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OPCreg

4.0.2Package record

Online Principal Component Regression for Online Datasets

0packages depend
5.3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

Documentation signals are not tracked yet for this package.

Websitenot tracked

Downloads

5.3K
CRAN downloads in the past year
Rank #20,744 · ~15/day · ~446/mo
OPCreg
Daily download trend is not available in this view yet.
28530 days
63290 days
5.3K1 year
Compare downloads with other packages →
Also on70 r2u4 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing OPCreg adds no packages beyond those that come with R.

Depends (1)
R >= 3.5.0
Imports (3)
MASSstatsMatrix
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.2.0 (2025)
Releases (6)

Package metadata

First published
2025-04-24
Total releases
6 / 1 yrs
License
GPL-3 OSI
Download size
54 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("OPCreg")
Guo, G., & Wei, C. (2026). OPCreg: Online Principal Component Regression for Online Datasets (Version 4.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.OPCreg

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for OPCreg version 4.0.2 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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