Hi, I have a simple question but I just couldn't find the right way to do it after 3 hours of hacking and google. How do I fit a weighted polynomial regression model to my plot? This is what I got so far:
lines(loess(A~B + I(B^2),weights=1/B^2))
Error in xy.coords(x, y) : 'x' and 'y' lengths differ In addition: Warning messages: 1: pseudoinverse used at 0.52416 0.029047 2: neighborhood radius 3.8766 3: reciprocal condition number 4.3293e-017 4: There are other near singularities as well. 19.538
Any idea would be appreciated. Thanks, cruz