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Hi, do you guys know what function in R handles the multiple regression on categorical predictor data. i.e, 'lm' is used to handle continuous predictor data. thanks, karena -- View this message in context: http://r.789695.n4.nabble.com/regression-function-for-categorical-predictor-data-tp2532045p2532045.html Sent from the R help mailing list archive at Nabble.com.

Hi, I have a problem with a regression I try to run. I did an estimation of the market model with daily data. You can see to output below: /> summary(regression_resn) Time series regression with "ts" data: Start = -150, End = -26 Call: dynlm(formula = ror_resn ~ ror_spi_resn) Residuals: Min 1Q Median 3Q Max -0.0255690 -0.0030378 0.0002787

Dear all, When I debugged the execution performance of an application using strace, I found there are some system calls like open and stat64 which run faster on XenLinux than the standard Linux. The following is the output of running "strace -c /bin/sh -c /bin/echo foo" on both systems. An open call runs averagely 109 usec on standard Linux but only 41 usecs on XenLinux. An stat64