lin.pls: lin.pls
In gbonte/gbcode: Code from the handbook "Statistical foundations of machine learning"
lin.pls R Documentation
lin.pls
Description
Multioutput lin PLS
Details
lin.pls
Multioutput PLS for multi-step-ahed prediction. It performs a partial least-squares
Author(s)
Gianluca Bontempi Gianluca.Bontempi@ulb.be
References
Bontempi G. Ben Taieb S. Conditionally dependent strategies for multiple-step-ahead prediction in local learning, International Journal of Forecasting Volume 27, Issue 3, July–September 2011, Pages 689–699
gbonte/gbcode documentation built on Feb. 27, 2024, 7:38 a.m.
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| lin.pls | R Documentation |
lin.pls
Description
Multioutput lin PLS
Details
lin.pls
Multioutput PLS for multi-step-ahed prediction. It performs a partial least-squares
Author(s)
Gianluca Bontempi Gianluca.Bontempi@ulb.be
References
Bontempi G. Ben Taieb S. Conditionally dependent strategies for multiple-step-ahead prediction in local learning, International Journal of Forecasting Volume 27, Issue 3, July–September 2011, Pages 689–699
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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