Like most non- and semi-parametric methods, that depends on your
definition of proper. In mgcv, gam() uses cross-validation to choose
the smoothing parameters. You might do something similar to choose the
span= argument. If you have traning and testing data sets, you can see
how well loess predicts the test data given the training data.
Hope this helps,
Roger
tahanks. I will follow.
regards
Jarek
_______________________________________________
grass-stats mailing list
[email protected]
http://lists.osgeo.org/mailman/listinfo/grass-stats