Article ID Journal Published Year Pages File Type
1179645 Chemometrics and Intelligent Laboratory Systems 2015 11 Pages PDF
Abstract

•A continuum standardization of the variables is introduced.•We discuss properties related to this standardization.•We investigate its effect on principal component analysis and PLS-regression.

A continuum standardization of the variables is proposed. It consists of dividing each variable by its standard deviation to the power α, where α is a scalar between 0 and 1. The non-standardized dataset and the standardized datasets appear as the two extreme points of this continuum and the Pareto standardization is its mid-point. Properties related to this standardization are discussed. Application to principal components analysis and PLS-regression is outlined and illustrated on the basis of real datasets.

Related Topics
Physical Sciences and Engineering Chemistry Analytical Chemistry
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