
Dear all,

I am interested to calculate confidence interval for fitted values in general for non-linear regressions. Lets say we have y=f(x1,x2,..xN) where f() is a non-linear regression. I would like to calculate a confidence interval for new prediction f(a1,..,aN). I am aware of techniques for calculating confidence intervals for coeffiecients in specific non-linear regressions and with them then to calculate confidence interval for the predicted value. However, I am interested to find if there is any unique approach, maybe using bootstrap, which can be used on f() where f() is kind of black box.

Any references to the literature or R packages would be very welcome.

Thanks in advance.
DK
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Damjan Krstajic
Director
Research Centre for Cheminformatics
Belgrade, Serbia

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