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.
|Author||John C Nash [aut, cre], Duncan Murdoch [aut]|
|Maintainer||John C Nash <email@example.com>|
|Package repository||View on R-Forge|
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