We all have used stepwise regression at some point. Stepwise regression is known to be sensitive to initial inputs. One way to mitigate this sensitivity is to repeatedly run stepwise regression on bootstrap samples. R has a nice package called bootStepAIC() which (from its description) “Implements a Bootstrap procedure to investigate the variability of model