RPD - Example 15.1 - Nonlinear Regression 1 11:08 Tuesday, August 25, 2009 The NLIN Procedure Dependent Variable y Method: Gauss-Newton Iterative Phase Sum of Iter a d g Squares 0 5.0000 2.0000 1.0000 57.5618 1 4.0223 3.2745 0.8097 10.0253 2 4.3828 4.9920 0.9265 7.5293 3 4.2543 4.6408 1.0156 7.4666 4 4.2842 4.7346 1.0150 7.4630 5 4.2834 4.7325 1.0156 7.4630 6 4.2835 4.7326 1.0156 7.4630 NOTE: Convergence criterion met. Estimation Summary Method Gauss-Newton Iterations 6 R 9.656E-7 PPC(d) 1.228E-6 RPC(d) 0.000028 Object 4.35E-10 Objective 7.463023 Observations Read 27 Observations Used 27 Observations Missing 0 NOTE: An intercept was not specified for this model. Sum of Mean Approx Source DF Squares Square F Value Pr > F Model 3 240.8 80.2633 258.12 <.0001 Error 24 7.4630 0.3110 Uncorrected Total 27 248.3 RPD - Example 15.1 - Nonlinear Regression 2 11:08 Tuesday, August 25, 2009 The NLIN Procedure Approx Approximate 95% Confidence Parameter Estimate Std Error Limits a 4.2835 0.4747 3.3038 5.2631 d 4.7326 1.2712 2.1090 7.3562 g 1.0156 0.2272 0.5466 1.4846 Approximate Correlation Matrix a d g a 1.0000000 0.9329968 -0.7775717 d 0.9329968 1.0000000 -0.7167829 g -0.7775717 -0.7167829 1.0000000 RPD - Example 15.1 - Nonlinear Regression 3 11:08 Tuesday, August 25, 2009 Obs suspnum t y yhat a d g 1 1 0.45 0.34170 0.37515 4.28346 4.73259 1.01561 2 2 0.45 -0.00438 0.37515 4.28346 4.73259 1.01561 3 3 0.45 0.82531 0.37515 4.28346 4.73259 1.01561 4 4 1.30 1.77967 1.01095 4.28346 4.73259 1.01561 5 5 1.30 0.95384 1.01095 4.28346 4.73259 1.01561 6 6 1.30 0.64080 1.01095 4.28346 4.73259 1.01561 7 7 2.40 1.75136 1.69001 4.28346 4.73259 1.01561 8 8 2.40 1.27497 1.69001 4.28346 4.73259 1.01561 9 9 2.40 1.17332 1.69001 4.28346 4.73259 1.01561 10 10 4.00 3.12273 2.43976 4.28346 4.73259 1.01561 11 11 4.00 2.60958 2.43976 4.28346 4.73259 1.01561 12 12 4.00 2.57429 2.43976 4.28346 4.73259 1.01561 13 13 6.10 3.17881 3.10911 4.28346 4.73259 1.01561 14 14 6.10 3.00782 3.10911 4.28346 4.73259 1.01561 15 15 6.10 2.67061 3.10911 4.28346 4.73259 1.01561 16 16 8.05 3.05959 3.51269 4.28346 4.73259 1.01561 17 17 8.05 3.94321 3.51269 4.28346 4.73259 1.01561 18 18 8.05 3.43726 3.51269 4.28346 4.73259 1.01561 19 19 11.15 4.80735 3.89007 4.28346 4.73259 1.01561 20 20 11.15 3.35583 3.89007 4.28346 4.73259 1.01561 21 21 11.15 2.78309 3.89007 4.28346 4.73259 1.01561 22 22 13.15 5.13825 4.02898 4.28346 4.73259 1.01561 23 23 13.15 4.70274 4.02898 4.28346 4.73259 1.01561 24 24 13.15 4.25702 4.02898 4.28346 4.73259 1.01561 25 25 15.00 3.60404 4.11352 4.28346 4.73259 1.01561 26 26 15.00 4.15029 4.11352 4.28346 4.73259 1.01561 27 27 15.00 3.42484 4.11352 4.28346 4.73259 1.01561