Hello all,
We are working on a project as a team and some of us using R and I am using SAS. For some reason, we are getting different best models using forward and stepwise methods. I am getting best model with 11 predictors, my team mates using R is getting a best model with only 8 predictors. I don't understand how this can be possible. What am I missing?