UCLA Department of Statistics

Application of Constrained PCA to Understanding Brands

Methodology: Constrained PCA
Client affiliation: A marketing research firm in San Diego

The objective of this project is to develop an algorithm for Constained PCA that will be used in to learn about positioning as well as weaknesses of brands to be used by a marketing research firm.


As a final product R code was delivered to the client.

The objective of this project is to develop an algorithm for Constained PCA that will be used in to learn about positioning as well as weaknesses of brands.