Statistics using R programming - Stepwise regression for variable selection using R
Stepwise backward regression starts a full model then try to remove one variable each round , until removing variable will not improve model performance. Stepwise forward regression stars with one variable and add variable into model each round , until no performance is improved with addition of variable. In R, AIC (Akaike information criterion) is applied.
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