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Fit a Loess regression.

Usage

loess(y, window, degree = 1, jump = 0)

Arguments

y

input time series.

jump

Examples

q<-rjd3stl::stlplus(rjd3toolkit::ABS$X0.2.09.10.M, 12)
decomp<-q$decomposition
t<-decomp[,'t']
matplot(cbind(t,loess(t, 121)), type='l')