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.
|Author||John C Nash [aut, cre], Duncan Murdoch [aut]|
|Date of publication||2017-06-20 20:24:01|
|Maintainer||John C Nash <email@example.com>|
|Package repository||View on R-Forge|
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