o2m_stripped: Perform O2-PLS with two-way orthogonal corrections

In OmicsPLS: Data Integration with Two-Way Orthogonal Partial Least Squares

Description

NOTE THAT THIS FUNCTION DOES NOT CENTER NOR SCALES THE MATRICES! Any normalization you will have to do yourself. It is best practice to at least center the variables though. A stripped version of O2PLS

Usage

o2m_stripped(X, Y, n, nx, ny)

Arguments

X	Numeric matrix. Vectors will be coerced to matrix with as.matrix (if this is possible)
Y	Numeric matrix. Vectors will be coerced to matrix with as.matrix (if this is possible)
n	Integer. Number of joint PLS components. Must be positive.
nx	Integer. Number of orthogonal components in X. Negative values are interpreted as 0
ny	Integer. Number of orthogonal components in Y. Negative values are interpreted as 0

Details

If both nx and ny are zero, o2m is equivalent to PLS2 with orthonormal loadings. This is a stripped implementation of O2PLS, using svd. For data analysis purposes, consider using o2m.

Value

A list containing

Tt	Joint X scores
W.	Joint X loadings
U	Joint Y scores
C.	Joint Y loadings
P_Yosc.	Orthogonal X loadings
P_Xosc.	Orthogonal Y loadings
B_U	Regression coefficient in Tt ~ U
B_T.	Regression coefficient in U ~ Tt
H_TU	Residuals in Tt in Tt ~ U
H_UT	Residuals in U in U ~ Tt

See Also

o2m

OmicsPLS documentation built on May 19, 2021, 5:08 p.m.