The process of combining highly correlated variables into one is called _________.

  • Data Aggregation
  • Principal Component Analysis (PCA)
  • Standardization
  • Variance Inflation
When dealing with multicollinearity, one approach is to combine the correlated variables into one using a technique such as Principal Component Analysis (PCA). PCA creates new uncorrelated variables that capture the information of the original variables.
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