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Alex Rivera
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I have this data set: x <- c(0, 40, 80, 120, 160, 200) y <- c(6.52, 5.10, 4.43, 3.99, 3.75, 3.60) I calculated a linear model using lm() : model <- lm(y ~ x) I want know the predicted values of x if I have new y values, e.g. ynew <- c(5.5, 4.5, 3.5) , but if I use the predict() function, it calculates only new y values. How can I predict new x values if I have new y values?
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