[Limdep Nlogit List] Nlogit error 1085

[SADIA AFROZA]

Dear Professor Greene and Nlogit users,



I am new to Nlogit and trying to run a RPL model. I am getting the error 1085 for several variables. Have tried removing the variables stated but the same error appears with consecutive variables. I have crosschecked the data set and codes and the variable names are the same. The model was running fine with fewer variables and similar commands. Can you please suggest how to handle this error 1085?



The error messages are:

Error   1085: Unidentified name found in VEH_TYP1

Error   1085: Unidentified name found in NOTSTATDU(1)=B0

Error   1085: Unidentified name found in UNEMPLOYU(1)=B0

Error   1085: Unidentified name found in WKDAYU(1)=B0



My commands are:

SAMPLE;All$
NLOGIT
;Lhs=sev
;Choices=0,1,2,3
;Halton
;RPL
;Pts=10
;Fcn=
a1(n),a2(n),a3(n),a4(n),a5(n),a6(n),a7(n),a8(n),a9(n),b1(n),b2(n),b3(n),b4(n),b5(n),b6(n),b7(n),b8(n),b9(n),c1(n),c2(n),c3(n),
c4(n),c5(n),c6(n),c7(n),c8(n),c9(n),d1(n),d2(n),d3(n),d4(n),d5(n),d6(n),d7(n),d8(n),d9(n)
;Model:U(0)= a0+ a1*time1+ a2*time2+ a3*time4+ a4*time5+ a5*dca2+ a6* dca3+ a7*dca4+ a8dca5+ a9*dca6+ a10*pvmt1+ a11*pvmt3+ a12*pvmt4+ a13*pvmt5+
a14(n)*pvmt6+ a15*pvmt7+ a16*pvmt8+ a17*pvmt9+ a18*pvmt10+ a19*ped_gen+ a20*dri_gen2+ a21* dri_gen3+ a22* dri_gen4+ a23*ped_age1+ a24*ped_age2+
a25*ped_age4+ a26*ped_age5+ a27* ped_age6+ a28*dri_age1+ a29*dri_age2+ a30* dri_age3+ a31* dri_age5+ a32*season1+ a33*season2+ a34*season3+ a35*light2+
a36*light3+ a37*light4+ a38*light5+ a39*atmc2+ a40*atmc3+ a41*glare1+ a42*glare2+ a43*int_typ+ a44*spd1+ a45*spd2+ a46*spd4+ a47*spd5+ a48*surfc+
a49*paved_rd+ a50*trafc2+ a51*trafc3+ a52*trafc4+ a53*trafc5+ a54*crswk_l+ a55*lanenum1+ a56*lanenum3+ a57*lanenum4+ a58*lane_w+ a59*crswk_w2+
a60*crswk_w3+ a61*divrd1+ a62*divrd2+ a63*divrd4+ a64*divrd5+ a65* sidewk+ a66* parking+ a67*tramln+ a68*bikeln+ a69*busln+ a70*slipln+ a71*shops+
a72*refarea+ a73*curvd_rd+ a74*aadt1+ a75*aadt2+ a76*aadt4+ a77*aadt5+ a78*aadt6+ a79*veh_typ1+ a80*veh_typ2+ a81*veh_typ4+ a82*veh_typ5+ a83*landuse2+
a84*landuse3+ a85*landuse4+ a86*avg_inc+ a87*avg_age+ a88*indig+ a89*gen_rat+ a90*by_train+ a91*by_bus+ a92*by_car+ a93*by_mc+ a94*by_bike+ a95*by_walk+
a96*by_multi+ a97*other+ a98*notstatd+ a99*unemploy+ a100*wkday

U(1)= b0+ b1*time1+ b2*time2+ b3*time4+ b4*time5+ b5*dca2+ b6* dca3+ b7*dca4+ b8dca5+ b9*dca6+ b10*pvmt1+ b11*pvmt3+ b12*pvmt4+ b13*pvmt5+ b14(n)*pvmt6+
b15*pvmt7+ b16*pvmt8+ b17*pvmt9+ b18*pvmt10+ b19*ped_gen+ b20*dri_gen2+ b21* dri_gen3+ b22* dri_gen4+ b23*ped_age1+ b24*ped_age2+ b25*ped_age4+
b26*ped_age5+ b27* ped_age6+ b28*dri_age1+ b29*dri_age2+ b30* dri_age3+ b31* dri_age5+ b32*season1+ b33*season2+ b34*season3+ b35*light2+ b36*light3+
b37*light4+ b38*light5+ b39*atmc2+ b40*atmc3+ b41*glare1+ b42*glare2+ b43*int_typ+ b44*spd1+ b45*spd2+ b46*spd4+ b47*spd5+ b48*surfc+ b49*paved_rd+
b50*trafc2+ b51*trafc3+ b52*trafc4+ b53*trafc5+ b54*crswk_l+ b55*lanenum1+ b56*lanenum3+ b57*lanenum4+ b58*lane_w+ b59*crswk_w2+ b60*crswk_w3+ b61*divrd1+
b62*divrd2+ b63*divrd4+ b64*divrd5+ b65* sidewk+ b66* parking+ b67*tramln+ b68*bikeln+ b69*busln+ b70*slipln+ b71*shops+ b72*refarea+ b73*curvd_rd+
b74*aadt1+ b75*aadt2+ b76*aadt4+ b77*aadt5+ b78*aadt6+ b79*veh_typ1+ b80*veh_typ2+ b81*veh_typ4+ b82*veh_typ5+ b83*landuse2+ b84*landuse3+ b85*landuse4+
b86*avg_inc+ b87*avg_age+ b88*indig+ b89*gen_rat+ b90*by_train+ b91*by_bus+ b92*by_car+ b93*by_mc+ b94*by_bike+ b95*by_walk+ b96*by_multi+ b97*other+
b98*notstatd+ b99*unemploy+ b100*wkday

