Abstract

Due to the success of the chemometric challenge organized within the framework of the congress ‘Chimiométrie 2004’ [‘A NIR data set is the object of a Chemometric contest at ‘Chimiométrie 2004’’. P. Dardenne, J.A. Fernández Pierna, Accepted for publication in to Chemometrics and Intelligent Laboratory Systems, special issue Chimiométrie (2004)], the organization committee decided to re-launch the idea for the 2005 edition ( http://www.chimiometrie.org/) held in Lille, France (30th November and 1st December) by proposing through its website another data set. This data set was selected in order to test the ability of the participants for using discrimination methods based on IR data for the classification of starches according to the type of chemical modification undergone. As the previous edition, the participants were asked to present during the conference their own approaches. The committee received only two answers, which shows the difficulties that the other participants found by using this data set. This paper summarizes the two approaches proposed by the participants and the proposed approach of the authors.

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