 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 .
<clarity>  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 model parameters are relaxed to an inequality, allowing the transformation of the original problem into a convex problem .