Multi way and Image Functions and Faq how are error bars calculated regression model: Difference between pages
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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. | |||
'''Still having problems? Please contact our helpdesk at [mailto:helpdesk@eigenvector.com helpdesk@eigenvector.com]''' | |||
[[Category:FAQ]] | |||
Revision as of 12:07, 5 December 2018
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.
Still having problems? Please contact our helpdesk at helpdesk@eigenvector.com