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 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
