Greetings,
I used the Locift package for smoothing xy-data using R and the 
standalone locfit-program (both from 
<http://cm.bell-labs.com/cm/ms/departments/sia/project/locfit/>).

One can add datapoints and 95%-confidence bands to the fit by the 
following command [R]:

 > fit <- locfit(y~x, data=name, alpha=0.25)
 > plot(fit, get.data=TRUE, band="global")

This plots 95% confidence  band using a using a global variance estimate 
and original data points to the fit.
Does anybody how to geht the xy-Values of the confidence band out of the 
program to a table?
Getting the data of the fit at any point x is no problem. It seems that 
the function calculates the standard error at each ponit, but is there a 
way to get the values of the conf. intervals at a point x directly?

Robert van Geldern

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