Compute score and orthogonal distances for Principal Components (objects of class 'Pca')
Compute score and orthogonal distances for an object (derived from)
an object of class (derived from)
The data matrix for which the
rank of data
Criterion to use for computing the cutoff values.
This function calculates the score and orthogonal distances and the appropriate cutoff values for identifying outlying observations. The computed values are used to create a vector a of flags, one for each observation, identifying the outliers.
An S4 object of class derived from the virtual class
the same object passed to the function, but with the score and orthogonal
distances as well as their cutoff values and the corresponding flags appended to it.
Valentin Todorov email@example.com
M. Hubert, P. J. Rousseeuw, K. Vanden Branden (2005), ROBPCA: a new approach to robust principal components analysis, Technometrics, 47, 64–79.
Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47. URL http://www.jstatsoft.org/v32/i03/.
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