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I'd like to constrain my first class to follow a linear trajectory, while allowing class 2 & 3 to have a cubic trajectory. What is the syntax for this? Right now I have: Analysis: type = mixture ; Model: %overall% i s q cu  t1@0 t2@1 t3@2 t4@3 t5@4; c ON x1 x2 x3; Thank you for your help. 


Model: %overall% i s q cu  t1@0 t2@,1 t3@,2 t4@,3 t5@,4; c ON x1 x2 x3; %c#1% [q@0 cu@0]; q@0 cu@0 I would also divide the time scores by 10 as shown above because the cubic scores may get large. 


In order to use the extra lines you listed, I need to add 'algorithm=integration' to the analysis step. When I do this, I receive a "memory" error. Is there a way to do this without numerical integration? Or do you have any recommendations for solving the memory error? Thank you. 


Numerical integration is required for this analysis if the outcome is categorical. You can try adding INTEGRATION=7; to the ANALYSIS command. 


"I would also divide the time scores by 10 as shown above because the cubic scores may get large." Would you mind explaining the reason for this? I was under the impression that the scales of the variables in a multiple regression were not important. Thank you. 


Scales affect the efficiency of the optimization algorithm. 

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