All,
I have a binary predictand and 27 predictors that are mostly binary (4
are continuous). I tried to put them in lm() but I get an error:
Error in lm.fit.qr(x, y): computed fit is singular, rank 26
I tried it again and got a different rank number. Before I go nuts and
look in every S book I have, can someone tell me if my approach is
flawed and, if so, what direction I should go? I tested lm() with my
continous data and it worked fine with 2 predictors and a continous
predictand. My goal is to forecast probabilities of an event happening.
W
******************************************************
Winifred C. Lambert, Senior Scientist/Meteorologist
ENSCO Inc.
Aerospace Sciences and Engineering Division
1980 N Atlantic Ave, Suite 230
Cocoa Beach, FL 32931
VOICE: 321.853.8130 FAX: 321.853.8415
lambert.winifred@ensco.com
AMU Quarterly Reports on the Web:
http://technology.ksc.nasa.gov/WWWaccess/AMU/home.html
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