Rd file 'predict.plus.Rd':
  \examples lines wider than 100 characters:
     extracted.values <- predict(object, lam = sort(object$lam.path[1:10],decreasing=TRUE), newx=object$x)

These lines will be truncated in the PDF manual.
Rd file 'predict.plus.Rd':
  \examples lines wider than 100 characters:
     extracted.values <- predict(object, lam = sort(object$lam.path[1:10],decreasing=TRUE), newx=object$x)

These lines will be truncated in the PDF manual.
Rd file 'predict.plus.Rd':
  \examples lines wider than 100 characters:
     extracted.values <- predict(object, lam = sort(object$lam.path[1:10],decreasing=TRUE), newx=object$x)

These lines will be truncated in the PDF manual.
Rd file 'predict.plus.Rd':
  \examples lines wider than 100 characters:
     extracted.values <- predict(object, lam = sort(object$lam.path[1:10],decreasing=TRUE), newx=object$x)

These lines will be truncated in the PDF manual.
Rd file 'predict.plus.Rd':
  \examples lines wider than 100 characters:
     extracted.values <- predict(object, lam = sort(object$lam.path[1:10],decreasing=TRUE), newx=object$x)

These lines will be truncated in the PDF manual.
Rd file 'predict.plus.Rd':
  \examples lines wider than 100 characters:
     extracted.values <- predict(object, lam = sort(object$lam.path[1:10],decreasing=TRUE), newx=object$x)

These lines will be truncated in the PDF manual.