New Post: Least Square Regression

How do I do this in r.net?
mydata <- read.csv('GoodCarbsDesign.csv', header = TRUE)
fit <- lm(rate ~ +e1+e2+e3+e4+e5+e6+e7+e8+e9+e10+e11+e12+e13+e14+e15+e16+e17+e18+e19+e20+e21+e22+e23+e24+e25+e26+e27+e28+e29+e30+e31+e32+e33+e34+e35+e36, data=mydata) coefficients(fit)

Or if I can load sql table data instead of loading the csv