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Table of Contents
Introduction
Introductory Stuff
General Processing Steps
Univariate Data
Statistical Tests
Bivariate Data
Multivariate Data
Basic Knowledge
Optimization
Modeling
Introduction
Modeling with latent variables
MLR
PCA
PCA
PCA - Different Forms
PCA - Loadings and Scores
PCA - Model Order
Principal Component Regression
Factor Analysis
PLS
Neural Networks
Classification and Discrimination
Math Background
Chemometrics
Appendix
Last Update: 2006-Jän-19