Please see ?dput use dput(your data) and paste the output into a reply, thanks.
This way we know what you are working with. Rich Shepard wrote: > > I would appreciate pointers on what I should read to understand this > output: > > summary(lm(TDS ~ Cond + Ca + Cl + Mg + Na + SO4)) > > Call: > lm(formula = TDS ~ Cond + Ca + Cl + Mg + Na + SO4) > > Residuals: > ALL 1 residuals are 0: no residual degrees of freedom! > > Coefficients: (6 not defined because of singularities) > Estimate Std. Error t value Pr(>|t|) > (Intercept) 125 NA NA NA > Cond NA NA NA NA > Ca NA NA NA NA > Cl NA NA NA NA > Mg NA NA NA NA > Na NA NA NA NA > SO4 NA NA NA NA > > Residual standard error: NaN on 0 degrees of freedom > (63 observations deleted due to missingness) > > When I look at the summary for the data frame used for this model I do > not > see an excessive number of missing values or indications why there are no > residual degrees of freedom. The same model applied to 8 other data frames > did not produce similar results. > > Puzzled, > > Rich > > ______________________________________________ > R-help@ 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. > -- View this message in context: http://r.789695.n4.nabble.com/Interpreting-Multiple-Linear-Regression-Summary-tp4020516p4020567.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.