Multivariate Statistical Process Control (MSPC)

Multivariate Statistical Process Control is an implementation of a number of techniques used in statistical multivariate data analysis including Principal Component analysis and Partial Least Squares.

Note: Learn more about the object model by reading Statistica user documentation. The Statistica application's user interface and object model have similar options. The documentation contains overviews of the analytics, descriptions of the input and outputs for the analyses, and step-by-step examples.