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The video tutorial introduces Principal Components Analysis as the first tool in multivariate analysis in Minitab software. It explains that PCA is used to identify a smaller number of uncorrelated variables, known as principal components, from a large dataset. These components are linear combinations of the observed variables and aim to explain the maximum variance with the fewest components. For example, a bank may use PCA to analyze information from loan applicants.
