Classification of LC columns based on the QSRR method and selectivity toward moclobemide and its metabolites

► Comparative study between column selectivity in RP-LC obtained for a real biomedical separation was reported. ► We performed classification of 24 RP-LC columns based on the QSRR approach. ► The reliability of the theoretical QSRR-model results was examined against column test performance based on the LC analysis of moclobemide and its two metabolites using two chemometric techniques. ► Principal component analysis (PCA) and hierarchical clustering analysis (HCA) were applied.