Hello dear R help list, I wish to compile a check-list for diagnostic measures for OLS regression.
My question: Can you offer more (or newer) tests/measures for the validity of a linear model then what is given here: http://www.statmethods.net/stats/rdiagnostics.html This resource gives a list of measures to test for: OUTLIERS, INFLUENTIAL OBSERVATIONS, NON-NORMALITY, NON-CONSTANT ERROR VARIANCE, MULTI-COLLINEARITY, NONLINEARITY, NON-INDEPENDENCE OF ERRORS and some global validation. I came across it after searching online for ways to validate a regression model. Although this is a great list, I am wondering if there is any newer methods that are overlooked, or important consideration to take into account that are not described in that page. Thanks, Tal ----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- [[alternative HTML version deleted]] ______________________________________________ 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.
