Principal Component Analysis (PCA)
A multivariate statistical method that projects correlated variables into a smaller set of uncorrelated components to maximize captured variance.
Source: Constructing a FinTech Adoption Index for BRICS+ Economies: Evidence from Principal Component Analysis (Academic research) · p.4
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