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Hi, I have a problem with the df. I read in a big csv file. Tabelle <- read.csv("C:\\Users\\Public\\Documents\\Bachelorarbeit\\eingabe8_durchnummeriert.csv" , header = T , sep=";") then I try this: > ygamma <- glm(Tabelle$sb_ek_ber ~1+ Tabelle$FAHRL_C + Tabelle$NUTZKREIS + Tabelle$schw_drittel_c   , family = Gamma) >  anova(ygamma, test="Chisq") Analysis of Deviance Table Model: Gamma, link: inverse Response: Tabelle$sb_ek_ber Terms added sequentially (first to last)                        Df Deviance Resid. Df Resid. Dev  Pr(>Chi)     NULL...

Hi,  I have a problem with the output of my anova. > Tabelle2 <- data.frame(sb_ek_ber, JE, ABWHALT_C, ALLEINF, Alter_Ältester_inklVN_C, Alter_Jüngster_C_inkl_AlterNutz, ALTERKAU_C, Wuerfel, BEGKUNDE_C, Geoscore_C, GESCHL_VN, +  NUTZART, NUTZKREIS, NICHTK_C_korrigiert, TARIFDAT_C, TARIFGRP_C, WOHNEIGEN, WOHN_C, ZWEITFAHRZ, ZAHLWEISE, LASTSCHR)  str(Tabelle2) 'data.frame':   1237838 obs. of  21 variables:  $ sb_ek_ber                      : num  0 0 0 0 0 0 0 0 0 0 ...  $ JE                             : num  0.1972 0.2222 0.0972 0....