Release Notes Version 8 0

Version 8.0 of PLS_Toolbox and Solo was released in June, 2015.

For general product information, see PLS_Toolbox Product Page. For information on Solo, see Solo Product Page.

(back to Release Notes PLS Toolbox and Solo)

New Features in Solo and PLS_Toolbox

Analysis and Models

• MLSCA - Multi-level simultaneous component analysis.
• History now captured in history field of Model Object.
• ANN now supports custom cross-validation.
• PLSDA varcap plot now available.
• Better handle full-rank PCA sub-models where Q residuals are zero in simca.

Plotting

• Improve handling of zoom status in newer versions of Matlab.
• Better handling of font sizes.
• Smarter plot style (e.g., scatter vs. bar) assumptions in "automatic" mode.

Importers

• omnicreadr - Reads OMNICix HDF5 image files.
• Improved importer behavior with mixed length data using matchvars during import.
• Updated libraries for Horiba file formats including 64 bit.

Preprocessing

• glog Generalized Log Transform added to preprocessing options.
• pqnorm Probabilistic Quotient Normalization added to preprocessing options.
• ******{REV r19390} glsw Combine ELS/EMM and EPO options (use "inf" to select all PCs to get old ELS behavior)
• Add support for handling missing data in both normaliz and mscorr (median only).

Distribution Fitting Toolbox

• kurtosis: Added kurtosis statistic function.
• skewness: Added skewness statistic function.

Other Interfaces

• Multiblock Tool - Interface to view, manipulate, and join data.
• Model Optimizer - Better handling of numeric data in comparison table, additional statistics, and improved handling of include field.

New Command-line Features and Functions

Misc New Functions

• mlsca Multi-level Simultaneous Component Analysis.
• multiblock Create or apply a multiblock model for joining data.

Command-Line Changes

• matchvars - Add logic to speed up some cases of joins.
• mdcheck - Allow use of KNN as data replacement method (replace missing data with data from sample(s) which are closest).
• jmlimit - Better handle degenerate cases when multiple confidence levels are requested (return VECTOR of zeros instead of single zero).