Hello
I am asking for help which I want to explain in the following example:
I have data of 100 firms for the period 2000-2008. the data includes profit and No of directors for every firm.
I want to estimate a model that takes the profit data of years 2001,2003,2005,2007 directors data of the years 2000,2002,2004,2006.
Which functions in SAS I have to read in order to proceed with it
Thanks a lot!!!!
Here is an example where I model Weight as a function of Age, only for odd ages and use the model to estimate the weight of students of even ages.
data regClass;
set sashelp.class;
/* Decide which ages to include in the model */
includedAge = mod(age,2);
/* Copy only included weights, other will be set to missing */
if includedAge then regWeight = weight;
run;
/* Estimate the model, output predictions for all observations */
proc reg data=regClass plots=none;
model regWeight = age;
output out=predClass p=predWeight;
run;
proc sort data=predClass; by age; run;
proc sgplot data=predClass;
scatter x=age y=weight / group=includedAge;
series x=age y=predWeight;
run;
of course, proc reg is only one of many procedures available to build predictive models, but most procs work about the same way.
Without knowing what the data looks like its hard to say, is there a variable for year, if so then just where clause that:
where year in (2001,2003,2005,2007);
For example. To get good answers, it a good idea to post test data, in the form of a datastep, and what the output should be. Posting the relevant code in this instance would also illustrate it.
Here is an example where I model Weight as a function of Age, only for odd ages and use the model to estimate the weight of students of even ages.
data regClass;
set sashelp.class;
/* Decide which ages to include in the model */
includedAge = mod(age,2);
/* Copy only included weights, other will be set to missing */
if includedAge then regWeight = weight;
run;
/* Estimate the model, output predictions for all observations */
proc reg data=regClass plots=none;
model regWeight = age;
output out=predClass p=predWeight;
run;
proc sort data=predClass; by age; run;
proc sgplot data=predClass;
scatter x=age y=weight / group=includedAge;
series x=age y=predWeight;
run;
of course, proc reg is only one of many procedures available to build predictive models, but most procs work about the same way.
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