Absolute Free A00-225 Exam Practice for Comprehensive Preparation 

The COLLIN statement to produce collinearity diagnostics

The SELECTION=SCORE option to perform variable selection based on score statistics

The VIF option in the MODEL statement to obtain variance inflation factors

The OUTEST= option to export the estimation results to a dataset

date_var = INPUT(char_date, yymmdd10.);

date_var = INPUT(char_date, date9.);

date_var = INPUT(char_date, yymmddd10.);

date_var = INPUT(char_date, ddmmyy10.);

NEST=100

NTREE=100

TREES=100

NTREES=100

Use a normal distribution with an identity link function and adjust the model for overdispersion.

Use a Poisson distribution with a log link function, and apply a scale parameter to adjust for overdispersion.

Use a negative binomial distribution with a log link function.

Use a Poisson distribution with a square root link function and adjust the model for overdispersion.

SCORE DATA=validation OUT=scored_results OUTROC=roc_curve;

PROC LOGISTIC DATA=training; SCORE OUTROC=roc_curve; RUN;

PROC LOGISTIC DATA=training; SCORE DATA=validation OUTROC=roc_curve; RUN;

SCORE DATA=validation OUT=scored_results; MODEL OUTROC=roc_curve;