Which mathematical technique, developed in the 1930s but revolutionizing retail data analytics in the 2010s, uses orthogonal transformation to convert possibly correlated variables into linearly uncorrelated components?

In the world of retail data analytics, mathematical models have transformed how companies understand consumer behavior and market trends. One statistical technique has become particularly famous for its ability to uncover hidden patterns in large datasets, revolutionizing how retailers predict customer preferences and optimize product placement. Test your knowledge about this mathematical breakthrough that changed retail analytics forever.

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Principal Component Analysis (PCA)
Monte Carlo Simulation
Bayesian Inference Networks
Markov Chain Analysis