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How do a plot several columns of a matrix at once in a single plot versus a single x-variable? The default plot.matrix or plot.dataframe commands plot each column versus each other column in several sub-plots. I want to plot each column versus a single other vector (x) as several lines or points in one plot. I can do it by hand: get the range of all variables (i.e. columns of the matrix or

...<- var.names schaetz <- predict(x.lm, as.data.frame(extremum), interval="confidence", level =conf.level) result <- list(prognose=schaetz[1], conf.interval=schaetz[-1], conf.level=conf .level) # Graphen zeichnen old.pty <- par()$pty par(pty="s", ask=T) if (singleplot) layout(matrix(1:4,ncol=2)) for (i in 3:1) { x <- seq(from=ranges[-i,][1,1], to=ranges[-i,][1,2], length=n) y <- seq(from=ranges[-i,][2,1], to=ranges[-i,][2,2], length=n) pred.dat <- matrix(NA, ncol=3, nrow=n^2) pred.dat[,i] <- rep(as.numeric(extremum[var.names[i]]),n^...