This chapter will cover linear models, which are probably the most commonly used statistical methods to study the relationships between variables. The generalized linear model section will delve into a bit more detail than typical R books, discussing the nature of link functions and canonical link functions:
Linear regression
Linear model fits
Analysis of variance models
Generalized linear models
Link functions and canonical link functions
Generalized additive models
Principal components analysis
Clustering
Discriminant analysis