Multivariate Analysis: Statistical data analysis of multiple measures for each unit in a sample. This would include methods such as principal component analysis, factor analysis, discriminant analysis, linear discriminant analysis. Use principal component analysis and related methods in feature reduction and feature engineering in practical applications involving simple and multivariate linear regression models.