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Loading plots provide a means to visualize the coefficients for two selected principal components. Score plots provide a means of viewing the original data in the new (reduced) dimensional space of two indicated PCs (typically PC1 as the horizontal axis and PC2 as the vertical axis).

Scree plots are used to visualize raw eigenvalues for each principal component (PC) identified in principal component analysis (PCA). It is often used to visualize genetic distance and relatedness between populations. PCA is mostly used as a tool in exploratory data analysis and for making predictive models.

Principal Component Analysis (PCA), a method used to project data in higher dimensional space into a lower dimensional space by maximizing the variance of each new dimension.