Eigenvector Research, Inc. software

Solo empowers scientists and engineers with a host of point-and-click data-discovery tools including PLS, PCA and many other multivariate and machine learning methods. It includes the main PLS_Toolbox graphical user interfaces, but MATLAB is not required! Import data from a variety of different file types and quickly assemble it into convenient DataSet objects to easily manage labels, axis scales, and classes. Include/exclude data from the analysis with just a click. Drag-and-drop data to our comprehensive Analysis window for modeling and analyzing results. Our integrated modeling guide and access to a large number of analysis and preprocessing techniques makes this graphical user interface environment appropriate for novice and expert users alike.

Solo+MIA combines the stand-alone graphical environment of Solo with the Multivariate Image Analysis (MIA) tools from our popular MIA_Toolbox. This combination allows users to apply multivariate analysis tools directly to hyperspectral image data and view the results in image format.