Partial least squares (PLS) analysis using oscorespls (Orthogonal scores algorithm)

met.PLSR.Anal performs PLS analysis using oscorespls.

Usage

met.PLSR.Anal(mSetObj = NA, reg = FALSE, data = "all")

Arguments

mSetObj

Enter name of the created mSet object (see met.read_data).

reg

(Logical)

data

(Character) Enter "all" to train the PLS(-DA) model on your whole (filtered and normalized) dataset or "anova" to use a subset of features defined as significant based on ANOVA analysis.

Value

The input mSet object with the results of PLS-DA at mSetObj$analSet$plsr.

References

adapted from PLSR.Anal (https://github.com/xia-lab/MetaboAnalystR).

Author

Nicolas T. Wirth mail.nicowirth@gmail.com Technical University of Denmark License: GNU GPL (>= 2)