A 'component stripping' technique is presented for unique resolution o
f multicomponent systems (with more than three overlapping components)
by means of the heuristic evolving latent projections method. Partial
chromatographic selectivity is utilized to resolve clusters of overla
pping chromatographic peaks. Analytes with partial chromatographic sel
ectivity are detected and their contributions in terms of estimated co
ncentration profiles and spectra subsequently subtracted to obtain a d
ata matrix of reduced rank. The procedure is repeated on the rank-redu
ced data until the variation corresponding to chemical components has
been exhausted and the data matrix has zero 'chemical' rank in all reg
ions. At this stage, the concentration profiles and spectra of all the
pure chemical components should be obtained. The simplicity and effic
iency of the proposed approach are proved on a simulated four-componen
t mixture characterized by an unresolved profile of hyphenated chromat
ographic data. The new method compares favourably with the so-called r
ank annihilation evolving factor analysis both with respect to precond
itions and results.