20. Non-linear Regression

  1. Michael J. Crawley

Published Online: 14 SEP 2007

DOI: 10.1002/9780470515075.ch20

The R Book

The R Book

How to Cite

Crawley, M. J. (2007) Non-linear Regression, in The R Book, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470515075.ch20

Author Information

  1. Imperial College London at Silwood Park, UK

Publication History

  1. Published Online: 14 SEP 2007
  2. Published Print: 20 APR 2007

ISBN Information

Print ISBN: 9780470510247

Online ISBN: 9780470515075



  • non-linear regression;
  • Michaelis–Menten and asymptotic exponential;
  • generalized additive models (generalized additive models);
  • grouped data for non-linear estimation;
  • self-starting Michaelis–Menten model;
  • profile likelihood;
  • Weibull growth function


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

  • Self-starting four-parameter logistic

  • Bootstrapping a Family of Non-linear Regressions