residuals.elliptical: Extract Residuals for Elliptical Regression Model Fits In gwer: Geographically Weighted Elliptical Regression

Description

This function compute different types of residuals to the fitted elliptical regression model.

Usage

 ```1 2 3 4 5 6``` ```## S3 method for class 'elliptical' residuals( object, type = c("stand", "ordinal", "response", "pearson", "desvio"), ... ) ```

Arguments

 `object` an object with the result of the fitted elliptical regression model. `type` a character string that indicates the type of residuals. If is `stand` will be computed the standard residuals. If is `ordinal` will be computed the ordinal residuals. If is `response` will be computed the response residuals. If is `pearson` will be computed the Pearson residuals. If is `desvio` will be computed the desviance residuals. `...` arguments to be used to form the default control argument if it is not supplied directly.

Value

Residuals of the specific `type` extracted from the `object`.

References

Galea, M., Paula, G. A., and Cysneiros, F. J. A. (2005). On diagnostics in symmetrical nonlinear models. Statistics & Probability Letters, 73(4), 459-467. doi: 10.1016/j.spl.2005.04.033

`residuals`, `elliptical`, `family.elliptical`
 ```1 2 3 4 5 6 7 8 9``` ```data(luzdat) y <- luzdat\$y x1 <- luzdat\$x1 ; x1 <- factor(x1) ; x1 <- C(x1,treatment) x2 <- luzdat\$x2 x3 <- (luzdat\$x2)^2 luz <- data.frame(y,x1,x2,x3) elliptical.fitt <- elliptical(y ~ x1+x2+x3, family = Student(df=5) ,data=luz) residuals(elliptical.fitt, type = "stand") ```