My main goal is making predictions using a nonlinear model that have many independent variables.
I would like to split my numerical independent variables into ranges/parts. Then to use a combination of these ranges to predict a dependent variable. Suppose I split each variable A, B and C into 4 ranges. I will have 4^3 combinations. Is there any type of regression that do the optimal splitting and give results for each combination ?