Hi, i have used Proc GLM to develop a model on modelling data set .
Now i want to use the model (or model equation) to score the observations in a new data set, along with calculating the uncertainty for each observation (i.e. 95 % confidence values Lower and Higher for each observation in the new data set).
But in my version of SAS (i believe it is 8.0), i dont have proc plm to use. Also can i use proc score to get the above mentioned values ??
Please help me out
Thanks
There is an interesting work-around. Append the new data set to the old, but replace all of the response variable values in the new data set with missings " . " before appending.
The fit will use only the original data, but the output data set (you'll need an OUTPUT statement that looks something like:
OUTPUT OUT=predset p lcl ucl;
This should give predicted values for all records with complete data for the independent variables, as well as confidence bounds.
Steve Denham
Message was edited by: Steve Denham
There is an interesting work-around. Append the new data set to the old, but replace all of the response variable values in the new data set with missings " . " before appending.
The fit will use only the original data, but the output data set (you'll need an OUTPUT statement that looks something like:
OUTPUT OUT=predset p lcl ucl;
This should give predicted values for all records with complete data for the independent variables, as well as confidence bounds.
Steve Denham
Message was edited by: Steve Denham
Thanks a lot Steve, Interestingly i figured this very way out by myself before reading your reply.......
Still, thanks a lot for the reply, nd yeah this is an interesting workaround
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