Description Usage Arguments Details Value Note See Also Examples

Allows you to specify a formula with parameters, along with starting guesses for the parameters. Refines those guesses to find the least-squares fit.

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`formula` |
formula specifying the model |

`data` |
dataframe containing the data to be used |

`start` |
passed as |

`...` |
additional arguments passed to |

`object` |
an R object (typically a the result of fitModel) |

Fits a nonlinear least squares model to data. In contrast to linear models, all the parameters (including linear ones) need to be named in the formula. The function returned simply contains the formula together with pre-assigned arguments setting the parameter value. Variables used in the fitting (as opposed to parameters) are unassigned arguments to the returned function.

a function

This doesn't work with categorical explanatory variables. Also,
this does not work with synthentic data that fit the model perfectly.
See `link{nls}`

for details.

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