pls (version 2.9-0)

nipals.fit: NIPALS PLS with missing values

Description

A NIPALS implementation that tolerates NAs in both X and Y by ignoring them when updating scores and loadings. This is useful when the design matrix is incomplete but the number of components is relatively low.

Usage

nipals.fit(
  X,
  Y,
  ncomp,
  center = TRUE,
  stripped = FALSE,
  maxiter = 500,
  tol = 1e-06,
  ...
)

Value

A list with the same components as nipals.fit, but the computations never fail in the presence of missing entries.

Arguments

X

numeric matrix (or coercible) of predictors. Missing values are allowed and handled internally.

Y

numeric matrix (or coercible) of responses. Missing values are also handled internally.

ncomp

number of PLS components to extract.

center

logical whether to center X and Y before fitting. Means ignore missing entries.

stripped

logical. If TRUE only the coefficients and the mean vectors are returned.

maxiter

maximum number of inner iterations to force convergence on each component.

tol

tolerance used to stop the inner loop when the direction vector changes very little.

...

currently ignored.