This class of objects is returned from the
loess
function
to represent a fitted local regression model.
Objects of this class have methods for the functions
print
,
plot
,
preplot
,
predict
, and
anova
functions,
among others.
expression
and class
term
summarizing the formula.
Used by various methods, but typically not of direct relevance to users.
model
is
TRUE
.
The model frame contains the data - after transformation,
subsetting, and treating missing values - to which the local regression
model is fitted.
loess
object are lists:
surface
,
errors
,
control
,
inference
and
predictors
.
The first two contain all of the information about the
specification of the local regression model,
apart from the selection of the data used in the fit.
The third contains the computational options.
The contents of these three components
can be inspected by using
specs.loess
. The component
inference
contains information that is used by other local regression functions to
carry out inferences. The component
predictors
contains information
about the predictors.