One of the types of objects in PRAAT. See the Principal component analysis tutorial.
An object of type PCA represents the principal components analysis of a multivariate dataset.
Commands
Creation:
Inside a PCA
With Inspect you will see that this type contains the same attributes as an Eigen with the following extras:
-
numberOfObservations
-
the number of observations in the multivariate dataset that originated the PCA, usually equal to the dataset's number of rows.
-
labels[1..dimension]
-
the label that corresponds to each dimension.
-
centroid
-
the centroids of the originating multivariate data set.
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© djmw, March 23, 1999