plsrog_loading {loadings}

Partial least squares rank order of groups loading

Description

This function computes partial least squares rank rder of groups (PLS-ROG) loading from the result of the "pls_rog" function. PLS-ROG loading can also be computed from the result of the "pls_rog" function.

Usage

plsrog_loading(plsrog)

Arguments

plsrog

The following variables (P,T,Q and U) are included in the plsrog object.

P : A matrix with PLS-ROG loading for explanatory variable in each column

T : A matrix with PLS-ROG score for explanatory variable in each column

Q : A matrix with PLS-ROG loading for response variable in each column

U : A matrix with PLS-ROG score for response variable in each column

Details

The PLS-ROG loading and the p-value by statistical hypothesis testing is added to the pls object returned by the "pls_rog" function in this package.

Value

The return value is a list object that contains the following elements:

R : PLS-ROG loading (Correlation coefficient between PL-ROG score of response variable and each variables in data matrix.)

p.value : p-value of PLS-ROG loading

Author(s)

Hiroyuki Yamamoto

References

Yamamoto, H. (2017) PLS-ROG: Partial least squares with rank order of groups., Journal of Chemometrics, 31(3) (2017) e2883.

Examples

data(whhl)
X <- whhl$X$liver
Y <- whhl$Y
D <- whhl$D

plsrog <- pls_rog(X,Y,D)

plsrog <- plsrog_loading(plsrog)
plsrog$loading$R
plsrog$loading$p.value