10. Regression
Published Online: 6 NOV 2012
DOI: 10.1002/9781118448908.ch10
Copyright © 2013 John Wiley & Sons, Ltd
Book Title
The R Book, Second Edition
Additional Information
How to Cite
Crawley, M. J. (2012) Regression, in The R Book, Second Edition, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118448908.ch10
Publication History
- Published Online: 6 NOV 2012
- Published Print: 7 DEC 2012
ISBN Information
Print ISBN: 9780470973929
Online ISBN: 9781118448908
- Summary
- Chapter
Keywords:
- regression;
- linear regression, the famous five in R;
- polynomial approximations to elementary functions;
- polynomial regression;
- fitting a mechanistic model to data;
- prediction following regression;
- testing for lack of fit in a regression;
- jackknife after bootstrap;
- multiple regression, multiple regression model;
- piecewise regression
Summary
This chapter contains sections titled:
-
Linear regression
-
Polynomial approximations to elementary functions
-
Polynomial regression
-
Fitting a mechanistic model to data
-
Linear regression after transformation
-
Prediction following regression
-
Testing for lack of fit in a regression
-
Bootstrap with regression
-
Jackknife with regression
-
Jackknife after bootstrap
-
Serial correlation in the residuals
-
Piecewise regression
-
Multiple regression