Funcfit output example Nro 1 1.645 Ppm Best 1.645 Estf =((+1.64098+b) + (-0.12140+c)) * ((+0.02947 ) * (+0.56255+a)) + ((+0.87783 ) * (-0.17311+a))atan((+2.05866 ) + (+0.47205+a)) Normalisations f = ( Y - 6.4262 ) / 2.6515 a = ( X1 - 0.4820 ) / 0.2898 b = ( X2 - 0.4544 ) / 0.2685 c = ( X3 - 0.5089 ) / 0.2812 Residuals X1 X2 X3 Y est res 1 0.000 0.756 0.533 3.197 3.137 -0.060 2 0.219 0.679 0.935 4.531 3.760 -0.772 3 0.384 0.831 0.053 4.885 5.084 0.200 4 0.530 0.008 0.067 6.017 6.304 0.287 5 0.417 0.589 0.846 5.680 5.441 -0.238 6 0.527 0.654 0.701 6.538 6.540 0.001 7 0.910 0.262 0.736 10.881 10.711 -0.170 8 0.328 0.756 0.365 4.776 4.618 -0.159 9 0.247 0.723 0.651 4.498 3.976 -0.522 10 0.073 0.885 0.436 3.489 3.132 -0.358 11 0.766 0.238 0.359 8.685 8.882 0.197 12 0.167 0.898 0.061 3.554 3.529 -0.025 13 0.905 0.516 0.987 11.168 10.935 -0.233 14 0.494 0.091 0.074 5.711 5.993 0.282 15 0.501 0.277 0.530 5.937 6.168 0.231 16 0.464 0.050 0.770 5.502 5.817 0.315 17 0.828 0.016 0.868 9.426 9.692 0.266 18 0.629 0.725 0.889 7.756 7.730 -0.026 19 0.233 0.351 0.591 4.105 3.916 -0.190 20 0.846 0.841 0.415 10.085 10.108 0.023 21 0.537 0.287 0.154 6.139 6.455 0.316 22 0.572 0.033 0.498 6.427 6.811 0.384 23 0.955 0.555 0.625 11.807 11.359 -0.448 24 0.842 0.213 0.130 9.646 9.587 -0.058 25 0.091 0.003 0.027 3.116 3.464 0.349 26 0.710 0.240 0.317 7.975 8.253 0.279 27 0.887 0.150 0.386 10.352 10.184 -0.169 28 0.388 0.148 0.846 5.012 5.127 0.114 29 0.590 0.556 0.983 7.241 7.265 0.024 30 0.409 0.565 0.488 5.348 5.325 -0.024 31 0.464 0.126 0.319 5.501 5.762 0.261 32 0.629 0.651 0.803 7.610 7.679 0.070 33 0.248 0.389 0.028 3.955 4.048 0.093 34 0.902 0.142 0.410 10.582 10.358 -0.224 35 0.131 0.092 0.071 3.317 3.525 0.208 36 0.365 0.135 0.455 4.776 4.911 0.135 37 0.350 0.809 0.652 5.218 4.808 -0.410 38 0.215 0.909 0.861 4.681 3.717 -0.964 39 0.471 0.600 0.756 6.053 5.965 -0.088 40 0.462 0.633 0.825 6.060 5.888 -0.172 41 0.689 0.987 0.851 8.634 8.499 -0.135 42 0.289 0.514 0.414 4.450 4.311 -0.139 43 0.577 0.440 0.869 6.914 7.058 0.144 44 0.716 0.706 0.019 7.968 8.388 0.419 45 0.886 0.463 0.713 10.663 10.529 -0.134 46 0.489 0.682 0.917 6.405 6.185 -0.220 47 0.866 0.544 0.450 10.255 10.198 -0.057 48 0.989 0.446 0.515 12.264 11.624 -0.640 49 0.882 0.468 0.365 10.403 10.290 -0.112 50 0.211 0.154 0.616 3.847 3.799 -0.048 51 0.001 0.773 0.319 3.014 3.196 0.182 52 0.418 0.681 0.836 5.765 5.452 -0.313 53 0.709 0.095 0.764 7.959 8.354 0.394 54 0.630 0.213 0.389 7.089 7.423 0.334 55 0.952 0.390 0.692 11.662 11.257 -0.405 56 0.284 0.784 0.282 4.425 4.266 -0.159 57 0.194 0.192 0.244 3.692 3.740 0.048 58 0.820 0.398 0.177 9.380 9.460 0.080 59 0.828 0.988 0.234 9.690 9.886 0.196 60 