softImpute
uses shrinkage when completing a matrix with
missing values. This function debiases the singular values using
ordinary least squares.
1  deBias(x, svdObject)

x 
matrix with missing entries, or a matrix of class 
svdObject 
an SVD object, the output of 
Treating the "d"
values as parameters, this function recomputes
them by linear regression.
An svd object is returned, with components "u", "d", and "v".
Trevor Hastie
Maintainer: Trevor Hastie hastie@stanford.edu
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