20. Non-Linear Regression

  1. Michael J. Crawley

Published Online: 6 NOV 2012

DOI: 10.1002/9781118448908.ch20

The R Book, Second Edition

The R Book, Second Edition

How to Cite

Crawley, M. J. (2012) Non-Linear Regression, in The R Book, Second Edition, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118448908.ch20

Author Information

  1. Imperial College London at Silwood Park, UK

Publication History

  1. Published Online: 6 NOV 2012
  2. Published Print: 7 DEC 2012

ISBN Information

Print ISBN: 9780470973929

Online ISBN: 9781118448908



  • non-linear regression;
  • comparing Michaelis–Menten and asymptotic exponential;
  • generalized additive models;
  • grouped data for non-linear estimation;
  • non-linear time series models (temporal pseudoreplication);
  • self-starting functions, Michaelis–Menten model;
  • self-starting asymptotic exponential model;
  • self-starting logistic;
  • self-starting first-order compartment function;
  • bootstrapping, family of non-linear regressions


This chapter contains sections titled:

  • Comparing Michaelis-Menten and asymptotic exponential

  • Generalized additive models

  • Grouped data for non-linear estimation

  • Non-linear time series models (temporal pseudoreplication)

  • Self-starting functions

  • Bootstrapping a family of non-linear regressions