Hi, 
this is my code:
model<-glm(Risk ~ Status + Duration + Credit_History + Credit_amount + Savings +                                                                      
   Employment + Inst_rate + Residence + Property + Age + plans +                                                                                      
    Housing + Credits + Job + Liable + Telephone + Foreign_worker +                                                                                   
    Purpose_A40 + Purpose_A41 + Purpose_A42 + Purpose_A43 +                                                                                           
    Purpose_A44 + Purpose_A45 + Purpose_A46 + Purpose_A48 + Purpose_A49 +                                                                             
    P_Status_A91 + P_Status_A92 + P_Status_A93 + P_Status_A94 +                                                                                       
    Others_A101 + Others_A102 + Others_A103,data=Training_Set, family=binomial(logit))                                                                
                                                                                                                                                      
########################### Plotting the ROC curve ###########################                                                                        
                                                                                                                    
ROC<-roc.plot(model$fitted.values,Training_Set["Risk"],show.thres=FALSE,main="My ROC Plot",xlab="1-specifity",ylab="sensitivity")                     

the glm works fine, but I need to do further analysis on it (roc.plot etc.), so I wrote  the last line (from above), and got this error: 
"Error: subscript out of bounds"
The original dataset is 800 by 34, and the glm was conducted on a training set of the 600 first rows.
Can someone help?
--------------------- 
Have a wonderful day. 
David Einhorn, Israel. 
972+525058538 
einhorn01@gmail.com

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