Release Notes Version 8 5

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Revision as of 10:13, 30 August 2017 by imported>Scott (→‎Calibration Transfer)
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DRAFT

Changes and Bug Fixes in Version 8.5

Version 8.5 of PLS_Toolbox and Solo was released in September, 2017.

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

  • The primary focus of version 8.5 has been in Calibration Transfer and additional importers.
  • PLS_Toolbox/Solo 8.5 has been tested extensively with Matlab 2017b prerelease and should be compatible with the coming release.
  • Simplified interface design changes. Various controls have been moved to simplify interfaces. Seldom used settings have been moved to options in several cases (e.g., simplified SVM panel).

Calibration Transfer

  • NLSTD - Create or apply non-linear instrument transfer models (PLS_Toolbox only).
  • SST - Spectral Subspace Transformation calibration transfer.
  • Corn DSO - New calibration transfer demonstration data set added. 80 samples of corn measured on 3 different NIR spectrometers with moisture, oil, protein and starch values for each of the samples is also included.

Importers

  • aqualogreadr - Improved capability of loading multiple files containing samples of varying sizes (PLS_Toolbox only).
  • jascoeemreadr - Improved capability of loading multiple files containing samples of varying sizes (PLS_Toolbox only).
  • hitachieemreadr - Improved capability of loading multiple files containing samples of varying sizes (PLS_Toolbox only).
  • RAWREAD - Added support for new version format (3 & 4) (See MIA_Toolbox).
  • SPGREADR Added new feature, options.spectrumindex now can be an integer, an array of integers (indices, & order doesn't matter), or 'all'. When loading multiple files, options.spectrumindex must be either a single value or 'all'.

Other Features and Improvements

  • RPLS - A recursive PLS and PCR variable selection algorithm.
  • MANHATTANDIST - Calculate Manhattan Distance between rows of a matrix.
  • Added GLS Weighting to model optimizer.