[R] Nomogram (rms) for model with shrunk coefficients

Dear R-users, I have used the nomogram function from the rms package for a logistic regresison model made with lrm(). Everything works perfectly (r version 2.15.1 on a mac). My question is this: if my final model is not the one created by lrm, but I internally validated the model and 'shrunk' the

[R] Datadist error

##Error I described f.sum<-summary(m.fulldesign) ##Error I described nomogram(m.full)##Error I described Best regards, Sander van Kuijk [[alternative HTML version deleted]] __ R-help@r-project.org mailing list h

[R] selecting predictors for model from dataframe

et) #Now in this new set of data, I want to build a model, but only using the coefficients that were significant #in the fsubset model, thus from "variables" I've tried everything and anything, even building logical expression within the model, but this was not accepted. Best regards