Nonlinear Regression with R

Nonlinear Regression with R was published December 1 2008 in the useR! series by Springer. The book shows by means of examples how to use R, in particular the function nls() and related functions, for fitting nonlinear regression models such as exponential decay, Michaelis-Menten, and logistic models.

More details about the book:

• Springer webpage of the book


• Companion R extension package
(The scripts folder coming with the package contains all R lines used in the book.)


• Errata


• Reviews:
  

  • American Statistician
  • Review on amazon.com
  • International Statistical Review
  • Biometrics
  • J. Statist. Soft.