glsObject {nlme} | R Documentation |

An object returned by the `gls`

function, inheriting from class
`"gls"`

and representing a generalized least squares fitted linear
model. Objects of this class have methods for the generic functions
`anova`

, `coef`

, `fitted`

, `formula`

,
`getGroups`

, `getResponse`

, `intervals`

, `logLik`

,
`plot`

, `predict`

, `print`

, `residuals`

,
`summary`

, and `update`

.

The following components must be included in a legitimate `"gls"`

object.

`apVar` |
an approximate covariance matrix for the
variance-covariance coefficients. If |

`call` |
a list containing an image of the |

`coefficients` |
a vector with the estimated linear model coefficients. |

`contrasts` |
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. |

`dims` |
a list with basic dimensions used in the model fit,
including the components |

`fitted` |
a vector with the fitted values.. |

`glsStruct` |
an object inheriting from class |

`groups` |
a vector with the correlation structure grouping factor, if any is present. |

`logLik` |
the log-likelihood at convergence. |

`method` |
the estimation method: either |

`numIter` |
the number of iterations used in the iterative algorithm. |

`residuals` |
a vector with the residuals. |

`sigma` |
the estimated residual standard error. |

`varBeta` |
an approximate covariance matrix of the coefficients estimates. |

JosÃ© Pinheiro and Douglas Bates bates@stat.wisc.edu

`gls`

, `glsStruct`

[Package *nlme* version 3.1-139 Index]