How does JMP determine the best model using AICc in stepwise regression?
How does JMP decide which combination of variables are the "best" model using forward AICc in the stepwise regression module? In other words, how does it decide when to stop, and why does it sometimes decide that there is no single "best" model? I've read that there must be a difference in AICc of 2 or greater, otherwise the models are considered equivocal. Is that what JMP is using also?
