作者：Norman Matloff， University of California, Davis, USA
1 Setting the Stage
2 Linear Regression Models
3 Homoscedasticity and Other Assumptions in Practice
4 Generalized Linear and Nonlinear Models
5 Multiclass Classification Problems
6 Model Fit Assessment and Improvement
7 UnobservedPredictorVariable
8 Shrinkage Estimators
9 Variable Selection and Dimension Reduction
10 Partition-Based Methods
11 Semi-Linear Methods
12 Regression and Classification in Big Data
13 Matrix Algebra
在以下网址可下载本书代码。
http://heather.cs.ucdavis.edu/regclass.html.[/url]      本书使用R软件编程，可操作性强！