The NLIN Procedure
Dependent Variable ssDNA

Grid Search
f0 f1 k1 f2 k2 Sum of
Squares
0.3090 0.3921 1.0000 0.1256 0.00100 0.3119



The NLIN Procedure
Dependent Variable ssDNA
Method: Gauss-Newton

Iterative Phase
Iter f0 f1 k1 f2 k2 Sum of
Squares
0 0.3090 0.3921 1.0000 0.1256 0.00100 0.3119
1 0.2803 0.3858 1.2174 0.1663 0.000405 0.2661
2 0.1678 0.3622 2.2015 0.3229 0.000126 0.1860
3 0.0659 0.3527 5.2989 0.4675 0.000255 0.0681
4 0.0222 0.3728 11.6098 0.5160 0.000225 0.0378
5 0.0216 0.3889 19.4298 0.5169 0.000229 0.0270
6 0.0227 0.3975 26.5984 0.5182 0.000233 0.0237
7 0.0236 0.4020 31.7611 0.5194 0.000237 0.0227
8 0.0242 0.4042 34.7692 0.5201 0.000239 0.0225
9 0.0245 0.4052 36.2739 0.5204 0.000240 0.0224
10 0.0247 0.4056 36.9623 0.5206 0.000241 0.0224
11 0.0247 0.4058 37.2634 0.5207 0.000241 0.0224
12 0.0248 0.4059 37.3925 0.5207 0.000241 0.0224
13 0.0248 0.4059 37.4473 0.5207 0.000241 0.0224
14 0.0248 0.4059 37.4705 0.5208 0.000241 0.0224
15 0.0248 0.4059 37.4803 0.5208 0.000241 0.0224
16 0.0248 0.4059 37.4844 0.5208 0.000241 0.0224
17 0.0248 0.4059 37.4861 0.5208 0.000241 0.0224
18 0.0248 0.4059 37.4869 0.5208 0.000241 0.0224

NOTE: Convergence criterion met.

Estimation Summary
Method Gauss-Newton
Iterations 18
Subiterations 3
Average Subiterations 0.166667
R 7.614E-6
PPC(k1) 8.278E-6
RPC(k1) 0.00002
Object 4.63E-10
Objective 0.022428
Observations Read 28
Observations Used 28
Observations Missing 0

Source DF Sum of Squares Mean Square F Value Approx
Pr > F
Model 4 1.7994 0.4498 461.32 <.0001
Error 23 0.0224 0.000975    
Corrected Total 27 1.8218      

Parameter Estimate Approx
Std Error
Approximate 95% Confidence
Limits
f0 0.0248 0.0313 -0.0399 0.0895
f1 0.4059 0.0178 0.3690 0.4428
k1 37.4869 8.4983 19.9069 55.0669
f2 0.5208 0.0314 0.4558 0.5857
k2 0.000241 0.000048 0.000143 0.000340

Approximate Correlation Matrix
  f0 f1 k1 f2 k2
f0 1.0000000 -0.0785912 0.0621145 -0.9412553 0.7828518
f1 -0.0785912 1.0000000 0.2865556 -0.0923006 -0.2036003
k1 0.0621145 0.2865556 1.0000000 0.0736170 0.1612422
f2 -0.9412553 -0.0923006 0.0736170 1.0000000 -0.6394764
k2 0.7828518 -0.2036003 0.1612422 -0.6394764 1.0000000