**6.1 The visual approach of correlation**

Once the analysis is complete, we wish to assign a name to each retained component that describes its content. To do this, we need to know what variables explain the components. Correlations of the variables with the principal components are useful tools that can help interpreting the meaning of components. The correlations between each variable and each principal component are given in Table 4.


Notes : PCA1 and PCA2 denote the first and second principal component, respectively.
