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OPCreg (version 2.0.0)

Online Principal Component Regression for Online Datasets

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) .

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Version

Install

install.packages('OPCreg')

Monthly Downloads

520

Version

2.0.0

License

GPL-3

Maintainer

Guangbao Guo

Last Published

May 30th, 2025

Functions in OPCreg (2.0.0)

IPCR

Incremental Principal Component Regression for Online Datasets
PPCR

Perturbation-based Principal Component Regression
IPC

The incremental principal component method can handle online data sets.
SAPC

The stochastic approximate component method can handle online data sets.
SPCR

The stochastic principal component method can handle online data sets.
PCR

Principal Component Regression (PCR)
PPC

The perturbation principal component method can handle online data sets.
spcrl

The stochastic principal component regression with varying learning-rate can handle online data sets.
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