loess.object
Loess Model Object

### Description

Classes of objects resulting from fitting loess model objects.
Value

n | the number of observations
fitted | surface evaluated at the observed values of the predictors.
residuals | response minus fitted values.
enp | the equivalent number of parameters used in the model.
s | the residual standard error for the model.
one.delta | a numeric value used in prediction.
two.delta | a numeric value used in prediction.
trace.hat | an approximation of the trace of the hat matrix.
divisor | a vector of values used to normalize the predictors.
robust | the vector of robust weights
pars | a list of the parameters used in the fitting.
kd | a list containing information about the kd tree used in the fitting. Used for predictions.
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.
terms | an object of mode expression and class term summarizing the formula. Used by various methods, but typically not of direct relevance to users.
xnames | the names of the predictors.
x | the matrix of predictors.
y | the response variable.
weights | the weights used in the fit.
model | the model frame for the model. This is only included if model = TRUE was set in the call.

Generation
This class of objects is returned from the loess function to represent a fitted local regression model.
Methods
Objects of this class have methods for the functions print, summary, predict, and anova functions, among others.
See Also
loess, predict.loess, loess.control
Package stats version 6.1.5-18
Package Index