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: Marquardt

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 0.3057 0.3976 1.3258 0.1378 0.000723 0.2844
2 0.2656 0.3911 2.6792 0.2154 0.000696 0.1905
3 0.2231 0.3850 5.3513 0.2825 0.000540 0.1215
4 0.1830 0.3854 9.8479 0.3386 0.000492 0.0758
5 0.1457 0.3903 15.7772 0.3845 0.000398 0.0495
6 0.0591 0.3954 22.9948 0.4789 0.000207 0.0319
7 0.0256 0.4000 29.2709 0.5163 0.000238 0.0231
8 0.0239 0.4032 33.3869 0.5197 0.000238 0.0226
9 0.0244 0.4047 35.6040 0.5203 0.000240 0.0225
10 0.0246 0.4054 36.6610 0.5205 0.000241 0.0224
11 0.0247 0.4057 37.1327 0.5207 0.000241 0.0224
12 0.0248 0.4058 37.3367 0.5207 0.000241 0.0224
13 0.0248 0.4059 37.4236 0.5207 0.000241 0.0224
14 0.0248 0.4059 37.4605 0.5208 0.000241 0.0224
15 0.0248 0.4059 37.4760 0.5208 0.000241 0.0224
16 0.0248 0.4059 37.4826 0.5208 0.000241 0.0224
17 0.0248 0.4059 37.4854 0.5208 0.000241 0.0224
18 0.0248 0.4059 37.4866 0.5208 0.000241 0.0224
19 0.0248 0.4059 37.4871 0.5208 0.000241 0.0224

NOTE: Convergence criterion met.

Estimation Summary
Method Marquardt
Iterations 19
Subiterations 12
Average Subiterations 0.631579
R 5.111E-6
PPC(k1) 5.557E-6
RPC(k1) 0.000013
Object 2.09E-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 37.4871 8.4984 19.9070 55.0671
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 -0.0785911 0.0621145 -0.9412553 0.7828517
f1 -0.0785911 1.0000000 0.2865563 -0.0923005 -0.2036000
k1 0.0621145 0.2865563 1.0000000 0.0736169 0.1612420
f2 -0.9412553 -0.0923005 0.0736169 1.0000000 -0.6394764
k2 0.7828517 -0.2036000 0.1612420 -0.6394764 1.0000000