residuals.gls {nlme} | R Documentation |

## Extract gls Residuals

### Description

The residuals for the linear model represented by `object`

are extracted.

### Usage

## S3 method for class 'gls':
residuals(object, type, ...)

### Arguments

`object` |
an object inheriting from class `gls` , representing
a generalized least squares fitted linear model, or from class
`gnls` , representing a generalized nonlinear least squares
fitted linear model. |

`type` |
an optional character string specifying the type of
residuals to be used. If `"response"` , the "raw" residuals
(observed - fitted) are used; else, if `"pearson"` , the
standardized residuals (raw residuals divided by the corresponding
standard errors) are used; else, if `"normalized"` , the
normalized residuals (standardized residuals pre-multiplied by the
inverse square-root factor of the estimated error correlation
matrix) are used. Partial matching of arguments is used, so only the
first character needs to be provided. Defaults to `"pearson"` . |

`...` |
some methods for this generic function require additional
arguments. None are used in this method. |

### Value

a vector with the residuals for the linear model represented by
`object`

.

### Author(s)

Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu

### See Also

`gls`

### Examples

fm1 <- gls(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), Ovary,
correlation = corAR1(form = ~ 1 | Mare))
residuals(fm1)

[Package

*nlme* version 3.1-57

Index]