# summary.rlm

##### Summary Method for Robust Linear Models

`summary`

method for objects of class `"rlm"`

- Keywords
- robust

##### Usage

```
# S3 method for rlm
summary(object, method = c("XtX", "XtWX"), correlation = FALSE, …)
```

##### Arguments

- object
the fitted model. This is assumed to be the result of some fit that produces an object inheriting from the class

`rlm`

, in the sense that the components returned by the`rlm`

function will be available.- method
Should the weighted (by the IWLS weights) or unweighted cross-products matrix be used?

- correlation
logical. Should correlations be computed (and printed)?

- …
arguments passed to or from other methods.

##### Details

This function is a method for the generic function
`summary()`

for class `"rlm"`

.
It can be invoked by calling `summary(x)`

for an
object `x`

of the appropriate class, or directly by
calling `summary.rlm(x)`

regardless of the
class of the object.

##### Value

If printing takes place, only a null value is returned.
Otherwise, a list is returned with the following components.
Printing always takes place if this function is invoked automatically
as a method for the `summary`

function.

The computed correlation coefficient matrix for the coefficients in the model.

The unscaled covariance matrix; i.e, a matrix such that multiplying it by an estimate of the error variance produces an estimated covariance matrix for the coefficients.

The scale estimate.

A scale estimate used for the standard errors.

The number of degrees of freedom for the model and for residuals.

A matrix with three columns, containing the coefficients, their standard errors and the corresponding t statistic.

The terms object used in fitting this model.

##### References

Venables, W. N. and Ripley, B. D. (2002)
*Modern Applied Statistics with S.* Fourth edition. Springer.

##### See Also

##### Examples

```
# NOT RUN {
summary(rlm(calls ~ year, data = phones, maxit = 50))
# }
```

*Documentation reproduced from package MASS, version 7.3-51.1, License: GPL-2 | GPL-3*