With multivariate methods it is possible to extract the information found in all variables and summarize it in a few variables, each holding unique information about the data. The Evince software applies such methods on a data set, creating multivariate models of the data. A multivariate model is a representation of the studied data and is comprised of a number of significant variables or components. The model components can be used in various kinds of plots, which provide low-dimension visualizations from the original multidimensional space. See the Introduction to Multivariate Data analysis section for an introduction.

Evince can create four types of multivariate models:
- PCA
- PLS
- PLS-DA
- SIMCA