opls

<p>orthogonal scores algorithn of partial leat squares (opls) projection</p>

internal

Provides functions to do 'O2PLS-DA' analysis for multiple omics data integration.
The algorithm came from "O2-PLS, a two-block (X±Y) latent variable regression (LVR) method with an integral OSC filter"
which published by Johan Trygg and Svante Wold at 2003 <doi:10.1002/cem.775>.
'O2PLS' is a bidirectional multivariate regression method that aims to separate the covariance between
two data sets (it was recently extended to multiple data sets) (Löfstedt and Trygg, 2011 <doi:10.1002/cem.1388>; Löfstedt et al., 2012 <doi:10.1016/j.aca.2013.06.026>)
from the systematic sources of variance being specific for each data set separately.

Kai Guo

o2plsda

Multiomics Data Integration

Junguk Hur

Eva Feldman

opls function

orthogonal scores algorithn of partial leat squares (opls) projection — opls

orthogonal scores algorithn of partial leat squares (opls) projection

opls: orthogonal scores algorithn of partial leat squares (opls) projection

Description

Usage

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