Hi, is it possible to have r code which runs random forests and takes the top 7 variables based on variable importance and builds a model of trying interactions terms for each variable. Then builds 7 models and keeps the one with the lowest aic. this would be like a new form of step wise regression using random forests with interaction terms. any code help would be much appreciated. thanks Dhruv [[alternative HTML version deleted]]