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Nomogram (rms) for model with shrunk coefficients

Frank E Harrell Jr 
You are using an informal shrinkage method.  It is much better to use 
penalized maximum likelihood estimation, built in to lrm.

If you really want to go the informal route, compute the linear 
predictor from your final estimates and use ols( ) to predict that from 
the component variables (you'll get an R^2 of 1.0 so specify sigma= to 
ols) and use nomogram on the result.

Frank