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2011 Oct 27
0
regression in R
...mmary 3. par(mfrow=c(2,2)) + plot(outp) Model Graphs 4. vif(outp) MultiCollinearity 5. gvlma(outp) Heteroscedasticity using GVLMA package 6. outlierTest (outp) for Outliers 7. predicted(outp) Scoring dataset with scores 8. anova(outp) 9. > predict(lm.result,data.frame(conc = newconc), level = 0.9, interval = “confidence”) For a Reference Card -Cheat Sheet see http://cran.r-project.org/doc/contrib/Ricci-refcard-regression.pdf 3) Also read- http://cran.r-project.org/web/views/Econometrics.html from the blog post at- http://www.decisionstats.com/building-a-regression-m...