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Thank you for the wonderful news that v. 7 has now been released. Even though practically every multivariate statistical technique/method could alternatively be done using R language, I still prefer using PC-ORD for teaching ecology students multivariate statistics. PC-ORD is very user-friendly and offers, in one self-contained package, many powerful methods and a great toolbox (“Modify Data”) that ecology students really need and can quickly utilize in their research. An excellent feature is the textbook-like, built-in documentation explaining theoretical background in detail.
Comparison of PC-ORD and R
Principal Coordinates Analysis (PCoA)
Principal Coordinates Analysis is an eigenanalysis technique similar to PCA, except that one extracts eigenvectors from a distance matrix among sample units (rows), rather than from a correlation or covariance matrix. In PCoA one can use any square symmetrical distance matrix, including semi-metrics such as Sorensen distance, as well as metric distance measures such as Euclidean distance.
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