search for: dfrpredictor

...input. They expect the input to be a matrix, where the dummies are already precoded. Now I have created a sample dataset with . 11 factor columns with two levels . 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...

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