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...more problematic. I understand the error message but I don't know if it is possible to correct the error and if yes, how to correct it. Many thanks. n <- 60 b <- runif(n, 0, 5) a <- runif(n, 0, 5) z <- rnorm(n*0.95,2,3) + rnorm(n*0.05,2,9) y_model <- 0.1 * b - 0.5 * z - a + 10 y_obs <- y_model +c( rnorm(n*0.95, 0, 0.1), rnorm(n*0.05, 0, 0.5) ) df<-data.frame(b,a,z,y_obs)

...e but I don't know if it is possible to correct the error and if yes, how to correct it. > > Many thanks. > > > n <- 60 > b <- runif(n, 0, 5) > a <- runif(n, 0, 5) > z <- rnorm(n*0.95,2,3) + rnorm(n*0.05,2,9) > y_model <- 0.1 * b - 0.5 * z - a + 10 > y_obs <- y_model +c( rnorm(n*0.95, 0, 0.1), rnorm(n*0.05, 0, 0.5) ) > df<-data.frame(b,a,z,y_obs) > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do r...

Dear R users, I am trying to apply SVM regression for a set of microarray data. I am using the function svm() under the package {e1071}. Can anyone tell me what the *residuals *value represents? I have some observed values *y_obs* for the parameter that I want to estimate and I would expect that *svm$residuals = y_obs - svm$fitted. *However, this does not happen...Does anyone have any idea on that? Thanks a lot! Eleni C.* * [[alternative HTML version deleted]]