Introduction to Introduction to Sensory Data Analysis - Camo
Introduction to Introduction to Sensory Data Analysis - Camo
Introduction to Introduction to Sensory Data Analysis - Camo
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4. Principal Component <strong>Analysis</strong>: PCA / a) Theory<br />
• Some variables are correlated :<br />
Conclusions on PCA<br />
– ”Firm” and ”Firm inside” //// ”Meltiness”<br />
– ”Toma<strong>to</strong> odor”, ”Toma<strong>to</strong> flavor”, ”Juiciness”, ”Sweetness”, ”External color”<br />
//// ”Mealyness”<br />
Some of those variables can be selected if we want <strong>to</strong> save on time of<br />
sensory analyses<br />
• Some variables are not descriminative: ”Acidity” and ”Skin width”<br />
They don’t have <strong>to</strong> be tested in the future.<br />
• Some <strong>to</strong>ma<strong>to</strong> varieties are presenting similar characteristics:<br />
– F and K are ”Firm”<br />
”<br />
– G and H are ”Firm inside”<br />
– A, O and C are ”Juicy”<br />
– Q and D are ”Melty”<br />
Some can be dropped in a consumer study