Extending Linear Model With R.

Linear models are central to the practice of statistics. They are part of the core knowledgeexpected of any applied statistician. Linear models are the foundation of a broad range ofstatistical methodologies; this book is a survey of techniques that grow from a linearmodel. Our starting point is the regression model with response y and predictors x1, ... xp. The model takes the form:y=a 0+a 1x1+ ... +a pxp+a where a is normally distributed. This book presents three extensions to this framework. The first generalizes the y part; the second, the a part; and the third, the x part of the linearmodel.