 In confirmatory SEM, the original nonlinear equality constraints of model parameters are relaxed to an inequality, allowing us to transform the original problem into a convex problem .
<fluency>  In confirmatory SEM, the original nonlinear equality constraints of model parameters are relaxed to an inequality, allowing us to transform the original problem into a convex problem .
 In confirmatory SEM, the original nonlinear equality constraints of the model parameters were relaxed to an inequality, allowing us to transform the original problem into a convex problem .