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Introduction to Introduction to Sensory Data Analysis - Camo

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<strong>Sensory</strong> <strong>Data</strong> <strong>Analysis</strong>:<br />

Course outline:<br />

1. Why sensory data analysis<br />

2. <strong>Data</strong> collection and experimental design<br />

3. Inspection and preparation of the data<br />

a. Theory<br />

b. Demo in Quali‐Sense<br />

4. Principal Component <strong>Analysis</strong>: PCA<br />

a. Theory<br />

b. Demo in The Unscrambler<br />

5. Partial‐Least Square Regression: PLS<br />

a. Theory<br />

b. Demo in The Unscrambler

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