Release Notes Version 7 5

New Features in Solo and PLS_Toolbox

Hierarchical Model Builder

• New graphical interface to build Hierarchical Models based on Model Selector models.
• Allows building of complex classification trees, local model selectors, and input/output filters and tests.
• Branch decisions based on classification models, regression models, decomposition models, or tests on raw input variables.
• Output model predictions, fixed strings or numerical values, or throw errors for each branch.
• Drag and drop models and other objects from the Model Cache, workspace, or file system.
• Compatible with Solo_Predictor for immediate use in on-line applications.

Model Optimizer

• Added ability to automatically survey over preprocessing settings.
• Improved support for PLSDA and SVMDA, added support for new ANN models.
• Improved handling of options and modeling errors.

Artificial Neural Networks

• ANNs added to Analysis window and command-line tools. Build ANN models in the same familiar interface as other models.

New/Improved Importers

• jcampreadr - Add peaktable support.
• Improved memory and speed performance for text parsing

New/Improved Preprocessing Methods

• Extended Multiplicative Scatter Correction (EMSC) now included in base products without additional purchase.

Analysis and Workspace Browser

• Completely revamped options window allows easier saving and restoring of options.
• Export and Import models and calibration data directly from the Model Cache to simplify sharing of models and data with others.
• Easier access to build SVM classification models and SIMCA models on any class set.
• Improved control over SIMCA classification rules and options.
• Add Refine menu to Analysis to better organize menu items and provide access to new hierarchical model builder.
• Add option to browse (see Edit > Options > Workspace Browser Options) to do either concatenation or not when dropping multiple files.

Plot Controls

• Added context-menu options to quickly select all members of a given sample's class
• Added ability to get summary statistics on selected samples (e.g. get mean of all selected samples)

Other

• Add ability to access Sammon components (sammon mapping) in scores.

New Command-line Features and Functions

Misc New Functions

• ann - Artificial Neural Network regression models.
• dataset/copy_clipboard - Copy data and labels to clipboard.
• EGrid - Property grid control based on Jide Property Table.
• emscorr - Extended Multiplicative Scatter Correction (EMSC).
• evritree - Wrapper object for working with jtree in Matlab.
• evritreefcn - Rename of old evritree function.
• hideaxistext - Hides text objects which are outside the current axis limits.
• importtool - GUI for designating column/row data types.
• modelselectorgui - Graphical Interface to build Hierarchical (modelselector) models.
• preprocessiterator- Create array of preprocessing combinations.
• sammon - Computes Sammon projection for data or map.
• textreadr - Reads an ASCII or .XLS file in as a DataSet Object (formally xclreadr).