Linear models and regression with R : an integrated approach Complete coverage of topics for a course on regression including data sets and implementation in R. Special topics covered include collinearity misspecified models Kalman filter multivariate response foundations of linear inference Comprehensive theory with latest literature and references and thorough treatment of the singular linear model Regression and the normal distribution Estimation in the linear model Further inference in the linear model Model building and diagnostics in regression Analysis of variance General linear model Misspecified or unknown dispersion Updates in the general linear model Multivariate linear model Linear inference : other perspectives.