Abstract
This chapter provides a preview of the book but is presented in a rather abstract setting and will be easier to follow after reading the rest of the book. The reader may omit this chapter on first reading and refer back to it as necessary. Chapters 2 to 9 consider multiple linear regression and experimental design models fit with least squares. Chapter 1 is useful for extending several techniques, such as response plots and plots for response transformations used in those chapters, to alternative fitting methods and to alternative regression models. Chapter 13 illustrates some of these extensions for the generalized linear model (GLM) and the generalized additive model (GAM).
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Olive, D.J. (2017). Introduction. In: Linear Regression. Springer, Cham. https://doi.org/10.1007/978-3-319-55252-1_1
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