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. Its Gauss-Newton method frequently stops with 'singular gradient' messages.


Reference manual

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2017.2.19 by John C Nash, a month 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, nlmrt

See at CRAN