What approach would you use to examine data from multivariate analysis?
Multivariate analysis is based in observation and the analysis of more than one statistical outcome variable at a time.
There are many methods can examine data from multivariate analysis.
1) Factor analysis
It is statistical technique which used to describe the variability among observed variable , correlated variable in terms of potentially lower number of unobserved variables called factors.
2) Linear Discriminat analysis
It is used as dimensionality reduction technique in the pre processing step of pattern classification and machine learning application
3) Principal Components analysis PCA
It is used as orthogonal transformation to convert set of possibly correlated variables into the set of linearly uncorrelated variables called principal components.
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