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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
Factor Analysis
PLS
Neural Networks
Introduction
Natural Brains
Mapping of Spaces
Models of Neural Networks
Generalization and Overtraining
Extrapolation
Variable Selection
Training of Neural Networks
Common Questions about ANNs
Classification and Discrimination
Math Background
Chemometrics
Appendix
Last Update: 2006-Jän-19