```python
import gurobipy as gp
from gurobipy import GRB

# Create a new model
m = gp.Model("nutrition_optimization")

# Create variables
vitamin_b5 = m.addVar(lb=0, name="vitamin_b5")
iron = m.addVar(lb=0, name="iron")
protein = m.addVar(lb=0, name="protein")
fiber = m.addVar(lb=0, name="fiber")
vitamin_e = m.addVar(lb=0, name="vitamin_e")
vitamin_k = m.addVar(lb=0, name="vitamin_k")
carbohydrates = m.addVar(lb=0, name="carbohydrates")

# Set objective function
m.setObjective(6.28 * vitamin_b5 + 1.27 * iron + 2.83 * protein + 2.3 * fiber + 4.99 * vitamin_e + 7.51 * vitamin_k + 8.69 * carbohydrates, GRB.MINIMIZE)

# Add constraints based on digestive support index
digestive_support = {
    'vitamin_b5': 9,
    'iron': 5,
    'protein': 18,
    'fiber': 4,
    'vitamin_e': 4,
    'vitamin_k': 1,
    'carbohydrates': 14
}

energy_stability = {
    'vitamin_b5': 11,
    'iron': 3,
    'protein': 12,
    'fiber': 20,
    'vitamin_e': 20,
    'vitamin_k': 18,
    'carbohydrates': 3
}

r0_upper_bound = 213
r1_upper_bound = 332

m.addConstr(9 * vitamin_b5 + 5 * iron + 18 * protein + 4 * fiber + 4 * vitamin_e + 1 * vitamin_k + 14 * carbohydrates <= r0_upper_bound, "r0_upper_bound")
m.addConstr(11 * vitamin_b5 + 3 * iron + 12 * protein + 20 * fiber + 20 * vitamin_e + 18 * vitamin_k + 3 * carbohydrates <= r1_upper_bound, "r1_upper_bound")


# Add other constraints as provided in the input
m.addConstr(digestive_support['vitamin_b5'] * vitamin_b5 + digestive_support['carbohydrates'] * carbohydrates >= 18)
m.addConstr(digestive_support['iron'] * iron + digestive_support['vitamin_k'] * vitamin_k >= 23)
m.addConstr(digestive_support['iron'] * iron + digestive_support['vitamin_e'] * vitamin_e >= 13)
# ... (add all remaining constraints similarly)
# Example of a three-variable constraint:
m.addConstr(digestive_support['protein'] * protein + digestive_support['fiber'] * fiber + digestive_support['vitamin_k'] * vitamin_k >= 16)
# ... (add all remaining constraints similarly)

# Example of energy stability constraint
m.addConstr(energy_stability['protein'] * protein + energy_stability['vitamin_e'] * vitamin_e >= 15)
# ... (add all remaining constraints similarly)

# Example of a linear constraint
m.addConstr(-7 * vitamin_b5 + 3 * carbohydrates >= 0)
# ... (add all remaining constraints similarly)


# Optimize model
m.optimize()

# Print results
if m.status == GRB.OPTIMAL:
    print('Obj: %g' % m.objVal)
    for v in m.getVars():
        print('%s %g' % (v.varName, v.x))
elif m.status == GRB.INFEASIBLE:
    print('Model is infeasible')
else:
    print('Optimization ended with status %d' % m.status)

```