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The transfer of advances in chemometrics into archaeometric research opens a wide range of new application possibilities in this rapidly developing field. The present research represents a feasibility study aimed at showing how the huge potential that multivariate analysis and feature selection techniques have demonstrated for classification purposes can be extrapolated to archaeological provenance...
Headspace solid-phase microextraction (HS-SPME) coupled with gas chromatography (GC) and multivariate data analysis were applied to classify different vinegar types (white and red, balsamic, sherry and cider vinegars) on the basis of their volatile composition. The collected chromatographic signals were analysed using the stepwise linear discriminant analysis (SLDA) method, thus simultaneously performing...
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