CovSel: Variable selection for highly multivariate and multi-response calibration. Application to IR spectroscopy

J.M. Roger (1) , B. Palagos (1) , D. Bertrand , E. Fernandez-Ahumada (1)

1 UMR ITAP - Information – Technologies – Analyse Environnementale – Procédés Agricoles

Variable selection is of major interest for NIR calibration, either as a feature selection or for the design of multi-wavelength devices. Some dedicated methods have been developed in chemometrics, but a few of them addresses explicitly the case of multi-response calibration. Variable selection for NIR spectroscopy must face two problems: (1) the huge number of variables yields a very large solution space; (2) variables are highly correlated, and if no special attention is paid the model built on the selection may be ill-conditioned. This article presents a new method, CovSel, which tackles these two problems by following this procedure: (1) variable selection step by step on the basis of their global covariance with all the responses; and (2) projection of the data orthogonally to the selected variable. CovSel was applied on three problems: the first one concerns a single response MIR calibration (Brix degree content in apricot), the second one concerns a multi-response NIR calibration (4 main constituents in corn) and the last application concerns the NIR discrimination of 3 wine grape varieties.

Mots clés: SELECTION; CHIMIOMETRIE; SPECTROMETRIE

Domaines: Ingénierie de l'environnement

J.M. Roger, B. Palagos, D. Bertrand, E. Fernandez-Ahumada. CovSel: Variable selection for highly multivariate and multi-response calibration. Application to IR spectroscopy. Chemometrics and Intelligent Laboratory Systems, 2010, 106 (2), 27 p. ⟨10.1016/j.chemolab.2010.10.003⟩. ⟨hal-00635415⟩