Thanks so much for your reply. While I have learnt that since the scorecard is logistic regression, so will the WOE curve must follow the monotonic trend? or it can presents the U shape according to the business expertise? ... View more

Thanks so much for your reply, you mean the number is based on my own decision and there is no specific number required. I am just wondering whether there are specific percentage of missing values existing in one observation that should be considered to delete? or still based on our own decisions? Since everyone has different choice, will this affect the data performance? ... View more

thanks so much for your reply, you help me a lot ! while I am still wondering is there any methods that I can assess the latent factors relationships? really really appreciate! ... View more

Thanks so much for your reply, I can see the different importance regarding distinct variables. While for my purpose, I want to identify the latent gators and assess their relationship, so I do not know how to complete this work in PLS. By the way, there seems no operation with factor analysis in sas enterprise miner?   really appreciate! ... View more

Thanks so much for your reply. I can understand the difference between the PLS and PCA, while as you said, from the PLS results, so the variable importance for projection is where I can find the variables that are predictive to the target variable?(above the threshold)? and is there any other thing that I can conclude from the PLS result? thanks again! ... View more

Thanks so much for your reply，you give me so much insights. while I am confused about the concept of the latent variables, should we identify them ourselves, or I just choose the partial least squares to finish identifying? And what is the difference between the PLQ and exploratory factor analysis? I am really appreciate  your patience. ... View more

Thanks so much for your reply, Yes, I mean , what mathematical or statistical procedure to run to compute latent factors in sas enterprise Miner. since PCA is used to reduce dimension of the variables, which I want to use in the later predictive models builds, So I still can use the PCA here for latent factors analysis? ... View more

Thanks a lot for your reply. MODEL Churn=household_income / SELECTION=NONE LINK=LOGIT This is the new code, while it can not work. I can not find the reason.  ... View more

Thanks for your reply. Yes, I used the automatic function of SAS enterprise guide, the task----regression---logistic regression, than select the dependent variable and independent variable. while the result for three x is all the same. ... View more

PROC SQL; CREATE VIEW WORK.SORTTempTableSorted AS SELECT * FROM WORK.QUERY_FOR_TELCODATA_EXTRACT_0002 ; QUIT; TITLE; TITLE1 "Logistic Regression Results"; FOOTNOTE; FOOTNOTE1 "Generated by the SAS System (&_SASSERVERNAME, &SYSSCPL) on %TRIM(%QSYSFUNC(DATE(), NLDATE20.)) at %TRIM(%SYSFUNC(TIME(), TIMEAMPM12.))"; PROC LOGISTIC DATA=WORK.SORTTempTableSorted PLOTS(ONLY)=NONE ; MODEL churn (Event = '0')= / SELECTION=NONE INFLUENCE LINK=LOGIT ; OUTPUT OUT=BIGDATA.PREDLOGREGPREDICTIONS(LABEL="Logistic regression predictions and statistics for WORK.QUERY_FOR_TELCODATA_EXTRACT_0002") PREDPROBS=INDIVIDUAL UPPER=upper_churn LOWER=lower_churn ; RUN; QUIT; /* ------------------------------------------------------------------- End of task code ------------------------------------------------------------------- */ RUN; QUIT; %_eg_conditional_dropds(WORK.SORTTempTableSorted); TITLE; FOOTNOTE; ODS GRAPHICS OFF;           and the target variable is churn. the value is 0,1. For the explanatory variables, they are income(just the normal money),and other charges.But the separate logistic regression for these three, Analysis of Maximum Likelihood for estimate. standard error and chi are the same. I do not know where goes wrong. ... View more