We use the forward search to provide data-driven flexible trimming of the Cp statistic for the choice of regression models, thus revealing the effect of multiple outliers on model selection. We show, even in small sub-samples of the data, that is with heavy trimming, that the statistic virtually has a known null distribution a scaled and shifted F . We discuss the theoretical background to this...
