try the following: first cbind all the design vectors, data<-cbind(....) response<-x apply(data, 2, function(x) lm(response~x)$coef[2]) It should give you all the slope coef (not multivariate but with an intercept try lm(response~x-1)$coef if you do not want the intercept).
----- Original Message ----- From: "Martin Wegmann" <[EMAIL PROTECTED]> To: "R-list" <[EMAIL PROTECTED]> Sent: Friday, June 27, 2003 4:21 PM Subject: [R] regression for several responses > hello, > > I only want to get the slope of a linear regression of ca. 100 variables > against time. > > I can do for each response (100 times) > var1.lm <- lm(response~predictor) > > but I thought that there might be an easier way of doing this. If I am > including more variables it is doing a multiple regression and the output > (slope) differs. > > any idea? > > thanks Martin > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
