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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.

The PLS_Toolbox is a collection of advanced chemometric routines, i.e., tools designed specifically for modeling data from chemical systems. Originally named for the partial least squares (PLS) routines that have become a mainstay for calibration model development, the PLS_Toolbox now contains over 100 functions that can be used in a variety of technical areas. This includes linear and nonlinear modeling tools, along with functions that help the user apply them in the chemical laboratory or process environment. Tools included in the toolbox are point and click graphical user interfaces for principal components analysis and partial least squares regression and a suite of tools for the analysis of multi-way data.
With MIA_Toolbox, multivariate images from remote sensing to microscopy can be easily analyzed using the same PLS_Toolbox tools you are already familiar with. MIA_Toolbox allows you to load, manipulate, and analyze multivariate images in the Analysis Graphical interface as well as using many of the higher-level command-line functions. Principal components analysis, multivariate curve resolution, SIMCA and PLSDA classification, K-Means clustering, and even regression can all be performed on images with this extension pack.
Extended Multiplicative Scatter Correction (EMSC) is a powerful preprocessing technique used to isolate and remove complicated multiplicative and additive effects, such as those caused by light scattering in reflectance spectroscopy. It expands on the popular Multiplicative Scatter/Signal Correction (MSC) technique by offering much improved flexibility in identifying known interferences to remove as well as scaling targets and known analyte spectra. Eigenvector Research is offering this powerful patented technique as an add-on for use with PLS_Toolbox as EMSC_Toolbox.
Model_Exporter converts models created within the PLS_Toolbox or Solo chemometrics modeling environments into an interpretable format for use outside of these products.

 




Solo_Predictor is a stand-alone model application engine which applies models created by PLS_Toolbox or Solo. Solo_Predictor features a simple and flexible scripting language, platform and operating system independent interface, and an inherent distributed-computation design.

See what makes NeuroSolutions the premier neural network development environment. Take a few minutes to browse through the key benefits of the software, or simply visit the topics that interest you.


Solo_Predictor is a prediction engine which supports importing of data and models from an external source, application of those models to the data, and retrieval of the values from the prediction. It supports predictions for all methods which produce standard model structures in PLS_Toolbox and Solo. This includes all methods in the Analysis GUI (including, but not limited to, PCA, PARAFAC, MCR, Purity, PLS, PCR, MLR, PLSDA, SIMCA), Calibration Transfer GUI, and any other PLS_Toolbox command-line functions which produce standard model structures. Solo_Predictor also supports:
• All preprocessing methods available in the custom Preprocessing GUI.
• Missing data replacement (where supported by the model type)
• Variable pre-alignment to model (handles resampling, extra variables, missing variables)
• Importing all data types supported by the Analysis GUI and Workspace Browser including, but not limited to:
o Comma-, tab-, space-, and other delimited text files (.csv, .dat)
o X,Y… delimited files (.xy)
o Excel spreadsheets (.xls)
o Thermo-Galactic SPC files (single and multifile formats) (.spc)
o JCAMP (simple single-record formats) (.jcamp .jdx)
o XML (Eigenvector XML data format) (.xml)
o Matlab .mat files (.mat)

Solo_Predictor can be connected through a socket interface using TCP/IP, through an ActiveX-to-socket adaptor, or operate in a wait-for-file mode. It can send results to a client and/or write to an output file. Solo_Predictor also maintains a text-based log file to aid with diagnosis of problems.

Powerful - Solo_Predictor supports all standard PLS_Toolbox and Solo model types, including: PCA, PLS, PCR, CLS, MCR, MPCA, SIMCA, PLSDA, Purity, KNN, PARAFAC, PARAFAC2, Tucker, NPLS, and others!

Supports all preprocessing methods available in the custom preprocessing interface of PLS_Toolbox or Solo including mean centering, autoscaling, block scaling, derivatives, smoothing, baselineing, OSC, SNV, MSC, EMSC, normalization, GLSW, and more!

Supports instrument standardization developed in PLS_Toolbox or Solo in the new CalTransfer GUI.

Simple - Manage data and models and retrieve results using a simple and flexible scripting language. Pass data as XML or plain-text directly from a client application or use script commands to import any file format supported by PLS_Toolbox or Solo.

Flexible - Solo_Predictor offers a wide range of interfacing options to simplify connection to existing clients and data management systems. Interfaces include TCP/IP sockets, ActiveX interface, or a simple Wait-for-File mode. Solo_Predictor can be located on the same computer as a client application (local operation) or on a networked computer (networked operation). A single Solo_Predictor server can also act as a prediction engine for more than one client (multi-client license required). Solo_Predictor is also operating system independent --It is available for Windows, Intel MAC OS X, and Intel Linux.

 

System Requirements

Solo_Predictor requires Windows 2000, NT, XP or later, MAC OS X (Intel), 250 MB of free disk space, and a recommended minimum of 100 MB of RAM (more may be necessary for some applications). Networked operation requires a network card and infrastructure (not required for local client operation).

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