> varTable(final.fit)
name idx nobs type exo user mean var nlev lnam
1 web2 43 85920 numeric 0 0 0.899 0.091 0
2 web3 44 85920 numeric 0 0 0.038 0.037 0
3 web4 45 85920 numeric 0 0 0.006 0.006 0
4 web5 46 85920 numeric 0 0 0.045 0.043 0
5 DELIVER 47 85920 numeric 0 0 3.095 21.665 0
6 phone2 18 85920 numeric 0 0 0.736 0.194 0
7 phone3 19 85920 numeric 0 0 0.052 0.050 0
8 phone4 20 85920 numeric 0 0 0.011 0.011 0
9 phone5 21 85920 numeric 0 0 0.178 0.146 0
10 CarsPerDri 8 85920 numeric 0 0 1.125 0.345 0
11 PTUSE 48 85920 numeric 0 0 1.199 25.921 0
12RIDESHARE 39 85920 numeric 0 0 0.702 9.678 0
13 msa_pt 51 85920 numeric 1 0 0.039 0.004 0
14 HHSIZE 40 85920 numeric 1 0 2.163 1.407 0
15 income2 11 85920 numeric 1 0 0.044 0.042 0
16 income3 12 85920 numeric 1 0 0.126 0.110 0
17 income4 13 85920 numeric 1 0 0.317 0.216 0
18 income5 14 85920 numeric 1 0 0.234 0.179 0
19 income6 15 85920 numeric 1 0 0.069 0.065 0
20 homeown2 5 85920 numeric 1 0 0.254 0.189 0
21 homeown3 6 85920 numeric 1 0 0.007 0.006 0
22 educ2 36 85920 numeric 1 0 0.022 0.021 0
23 educ3 37 85920 numeric 1 0 0.134 0.116 0
24 educ4 38 85920 numeric 1 0 0.556 0.247 0
25 Age2 30 85920 numeric 1 0 0.022 0.021 0
26 Age3 31 85920 numeric 1 0 0.121 0.107 0
27 Age4 32 85920 numeric 1 0 0.235 0.180 0
28 Age5 33 85920 numeric 1 0 0.317 0.216 0
29 Race2 25 85920 numeric 1 0 0.082 0.076 0
30 Race3 26 85920 numeric 1 0 0.043 0.042 0
31 Race4 27 85920 numeric 1 0 0.111 0.099 0
32 CIMean:YearsMean 54 85920 numeric 1 0 6.368 2538.760 0
33 YearsMean 53 85920 numeric 1 0 -0.041 3.726 0
34 CIMean 50 85920 numeric 1 0 0.000 557.780 0