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What is Multivariate Analysis in R: Chemometrics about?

This document provides an overview of multivariate statistical analysis methods available in the R package chemometrics. It introduces principal component analysis (PCA) for reducing dimensionality in datasets with many correlated variables. It then discusses several regression calibration methods for modeling relationships between variables, including stepwise regression, principal component regression, partial least squares regression, ridge regression, and lasso regression. Finally, it covers classificat

Author

Hubert Boulic

Language

EN