To tackle these challenges, we propose a novel thresholded multivariate principal component analysis (PCA) method for multichannel profile monitoring.

R software will be used in this course. This course covers: Differences between multivariate analysis and univariate analysis Differences between dimension reduction and clustering Principle Component ...

We first show that PCA can be formulated as a regression-type optimization problem; sparse loadings are then obtained by imposing the lasso (elastic net) constraint on the regression coefficients.

The Q3 update also expands existing PCA and PLS multivariate models to extend the benefits of advanced analytics efforts beyond the data experts and across the organization.