Hi,
We have been trying to use loess on 2D data (basically a matrix) in the
following way:
x <- 1:256
y <- 1:256
z <- data # input from data
z.loess = loess(z ~ x + y)
We get a 256 x 1 vector of fitted values with a 256 x 256 array of
residuals,
but not a 256 x 256 array of fitted values.
Why would this be? I think we are using loess incorrectly but can't
figure out what is wrong. I have looked at past messages on this
mailing list and searched the web, without any more insight. Any help
would be much appreciated.
Thanks,
Saurav
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