Article Dans Une Revue Current Analytical Chemistry Année : 2012

Exploring a Tobacco Data Set with a Multiblock PLS Method

Résumé

n chemistry, multiblock datasets are easily encountered with variables of different natures, or measured at different times for example, here, we use the sequential multiblock regression method GOMCIA-PLS1 to predict quantitative variables from several predictors gathered according to their nature and used simultaneously. In this article, it will be applied to predict a chemical variable from Near Infrared Spectrometry (NIRS) chemical and thermolyze data measured on different tobacco samples. The multiblock GOMCIA-PLS1 method is compared to other methods and its good performances are shown.

Dates et versions

hal-05290604 , version 1 (30-09-2025)

Identifiants

Citer

Myrtille Vivien, Robert Sabatier. Exploring a Tobacco Data Set with a Multiblock PLS Method. Current Analytical Chemistry, 2012, 8 (2), pp.273-282. ⟨10.2174/157341112800392643⟩. ⟨hal-05290604⟩
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