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Now Available! Version 4.2
Solo version 4.2 includes a number of new tools in our graphical interface.
  • A model and data cache [Show Me!] keeps track of all the models you build so you can easily track back and compare models.
  • Automatic factor selection [Show Me!] suggests a model based on sound statistical tests.
  • Automatic scores plots [Show Me!] direct you to the most important information for your model.
  • IPLS, CLS, KNN all now available in the Analysis GUI.
  • See the complete list of new features here.

Users with licenses can download it now. Not currently a user? Buy a license or request a demo on-line.

NEW OFFERING! Solo can now be purchsed with the additional power to work with Multivariate Images!

Stand-alone graphical chemometrics environment powered by PLS_Toolbox

Solo is stand-alone software which allows the user to perform PLS, PCA and many other multivariate analyses in a point-and-click environment. It includes the main PLS_Toolbox graphical user interfaces, but MATLAB is not required! Version 4.2 introduces a number of improved usability features and access to previously unavailable tools. See our what's new page for a detailed listing of new features.

Convenience - Solo provides the Graphical Interfaces for quickly managing and analyzing data, authoring and applying models and interpreting results. Data can be imported from a variety of different file types and quickly assembled into convenient DataSet objects. Once in a DataSet object the user can easily manage labels, axis scales, and classes and can include/exclude data from the analysis with a click. Modeling and analyzing results is just a matter of drag-and-drop of the data to our comprehensive Analysis GUI. With an integrated modeling guide and access to a large number of analysis and preprocessing techniques, this GUI provides a modeling environment appropriate for novice and expert users alike. Supporting Solo tools provide access to other methods such as variable selection and data review.

Compatibility - Solo is deigned so that model and data files are completely compatible with PLS_Toolbox and MATLAB. This means that people working with Solo can easily collaborate with PLS_Toolbox users sending data, models, or even preprocessing schemes and custom techniques!

Solo includes...

  • Data Exploration and Pattern Recognition (Principal Components Analysis, Parallel Factor Analysis, MCR, Purity...)
  • Classification (SIMCA, PLS Discriminant Analysis, Cluster Analysis with Dendograms...)
  • Regression Modeling (PLS, Principal Components Regression, Multiple Linear Regression...)
  • Self-modeling Curve Resolution, Pure Variable Methods (Multivariate Curve Resolution, CODA_DW, Purity (compare to SIMPLSMA), CompareLCMS...)
  • Instrument Standardization (Piece-wise Direct, Generalized Least Squares Preprocessing...)
  • Multivariate Statistical Process Control Modeling (PCA, Multiway PCA, PARAFAC...)
  • Advanced Graphical Data Set Editing and Visualization Tools
  • Advanced Customizable Order-Specific Preprocessing (Centering, Scaling, Smoothing, Derivatizing...)
  • Missing Data Support
  • Variable Selection (Genetic algorithms, purity-based analysis...)

Version 4.2 of Solo is available for purchase.

NEW LICENSES: You can purchase a copy of Solo using our on-line order form.

UPGRADES: Most version 4.0 users get a free upgrade to version 4.2. Our on-line order form will tell you if you qualify.

If you already have a current Solo license, you can download it now. Our product pricelist information page includes pricing and other order information.

License Maintenance Agreement

Each copy of Solo comes with a one-year license maintenance agreement. As long as this license maintenance agreement is in effect, you will receive all updates to the product for free. You can download updates using your Eigenvector Research user account. After the license maintenance agreement expires, you can only download product versions for which you have already been licensed. Read more about license maintenance agreements here.

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 will be available for users to download from our web site. For information on other support options, see our technical support page.

System Requirements

Solo requires either MAC OSX (Intel) or Windows 2000, 2003, NT, XP or VISTA. 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. Please contact us if you're interested in using Solo on Linux - other options are available!

Eigenvector Research, Inc., 3905 West Eaglerock Drive, Wenatchee, WA 98801
B.M. Wise, bmw@eigenvector.com, Phone: 509.662.9213, Fax: 509.662.9214
N.B. Gallagher, nealg@eigenvector.com, Phone: 509.687.1039