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I have been using model averaging and model selection bases on AIC and BIC for a while. I have recently discover the stepwise regression technique and I found a lots of people critize this methods.

Why stepwise regression is to avoid ? Is it just only because you may not capture interaction between variable and therefore loose informations ?

Thank you


marked as duplicate by Momo, Community Apr 27 '17 at 15:54

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