OPCreg: Online Principal Component Regression for Online Datasets

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) <doi:10.1016/j.physa.2024.130308>.

Version: 0.2.0
Depends: R (≥ 3.5.0)
Imports: MASS, stats, Matrix, car
Suggests: testthat (≥ 3.0.0)
Published: 2025-04-24
DOI: 10.32614/CRAN.package.OPCreg
Author: Guangbao Guo ORCID iD [aut, cre], Chunjie Wei [aut]
Maintainer: Guangbao Guo <ggb11111111 at 163.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: OPCreg results

Documentation:

Reference manual: OPCreg.pdf

Downloads:

Package source: OPCreg_0.2.0.tar.gz
Windows binaries: r-devel: not available, r-release: OPCreg_0.2.0.zip, r-oldrel: OPCreg_0.2.0.zip
macOS binaries: r-release (arm64): OPCreg_0.2.0.tgz, r-oldrel (arm64): OPCreg_0.2.0.tgz, r-release (x86_64): OPCreg_0.2.0.tgz, r-oldrel (x86_64): OPCreg_0.2.0.tgz

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