Robust Linear Model Objects -- Bounded Influence Estimator

DESCRIPTION:

These are objects of class lmRobBI which represent the robust fit of a linear regression model, as estimated by lmRobBI() function.

GENERATION:

This class of objects is returned from the lmRobBI function.

METHODS:

coefficients , fitted.values, formula, labels, plot, print , residuals, summary.

STRUCTURE:

The following components must be included in a legitimate "lmRobBI" object:

VALUE:

coefficients
vector of coefficients for the robust regression.
scale
the bounded influence estimate of scale parameter.
residuals
the residual vector corresponding to the estimates returned in coefficients .
fitted.values
the fitted values corresponding to the estimates returned in coefficients.
O.weights
the optimal weights used by the bounded influence estimator.
cov
the estimated covariance matrix of the estimates in coefficients.
iter.weight
the number of iterations used in the nonlinear algorithm for computing the optimal weights.
iter.coef
the number of iterations used in the nonlinear algorithm for computing the coefficient estimates.
rank
the rank of the design matrix x.
call
an image of the call that produced the object, but with the arguments all named and with the actual formula included as the formula argument.
assign
the same as the assign component of an "lm" object.
contrasts
the same as the contrasts component of an "lm" object.
terms
the same as the terms component of an "lm" object.

SEE ALSO:

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