Calculate 3D covariance matrix using unscaled congruence coefficient. Skips any missing values in computation of covariance matrix
1  dotcvm(A)

A 
An N x 3 x M array where N is the number of landmarks, 3 is the number of dimensions, and M is the number of specimens. 
This function does not guarantee that the returned matrix is
positive definite. If the covariance matrix is not positive definite
a warning is given and the matrix can be bent to create the closest
positive definite matrix with as.matrix(Matrix::nearPD(mat)$mat)
.
N x N covariance matrix
1 2 
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