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Asked: 2026-05-23T15:59:52+00:00

In most applications (esp. statistical ones) the thin SVD suffices. However, on occasion one

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In most applications (esp. statistical ones) the thin SVD suffices. However, on occasion one needs the full SVD in order to obtain an orthobasis of the null space of a matrix (and its conjugate). It seems that svd() in R only returns the thin version. Is it possible to produce the full version? Are there alternatives?

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1 Answer

  1. Editorial Team
    library(sos)
> findFn("svd NULL space")
found 47 matches;  retrieving 3 pages

    This looks on point:

    MSBVAR null.space Find the null space of a matrix

    As does this function in MASS.

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