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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "OPCreg" in publications use:'
type: software
license: GPL-3.0-only
title: 'OPCreg: Online Principal Component Regression for Online Datasets'
version: 3.0.0
doi: 10.32614/CRAN.package.OPCreg
abstract: The online principal component regression method can process the online
  data set. 'OPCreg' implements the online principal component regression method,
  which is specifically designed to process online datasets efficiently. This method
  is particularly useful for handling large-scale, streaming data where traditional
  batch processing methods may be computationally infeasible.The philosophy of the
  package is described in 'Guo' (2025) <https://doi.org/10.1016/j.physa.2024.130308>.
authors:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com
  orcid: https://orcid.org/0000-0002-4115-6218
- family-names: Wei
  given-names: Chunjie
repository: https://guangbaog.r-universe.dev
commit: 2e24af06896fe0019436a20b75ecc9d2ad56566f
date-released: '2025-06-04'
contact:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com
  orcid: https://orcid.org/0000-0002-4115-6218