Variable selection for a regression model

Hi guys,

I would like to conduct a regression analysis in R with a dataset consisting of around 40 control variables. What is the best way to choose the 10-15 most suitable ones?


Take a look at the olsrr package, which has step-forward, step-backwards and all functions and returns diagnostics.

This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.