Functions for Nonlinear Least Squares Solutions

Provides tools for working with nonlinear least squares problems. It is intended to eventually supersede the nls() function in the R distribution. For example, nls() specifically does NOT deal with small or zero residual problems as its Gauss-Newton method frequently stops with 'singular gradient' messages. nlsr is based on the now-deprecated package nlmrt, and has refactored functions and R-language symbolic derivative features.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


2017.10.4 by John C Nash, 2 months ago

Browse source code at

Authors: John C Nash [aut, cre], Duncan Murdoch [aut]

Documentation:   PDF Manual  

GPL-2 license

Imports digest

Suggests minpack.lm, optimr, Rvmmin, Rcgmin, numDeriv, knitr, rmarkdown, Ryacas, Deriv

Imported by usl.

Depended on by colf.

See at CRAN