Use of the common components and specific weights analysis to interpret supersaturated designs

Abstract We propose a new method to treat supersaturated designs which relies on the multivariate CCSWA (Common Components and Specific Weights Analysis), or ComDim, method. This method can be applied through two approaches. The first considers this method as a novel procedure to analyse supersaturated designs. This can reveal influential factors, and correctly identify the active factors even when the results do not fully comply with the standard hypotheses (sparsity). The second approach extracts the information common to the results obtained using a wide range of methods to analyse the designs. This could make it possible to overcome the errors specific to each of these methods.