U(2)= c0+ c1*time1+ c2*time2+ c3*time4+ c4*time5+ c5*dca2+ c6* dca3+ c7*dca4+ c8dca5+ c9*dca6+ c10*pvmt1+ c11*pvmt3+ c12*pvmt4+ c13*pvmt5+
c14(n)*pvmt6+ c15*pvmt7+ c16*pvmt8+ c17*pvmt9+ c18*pvmt10+ c19*ped_gen+ c20*dri_gen2+ c21* dri_gen3+ c22* dri_gen4+ c23*ped_age1+ c24*ped_age2+
c25*ped_age4+ c26*ped_age5+ c27* ped_age6+ c28*dri_age1+ c29*dri_age2+ c30* dri_age3+ c31* dri_age5+ c32*season1+ c33*season2+ c34*season3+
c35*light2+ c36*light3+ c37*light4+ c38*light5+ c39*atmc2+ c40*atmc3+ c41*glare1+ c42*glare2+ c43*int_typ+ c44*spd1+ c45*spd2+ c46*spd4+ c47*spd5+
c48*surfc+ c49*paved_rd+ c50*trafc2+ c51*trafc3+ c52*trafc4+ c53*trafc5+ c54*crswk_l+ c55*lanenum1+ c56*lanenum3+ c57*lanenum4+ c58*lane_w+
c59*crswk_w2+ c60*crswk_w3+ c61*divrd1+ c62*divrd2+ c63*divrd4+ c64*divrd5+ c65* sidewk+ c66* parking+ c67*tramln+ c68*bikeln+ c69*busln+ c70*slipln+
c71*shops+ c72*refarea+ c73*curvd_rd+ c74*aadt1+ c75*aadt2+ c76*aadt4+ c77*aadt5+ c78*aadt6+ c79*veh_typ1+ c80*veh_typ2+ c81*veh_typ4+ c82*veh_typ5+
c83*landuse2+ c84*landuse3+ c85*landuse4+ c86*avg_inc+ c87*avg_age+ c88*indig+ c89*gen_rat+ c90*by_train+ c91*by_bus+ c92*by_car+ c93*by_mc+
c94*by_bike+ c95*by_walk+ c96*by_multi+ c97*other+ c98*notstatd+ c99*unemploy+ c100*wkday

U(3)= d1*time1+ d2*time2+ d3*time4+ d4*time5+ d5*dca2+ d6* dca3+ d7*dca4+ d8dca5+ d9*dca6+ d10*pvmt1+ d11*pvmt3+ d12*pvmt4+ d13*pvmt5+ d14(n)*pvmt6+
d15*pvmt7+ d16*pvmt8+ d17*pvmt9+ d18*pvmt10+ d19*ped_gen+ d20*dri_gen2+ d21* dri_gen3+ d22* dri_gen4+ d23*ped_age1+ d24*ped_age2+ d25*ped_age4+
d26*ped_age5+ d27* ped_age6+ d28*dri_age1+ d29*dri_age2+ d30* dri_age3+ d31* dri_age5+ d32*season1+ d33*season2+ d34*season3+ d35*light2+ d36*light3+
d37*light4+ d38*light5+ d39*atmc2+ d40*atmc3+ d41*glare1+ d42*glare2+ d43*int_typ+ d44*spd1+ d45*spd2+ d46*spd4+ d47*spd5+ d48*surfc+ d49*paved_rd+
d50*trafc2+ d51*trafc3+ d52*trafc4+ d53*trafc5+  d54*lanenum1+ d55*lanenum3+ d56*lanenum4+ d57*lane_w+ d58*crswk_w2+ d59*crswk_w3+ d60*divrd1+
d61*divrd2+ d62*divrd4+ d63*divrd5+ d64* sidewk+ d65* parking+ d66*tramln+ d67*bikeln+ d68*busln+ d69*slipln+ d70*shops+ d71*refarea+ d72*curvd_rd+
d73*aadt1+ d74*aadt2+ d75*aadt4+ d76*aadt5+ d77*aadt6+ d78*veh_typ1+ d79*veh_typ2+ d80*veh_typ4+ d81*veh_typ5+ d82*landuse2+ d83*landuse3+
d84*landuse4+ d85*wkday$






Thanks and Regards

Sadia