A didactically motivated PLS prediction algorithm

dc.contributor.author	Ergon, Rolf
dc.contributor.author	Esbensen, Kim H.
dc.date.accessioned	2007-04-26T08:08:45Z
dc.date.accessioned	2017-04-19T12:49:50Z
dc.date.available	2007-04-26T08:08:45Z
dc.date.available	2017-04-19T12:49:50Z
dc.date.issued	2001
dc.identifier.citation	Modeling, identification and control 22(2001) No. 3, p. 131-139
dc.identifier.issn	0332-7353
dc.identifier.uri	http://hdl.handle.net/11250/2438413
dc.description.abstract	The intention of this paper is to develop an easily understood PLS prediction algorithm, especially for the control community. The algorithm is based on an explicit latent variables model, and is otherwise a combination of the previously published Martens and Helland algorithms. A didactic connection to Kalman filtering theory is provided for a methodological overview.
dc.format.extent	876110 bytes
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.publisher	Norwegian Society of Automatic Control
dc.subject	PLS prediction
dc.subject	Latent variables models
dc.subject	Kalman filtering
dc.title	A didactically motivated PLS prediction algorithm
dc.type	Journal article
dc.type	Peer reviewed
dc.subject.nsi	563