Machine Learning, Data Science, Deep Learning, TensorFlow, Towards Data Science.
with the largest values. # Standard approach to linear regression fit <- lm(y ~ x1 + x2 + x3 + ... + x9, data=df) # Linear regression with a log-log transformation fit <- nls( log10(y) ~ log(x1*b1 + x2*b2 + ... + x9*b9), data = df, start = list(b1=1, b2=1, ... , b9 = 1)) You can actually do this