[R] Confidence & prediction limits from bootstrapped linear model

[Martin Biuw]

Sorry, I sent this without a subject at first......

Hello,
Is there a simple function that calculates standard errors and confidence 
limits of response values (Y) in a linear model, where parameter estimates 
have been arrived at by bootstrapping (e.g. according to the first example 
in Angelo Canty's prsentation of the "boot" package in R-News, Dec 2002)? 
Or does anyone have any ideas as to the simplest way to write such a 
function, incorporating enough flexibility in terms of model structure etc?

Thanks!

Martin