The following components must be included in a legitimate
"lmRob" object:
VALUE:
coefficients
vector of coefficients for the robust regression. If
est="final", these
are final estimates; if
est="initial", these are initial estimates.
T.coefficients
the vector of coefficients for the initial estimate, if
est="final".
scale
the scale estimate computed using the initial estimates.
residuals
the residual vector corresponding to the estimates returned in
coefficients
.
T.residuals
the residual vector corresponding to the estimates returned in
T.coefficients
.
fitted.values
the fitted values corresponding to the estimates returned in
coefficients.
T.fitted.values
the fitted values corresponding to the estimates returned in
T.coefficients.
cov
the estimated covariance matrix of the estimates in
coefficients.
T.cov
the estimated covariance matrix of the estimates in
T.coefficients.
rank
the rank of the design matrix
x.
iter.refinement
the number of iterations required to refine the initial estimates.
df.residuals
the degrees of freedom in the residuals (the number of rows in
x minus
the rank of
x).
est
a character string that specifies the type of estimates returned. If
est="initial"
, the initial estimates are returned; if
est="final", the
final estimates are returned.
robust.control
a list of control parameters, passed to the function
lmRob as the
robust.control
argument that produced the
lmRob object.
genetic.control
a list of control parameters, passed to the function
lmRob as the
genetic.control
argument that produced the
lmRob object, if present.
dev
the robust deviance if final MM-estimates are returned.
T.dev
the robust deviance corresponding to initial S-estimates if applies.
r.squared
the fraction of variation in
y explained by the robust regression on
x
corresponding to the final MM-estimates in
coefficients, if applies.
T.r.squared
the fraction of variation in
y explained by the robust regression on
x
corresponding to the initial S-estimates in
T.coefficients, if applies.
M.weights
the robust estimate weights corresponding to the final MM-estimates in
coefficients
, if applies.
T.M.weights
the robust estimate weights corresponding to the initial S-estimates in
T.coefficients
, if applies.
iter.final.coef
the number of iterations required to compute the final MM-estimates of the
coefficients, if applies.
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.