Linear Models
Preliminary remarks
1 Introduction
2 Computational considerations
3 Frisch–Waugh–Lovell theorem
4 Gaussian linear model
5 Analysis of variance
6 Hypothesis testing
7 Model selection
- 7.1 Example: Price of diamonds
- 7.2 Model selection invalidates P-values
8 Penalized regression methods
- 8.1 Bias and variance tradeoff
- 8.2 Cross-validation
9 Splines
- 9.1 Solutions
  - 9.1.1 Exercise 12.4 Smoothing splines
10 Generalized linear models
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lineaRmodels

2 Computational considerations

In this tutorial, we will explore some basic R commands and illustrate their use on the Auto dataset (Auto) from the ISLR package.