Multivariate Normal Imputation (Not available if you entered a Numeric column with a Nominal or Ordinal modeling type in the launch window.)
Multivariate SVD Imputation (Not available if you entered a Numeric column with a Nominal or Ordinal modeling type in the launch window.)
Click Undo to undo the imputation and replace the imputed data with missing values.
The singular value decomposition represents a matrix of observations X as X = UDV‘, where U and V are orthogonal matrices and D is a diagonal matrix.
The SVD algorithm used by default in the Multivariate SVD Imputation utility is the sparse Lanczos method, also known as the implicitly restarted Lanczos bidiagonalization method (IRLBA). See Baglama and Reichel (2005). The algorithm does the following:
Click Undo to undo the imputation and replace the imputed data with missing values.

Help created on 9/19/2017