Julia, Stats, Unsupervised Learning, Math, Julialang.
in the fit function. This refers to the proportion of total variance that should be explained by the first k principal components, where k is the number of dimensions in the transformed data. In this instance, where pratio=1, the PCA algorithm will be run such that the first k principal components