The article introduces new methods for modeling complex relationships between variables using Stata software. These methods allow for more flexibility in modeling various types of data, such as censored or ordered data, and can handle correlations between different equations. The researchers have expanded the capabilities of the software to include factor variables, rank-ordered probit models, and the ability to include unobserved variables in the analysis. This means that models no longer have to be fully observed or follow a specific order, making it easier to analyze complex data sets.