pca_scoresplot3D: 3D PCA scores plot
In specmine: Metabolomics and Spectral Data Analysis and Mining

Shows a 3D PCA scores plot of three principal componets.

1 2	pca_scoresplot3D(dataset, pca.result, column.class, pcas = c(1, 2, 3))

`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.

  ### Example of a 3D PCA scores plot
  library(specmine.datasets)
  data(cachexia)
  pca.result = pca_analysis_dataset(cachexia)
  pca_scoresplot3D(cachexia, pca.result, "Muscle.loss", pcas = c(1,2,3))