Summary Method for class "lmRob"

DESCRIPTION:

Returns a summary list for a robust linear model object of class lmRob . A null value is returned if printing is invoked.

USAGE:

summary.lmRob(object, correlation=T) 

REQUIRED ARGUMENTS:

object
an object of class "lmRob".

OPTIONAL ARGUMENTS:

correlation
logical flag: if TRUE, then the correlation matrix for the coefficients is included in the summary.

VALUE:

a list is returned with the following components:
sigma
the residual scale estimate.
df
the number of degrees of freedom for the model and for the residuals.
cov.unscaled
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.
correlation
the correlation coefficient matrix for the coefficients in the model.
...
other components are the same as the corresponding components of an lmRob object. Use names() function to obtain a list of the components.

DETAILS:

This function is a method for the generic function summary for class "lmRob" . It can be invoked by calling summary() for an object of class "lmRob", or directly by calling summary.lmRob(), regardless of the class of the object.

EXAMPLES:

oilcity.rob <- lmRob(Oil~Market, data=oilcity) 
summary(oilcity.rob)