The Normal Scores transformation creates a new dataset in which the values of each numeric variable in the current dataset are converted into normal scores. Ordinal and category variables are not included in the new dataset. 

Normal scores are the normalized z-scores that would be obtained under the assumption that the variable is normally distributed, given the variable's mean and standard deviation.
