| Date: | Wed, 22 Nov 2006 12:04:14 -0500 |
|---|
| Reply-To: | Peter Flom <Flom@NDRI.ORG> |
|---|
| Sender: | "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU> |
|---|
| From: | Peter Flom <Flom@NDRI.ORG> |
|---|
| Subject: | Re: Proc reg test not consistent |
|---|
|
| In-Reply-To: | <1164161146.435494.218810@h48g2000cwc.googlegroups.com> |
|---|
| Content-Type: | text/plain; charset=US-ASCII |
|---|
>>> BruceBrad <BruceBrad@INAME.COM> 11/21/2006 9:05:46 pm >>> wrote
<<<<
I have the following code. I want to test for the significance of the
different transforms of income as a group.
data test;
set input.desc1;
income2 = income*income;
incomelog = log(income+1);
run;
proc reg;
model alrndom = income income2 incomelog /corrb collin;
test income, income2, incomelog;
quit;run;
I get an error message:
ERROR: The TEST is not consistent or has redundant column.
What's going on here? There doesn't seem to be undue collinearity as
far as I can see. The incomelog variable is not significant, and is
thus correlated with the intercept, but not extremely so.
The regression output is below.
>>>
snip
I am not sure exactly what is going on, as I don't often use the TEST
statement. However, have you tried centering or possibly standardizing
the income variable before transforming it?
I have often found this helpful with similar problems
HTH and Happy Thanksgiving
Peter
| 
