partial_project.cross_projector: Partially project data for a cross_projector

In bbuchsbaum/multivarious: Extensible Data Structures for Multivariate Analysis

Partially project data for a cross_projector

Description

Projects new data from either the X or Y domain onto the latent subspace, considering only a specified subset of original features (colind).

Usage

## S3 method for class 'cross_projector'
partial_project(
  x,
  new_data,
  colind,
  least_squares = TRUE,
  lambda = 1e-06,
  source = c("X", "Y"),
  ...
)

Arguments

x	A cross_projector object.
new_data	A numeric matrix (n x length(colind)) or vector, representing the observations corresponding to the columns specified by colind.
colind	A numeric vector of column indices in the original data space (either X or Y domain, specified by source) that correspond to new_data's columns.
least_squares	Logical; if TRUE (default), use ridge-regularized least squares for projection.
lambda	Numeric; ridge penalty (default 1e-6). Ignored if least_squares=FALSE.
source	Character, either "X" or "Y", indicating which domain new_data and colind belong to.
...	Additional arguments (currently ignored).

Value

A numeric matrix (n x d) of factor scores in the latent subspace.

bbuchsbaum/multivarious documentation built on July 16, 2025, 11:04 p.m.