Yes you use the linear predictor from your regression as the dependent
variable in the rms package's ols function.  You will get an R^2 of 1.0. 
You can depict the ols model with nomogram().  Note that there are so many
statistical issues in competing risks that doing this without a statistician
is risky.
Frank


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Frank Harrell
Department of Biostatistics, Vanderbilt University
--
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