For example, in the original smoking data, those adolescents who drank alcohol in more occasions are more likely to intend to smoke. Randomly permuting the values of alcohol_per_month over all subjects, however, destroys this association. Accordingly, when the permuted variable, together with the remaining unpermuted predictor variables, is now used to predict the response, the prediction accuracy decreases substantially.
