Solo Predictor Reference Manual

Introduction

Solo_Predictor, from Eigenvector Research, Inc. (EVRI) 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.

This documentation describes the setup and use of Solo_Predictor and explains the script language used to issue commands.

System Requirements

Solo_Predictor requires the following:

• Operating system:

Windows 2000, XP, 2003 server, or Vista

MAC OS X (Intel only)

Linux (Intel only)

• 200 MB Disk Space
• 200 MB RAM (recommended)

Features and Supported Methods

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:

Comma-, tab-, space-, and other delimited text files (.csv, .dat)

X,Y… delimited files (.xy)

Excel spreadsheets (.xls)

Thermo-Galactic SPC files (single and multifile formats) (.spc)

JCAMP (simple single-record formats) (.jcamp .jdx)

XML (Eigenvector XML data format) (.xml)

Matlab .mat files (.mat)

Note that Solo_Predictor does not support execution of custom, user-defined MATLAB® scripts or commands. Such functionality requires a full MATLAB license. Please contact Eigenvector Research for more information on using Solo_Predictor in a MATLAB environment.

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.