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Current Analytical Chemistry

Editor-in-Chief

ISSN (Print): 1573-4110
ISSN (Online): 1875-6727

Exploring a Tobacco Data Set with a Multiblock PLS Method

Author(s): Myrtille Vivien and Robert Sabatier

Volume 8 , Issue 2 , 2012

Page: [273 - 282] Pages: 10

DOI: 10.2174/157341112800392643

Price: $65

Abstract

In 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.

Keywords: GOMCIA-PLS, Multiblock PLS, Multivariate data analysis, Regression


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