When a regression is calculated with a simple linear model that returns intercept and slope for an equation like this y=a + bx one can predict y (the response variable) based on that equation. Equally one could rearrange for x; x={y-a}/b and calculate the value of x. This isn't available in R's predict() function but can easily be done. Can one do this calculation and still be statistically sound?