Faq how are error bars calculated regression model
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Issue:
How are the error bars calculated for a regression model and can they be related to a confidence limit (confidence in the prediction)?
Possible Solutions:
The error bars reported for inverse least squares models (and from the ils_esterror function) represent the estimation error for each prediction, see:
Faber, N.M. and Bro, R., Chemomem. and Intell. Syst., 61, 133-149 (2002)
They can be read as a standard deviation of the estimate. However because the underlying distribution is not clearly known (and is a matter of research), a confidence limit is not reported.
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