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What is Robust PCA for Indonesia about?

This paper discusses the application of Robust Principal Component Analysis (RPCA) to model the Gross Regional Domestic Product (GRDP) of Indonesian provinces, addressing issues of outliers and multicollinearity in traditional regression models. The research utilizes expenditure data from 2018 and identifies that the GRDP is significantly influenced by gross domestic fixed capital formation. The findings indicate a robust regression model with a high degree of accuracy, achieving an R-squared value of 85%.

Author

novima.mustika34

Language

EN