Release Notes Version 5 8
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Version 5.8 of PLS_Toolbox and Solo was released in February , 2010.
For general product information, see PLS_Toolbox Product Page. For information on Solo, see Solo Product Page.
NEW FEATURES
- Updated for Matlab 2010a compatibility.
Model Building
- SVM
- LWR
- PLSDA: Fixes to details fields.
- ALS: Fix bug which causes ALS to fail when dropping all-zero components WITH concentration equality constraints "on".
- TrendTool - now outputs model structures which can be used to make predictions on new data.
Scores Plots
Preprocessing
- Add Transmission to Absorbance preprocessing method (-log10(T)).
Importers/Exporters
- Analytical Spectral Devices (ASD) Indico (Versions 6 and 7) data file reader added.
- Horiba JY file importer fixes to data type handling.
- Fix XLSREADR for 64-bit Matlab bug which may return sheets as empty cell array.
Other Enhancements
- Analysis: Demo datasets now available from Model Cache.
- Analysis: Methods menu now listed in labeled categories.
- Analysis: Add "permutation test" to tools menu. IS THERE A LINK TO EXPLAIN WHAT PERMUTATION TEST IS?
- DataHat: Add support for MCR (model-only) input.
- Plot Controls: Copy Figure now works on non-PC platforms.
- PLSDAROC Add mouse-over and simple-click actions to plot.
- Purity: Uses include field correctly.
- improvements for MAC platform appearance
- NND Score Distance calculation now uses Mahalanobis distance
- DataSet Editor: Improved Copy/Paste functionality from data table (labels included and formatted for Excel compatibility)
- improved GUI position remembering and automatic docking.
NEW FUNCTIONS AND FILES
- asdreadr - Imports data from Analytical Spectral Devices (ASD) Indico (Versions 6 and 7) data files.
- clipboard_image - Copy and paste images to/from the system clipboard.
- ismodel - Returns boolean TRUE if input object is a standard model structure.
- svm - Support Vector Machine (LIBSVM) for regression or classification.
- svmda - Support Vector Machine (LIBSVM) for classification.
- svmengine - Support Vector Machine for classification or regression using the LIBSVM package.