Abstract
We begin by assessing the null model performance of supersaturated designs when using all-subset and forward selection regression. The propensity for model selection criteria to overfit is highlighted. We subsequently propose a strategy for analyzing supersaturated designs that combines all-subsets regression and permutation tests. The methods are illustrated for several examples.