| AbstractMultiClassPLS |
Ancestor for schemes that predict multiple classes.
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| AbstractPLS |
Ancestor for PLS implementations.
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| AbstractSingleClassPLS |
Ancestor for schemes that predict a single class.
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| DIPLS |
Domain Invariant Partial Least Squares (DIPLS).
For more information see:
Ramin Nikzad-Langerodi, Werner Zellinger, Edwin Lughofer,, Susanne Saminger-Platz.
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| KernelPLS |
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space
For more information see:
Roman Rosipal, Leonard J.
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| MatrixHelper |
Helper class for the matrix-algorithm library.
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| NIPALS |
Nonlinear Iterative Partial Least Squares (NIPALS).
For more information see:
scikit-learn.
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| OPLS |
Orthogonal Projections to latent structures (O-PLS).
For more informatio see:
Johan Trygg, Svante Wold (2001).
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| PLS1 |
Implementation of PLS1 algorithm.
For more information see:
Tormod Naes, Tomas Isaksson, Tom Fearn, Tony Davies (2002).
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| PRM |
Partial robust M-regression (PRM).
For more information see:
Sven Serneels, Christophe Croux, Peter Filzmoser, Pierre J.Van Espen (2005).
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| SIMPLS |
Implementation of SIMPLS algorithm.
Available matrices: W, B
For more information see:
Tormod Naes, Tomas Isaksson, Tom Fearn, Tony Davies (2002).
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| SparsePLS |
Nonlinear Iterative Partial Least Squares (SparsePLS).
Automatically standardizes X and Y internally.
For more information see:
Chun H, Keles S. (2010).
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| VCPLS |
Variance constrained partial least squares.
For more information see:
Xiubao Jiang, Xinge You, Shujian Yu, Dacheng Tao, C.L.
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