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DESCRIPTION:

Classes of objects resulting from fitting loess model objects.

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GENERATION:

This class of objects is returned from the loess function to represent a fitted local regression model.

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METHODS:

Objects of this class have methods for the functions print, plot, preplot, predict, and anova functions, among others.

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STRUCTURE:

fitted.values:

surface evaluated at the observed values of the predictors.

residuals:

response minus fitted values.

terms:

an object of mode expression and class term summarizing the formula. Used by various methods, but typically not of direct relevance to users.

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.

model:

the model frame, which is present only if the argument model is TRUE. The model frame contains the data - after transformation, subsetting, and treating missing values - to which the local regression model is fitted.

The remaining components of the 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.

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SEE ALSO:

loess , predict.loess , plot.loess , pointwise , anova.loess , specs.loess, preplot.loess , loess.control .