pca_scoresplot3D_rgl: 3D PCA scores plot (interactive)
In specmine: Metabolomics and Spectral Data Analysis and Mining

Shows a interactive 3D PCA scores plot of three principal components.

1 2	pca_scoresplot3D_rgl(dataset, pca.result, column.class, pcas = c(1, 2, 3), size = 1, labels = FALSE)

`dataset`	list representing the dataset from a metabolomics experiment.
`pca.result`	prcomp object with the PCA results.
`column.class`	metadata's variable.
`pcas`	vector with the principal components to be plotted.
`size`	parameter of plot3d from rgl package.
`labels`	boolean value indicating if the samples' labels will be shown.

  ### Example of a 3D PCA scores plot
  library(specmine.datasets)
  data(cachexia)
  pca.result = pca_analysis_dataset(cachexia)
  pca_scoresplot3D_rgl(cachexia, pca.result, "Muscle.loss", 
    		       pcas = c(1,2,3), labels = TRUE)