The pure function implements a legacy variant of the SIMPLISMA (SIMPle-to-use Interactive Self-modeling Mixture Analysis) algorithm for selecting "pure" variables, i.e., those that are likely dominated by single chemical species in multivariate data. It evaluates each variable's purity based on its standard deviation and mean, accounting for noise and collinearity.
Unknown (based on Willem Windig and Jean Guilment)
