The SCORE statement applies the contents of the source item store to compute predicted values and other observationwise statistics for a SAS data set.
You can specify the following syntax elements in the SCORE statement before the option slash (/):
Table 75.9: Keywords for Output Statistics
Keyword 
Description 
Expression 
Name 

PREDICTED 
Linear predictor 

Predicted 
STDERR 
Standard deviation of linear predictor 

StdErr 
RESIDUAL 
Residual 

Resid 
LCLM 
Lower confidence limit for the linear predictor 
LCLM 

UCLM 
Upper confidence limit for the linear predictor 
UCLM 

LCL 
Lower prediction limit for the linear predictor 
LCL 

UCL 
Upper prediction limit for the linear predictor 
UCL 

PZERO 
zeroinflation probability for zeroinflated models 

PZERO 
Prediction limits (LCL, UCL) are available only for statistical models that allow such limits, typically regressiontype models for normally distributed data with an identity link function. Zeroinflation probability (PZERO) is available only for zeroinflated models. For details on how PROC PLM computes statistics for zeroinflated models, see Scoring Data Sets for ZeroInflated Models.
You can specify the following options in the SCORE statement after a slash (/):