summary.onls

Provides a summary for the parameters of the converged fit including their error estimates, and the standard errors in respect to vertical and orthogonal residuals.

models

nonlinear

Fits two-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization and provides functionality for fit diagnostics and plotting.

Andrej-Nikolai Spiess

onls

Orthogonal Nonlinear Least-Squares Regression

Andrej-Nikolai Spiess 

summary.onls function

<dl> <dt>object</dt>
<dd>an object returned from <code>onls</code>.</dd> <dt>correlation</dt>
<dd>logical. If <code>TRUE</code>, the correlation matrix of the estimated parameters is returned and printed.</dd> <dt>symbolic.cor</dt>
<dd>logical. If <code>TRUE</code>, print the correlations in a symbolic form.</dd> <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>
 
</dl>

Arguments

Author

Summary function for 'onls' objects — summary.onls

<dl>

 <dt>object</dt>
<dd>an object returned from <code>onls</code>.</dd>

 <dt>correlation</dt>
<dd>logical. If <code>TRUE</code>, the correlation matrix of the estimated parameters is returned and printed.</dd>

 <dt>symbolic.cor</dt>
<dd>logical. If <code>TRUE</code>, print the correlations in a symbolic form.</dd>

 <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>
 
</dl>

summary.onls: Summary function for 'onls' objects

Description

Usage

Value

Arguments

Author

Examples