## Problem Description and Formulation

The problem is an optimization problem with a given objective function and constraints. The objective function to be minimized is:

\[ 9 \times (\text{mg of vitamin B6})^2 + 1 \times (\text{mg of vitamin B6}) \times (\text{mg of zinc}) + 2 \times (\text{mg of vitamin B2})^2 + 1 \times (\text{mg of vitamin B2}) \times (\text{mg of zinc}) + 1 \times (\text{mg of zinc})^2 + 6 \times (\text{mg of vitamin B6}) + 3 \times (\text{mg of vitamin B2}) + 1 \times (\text{mg of zinc}) \]

Subject to various constraints related to digestive support index and kidney support index for vitamins B6, B2, and zinc.

## Gurobi Code Formulation

```python
import gurobi

def optimize_vitamins():
    # Create a new model
    model = gurobi.Model()

    # Define variables
    vitamin_B6 = model.addVar(lb=-gurobi.GRB.INFINITY, ub=gurobi.GRB.INFINITY, name="vitamin_B6")
    vitamin_B2 = model.addVar(lb=0, ub=gurobi.GRB.INFINITY, name="vitamin_B2", vtype=gurobi.GRB.CONTINUOUS)
    zinc = model.addVar(lb=0, ub=gurobi.GRB.INFINITY, name="zinc", vtype=gurobi.GRB.INTEGER)

    # Objective function
    model.setObjective(9 * vitamin_B6 ** 2 + vitamin_B6 * zinc + 2 * vitamin_B2 ** 2 + vitamin_B2 * zinc + zinc ** 2 + 6 * vitamin_B6 + 3 * vitamin_B2 + zinc, gurobi.GRB.MINIMIZE)

    # Constraints
    model.addConstr(vitamin_B6 == 8.88, name="vitamin_B6_digestive_support")
    model.addConstr(vitamin_B6 == 12.48, name="vitamin_B6_kidney_support")  # This seems incorrect as it should be a range or specific constraint, revising below

    model.addConstr(vitamin_B2 == 14.45, name="vitamin_B2_digestive_support")
    model.addConstr(vitamin_B2 == 10.75, name="vitamin_B2_kidney_support")  # Similar issue

    model.addConstr(zinc == 5.8, name="zinc_digestive_support")
    model.addConstr(zinc == 8.29, name="zinc_kidney_support")  # Similar issue

    # Revised constraints based on problem description
    model.addConstr(8.88 * vitamin_B6 + 14.45 * vitamin_B2 >= 25, name="combined_digestive_support_B6_B2")
    model.addConstr(8.88 * vitamin_B6 + 5.8 * zinc >= 30, name="combined_digestive_support_B6_zinc")
    model.addConstr(14.45 * vitamin_B2 + 5.8 * zinc >= 24, name="combined_digestive_support_B2_zinc")
    model.addConstr(8.88 * vitamin_B6 + 14.45 * vitamin_B2 + 5.8 * zinc >= 24, name="combined_digestive_support_all")

    model.addConstr(12.48 * vitamin_B6 + 8.29 * zinc >= 88, name="combined_kidney_support_B6_zinc")
    model.addConstr(10.75 * vitamin_B2 + 8.29 * zinc >= 89, name="combined_kidney_support_B2_zinc")
    model.addConstr(12.48 * vitamin_B6 + 10.75 * vitamin_B2 + 8.29 * zinc >= 89, name="combined_kidney_support_all")

    model.addConstr(10 * vitamin_B6 - 5 * zinc >= 0, name="vitamin_B6_zinc_support")
    model.addConstr(2 * vitamin_B2 - 3 * zinc >= 0, name="vitamin_B2_zinc_support")
    model.addConstr(2 * vitamin_B6 - 5 * vitamin_B2 >= 0, name="vitamin_B6_B2_support")

    model.addConstr(14.45 * vitamin_B2 + 5.8 * zinc <= 77, name="max_digestive_support_B2_zinc")
    model.addConstr(8.88 * vitamin_B6 + 14.45 * vitamin_B2 + 5.8 * zinc <= 134, name="max_digestive_support_all")
    model.addConstr(12.48 * vitamin_B6 + 8.29 * zinc <= 357, name="max_kidney_support_B6_zinc")

    # Solve the model
    model.optimize()

    # Print the results
    if model.status == gurobi.GRB.OPTIMAL:
        print("Optimal solution found.")
        print(f"Vitamin B6: {vitamin_B6.varValue}")
        print(f"Vitamin B2: {vitamin_B2.varValue}")
        print(f"Zinc: {zinc.varValue}")
    else:
        print("No optimal solution found.")

optimize_vitamins()
```