: NULL
     ..$ tfD: NULL
    
    > head(dmL)[, 1:10]
     per age tfD lex.dur lex.Cst lex.Xst lex.id sex dobth dodm
    50185 1998.917 58.66119 0 11.0800821 DM DM 1 F 1940.256 1998.917
    307563 2003.309 64.09035 0 6.6885695 DM DM 2 M 1939.218 2003.309
    294104 2004.552 86.25051 0 5.4455852 DM DM 3 F 1918.301 2004.552
    336439 2009.261 44.03559 0 0.7364819 DM DM 4 F 1965.225 2009.261
    245651 2008.653 75.77550 0 1.3442847 DM DM 5 M 1932.877 2008.653
    216824 2007.886 80.01643 0 2.0369610 DM Dead 6 F 1927.870 2007.886
    
    > summary.Lexis(dmL, timeScales = TRUE)
    
    Transitions:
     To
    From DM Dead Records: Events: Risk time: Persons:
     DM 7497 2499 9996 2499 54273.27 9996
    
    Timescales:
    per age tfD
     "" "" ""
    
    > plot(dmL)
    
    > par(mar = c(3, 3, 1, 1), mgp = c(3, 1, 0)/1.6)
    
    > plot(dmL, 1:2, lwd = 1, col = c("blue", "red")[dmL$sex],
    + grid = TRUE, lty.grid = 1, col.grid = gray(0.7), xlim = 1960 +
    + c(0, 60), .... [TRUNCATED]
    
    > points(dmL, 1:2, pch = c(NA, 3)[dmL$lex.Xst], col = "lightgray",
    + lwd = 3, cex = 0.3)
    
    > points(dmL, 1:2, pch = c(NA, 3)[dmL$lex.Xst], col = c("blue",
    + "red")[dmL$sex], lwd = 1, cex = 0.3)
    
    > box(bty = "o")
    
    > dmS1 <- splitLexis(dmL, "age", breaks = seq(0, 100,
    + 5))
    
    > summary(dmL)
    
    Transitions:
     To
    From DM Dead Records: Events: Risk time: Persons:
     DM 7497 2499 9996 2499 54273.27 9996
    
    > summary(dmS1)
    
    Transitions:
     To
    From DM Dead Records: Events: Risk time: Persons:
     DM 18328 2499 20827 2499 54273.27 9996
    
    > wh.id <- c(9, 27, 52, 484)
    
    > subset(dmL, lex.id %in% wh.id)[, 1:10]
     per age tfD lex.dur lex.Cst lex.Xst lex.id sex dobth dodm
    430048 1998.956 61.87269 0 9.508556 DM Dead 9 F 1937.083 1998.956
    22671 2000.042 52.71184 0 9.954825 DM DM 27 M 1947.331 2000.042
    338459 1998.249 61.85626 0 11.748118 DM DM 52 F 1936.393 1998.249
    274124 1998.260 62.37919 0 10.929500 DM Dead 484 F 1935.881 1998.260
    
    > subset(dmS1, lex.id %in% wh.id)[, 1:10]
     lex.id per age tfD lex.dur lex.Cst lex.Xst sex dobth dodm
    14 9 1998.956 61.87269 0.000000 3.127310 DM DM F 1937.083 1998.956
    15 9 2002.083 65.00000 3.127310 5.000000 DM DM F 1937.083 1998.956
    16 9 2007.083 70.00000 8.127310 1.381246 DM Dead F 1937.083 1998.956
    54 27 2000.042 52.71184 0.000000 2.288159 DM DM M 1947.331 2000.042
    55 27 2002.331 55.00000 2.288159 5.000000 DM DM M 1947.331 2000.042
    56 27 2007.331 60.00000 7.288159 2.666667 DM DM M 1947.331 2000.042
    108 52 1998.249 61.85626 0.000000 3.143737 DM DM F 1936.393 1998.249
    109 52 2001.393 65.00000 3.143737 5.000000 DM DM F 1936.393 1998.249
    110 52 2006.393 70.00000 8.143737 3.604381 DM DM F 1936.393 1998.249
    1004 484 1998.260 62.37919 0.000000 2.620808 DM DM F 1935.881 1998.260
    1005 484 2000.881 65.00000 2.620808 5.000000 DM DM F 1935.881 1998.260
    1006 484 2005.881 70.00000 7.620808 3.308693 DM Dead F 1935.881 1998.260
    
