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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

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