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cff-version: 1.2.0
message: 'To cite package "dipca" in publications use:'
type: software
license: GPL-3.0-only
title: 'dipca: Dynamic Inner Principal Component Analysis'
version: 0.1.0
doi: 10.32614/CRAN.package.dipca
abstract: Implements Dynamic Inner Principal Component Analysis (DiPCA), Dynamic Inner
  Canonical Correlation Analysis (DiCCA), and Dynamic Inner Partial Least Squares
  (DiPLS) for multivariate time series analysis. These methods extract latent components
  that follow autoregressive models, enabling temporal prediction and reconstruction.
  Based on the methods of Dong and Qin (2018) <https://doi.org/10.1016/j.jprocont.2017.05.002>
  for DiPCA, Dong and Qin (2018) <https://doi.org/10.1016/j.ifacol.2018.09.379> for
  DiCCA, and Dong and Qin (2018) <https://doi.org/10.1016/j.jprocont.2018.04.006>
  for DiPLS. Integrates with the 'multivarious' package framework for consistent preprocessing
  and projection interfaces.
authors:
- family-names: Buchsbaum
  given-names: Bradley R.
  email: brad.buchsbaum@gmail.com
repository: https://bbuchsbaum.r-universe.dev
commit: 7fc174f62911a97ad15aa415ad1918d6fb7502e5
date-released: '2026-02-14'
contact:
- family-names: Buchsbaum
  given-names: Bradley R.
  email: brad.buchsbaum@gmail.com