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svd.triplet

Singular Value Decomposition of a Matrix

Compute the singular-value decomposition of a rectangular matrix with weights for rows and columns.

svd.triplet(X, row.w=NULL, col.w=NULL, ncp=Inf)

`X`	a data matrix
`row.w`	vector with the weights of each row (NULL by default and the weights are uniform)
`col.w`	vector with the weights of each column (NULL by default and the weights are uniform)
`ncp`	the number of components kept for the outputs

`vs`	a vector containing the singular values of 'x';
`u`	a matrix whose columns contain the left singular vectors of 'x';
`v`	a matrix whose columns contain the right singular vectors of 'x'.