Documentation and Faq how are error bars calculated regression model: Difference between pages

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PLS_Toolbox documentation is contained in various documents including:
===Issue:===
* PLS_Toolbox Manual - containing the chemometrics tutorial and how-to use PLS_Toolbox functions and GUIs.
:: Matlab command:  pls_toolboxhelp
* PLS_Toolbox Reference Manual - a static version of our on-line Wiki documentation on all functions.
:: Matlab command:  helppls
* DataSet Object Manual - a technical description of the DataSet Object (see also the PLS_Toolbox Manual).
:: Matlab command:  pls_toolboxhelp dso


The PDF documents require the Adobe Acrobat PDF Reader which can be [http://www.adobe.com/products/acrobat/readermain.html downloaded FREE from the Internet].
How are the error bars calculated for a regression model and can they be related to a confidence limit (confidence in the prediction)?
 
(Sub topic of [[Getting_Started_Documentation_and_Help|Getting_Started_Documentation_and_Help]])
===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

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