Release Notes Version 5 5: Difference between revisions

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:[[dspls]] - Partial Least Squares computational engine using Direct Scores algorithm.
:[[dspls]] - Partial Least Squares computational engine using Direct Scores algorithm.
:[[experimentreadr]] - Importer for automatic importing and alignment of X and Y blocks.  
:[[experimentreadr]] - Importer for automatic importing and alignment of X and Y blocks.  
:[[hrmethodreadr]] - Convert a Kaiser HoloReact band integration methods into a preprocessing structure.
:[[knnscoredistance]] - Calculate the average distance to the k-Nearest Neighbors in score space.
:[[knnscoredistance]] - Calculate the average distance to the k-Nearest Neighbors in score space.
:[[pdfreadr]] - Importer for Hamilton Sundstrand PIONIR PDF files.
:[[pdfreadr]] - Importer for Hamilton Sundstrand PIONIR PDF files.
:[[sratio]] - Calculates selectivity ratio for a given regression model.
:[[sratio]] - Calculates selectivity ratio for a given regression model.
:[[cov_cv]] - Estimation of a regularized inverse covariance matrix.
:[[hrmethodreadr]] - Convert a Kaiser HoloReact band integration methods into a preprocessing structure.

Revision as of 16:37, 28 August 2009

Version 5.4 of PLS_Toolbox and Solo was released in August, 2009 as a special limited release to certain OEM customers of Eigenvector Research, Inc.

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

NEW FEATURES

NEW FUNCTIONS AND FILES

correctbias - Automatically adjust regression model for bias and slope errors.
dspls - Partial Least Squares computational engine using Direct Scores algorithm.
experimentreadr - Importer for automatic importing and alignment of X and Y blocks.
hrmethodreadr - Convert a Kaiser HoloReact band integration methods into a preprocessing structure.
knnscoredistance - Calculate the average distance to the k-Nearest Neighbors in score space.
pdfreadr - Importer for Hamilton Sundstrand PIONIR PDF files.
sratio - Calculates selectivity ratio for a given regression model.