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Research article

First published 2004-9

Effects of Nonlinearities and Uncorrelated or Correlated Errors in Realistic Simulated Data on the Prediction Abilities of Augmented Classical Least Squares and Partial Least Squares

David K. Melgaard, David M. Haaland

Applied Spectroscopy

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Research article

First published 2002-5

Concentration Residual Augmented Classical Least Squares (CRACLS): A Multivariate Calibration Method with Advantages over Partial Least Squares

David K. Melgaard, David M. Haaland, Christine M. Wehlburg

Applied Spectroscopy

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Research article

First published 2001-1

New Classical Least-Squares/Partial Least-Squares Hybrid Algorithm for Spectral Analyses

David M. Haaland, David K. Melgaard

Applied Spectroscopy

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Research article

First published 2007-7

Importance of Prediction Outlier Diagnostics in Determining a Successful Inter-Vendor Multivariate Calibration Model Transfer

Robert D. Guenard, Christine M. Wehlburg, Randy J. Pell [...]

Applied Spectroscopy

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Research article

First published 2002-5

New Hybrid Algorithm for Maintaining Multivariate Quantitative Calibrations of a Near-Infrared Spectrometer

Christine M. Wehlburg, David M. Haaland, David K. Melgaard [...]

Applied Spectroscopy

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Research article

First published 2002-7

New Hybrid Algorithm for Transferring Multivariate Quantitative Calibrations of Intra-Vendor Near-Infrared Spectrometers

Christine M. Wehlburg, David M. Haaland, David K. Melgaard

Applied Spectroscopy

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Research article

First published 2012-9

Calibration Transfer from Pharmaceutical Powder Mixtures to Compacts Using the Prediction Augmented Classical Least Squares (PACLS) Method

Zhenqi Shi, Benoît Igne, Robert W. Bondi [...]

Applied Spectroscopy

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Research article

First published 2000-2

Synthetic Multivariate Models to Accommodate Unmodeled Interfering Spectral Components during Quantitative Spectral Analyses

David M. Haaland

Applied Spectroscopy

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