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.
lplsData(I = 30, N = 20, J = 5, K = 6, ncomp = 2)
numeric
number of rows of X1 and X2
numeric
number of columns in X1 and X3
numeric
number of columns in X2
numeric
number of rows in X3
numeric
number of latent components
A list
of three matrices with dimensions matching in an L-shape.
Overviews of available methods, multiblock
, and methods organised by main structure: basic
, unsupervised
, asca
, supervised
and complex
.
lp <- lplsData(I = 30, N = 20, J = 5, K = 6, ncomp = 2)
names(lp)
#> [1] "X1" "X2" "X3"