Large data matrices, consisting of observations and variables,
are normally difficult to overview and information is hard to gather
as two or more variables often share the same information.
Evince handles these problems by creating multivariate models,
which are simple representations of the data. Multivariate models consist
of model components showing important information in the original data and these can be used in visualizations.
The Evince workflow can be seen described by the following scheme:
A modern software for multivariate data analysis & chemometrics
A complete system for keeping track of your chemical storage
Multivariate data analysis consulting within biotechnology and chemistry