## Step 1: Define the optimization problem
The problem is to minimize the objective function: $6.84 \times \text{chicken breasts} + 8.92 \times \text{potatoes} + 2.94 \times \text{rotisserie chickens} + 8.74 \times \text{bagged salads} + 7.66 \times \text{bananas}$.

## Step 2: List all the constraints
1. The healthiness rating of chicken breasts is 21.
2. The healthiness rating of potatoes is 9.
3. The healthiness rating of rotisserie chickens is 14.
4. The healthiness rating of bagged salads is 2.
5. The healthiness rating of bananas is 13.
6. $14 \times \text{rotisserie chickens} + 2 \times \text{bagged salads} \geq 36$.
7. $9 \times \text{potatoes} + 2 \times \text{bagged salads} \geq 39$.
8. $14 \times \text{rotisserie chickens} + 2 \times \text{bagged salads} + 13 \times \text{bananas} \geq 26$.
9. $21 \times \text{chicken breasts} + 9 \times \text{potatoes} + 14 \times \text{rotisserie chickens} \geq 26$.
10. $21 \times \text{chicken breasts} + 9 \times \text{potatoes} + 13 \times \text{bananas} \geq 26$.
11. $14 \times \text{rotisserie chickens} + 2 \times \text{bagged salads} + 13 \times \text{bananas} \geq 44$.
12. $21 \times \text{chicken breasts} + 9 \times \text{potatoes} + 14 \times \text{rotisserie chickens} \geq 44$.
13. $21 \times \text{chicken breasts} + 9 \times \text{potatoes} + 13 \times \text{bananas} \geq 44$.
14. $14 \times \text{rotisserie chickens} + 2 \times \text{bagged salads} + 13 \times \text{bananas} \geq 42$.
15. $21 \times \text{chicken breasts} + 9 \times \text{potatoes} + 14 \times \text{rotisserie chickens} \geq 42$.
16. $21 \times \text{chicken breasts} + 9 \times \text{potatoes} + 13 \times \text{bananas} \geq 42$.
17. $21 \times \text{chicken breasts} + 9 \times \text{potatoes} + 14 \times \text{rotisserie chickens} + 2 \times \text{bagged salads} + 13 \times \text{bananas} \geq 42$.
18. $-10 \times \text{potatoes} + 2 \times \text{bananas} \geq 0$.
19. $10 \times \text{potatoes} - 10 \times \text{rotisserie chickens} \geq 0$.
20. $21 \times \text{chicken breasts} + 2 \times \text{bagged salads} + 13 \times \text{bananas} \leq 68$.
21. $14 \times \text{rotisserie chickens} + 2 \times \text{bagged salads} + 13 \times \text{bananas} \leq 168$.
22. $21 \times \text{chicken breasts} + 14 \times \text{rotisserie chickens} + 13 \times \text{bananas} \leq 85$.
23. $21 \times \text{chicken breasts} + 9 \times \text{potatoes} + 13 \times \text{bananas} \leq 160$.
24. $21 \times \text{chicken breasts} + 14 \times \text{rotisserie chickens} + 2 \times \text{bagged salads} \leq 156$.
25. $9 \times \text{potatoes} + 14 \times \text{rotisserie chickens} + 13 \times \text{bananas} \leq 126$.
26. $9 \times \text{potatoes} + 2 \times \text{bagged salads} + 13 \times \text{bananas} \leq 78$.
27. $21 \times \text{chicken breasts} + 9 \times \text{potatoes} + 14 \times \text{rotisserie chickens} \leq 154$.

## Step 3: Convert the problem into Gurobi code
```python
import gurobi

# Create a new model
m = gurobi.Model()

# Define the variables
chicken_breasts = m.addVar(name="chicken_breasts", lb=0)
potatoes = m.addVar(name="potatoes", lb=0)
rotisserie_chickens = m.addVar(name="rotisserie_chickens", lb=0)
bagged_salads = m.addVar(name="bagged_salads", lb=0)
bananas = m.addVar(name="bananas", lb=0)

# Define the objective function
m.setObjective(6.84 * chicken_breasts + 8.92 * potatoes + 2.94 * rotisserie_chickens + 8.74 * bagged_salads + 7.66 * bananas, gurobi.GRB.MINIMIZE)

# Add constraints
m.addConstr(14 * rotisserie_chickens + 2 * bagged_salads >= 36)
m.addConstr(9 * potatoes + 2 * bagged_salads >= 39)
m.addConstr(14 * rotisserie_chickens + 2 * bagged_salads + 13 * bananas >= 26)
m.addConstr(21 * chicken_breasts + 9 * potatoes + 14 * rotisserie_chickens >= 26)
m.addConstr(21 * chicken_breasts + 9 * potatoes + 13 * bananas >= 26)
m.addConstr(14 * rotisserie_chickens + 2 * bagged_salads + 13 * bananas >= 44)
m.addConstr(21 * chicken_breasts + 9 * potatoes + 14 * rotisserie_chickens >= 44)
m.addConstr(21 * chicken_breasts + 9 * potatoes + 13 * bananas >= 44)
m.addConstr(14 * rotisserie_chickens + 2 * bagged_salads + 13 * bananas >= 42)
m.addConstr(21 * chicken_breasts + 9 * potatoes + 14 * rotisserie_chickens >= 42)
m.addConstr(21 * chicken_breasts + 9 * potatoes + 13 * bananas >= 42)
m.addConstr(21 * chicken_breasts + 9 * potatoes + 14 * rotisserie_chickens + 2 * bagged_salads + 13 * bananas >= 42)
m.addConstr(-10 * potatoes + 2 * bananas >= 0)
m.addConstr(10 * potatoes - 10 * rotisserie_chickens >= 0)
m.addConstr(21 * chicken_breasts + 2 * bagged_salads + 13 * bananas <= 68)
m.addConstr(14 * rotisserie_chickens + 2 * bagged_salads + 13 * bananas <= 168)
m.addConstr(21 * chicken_breasts + 14 * rotisserie_chickens + 13 * bananas <= 85)
m.addConstr(21 * chicken_breasts + 9 * potatoes + 13 * bananas <= 160)
m.addConstr(21 * chicken_breasts + 14 * rotisserie_chickens + 2 * bagged_salads <= 156)
m.addConstr(9 * potatoes + 14 * rotisserie_chickens + 13 * bananas <= 126)
m.addConstr(9 * potatoes + 2 * bagged_salads + 13 * bananas <= 78)
m.addConstr(21 * chicken_breasts + 9 * potatoes + 14 * rotisserie_chickens <= 154)

# Solve the model
m.optimize()

# Print the solution
if m.status == gurobi.GRB.OPTIMAL:
    print("Objective: ", m.objVal)
    print("Chicken Breasts: ", chicken_breasts.varValue)
    print("Potatoes: ", potatoes.varValue)
    print("Rotisserie Chickens: ", rotisserie_chickens.varValue)
    print("Bagged Salads: ", bagged_salads.varValue)
    print("Bananas: ", bananas.varValue)
else:
    print("The model is infeasible")
```