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

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

# Create variables
x = m.addVars(['rotisserie chickens', 'chicken breasts', 'sashimi', 'chicken thighs', 'strips of bacon', 'oreos'], lb=0.0, name="x")

# Set objective function
m.setObjective(4*x['rotisserie chickens']*x['chicken breasts'] + 6*x['rotisserie chickens']*x['sashimi'] + 9*x['rotisserie chickens']*x['chicken thighs'] + 9*x['rotisserie chickens']*x['strips of bacon'] + 7*x['rotisserie chickens']*x['oreos'] + x['chicken breasts']*x['sashimi'] + 6*x['chicken breasts']*x['chicken thighs'] + 5*x['chicken breasts']*x['strips of bacon'] + 2*x['chicken breasts']*x['oreos'] + x['sashimi']*x['sashimi'] + 3*x['sashimi']*x['chicken thighs'] + 7*x['sashimi']*x['strips of bacon'] + 8*x['sashimi']*x['oreos'] + 9*x['chicken thighs']*x['strips of bacon'] + 5*x['strips of bacon']*x['strips of bacon'] + 6*x['strips of bacon']*x['oreos'] + 8*x['oreos']*x['oreos'] + 3*x['rotisserie chickens'] + 2*x['sashimi'] + 2*x['chicken thighs'] + 7*x['strips of bacon'] + 7*x['oreos'], GRB.MINIMIZE)


# Add calcium constraints
calcium = {'rotisserie chickens': 15, 'chicken breasts': 17, 'sashimi': 5, 'chicken thighs': 6, 'strips of bacon': 9, 'oreos': 8}
m.addConstr(15*x['rotisserie chickens'] + 17*x['chicken breasts'] + 5*x['sashimi'] + 6*x['chicken thighs'] + 9*x['strips of bacon'] + 8*x['oreos'] <= 607, "calcium_upper_bound")
m.addConstr(6*x['chicken thighs'] + 9*x['strips of bacon'] >= 68, "c1")
m.addConstr(17*x['chicken breasts'] + 5*x['sashimi'] >= 84, "c2")
m.addConstr(5*x['sashimi'] + 9*x['strips of bacon'] >= 101, "c3")
m.addConstr(5*x['sashimi']*x['sashimi'] + 8*x['oreos']*x['oreos'] >= 51, "c4")
m.addConstr(15*x['rotisserie chickens']*x['rotisserie chickens'] + 5*x['sashimi']*x['sashimi'] >= 46, "c5")
m.addConstr(17*x['chicken breasts'] + 8*x['oreos'] >= 54, "c6")
m.addConstr(17*x['chicken breasts'] + 6*x['chicken thighs'] >= 68, "c7")
m.addConstr(15*x['rotisserie chickens'] + 17*x['chicken breasts'] >= 74, "c8")
m.addConstr(17*x['chicken breasts'] + 9*x['strips of bacon'] >= 33, "c9")
m.addConstr(17*x['chicken breasts']*x['chicken breasts'] + 5*x['sashimi']*x['sashimi'] + 6*x['chicken thighs']*x['chicken thighs'] >= 82, "c10")
m.addConstr(15*x['rotisserie chickens']*x['rotisserie chickens'] + 17*x['chicken breasts']*x['chicken breasts'] + 5*x['sashimi']*x['sashimi'] >= 82, "c11")
m.addConstr(17*x['chicken breasts']*x['chicken breasts'] + 5*x['sashimi']*x['sashimi'] + 8*x['oreos']*x['oreos'] >= 82, "c12")
m.addConstr(17*x['chicken breasts'] + 5*x['sashimi'] + 9*x['strips of bacon'] >= 82, "c13")
m.addConstr(17*x['chicken breasts'] + 9*x['strips of bacon'] + 8*x['oreos'] >= 82, "c14")
m.addConstr(15*x['rotisserie chickens']*x['rotisserie chickens'] + 5*x['sashimi']*x['sashimi'] + 9*x['strips of bacon']*x['strips of bacon'] >= 82, "c15")
m.addConstr(17*x['chicken breasts']*x['chicken breasts'] + 5*x['sashimi']*x['sashimi'] + 6*x['chicken thighs']*x['chicken thighs'] >= 101, "c16")
m.addConstr(15*x['rotisserie chickens'] + 17*x['chicken breasts'] + 5*x['sashimi'] >= 101, "c17")
m.addConstr(17*x['chicken breasts'] + 5*x['sashimi'] + 8*x['oreos'] >= 101, "c18")
m.addConstr(17*x['chicken breasts'] + 5*x['sashimi'] + 9*x['strips of bacon'] >= 101, "c19")
m.addConstr(17*x['chicken breasts'] + 9*x['strips of bacon'] + 8*x['oreos'] >= 101, "c20")
m.addConstr(15*x['rotisserie chickens'] + 5*x['sashimi'] + 9*x['strips of bacon'] >= 101, "c21")
m.addConstr(17*x['chicken breasts'] + 5*x['sashimi'] + 6*x['chicken thighs'] >= 89, "c22")
m.addConstr(15*x['rotisserie chickens']*x['rotisserie chickens'] + 17*x['chicken breasts']*x['chicken breasts'] + 5*x['sashimi']*x['sashimi'] >= 89, "c23")
m.addConstr(17*x['chicken breasts']*x['chicken breasts'] + 5*x['sashimi']*x['sashimi'] + 8*x['oreos']*x['oreos'] >= 89, "c24")
m.addConstr(17*x['chicken breasts']*x['chicken breasts'] + 5*x['sashimi']*x['sashimi'] + 9*x['strips of bacon']*x['strips of bacon'] >= 89, "c25")
m.addConstr(17*x['chicken breasts']*x['chicken breasts'] + 9*x['strips of bacon']*x['strips of bacon'] + 8*x['oreos']*x['oreos'] >= 89, "c26")

# ... (rest of the constraints)


# 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('Optimization problem is infeasible.')
else:
    print('Optimization ended with status %d' % m.status)
```