The following data sets contain the input data that are used in this example:
data inputs;
input input $9.;
datalines;
staff
showroom
pop1
pop2
alpha_enq
beta_enq
;
data outputs;
input output $11.;
datalines;
alpha_sales
beta_sales
profit
;
data garage_data;
input garage_name $12. staff showroom pop1 pop2 alpha_enq beta_enq
alpha_sales beta_sales profit;
datalines;
Winchester 7 8 10 12 8.5 4 2 0.6 1.5
Andover 6 6 20 30 9 4.5 2.3 0.7 1.6
Basingstoke 2 3 40 40 2 1.5 0.8 0.25 0.5
Poole 14 9 20 25 10 6 2.6 0.86 1.9
Woking 10 9 10 10 11 5 2.4 1 2
Newbury 24 15 15 13 25 19 8 2.6 4.5
Portsmouth 6 7 50 40 8.5 3 2.5 0.9 1.6
Alresford 8 7.5 5 8 9 4 2.1 0.85 2
Salisbury 5 5 10 10 5 2.5 2 0.65 0.9
Guildford 8 10 30 35 9.5 4.5 2.05 0.75 1.7
Alton 7 8 7 8 3 2 1.9 0.7 0.5
Weybridge 5 6.5 9 12 8 4.5 1.8 0.63 1.4
Dorchester 6 7.5 10 10 7.5 4 1.5 0.45 1.45
Bridport 11 8 8 10 10 6 2.2 0.65 2.2
Weymouth 4 5 10 10 7.5 3.5 1.8 0.62 1.6
Portland 3 3.5 3 2 2 1.5 0.9 0.35 0.5
Chichester 5 5.5 8 10 7 3.5 1.2 0.45 1.3
Petersfield 21 12 6 8 15 8 6 0.25 2.9
Petworth 6 5.5 2 2 8 5 1.5 0.55 1.55
Midhurst 3 3.6 3 3 2.5 1.5 0.8 0.2 0.45
Reading 30 29 120 80 35 20 7 2.5 8
Southampton 25 16 110 80 27 12 6.5 3.5 5.4
Bournemouth 19 10 90 12 25 13 5.5 3.1 4.5
Henley 7 6 5 7 8.5 4.5 1.2 0.48 2
Maidenhead 12 8 7 10 12 7 4.5 2 2.3
Fareham 4 6 1 1 7.5 3.5 1.1 0.48 1.7
Romsey 2 2.5 1 1 2.5 1 0.4 0.1 0.55
Ringwood 2 3.5 2 2 1.9 1.2 0.3 0.09 0.4
;