lplsData: L-PLS data simulation for exo-type analysis

In khliland/multiblock: Multiblock Data Fusion in Statistics and Machine Learning

L-PLS data simulation for exo-type analysis

Description

Three data blocks are simulated to express covariance in an exo-L-PLS direction (see lpls. Dimensionality and number of underlying components can be controlled.

Usage

lplsData(I = 30, N = 20, J = 5, K = 6, ncomp = 2)

Arguments

I	numeric number of rows of X1 and X2
N	numeric number of columns in X1 and X3
J	numeric number of columns in X2
K	numeric number of rows in X3
ncomp	numeric number of latent components

Value

A list of three matrices with dimensions matching in an L-shape.

Author(s)

Solve Sæbø (adapted by Kristian Hovde Liland)

See Also

Overviews of available methods, multiblock, and methods organised by main structure: basic, unsupervised, asca, supervised and complex.

Examples

lp <- lplsData(I = 30, N = 20, J = 5, K = 6, ncomp = 2)
names(lp)

khliland/multiblock documentation built on April 17, 2025, 5:09 p.m.