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Recursive Partitioning

I'm new to Recursive Partitioning. I've breifly been told that it can simulate decision tree, that a R sq of 0.15 is suffice and continuous variable as x-variable is less robust.

Is there anyone who can provide me some steps or watch-outs when using this?

I'm trying to see what decision factors lead to sales (response variable). My x-variables are price, models, etc.