Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as

Introduction. Multivariate Data. Principal Component Analysis. Calibration. Classification. Cluster Analysis. Preprocessing. Appendices. Index.