PLS_Toolbox Unleashed!

Solo empowers scientists and engineers with a host of point-and-click data-discovery tools including PLS, PCA and many other multivariate 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 provides the Graphical Interfaces to quickly manage and analyze data, author and apply models and interpret results.

Key Methods Included:

  • Data Exploration and Pattern Recognition (Principal Components Analysis (PCA), Parallel Factor Analysis (PARAFAC), Multiway PCA...)
  • Classification (SIMCA, k-nearest neighbors, PLS Discriminant Analysis, Support Vector Machine Classification, Clustering (HCA)...)
  • Linear and Non-Linear Regression (PLS, Principal Components Regression (PCR), Multiple Linear Regression (MLR), Classical Least Squares (CLS), Support Vector Machine Regression, Artificial Neural Networks, N-way PLS, Locally Weighted Regression...)
  • Self-modeling Curve Resolution, Pure Variable Methods (Multivariate Curve Resolution (MCR), Purity (compare to SIMPLSMA), CODA_DW, CompareLCMS...)
  • Curve fitting and Distribution fitting and analysis tools
  • Instrument Standardization (Piece-wise Direct, Windowed Picewise, OSC, Generalized Least Squares Preprocessing...)
  • Advanced Graphical Data Set Editing and Visualization Tools
  • Advanced Customizable Order-Specific Preprocessing (Centering, Scaling, Smoothing, Derivatizing, Transformations, Baselining...)
  • Missing Data Support (SVD and NIPALS)
  • Variable Selection (Genetic algorithms, IPLS, Selectivity, VIP...)

System Requirements

MAC OSX (Intel), Linux, or Windows XP, VISTA, Win7, Win 8. 250 MB of disk space and a recommended minimum of 500 MB of RAM (more may be necessary for some data) and a minimum of 16 bit color graphics are also required.



Product Support

Eigenvector Research offers user support for Solo by e-mail at helpdesk@eigenvector.com. Questions are almost always answered within 24 hours (and usually much less). Updates and bug fixes can be downloaded from our web site. For information on other support options, see our technical support page.

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Order Solo

For information on multi-client servers, site-licenses, and OEM options, contact us by phone (509.662.9213) or e-mail (sales@eigenvector.com). Our product pricelist information page includes pricing and other order information for all of our products.