output parameters = effect betaopts = wl standarderrors = robust profile probmeans = posterior estimatedvalues = model; variables dependent paprecat nominal, madeg nominal, padeg nominal, inc_1000 continuous; independent education nominal, cohort_ nominal; latent Clusterstatus nominal 3; equations clusterstatus <‐(a1)1; paprecat <‐ (k1)1 + (k2)clusterstatus; madeg <‐ (k3)1 + (k4)clusterstatus; padeg <‐ (k5)1 + (k6)clusterstatus; inc_1000 <‐ 1 + clusterstatus; inc_1000; a1 k1 k2 k3 k4 k5 k6 ={<<fixed values>>}