This one iterates Logistic Regression Model and provide range of model options.
 Final model is based of following options ( user cut-off ):
		- VIF
		- Sign of beta
		- P-Value
		- No. of variables

 Along with model it provides following metrics:
 	- KS
 	- Concordant, Discordant, Pairs, Somers D
 	- AUC/C-Stat/Area under curve
 	- Correlation with bad and model variable

 Create WOE variables for numeric and character variables with following options 
 	- Raw WOE binning 	
 	- Monotonic WOE binning	
 	- Provide SAS code to generate Monotonic WOE binning variables 

 https://github.com/amitmse/in_SAS_/blob/master/Woe_calculation_Macro.sas
 Weight of Evidence Calculation

 Compute Information value and Weight of Evidence variables with following options
 	- Information value
 	- Raw WOE binning 	
 	- Monotonic WOE binning	
 	- Provide SAS code to generate Monotonic WOE binning variables 

 https://github.com/amitmse/in_SAS_/blob/master/Raw_Information_Value.sas

 Compute Information value

 	https://github.com/amitmse/in_SAS_/blob/master/Raw_information_value_LP.sas

 	https://github.com/amitmse/in_SAS_/blob/master/Information_value_with_Weight.sas

 Provides basic distribution of data i.e., count, missing, unique, sum, mean, STD, percentile

 	https://github.com/amitmse/in_SAS_/blob/master/Create%20Historical%20and%20Performance%20Variables.sas

 	https://github.com/amitmse/in_SAS_/blob/master/Merge.xlsx

 	https://github.com/amitmse/in_SAS_/blob/master/Hash%20Merge.sas

 	https://support.sas.com/resources/papers/proceedings/proceedings/sugi26/p103-26.pdf

 Compute KS and GII

 	https://github.com/amitmse/in_SAS_/blob/master/KS_Macro_with_Weight.sas

 	https://github.com/amitmse/in_SAS_/blob/master/Lift_Table%20-%20Transreg.sas

 	https://github.com/amitmse/in_SAS_/blob/master/GINI.sas

 	https://github.com/amitmse/in_SAS_/blob/master/GINI.xlsx

 Compute Marginal KS to check contribution of a variable in a model.      

  Characteristic Analysis of model variable

 	https://github.com/amitmse/in_SAS_/blob/master/Characteristic_Analysis_Macro_LP.sas

 Cluster Analysis for variable selection   

	Decision Tree for segmentation

Vintage Analysis to identify performance period 

- Scale score using Point to Double the Odds method.
	
	https://github.com/amitmse/in_SAS_/blob/master/Point%20Score%20by%20PDO%20Method.xlsx

	https://github.com/amitmse/in_SAS_/blob/master/PDO%20Score.xlsx

	https://github.com/amitmse/in_SAS_/blob/master/PDO.sas

	https://github.com/amitmse/in_SAS_/blob/master/PDO_Calculation.sas

	https://github.com/amitmse/in_SAS_/blob/master/Scale_Score_by_PDO.sas