EVOLUTION-MANAGER
Edit File: glsObject.html
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Fitted gls Object</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="stylesheet" type="text/css" href="R.css" /> </head><body> <table width="100%" summary="page for glsObject {nlme}"><tr><td>glsObject {nlme}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Fitted gls Object</h2> <h3>Description</h3> <p>An object returned by the <code><a href="gls.html">gls</a></code> function, inheriting from class <code>"gls"</code> and representing a generalized least squares fitted linear model. Objects of this class have methods for the generic functions <code>anova</code>, <code>coef</code>, <code>fitted</code>, <code>formula</code>, <code>getGroups</code>, <code>getResponse</code>, <code>intervals</code>, <code>logLik</code>, <code>plot</code>, <code>predict</code>, <code>print</code>, <code>residuals</code>, <code>summary</code>, and <code>update</code>. </p> <h3>Value</h3> <p>The following components must be included in a legitimate <code>"gls"</code> object. </p> <table summary="R valueblock"> <tr valign="top"><td><code>apVar</code></td> <td> <p>an approximate covariance matrix for the variance-covariance coefficients. If <code>apVar = FALSE</code> in the list of control values used in the call to <code>gls</code>, this component is equal to <code>NULL</code>.</p> </td></tr> <tr valign="top"><td><code>call</code></td> <td> <p>a list containing an image of the <code>gls</code> call that produced the object.</p> </td></tr> <tr valign="top"><td><code>coefficients</code></td> <td> <p>a vector with the estimated linear model coefficients.</p> </td></tr> <tr valign="top"><td><code>contrasts</code></td> <td> <p>a list with the contrasts used to represent factors in the model formula. This information is important for making predictions from a new data frame in which not all levels of the original factors are observed. If no factors are used in the model, this component will be an empty list.</p> </td></tr> <tr valign="top"><td><code>dims</code></td> <td> <p>a list with basic dimensions used in the model fit, including the components <code>N</code> - the number of observations in the data and <code>p</code> - the number of coefficients in the linear model.</p> </td></tr> <tr valign="top"><td><code>fitted</code></td> <td> <p>a vector with the fitted values..</p> </td></tr> <tr valign="top"><td><code>glsStruct</code></td> <td> <p>an object inheriting from class <code>glsStruct</code>, representing a list of linear model components, such as <code>corStruct</code> and <code>varFunc</code> objects.</p> </td></tr> <tr valign="top"><td><code>groups</code></td> <td> <p>a vector with the correlation structure grouping factor, if any is present.</p> </td></tr> <tr valign="top"><td><code>logLik</code></td> <td> <p>the log-likelihood at convergence.</p> </td></tr> <tr valign="top"><td><code>method</code></td> <td> <p>the estimation method: either <code>"ML"</code> for maximum likelihood, or <code>"REML"</code> for restricted maximum likelihood.</p> </td></tr> <tr valign="top"><td><code>numIter</code></td> <td> <p>the number of iterations used in the iterative algorithm.</p> </td></tr> <tr valign="top"><td><code>residuals</code></td> <td> <p>a vector with the residuals.</p> </td></tr> <tr valign="top"><td><code>sigma</code></td> <td> <p>the estimated residual standard error.</p> </td></tr> <tr valign="top"><td><code>varBeta</code></td> <td> <p>an approximate covariance matrix of the coefficients estimates.</p> </td></tr> </table> <h3>Author(s)</h3> <p>José Pinheiro and Douglas Bates <a href="mailto:bates@stat.wisc.edu">bates@stat.wisc.edu</a></p> <h3>See Also</h3> <p><code><a href="gls.html">gls</a></code>, <code>glsStruct</code></p> <hr /><div style="text-align: center;">[Package <em>nlme</em> version 3.1-139 <a href="00Index.html">Index</a>]</div> </body></html>