Predict from a Response-Aligned MFA Fit

Usage

# S3 method for class 'response_aligned_mfa'
predict(
  object,
  new_data,
  block,
  type = c("response", "scores", "reconstruction"),
  new_response = NULL,
  response_weight = NULL,
  new_anchor_map = NULL,
  anchor_weight = NULL,
  conditional = FALSE,
  preprocess = TRUE,
  ...
)

Arguments

object: A fitted `response_aligned_mfa` object.
new_data: Numeric matrix/data.frame of new rows from a known predictor block.
block: Character or integer identifying the block.
type: One of `"response"`, `"scores"`, or `"reconstruction"`.
new_response: Optional observed multivariate response rows used to refine the latent-score solve when `conditional = TRUE`.
response_weight: Optional scalar or vector of non-negative row weights paired with `new_response`.
new_anchor_map: Optional anchor assignments for the new rows used to refine the latent-score solve.
anchor_weight: Optional scalar or vector of non-negative row weights paired with `new_anchor_map`.
conditional: Logical; if `TRUE`, allow conditional completion with `new_response`. The default `FALSE` keeps prediction target-pure.
preprocess: Logical; if `TRUE` (default), applies the fitted predictor and response preprocessing pipelines before projection.
...: Unused.

Value

A numeric matrix of predicted responses, latent scores, or reconstructed block rows.