Operations Research: International Conference Series
Vol 3, No 1 (2022)

Comparison of Partial Least Squares Regression and Principal Component Regression for Overcoming Multicollinearity in Human Development Index Model

Ravika Dewi Samosir (Unknown)
Deiby Tineke Salaki (Unknown)
Yohanes Langi (Unknown)

Article Info

Publish Date
05 Mar 2022

Abstract

One of the assumptions in ordinary least squares (OLS) in estimating regression parameter is lack of multicollinearity. If the multicollinearity exists, Partial Least Square (PLS) and Principal Component Regression (PCR) can be used as alternative approaches to solve the problem. This research intends to compare those methods in modeling factors that influence the Human Development Index (HDI) of North Sumatra Province in 2019 obtained from the Central Bureau of Statistics. The result indicates that the PLS outperforms the PCR in term of  the coefficient of determination and squared error

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Journal Info
Operations Research: International Conference Series
Website

Abbrev

Orics

Publisher

Indonesian Operations Research Association

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics

Description

Operations Research: International Conference Series (ORICS) is published 4 times a year and is the flagship journal of the Indonesian Operational Research Association (IORA). It is the aim of ORICS to present papers which cover the theory, practice, history or methodology of OR. However, since OR ...