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SAS Textbook Examples: Applied Linear Statistical Models, 
by Neter, Kutner, Nachtsheim, and Wasserman

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	SAS	Stata	Chapter Title
Chapter 1	Chap 1	Chap 1	Linear Regression with One Independent Variable
Chapter 2	Chap 2	Chap 2	Inferences in Regression Analysis
Chapter 3	Chap 3	Chap 3	Diagnostic and Remedial Measures
Chapter 4	Chap 4		Simultaneous Inferences and Other Topics in Regression Analysis
Chapter 5			Matrix Approach to Simple Linear Regression Analysis
Chapter 6	Chap 6	Chap 6	Multiple Regression I
Chapter 7	Chap 7	Chap 7	Multiple Regression II
Chapter 8	Chap 8	Chap 8	Building the Regression Model I: Selection of Predictor Variables
Chapter 9	Chap 9	Chap 9	Building the Regression Model II: Diagnostics
Chapter 10	Chap 10		Building the Regression Model III: Remedial Measures and Validation
Chapter 11	Chap 11		Qualitative Predictor Variables
Chapter 12			Autocorrelation in Time Series Data
Chapter 13	Chap 13		Introduction to Nonlinear Regression
Chapter 14	Chap 14		Logistic Regression,  Poisson Regression, and Generalized Linear Models
Chapter 15			Normal Correlation Models
Chapter 16	Chap 16	Chap 16	Analysis of Variance
Chapter 17	Chap 17	Chap 17	Analysis of Factor-Level Effects
Chapter 18	Chap 18	Chap 18	ANOVA Diagnostics and Remedial Measures
Chapter 19	Chap 19	Chap 19	Two-Factor Analysis of Variance-Equal Sample Sizes
Chapter 20	Chap 20	Chap 20	Analysis of Factor Effects in Two-Factor Studies-Equal Sample Sizes
Chapter 21	Chap 21	Chap 21	Two-Factor Studies-One Case per Treatment
Chapter 22	Chap 22	Chap 22	Two Factor Studies-Unequal Sample Sizes and Unequal Treatment Importance
Chapter 23	Chap 23	Chap 23	Multi-Factor Studies
Chapter 24	Chap 24	Chap 24	Random and Mixed-Effect Models
Chapter 25	Chap 25	Chap 25	Analysis of Covariance
Chapter 26			Design of Experiments,  Randomization, and Sample Size Planning
Chapter 27	Chap 27		Randomized Block Designs
Chapter 28	Chap 28		Nested Designs, Subsampling, and Partially Nested Designs
Chapter 29	Chap 29		Repeated Measure Designs
Chapter 30			Latin Square and Related Designs
Chapter 31			Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs
Chapter 32			Response Surface Methodology