Multivariate Analysis |

The
Multivariate analysis module is useful for exploratory analysis of multivariate
quantitative data. Further, it allows you to perform the principal components
analysis. Multivariate data (formally a random sample with vector-valued
observations) arise as a result of simultaneous measurement of several (
m)
variables on the same unit. For instance, several physical and/or chemical
properties of one sample can be measured, several linear measurements can be
taken on the same piece of product, or there might be several characteristics
for any employee available.
Multivariate Analysis - Pdf manual
Examples of analysis
- Powerful classification and visualization tool
Biplot help to identify different dataAndrews curves reveals multivariate outliersRobust Mahalanobis distance |