0.102 0.635 0.795 3.768 3.183 -0.584 61 0.696 0.669 0.056 7.769 8.177 0.407 62 0.598 0.319 0.117 6.713 7.056 0.343 63 0.763 0.554 0.330 8.750 8.967 0.217 64 0.703 0.162 0.860 7.970 8.350 0.381 65 0.813 0.739 0.135 9.325 9.539 0.214 66 0.529 0.588 0.431 6.309 6.488 0.180 67 0.259 0.393 0.476 4.232 4.092 -0.139 68 0.388 0.078 0.254 4.887 5.084 0.196 69 0.672 0.514 0.721 7.889 8.084 0.195 70 0.945 0.940 0.460 11.726 11.376 -0.350 71 0.517 0.402 0.987 6.379 6.441 0.062 72 0.150 0.344 0.523 3.622 3.473 -0.148 73 0.829 0.274 0.546 9.609 9.683 0.074 74 0.918 0.970 0.844 11.739 11.286 -0.453 75 0.694 0.817 0.161 7.855 8.246 0.391 76 0.707 0.437 0.752 8.242 8.460 0.218 77 0.992 0.280 0.171 12.086 11.315 -0.771 78 0.004 0.080 0.903 2.822 3.231 0.409 79 0.783 0.436 0.585 9.103 9.255 0.152 80 0.518 0.544 0.216 6.057 6.337 0.280 81 0.386 0.659 0.539 5.272 5.124 -0.147 82 0.280 0.372 0.310 4.277 4.253 -0.024 83 0.009 0.521 0.221 2.894 3.288 0.394 84 0.055 0.160 0.297 3.010 3.333 0.323 85 0.051 0.457 0.447 3.177 3.214 0.037 86 0.150 0.834 0.578 3.978 3.381 -0.597 87 0.681 0.058 0.542 7.589 7.961 0.372 88 0.002 0.029 0.490 2.742 3.379 0.636 89 0.576 0.679 0.036 6.480 6.909 0.429 90 0.123 0.188 0.614 3.405 3.379 -0.026 91 0.608 0.553 0.357 6.998 7.285 0.287 92 0.838 0.259 0.424 9.688 9.715 0.028 93 0.813 0.245 0.695 9.407 9.555 0.148 94 0.452 0.665 0.210 5.520 5.710 0.190 95 0.114 0.006 0.599 3.228 3.392 0.164 96 0.432 0.687 0.836 5.881 5.592 -0.289 97 0.124 0.030 0.494 3.290 3.437 0.147 98 0.769 0.250 0.769 8.851 9.096 0.245 99 0.500 0.672 0.757 6.360 6.272 -0.088 100 0.036 0.222 0.653 3.044 3.224 0.180 101 0.617 0.225 0.653 7.031 7.367 0.336 102 0.166 0.160 0.662 3.613 3.551 -0.062 103 0.125 0.484 0.914 3.808 3.274 -0.534 104 0.018 0.722 0.054 2.839 3.261 0.422 105 0.442 0.772 0.443 5.679 5.653 -0.026 106 0.977 0.329 0.743 12.066 11.547 -0.519 107 0.205 0.373 0.965 4.129 3.700 -0.429 108 0.255 0.124 0.160 4.008 4.103 0.095 109 0.518 0.842 0.424 6.333 6.428 0.095 110 0.327 0.577 0.758 4.963 4.611 -0.352 111 0.837 0.389 0.606 9.816 9.856 0.040 112 0.362 0.455 0.240 4.810 4.890 0.080 113 0.083 0.472 0.105 3.138 3.326 0.188 114 0.216 0.527 0.864 4.305 3.765 -0.540 115 0.244 0.264 0.081 3.944 4.029 0.085 116 0.460 0.795 0.003 5.421 5.776 0.355 117 0.266 0.425 0.964 4.542 4.117 -0.425 118 0.134 0.946 0.606 4.002 3.280 -0.722 119 0.064 0.292 0.826 3.281 3.173 -0.108 120 0.834 0.329 0.632 9.751 9.812 0.060 Variance = 0.664295 Mean error = 0.777859E-01 Corr = 0.993121 Residual sum = -0.121638 should be near zero Largest residuals check line 38 resid -0.9642 check line 2 resid -0.7716 check line 77 resid -0.7711 check line 118 resid -0.7220 check line 48 resid -0.6403