# Suggestions for dependent multivariate and multi-outputs model

I have multiple predictors (ram, cpu, I/O etc.) (depended!) and looking for a model with multivariate outputs (I am trying to predict the same input fields given partial inputs). I have tried some models but cant find a model that will fit the data requirements. For example, lasso regression does not fit because it does not have a multi input-output version. Decision Tree regression does not fit because my inputs are dependent.. any suggestions?

You can use LASSO linear regression with multiple outputs (or with a multivariate output), simply writing $Y=X\beta+\varepsilon$ where $Y$ is a matrix such that each column of $Y$ corresponds to one output (or one coordinate of your multivariate output) and $\beta$ is a coefficient matrix whose columns correspond to coefficients giving the corresponding column of $Y$.