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Implementation of equation 12 in the paper.
RegSDCnew(y, yNew, x = NULL, doSVD = FALSE, ensureIntercept = TRUE)
Generated version of y
Matrix of confidential variables
Matrix of y-data for new scores
Matrix of non-confidential variables
SVD when TRUE and QR when FALSE
Whether to ensure/include a constant term. Non-NULL x is subjected to EnsureIntercept
EnsureIntercept
Øyvind Langsrud
doSVD has effect on decomposition of y and yNew. Input matrices are subjected to EnsureMatrix.
EnsureMatrix
x <- matrix(1:5, 5, 1) y <- matrix(rnorm(15) + 1:15, 5, 3) # Same as IPSO (RegSDCipso) RegSDCnew(y, matrix(rnorm(15), 5, 3), x) # Close to y RegSDCnew(y, y + 0.001 * matrix(rnorm(15), 5, 3), x)
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