A review of multiple regression by least squares -- Data exploration -- Obtaining least squares solutions -- multicollinearity -- Generalized inverse regression -- Outliers -- Testing for transformations -- Testing for normality -- Heteroscedasticity and serial correlation -- Predictions from regression -- Choosing a regression model -- The analysis of response surface data -- Alternative error structures -- Appendix: Some test data sets. 1. Longley's data -- 2. Black cherry tree data -- 3. Hocking and Pendleton's problem -- 4. Salinity forecasting.