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Using multivariate analysis to analyze soil and rocks on Mars | 
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BevScan: through-the-bottle NIR wine analyzer | |
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Timmerman Analytical: Increasing the use of chemometrics in Southern Africa |
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Combining precision instruments with powerful analytics | |
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Analyzing spectra to conserve Viking history | |
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Murdoch University: Analysing big data sets from small molecules | |
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South Dakota School of Mines: Predictive modeling for geologic and hydrologic processes | |
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Jplus Consulting: Complementing the Unscrambler® X with hard modeling | |
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Bang & Olufsen: It's an all-in-one software tool | |
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An efficient product re-formulation using The Unscrambler® | |
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Multivariate data analysis in sensory science using The Unscrambler® | |
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Partial Least Squares (PLS) Regression. | |
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Assessing Performance of a Sensory Panel-Panelist Monitoring and Tracking | |
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3-way & 3-Block PLS Regression in Consumer Preference Analysis | |
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A comparative study of FT-Raman and NIR-S Method for assessment of Protein and apparent amylose in Rice | |
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Asphaltene Aggregation from crude oils and model systems studied by high- pressure NIR-Spectroscopy | |
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Processing Structured Data to Help Smart People Get Smarter | |
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Interpreting Statistical Software "Error" Messages |  |
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Martens Uncertainty Test [low-res graphics version - HTML | |
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Improvements To Preference Cluster Mapping | |
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Using Sensory to Predict Potential Market Share Growth | |
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Sensory and Cognitive Factors in Food Preference | |
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The End of Sensory Science, D. Lundahl | |
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Classification of Herbal medicines using FTIR spectra analysis | |
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Statistics and Data Mining in the Analysis of Massive Data Sets, J. Kolsky | |
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Interpreting Results from Cluster Analysis, J. Kolsky | |
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Thurstonian Models - an Answer to Gridgeman's Paradox, D. Lundahl | |
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