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

Attaching package: ‘survival’

The following object is masked from ‘package:popEpi’:

    Surv

Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Error: processing vignette 'flup.rnw' failed with diagnostics:
Running 'texi2dvi' on 'flup.tex' failed.
LaTeX errors:
! Paragraph ended before \@tempa was complete.
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                   \par 
l.335 
      
! LaTeX Error: Not in outer par mode.

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Type  H <return>  for immediate help.
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! Paragraph ended before \@tempa was complete.
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                   \par 
l.675 
      
! LaTeX Error: Not in outer par mode.

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! Paragraph ended before \@tempa was complete.
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l.1165 
       
! LaTeX Error: Not in outer par mode.

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! Paragraph ended before \@tempa was complete.
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l.1290 
       
! LaTeX Error: Not in outer par mode.

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! Paragraph ended before \@tempa was complete.
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! LaTeX Error: Not in outer par mode.

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! Paragraph ended before \@tempa was complete.
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l.1425 
       
! LaTeX Error: Not in outer par mode.

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! Paragraph ended before \@tempa was complete.
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l.1582 
       
! LaTeX Error: Not in outer par mode.

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! Paragraph ended before \@tempa was complete.
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l.1619 
       
! LaTeX Error: Not in outer par mode.

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! Paragraph ended before \@tempa was complete.
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! LaTeX Error: Not in outer par mode.

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! Paragraph ended before \@tempa was complete.
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l.1687 
       
! LaTeX Error: Not in outer par mode.

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! Paragraph ended before \@tempa was complete.
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l.1765 
       
! LaTeX Error: Not in outer par mode.

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! Paragraph ended before \@tempa was complete.
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l.1808 
       
! LaTeX Error: Not in outer par mode.

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! Paragraph ended before \@tempa was complete.
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                   \par 
l.1920 
       
! LaTeX Error: Something's wrong--perhaps a missing \item.

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! LaTeX Error: Something's wrong--perhaps a missing \item.

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! LaTeX Error: \begin{figure} on input line 1897 ended by \end{Soutput}.

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! LaTeX Error: \begin{figure} on input line 1897 ended by \end{Schunk}.

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! Missing } inserted.
<inserted text> 
                }
l.1935 \end{Schunk}
                   
! LaTeX Error: Not in outer par mode.

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! LaTeX Error: \begin{figure} on input line 1939 ended by \end{document}.

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 ...                                              
! You can't use `\end' in internal vertical mode.
\AP@enddocument ...\z@ \Call@AtVeryVeryEnd \@@end 
                                                  
l.2097 \end{document}
                     
! LaTeX Error: \begin{figure} on input line 1939 ended by \end{document}.

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Type  H <return>  for immediate help.
 ...                                              
! Emergency stop.
<*> \nonstopmode \input ./flup.tex
                                  
*** (job aborted, no legal \end found)

!  ==> Fatal error occurred, no output PDF file produced!
--- 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
Error: processing vignette 'simLexis.rnw' failed with diagnostics:
Running 'texi2dvi' on 'simLexis.tex' failed.
LaTeX errors:
! Paragraph ended before \@tempa was complete.
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                   \par 
l.250 
      
! LaTeX Error: Not in outer par mode.

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Type  H <return>  for immediate help.
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! Paragraph ended before \@tempa was complete.
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                   \par 
l.697 
      
! LaTeX Error: Not in outer par mode.

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! Paragraph ended before \@tempa was complete.
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l.1071 
       
! LaTeX Error: Not in outer par mode.

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! Paragraph ended before \@tempa was complete.
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! LaTeX Error: Not in outer par mode.

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Type  H <return>  for immediate help.
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! Paragraph ended before \@tempa was complete.
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l.1159 
       
! LaTeX Error: Not in outer par mode.

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Type  H <return>  for immediate help.
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! Paragraph ended before \@tempa was complete.
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                   \par 
l.1205 
       
! LaTeX Error: \begin{figure} on input line 1204 ended by \end{document}.

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Type  H <return>  for immediate help.
 ...                                              
! You can't use `\end' in internal vertical mode.
\AP@enddocument ...\z@ \Call@AtVeryVeryEnd \@@end 
                                                  
l.1755 \end{document}
                     
! LaTeX Error: \begin{figure} on input line 1204 ended by \end{document}.

See the LaTeX manual or LaTeX Companion for explanation.
Type  H <return>  for immediate help.
 ...                                              
! Emergency stop.
<*> \nonstopmode \input ./simLexis.tex
                                      
*** (job aborted, no legal \end found)

!  ==> Fatal error occurred, no output PDF file produced!
--- failed 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 ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
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Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Warning in predict.lm(object, newdata, se.fit, scale = residual.scale, type = if (type ==  :
  prediction from a rank-deficient fit may be misleading
Error: processing vignette 'yll.rnw' failed with diagnostics:
Running 'texi2dvi' on 'yll.tex' failed.
LaTeX errors:
! Paragraph ended before \@tempa was complete.
<to be read again> 
                   \par 
l.84 
     
! LaTeX Error: Not in outer par mode.

See the LaTeX manual or LaTeX Companion for explanation.
Type  H <return>  for immediate help.
 ...                                              
! Paragraph ended before \@tempa was complete.
<to be read again> 
                   \par 
l.590 
      
! LaTeX Error: Not in outer par mode.

See the LaTeX manual or LaTeX Companion for explanation.
Type  H <return>  for immediate help.
 ...                                              
! Paragraph ended before \@tempa was complete.
<to be read again> 
                   \par 
l.602 
      
! LaTeX Error: Not in outer par mode.

See the LaTeX manual or LaTeX Companion for explanation.
Type  H <return>  for immediate help.
 ...                                              
! Paragraph ended before \@tempa was complete.
<to be read again> 
                   \par 
l.615 
      
! LaTeX Error: \begin{figure} on input line 603 ended by \end{document}.

See the LaTeX manual or LaTeX Companion for explanation.
Type  H <return>  for immediate help.
 ...                                              
! You can't use `\end' in internal vertical mode.
\AP@enddocument ...\z@ \Call@AtVeryVeryEnd \@@end 
                                                  
l.844 \end{document}
                    
! LaTeX Error: \begin{figure} on input line 603 ended by \end{document}.

See the LaTeX manual or LaTeX Companion for explanation.
Type  H <return>  for immediate help.
 ...                                              
! Emergency stop.
<*> \nonstopmode \input ./yll.tex
                                 
*** (job aborted, no legal \end found)

!  ==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘yll.rnw’

SUMMARY: processing the following files failed:
  ‘flup.rnw’ ‘simLexis.rnw’ ‘yll.rnw’

Error: Vignette re-building failed.
Execution halted