Re: [R] Repeated cross-validation for a lm object

Dear Max and Greg Thank you for your help. Unfortunately I was not able in getting what I need using the functions you suggested. I believe it can be a result of my inexperience with the packages caret and rms. Therefore, I provide more information about my problem and wish you can again provide

Re: [R] Repeated cross-validation for a lm object

Dear Max Thank you for your attention. The train function in the caret package realy does what I need. Best regards, - Bc.Sc.Agri. Alessandro Samuel-Rosa Postgraduate Program in Soil Science Federal University of Santa Maria Av. Roraima, nº 1000, Bairro Camobi, CEP 97105-970 Santa Maria,

Re: [R] Repeated cross-validation for a lm object

The validate function in the rms package can do cross validation of ols objects (ols is similar to lm, but with additional information), the default is to do bootstrap validation, but you can specify crossvalidation instead. On Thu, Feb 16, 2012 at 10:44 AM, samuel-rosa

Re: [R] Repeated cross-validation for a lm object

The train function in the caret package will do this. The trainControl function would use method =repeatedcv and repeats = 100. On Feb 18, 2012, at 2:15 PM, Greg Snow 538...@gmail.com wrote: The validate function in the rms package can do cross validation of ols objects (ols is similar to

[R] Repeated cross-validation for a lm object

Dear R users I'd like to hear from someone if there is a function to do a repeated k-fold cross-validation for a lm object and get the predicted values for every observation. The situation is as follows: I had a data set composed by 174 observations from which I sampled randomly a subset composed