search for: dfrtmp

.... 4 factor columns with three levels . 135 continuous columns (from a standard normal) . 100 observations (rows) Say this dataframe is in dfrPredictors. What I do now, is use the following code: form<-paste("~",paste(colnames(dfrPredictors), collapse="+"), sep="") dfrTmp<-model.frame(dfrPredictors, na.action=na.pass) result<- as.matrix(model.matrix(as.formula(form), data=dfrTmp))[,-1] This works (although admittedly, I don't understand everything of it). However, I notice that for this rather limited dataset, this conversion takes around 0.1 seconds user...

Hi! This is my first time posting. I've read the general rules and guidelines, but please bear with me if I make some fatal error in posting. Anyway, I have a continuous response and 29 predictors made up of continuous variables and nominal and ordinal categorical variables. I'd like to do lasso on these, but I get an error. The way I am using "lars" doesn't allow for the