Plot fitted model diagnostics such as residuals vs fitted values, quantile-quantile, scale-location, Cook's distance, residuals vs leverage, Cook's distance vs leverage, a fitted spatial covariance function, and a fitted anisotropic level curve of equal correlation.

## Arguments

- x
A fitted model object from

`splm()`

,`spautor()`

,`spglm()`

, or`spgautor()`

.- which
An integer vector taking on values between 1 and 7, which indicates the plots to return. Available plots are described in Details. If

`which`

has length greater than one, additional plots are stepped through in order using`<Return>`

. The default for`splm()`

and`spglm()`

fitted model objects is`which = c(1, 2, 7)`

. The default for`spautor()`

and`spgautor()`

fitted model objects is`which = c(1, 2)`

.- ...
Other arguments passed to other methods.

## Details

For all fitted model objects,, the values of `which`

make the
corresponding plot:

1: Standardized residuals vs fitted values (of the response)

2: Normal quantile-quantile plot of standardized residuals

3: Scale-location plot of standardized residuals

4: Cook's distance

5: Standardized residuals vs leverage

6: Cook's distance vs leverage

For `splm()`

and `spglm()`

fitted model objects, there are two additional values of `which`

:

7: Fitted spatial covariance function vs distance

8: Fitted anisotropic level curve of equal correlation