The methods available in Evince are based on extensive
chemometric research performed during the last decades.
These methods are well established in the literature where multivariate data analysis techniques
such as Principal Component Analysis (PCA) and Partial Least Squares Regression (PLS) are
widely accepted for solving problems with large amounts of variables.
The PCA and PLS modelling is the basis for the functionality of Evince, where additional methodology,
e.g. image analysis and QSAR, is introduced for creating an extensive analysis platform.
New functionality can easily be introduced due to the efficient module-based design of Evince.
Please see the further reading section for references to some important works within chemometric research!
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