The advantages and limitations of the orthogonal projection approach (OPA), in comparison with the Simple-to-use interactive self-modeling mixture analysis approach (SIMPLISMA), are investigated on the standard spectral data published by Windig. These data (four different industrial sets) have been proposed in Chemometrics and Intelligent Laboratory Systems as standard data for the evaluation of self-modeling methods that extract information from bilinear data matrices.