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Using PLS models with both controlled and uncontrolled X variables for "Waht if..." prediction
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för teknik, fysik och matematik.
2005 (engelsk)Inngår i: The 9th Scandinavian Symposium on Chemometrics, Reykjavik, Iceland 2005-09-30, Ornsköldsvik: NPI , 2005, s. 6-Konferansepaper, Publicerat paper (Annet vitenskapelig)
Abstract [en]

In real-time industrial process applications, there is often a need to predict the effects of adjustments before actually effectuated. Multivariate prediction models based on historical data works fine for predictions as long as the new X data have the correlation structure preserved. This paper shows that such can anyway be used for �What if �� decision support in presence of correlated X variables, whenever it is possible to create a help model that predicts the influence of the manipulated X variables on the rest of the X variables.

sted, utgiver, år, opplag, sider
Ornsköldsvik: NPI , 2005. s. 6-
Emneord [en]
algorithm PLS process predictions
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Identifikatorer
URN: urn:nbn:se:miun:diva-3464Lokal ID: 3544OAI: oai:DiVA.org:miun-3464DiVA, id: diva2:28496
Tilgjengelig fra: 2008-09-30 Laget: 2008-09-30 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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