    > dmS2 <- splitLexis(dmS1, "tfD", breaks = c(0, 1, 2,
    + 5, 10, 20, 30, 40))
    
    > subset(dmS2, lex.id %in% wh.id)[, 1:10]
     lex.id per age tfD lex.dur lex.Cst lex.Xst sex dobth dodm
    31 9 1998.956 61.87269 0.000000 1.0000000 DM DM F 1937.083 1998.956
    32 9 1999.956 62.87269 1.000000 1.0000000 DM DM F 1937.083 1998.956
    33 9 2000.956 63.87269 2.000000 1.1273101 DM DM F 1937.083 1998.956
    34 9 2002.083 65.00000 3.127310 1.8726899 DM DM F 1937.083 1998.956
    35 9 2003.956 66.87269 5.000000 3.1273101 DM DM F 1937.083 1998.956
    36 9 2007.083 70.00000 8.127310 1.3812457 DM Dead F 1937.083 1998.956
    111 27 2000.042 52.71184 0.000000 1.0000000 DM DM M 1947.331 2000.042
    112 27 2001.042 53.71184 1.000000 1.0000000 DM DM M 1947.331 2000.042
    113 27 2002.042 54.71184 2.000000 0.2881588 DM DM M 1947.331 2000.042
    114 27 2002.331 55.00000 2.288159 2.7118412 DM DM M 1947.331 2000.042
    115 27 2005.042 57.71184 5.000000 2.2881588 DM DM M 1947.331 2000.042
    116 27 2007.331 60.00000 7.288159 2.6666667 DM DM M 1947.331 2000.042
    229 52 1998.249 61.85626 0.000000 1.0000000 DM DM F 1936.393 1998.249
    230 52 1999.249 62.85626 1.000000 1.0000000 DM DM F 1936.393 1998.249
    231 52 2000.249 63.85626 2.000000 1.1437372 DM DM F 1936.393 1998.249
    232 52 2001.393 65.00000 3.143737 1.8562628 DM DM F 1936.393 1998.249
    233 52 2003.249 66.85626 5.000000 3.1437372 DM DM F 1936.393 1998.249
    234 52 2006.393 70.00000 8.143737 1.8562628 DM DM F 1936.393 1998.249
    235 52 2008.249 71.85626 10.000000 1.7481177 DM DM F 1936.393 1998.249
    2084 484 1998.260 62.37919 0.000000 1.0000000 DM DM F 1935.881 1998.260
    2085 484 1999.260 63.37919 1.000000 1.0000000 DM DM F 1935.881 1998.260
    2086 484 2000.260 64.37919 2.000000 0.6208077 DM DM F 1935.881 1998.260
    2087 484 2000.881 65.00000 2.620808 2.3791923 DM DM F 1935.881 1998.260
    2088 484 2003.260 67.37919 5.000000 2.6208077 DM DM F 1935.881 1998.260
    2089 484 2005.881 70.00000 7.620808 2.3791923 DM DM F 1935.881 1998.260
    2090 484 2008.260 72.37919 10.000000 0.9295003 DM Dead F 1935.881 1998.260
    
    > library(popEpi)
    
     When sourcing 'flup.R':
    Error: there is no package called 'popEpi'
    Execution halted
    
     'crisk.rnw'... failed
     'flup.rnw'... failed
     'simLexis.rnw'... OK
     'yll.rnw'... OK
Flavor: r-devel-windows-x86_64-gcc10-UCRT

Version: 2.44
Check: re-building of vignette outputs
Result: NOTE
    Error(s) in re-building vignettes:
    --- re-building 'crisk.rnw' using Sweave
    
    Error: processing vignette 'crisk.rnw' failed with diagnostics:
     chunk 2
    Error in library(popEpi) : there is no package called 'popEpi'
    
    --- failed re-building 'crisk.rnw'
    
    --- re-building 'flup.rnw' using Sweave
    
    Error: processing vignette 'flup.rnw' failed with diagnostics:
     chunk 11
    Error in library(popEpi) : there is no package called 'popEpi'
    
    --- failed 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 == :
     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
    --- finished re-building 'yll.rnw'
    
    SUMMARY: processing the following files failed:
     'crisk.rnw' 'flup.rnw'
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-devel-windows-x86_64-gcc10-UCRT