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Explore the application of Latent Variables-based Multivariate Statistical Models, particularly Partial Least Squares Regression (PLS), in Industry 4.0 environments through this comprehensive webinar presented by Alberto Ferrer from the Multivariate Statistical Engineering Group at Universitat Politècnica de València. Discover how PLS models can effectively address industrial challenges by leveraging their unique ability to model causality in latent space, even when working with historical data from highly digitalized settings. Learn from Ferrer's expertise as he demonstrates how these statistical techniques can be implemented to enhance industrial processes and decision-making in the context of Industry 4.0's digital transformation.
