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Based on mva, we can visualize the deeper insight of multiple variables. There are more than 20 different methods to perform multivariate analysis and which method is best depends on the type of data and the problem you are trying to solve. Several multivariate data analysis techniques became accessible to organizations and later, to everyone with a personal computer. Even within one general type of multivariate analysis, such as multiple regression or factor analysis, there may be such a variety of ways to go that two analyzers may easily reach quite different conclusions when independently analyzing the same data. caf online training introduction to multivariate data analysis part1a presented by dr janine colling (jcollingsun.). This book provides an introduction to the analysis of multivariate data. It should be suitable for statisticians and other research workers who are familiar with basic probability theory and elementary inference, and also have a basic grounding in matrix algebra. this book provides an introduction to the analysis of multivariate data. It describes multivariate probability distributions, the preliminary analysisof a large -scale set of data, princ iple component and factor analysis,traditional normal theory material, as well as multidimensional scaling andcluster analysis. Introduction to multivariate analysis provides a reasonable blend oftheory and. Introduction to multivariate regression analysis article (pdf available) in hippokratia 14(suppl 1)23-8 december 2010 with 10,613 reads how we measure reads.