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Discovering Partial Least Squares with JMP by Marie Gaudard, Ian Cox

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3Principal Components Analysis: A Brief Visit

Principal Components Analysis

Centering and Scaling: An Example

The Importance of Exploratory Data Analysis in Multivariate Studies

Dimensionality Reduction via PCA

Principal Components Analysis

Like PLS, principal components analysis (PCA) attempts to use a relatively small number of components to model the information in a set of data that consists of many variables. Its goal is to describe the internal structure of the data by modeling its variance. It differs from PLS in that it does not interpret variables as inputs or outputs, but rather deals only with a single matrix. The single matrix is usually denoted by X. Although the components that are extracted can be used in predictive models, in ...

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