Applied Chemometrics: From Chemical Data to Relevant Information

The basic principles of multivariate data analysis in chemometrics are explained. The most used methods based on linear latent variables are discussed (principal component analysis, linear discriminant analysis) and demonstrated by examples from analytical chemistry and spectroscopy.

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