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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
Introduction
ANOVA
Estimation of New Observations
MLR and Collinearity
Variable Selection
Stepwise Regression
PCA
Factor Analysis
PLS
Neural Networks
Classification and Discrimination
Math Background
Chemometrics
Appendix
Last Update: 2006-Jän-19