About the Book: Linear Models and Regression With R: an Integrated Approach
Starting with the basic linear model where the design and covariance matrices
are of full rank, this book demonstrates how the same statistical ideas can be
used to explore the more General linear model with rank-deficient design and/or
covariance matrices. The unified treatment presented here provides a clearer
understanding of the General linear model from a statistical perspective, thus
avoiding the complex matrix-algebraic arguments that are often used in the
rank-deficient case. Elegant geometric arguments are used as needed. The book
has a very broad coverage, from illustrative practical examples in regression
and analysis of