r - Aliased coefficients in the model using vif on linear model -


    coefficients: (4 not defined because of singularities)                                                estimate std. error t value pr(>|t|)         (intercept)                               3.507e+01  1.419e+01   2.471         0.013521 *       max..cpc                                 -1.201e+00  1.336e-01  -8.987  < 2e-16 ***     impressions                               8.906e-02  5.536e-02   1.609 0.107783         interactions                              6.071e-01  5.889e-01   1.031 0.302700         interaction.rate                          1.575e-02  6.147e-02   0.256 0.797735         avg..cost                                 2.507e-01  1.429e-01   1.754 0.079491 .       cost                                     -3.801e-02  2.547e-02  -1.492 0.135775         quality.score                             2.264e-02  1.955e-01   0.116 0.907840         first.page.cpc                           -4.173e-02  5.023e-02  -0.831 0.406168         top.of.page.cpc                           2.588e-02  3.097e-02   0.836 0.403502         first.position.cpc                        2.703e-02  1.639e-02   1.649 0.099230 .       clicks                                           na         na      na       na         ctr                                              na         na      na       na         avg..cpc                                         na         na      na       na         avg..cpm                                 -4.481e-04  5.211e-04  -0.860 0.389896         avg..position                            -4.421e-01  3.279e-01  -1.348 0.177765         conversions                              -2.106e+04  6.960e+04  -0.303 0.762260         cost...conv.                             -1.141e+03  3.799e+03  -0.300 0.763920         conv..rate                                7.093e+01  2.743e+01   2.586 0.009755 **      all.conv.                                -1.614e+01  1.452e+01  -1.111 0.266664         cost...all.conv.                         -1.033e+00  1.280e+00  -0.806 0.420088         all.conv..rate                            2.654e-01  4.963e-01   0.535 0.592841         cross.device.conv.                               na         na      na       na     

i getting aliased coefficient error when running vif on model.there 4 variables showing me nas though datatype either int or dbl.also please note have not created dummies of these 4 variables.i converted them numeric incase had "%" or "," in values chr dbl.how should fix aliased coefficient error problem in scenario because not able carry out further steps.please suggest.


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