首页> 外文OA文献 >Figure 5: Result of principal component analysis (PCA) showing the relationship between 15 environmental variables and quadrants (A) and PCA scores of 5-minute sub-transects (B) on PC axis 1 and PC axis 3.

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Figure 5: Result of principal component analysis (PCA) showing the relationship between 15 environmental variables and quadrants (A) and PCA scores of 5-minute sub-transects (B) on PC axis 1 and PC axis 3.

机译：图5：主成分分析（PCA）的结果，显示了PC轴1和PC轴3上的15个环境变量和象限（A）和PCA分数的15分钟（B）之间的关系。

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6. The use of XLSTAT in conducting principal component analysis (PCA) when evaluating the relationships between sensory and quality attributes in grilled foods [O] . Natalia P. Vidal, Charles F. Manful, Thu H. Pham, 2020

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Figure 5: Result of principal component analysis (PCA) showing the relationship between 15 environmental variables and quadrants (A) and PCA scores of 5-minute sub-transects (B) on PC axis 1 and PC axis 3.

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