predict.nlsr

Function to allow predictions from nonlinear models estimated with
 <code>nlxb</code> from package <code>nlsr</code> if the model is specified by
 a formula with the structure y ~ (something).

 nonlinear least squares 

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.

John C. Nash

nlsr

Functions for Nonlinear Least Squares Solutions

Duncan Murdoch

predict.nlsr function

<dl> <dt>object</dt>
<dd>The output object of executing <code>nlxb</code> to estimate the model.
 An object of class 'nlsr'.</dd> <dt>newdata</dt>
<dd>A named list containing the new data. This should be derived from
 a data frame of the same structure as the data used to estimate the
 model.</dd> <dt>...</dt>
<dd>Any data needed for the function. We do not know of any! This is NOT
 currently used.</dd></dl>

Arguments

John C Nash &lt;nashjc@uottawa.ca&gt;

Author

Predictions for models specified as a formula of style y ~ (something) — predict.nlsr

<dl>

 <dt>object</dt>
<dd>The output object of executing <code>nlxb</code> to estimate the model.
 An object of class 'nlsr'.</dd>

 <dt>newdata</dt>
<dd>A named list containing the new data. This should be derived from
 a data frame of the same structure as the data used to estimate the
 model.</dd>

 <dt>...</dt>
<dd>Any data needed for the function. We do not know of any! This is NOT
 currently used.</dd>

</dl>

predict.nlsr: Predictions for models specified as a formula of style y ~ (something)

Description

Usage

Value

Arguments

Author

Details

See Also

Examples