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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.0.0 |
rolling linux/jammy R-4.5 | OPCreg_3.0.0.tar.gz |
128.8 KiB |
3.0.0 |
rolling linux/noble R-4.5 | OPCreg_3.0.0.tar.gz |
128.7 KiB |
3.0.0 |
rolling source/ R- | OPCreg_3.0.0.tar.gz |
50.5 KiB |
3.0.0 |
latest linux/jammy R-4.5 | OPCreg_3.0.0.tar.gz |
128.8 KiB |
3.0.0 |
latest linux/noble R-4.5 | OPCreg_3.0.0.tar.gz |
128.7 KiB |
3.0.0 |
latest source/ R- | OPCreg_3.0.0.tar.gz |
50.5 KiB |
3.0.0 |
2026-04-26 source/ R- | OPCreg_3.0.0.tar.gz |
50.5 KiB |
3.0.0 |
2026-04-23 source/ R- | OPCreg_3.0.0.tar.gz |
50.5 KiB |
3.0.0 |
2026-04-09 windows/windows R-4.5 | OPCreg_3.0.0.zip |
132.2 KiB |