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reference/ggplot_pca.md
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@@ -68,11 +68,12 @@ the changes made based on the source code were:
- pc.biplot:
If true, use what Gabriel (1971) refers to as a "principal component
biplot", with `lambda = 1` and observations scaled up by sqrt(n) and
variables scaled down by sqrt(n). Then inner products between
variables approximate covariances and distances between observations
approximate Mahalanobis distance.
If true, use what [Gabriel
(1971)](#reference+biplot.princomp.Rd+R+3AGabriel+3A1971) refers to as
a “principal component biplot”, with `lambda = 1` and observations
scaled up by sqrt(n) and variables scaled down by sqrt(n). Then inner
products between variables approximate covariances and distances
between observations approximate Mahalanobis distance.
- labels: