[R] How does predict.loess work?

[Greg Snow]

Run the examples for the "loess.demo" function in the TeachingDemos
package to get a better understanding of what goes into the loess
predictions.

On Tue, Apr 3, 2012 at 2:12 PM, Recher She <rrrecher.she at gmail.com> wrote:
> Dear R community,
>
> I am trying to understand how the predict function, specifically, the
> predict.loess function works.
>
> I understand that the loess function calculates regression parameters at
> each data point in 'data'.
>
> lo <- loess ( y~x, data)
>
> p <- predict (lo, newdata)
>
> I understand that the predict function predicts values for 'newdata'
> according to the loess regression parameters. How does predict.loess do
> this in the case that 'newdata' is different from the original data x? How
> does the interpolation take place?
>
> Thank you.
>
>        [[alternative HTML version deleted]]
>
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-- 
Gregory (Greg) L. Snow Ph.D.
538280 at gmail.com