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003			MX-MdCICY
005			20250626080926.0
040			_cCICY
090			_aB-20924
245	1	0	_aOrthogonal PLS (OPLS) Modeling for Improved Analysis and Interpretation in Drug Design
490	0		_aMolecular Informatics, 31(6-7), p.414-419, 2012
500			_aArtículo
520	3		_aPartial least squares (PLS) regression is a flexible data analytical approach, which can be made even more versatile and useful by various modifications. In this article we describe the extension into orthogonal PLS modeling, in terms of two new methods, called OPLS and O2PLS, with similar prediction capacity but improved model interpretation.
650	1	4	_aLATENT VARIABLES
650	1	4	_aPREDICTIVE VARIATION
650	1	4	_aORTHOGONAL VARIATION
650	1	4	_aINTERPRETABILITY
700	1	2	_aEriksson, L.
700	1	2	_aRosén, J.
700	1	2	_a Johansson, E.
700	1	2	_aTrygg, J.
856	4	0	_uhttps://drive.google.com/file/d/18vlJSfQ2T3f_zxCJxWFBqI-uBRib94em/view?usp=drive_link _zPara ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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