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OPCreg  

Online Principal Component Regression for Online Datasets
View on CRAN: Click here


Download and install OPCreg package within the R console
Install from CRAN:
install.packages("OPCreg")

Install from Github:
library("remotes")
install_github("cran/OPCreg")

Install by package version:
library("remotes")
install_version("OPCreg", "4.0.2")



Attach the package and use:
library("OPCreg")
Maintained by
Guangbao Guo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-24
Latest Update: 2025-06-04
Description:
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>.
How to cite:
Guangbao Guo (2025). OPCreg: Online Principal Component Regression for Online Datasets. R package version 4.0.2, https://cran.r-project.org/web/packages/OPCreg. Accessed 24 Oct. 2026.
Previous versions and publish date:
0.2.0 (2025-04-24 19:50), 0.3.0 (2025-05-09 04:30), 1.0.0 (2025-05-21 15:20), 2.0.0 (2025-05-30 05:40), 3.0.0 (2025-06-04 11:30), (2026-07-17 14:20)
Other packages that cited OPCreg R package
View OPCreg citation profile
Other R packages that OPCreg depends, imports, suggests or enhances
Complete documentation for OPCreg
Functions, R codes and Examples using the OPCreg R package
Full OPCreg package functions and examples
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