问题遇到的现象和发生背景
3D数据拟合
补： R2计算公式为：R2 = 1 - （sum((fit_val - z).^2)）/（sum((z - mean(z)).^2)）
问题相关代码，请勿粘贴截图
x y z
0.061 0.263 201.0619298
0.089 0.266 201.0619298
0.169 0.271 201.0619298
0.27 0.279 201.0619298
0.33 0.284 201.0619298
0.391 0.288 201.0619298
0.468 0.293 201.0619298
0.544 0.299 201.0619298
0.719 0.312 201.0619298
0.914 0.327 201.0619298
1.13 0.343 201.0619298
1.378 0.361 201.0619298
1.647 0.381 201.0619298
1.933 0.403 201.0619298
2.242 0.427 201.0619298
2.57 0.453 201.0619298
2.93 0.48 201.0619298
3.31 0.509 201.0619298
3.719 0.54 201.0619298
4.15 0.572 201.0619298
4.605 0.606 201.0619298
5.08 0.641 201.0619298
5.57 0.677 201.0619298
6.1 0.716 201.0619298
6.645 0.756 201.0619298
7.203 0.797 201.0619298
7.818 0.84 201.0619298
8.403 0.885 201.0619298
9.043 0.932 201.0619298
9.714 0.978 201.0619298
10.36 1.028 201.0619298
11.02 1.078 201.0619298
11.74 1.129 201.0619298
12.45 1.183 201.0619298
13.17 1.24 201.0619298
13.92 1.298 201.0619298
0.06 0.264 176.7145868
0.088 0.266 176.7145868
0.124 0.268 176.7145868
0.167 0.272 176.7145868
0.212 0.276 176.7145868
0.265 0.28 176.7145868
0.384 0.289 176.7145868
0.536 0.3 176.7145868
0.708 0.313 176.7145868
0.903 0.328 176.7145868
1.119 0.344 176.7145868
1.36 0.362 176.7145868
1.624 0.382 176.7145868
1.904 0.405 176.7145868
2.215 0.429 176.7145868
2.543 0.455 176.7145868
2.89 0.482 176.7145868
3.27 0.511 176.7145868
3.67 0.544 176.7145868
4.08 0.576 176.7145868
4.538 0.611 176.7145868
5 0.646 176.7145868
5.49 0.684 176.7145868
6 0.723 176.7145868
6.56 0.764 176.7145868
7.12 0.805 176.7145868
7.602 0.84 176.7145868
8.26 0.894 176.7145868
8.91 0.941 176.7145868
9.54 0.99 176.7145868
10.199 1.04 176.7145868
10.9 1.092 176.7145868
11.55 1.145 176.7145868
12.26 1.2 176.7145868
12.979 1.256 176.7145868
13.76 1.316 176.7145868
13.516 1.337 153.93804
12.73 1.276 153.93804
12 1.217 153.93804
11.298 1.161 153.93804
10.6 1.107 153.93804
9.96 1.053 153.93804
9.23 1.003 153.93804
8.67 0.953 153.93804
8.03 0.905 153.93804
7.46 0.859 153.93804
6.9 0.814 153.93804
6.36 0.771 153.93804
5.84 0.73 153.93804
5.35 0.69 153.93804
4.87 0.652 153.93804
4.409 0.616 153.93804
3.976 0.581 153.93804
3.567 0.548 153.93804
3.19 0.516 153.93804
2.823 0.485 153.93804
2.472 0.458 153.93804
2.153 0.431 153.93804
1.878 0.407 153.93804
1.601 0.384 153.93804
1.335 0.363 153.93804
1.099 0.345 153.93804
0.888 0.328 153.93804
0.7 0.313 153.93804
0.527 0.3 153.93804
0.38 0.29 153.93804
0.263 0.279 153.93804
0.166 0.272 153.93804
0.088 0.265 153.93804
0.088 0.265 132.7322896
0.16 0.272 132.7322896
0.255 0.279 132.7322896
0.371 0.29 132.7322896
0.514 0.301 132.7322896
0.687 0.314 132.7322896
0.868 0.329 132.7322896
1.075 0.347 132.7322896
1.312 0.367 132.7322896
1.562 0.388 132.7322896
1.83 0.412 132.7322896
2.122 0.437 132.7322896
2.43 0.463 132.7322896
2.76 0.493 132.7322896
3.126 0.525 132.7322896
3.49 0.557 132.7322896
3.9 0.592 132.7322896
4.33 0.629 132.7322896
4.76 0.667 132.7322896
5.24 0.706 132.7322896
5.73 0.748 132.7322896
6.24 0.791 132.7322896
6.75 0.836 132.7322896
7.312 0.882 132.7322896
7.88 0.93 132.7322896
8.503 0.98 132.7322896
9.09 1.031 132.7322896
9.73 1.084 132.7322896
10.37 1.138 132.7322896
11 1.194 132.7322896
11.69 1.252 132.7322896
12.45 1.313 132.7322896
13.1 1.376 132.7322896
0.085 0.265 113.0973355
0.117 0.267 113.0973355
0.156 0.271 113.0973355
0.201 0.275 113.0973355
0.251 0.279 113.0973355
0.363 0.29 113.0973355
0.5 0.302 113.0973355
0.663 0.316 113.0973355
0.845 0.332 113.0973355
1.042 0.35 113.0973355
1.26 0.37 113.0973355
1.5 0.392 113.0973355
1.77 0.416 113.0973355
2.05 0.443 113.0973355
2.35 0.471 113.0973355
2.667 0.501 113.0973355
3.02 0.533 113.0973355
3.368 0.568 113.0973355
3.756 0.604 113.0973355
4.15 0.642 113.0973355
4.6 0.681 113.0973355
5.05 0.723 113.0973355
5.53 0.766 113.0973355
5.995 0.812 113.0973355
6.51 0.859 113.0973355
7.04 0.907 113.0973355
7.61 0.957 113.0973355
8.139 1.01 113.0973355
8.72 1.064 113.0973355
9.32 1.119 113.0973355
9.952 1.176 113.0973355
10.57 1.237 113.0973355
11.243 1.296 113.0973355
11.95 1.36 113.0973355
12.62 1.425 113.0973355
11.885 1.49 95.03317777
11.27 1.42 95.03317777
10.6 1.352 95.03317777
9.97 1.287 95.03317777
9.35 1.222 95.03317777
8.78 1.163 95.03317777
8.215 1.103 95.03317777
7.66 1.046 95.03317777
7.16 0.991 95.03317777
6.62 0.938 95.03317777
6.13 0.887 95.03317777
5.656 0.838 95.03317777
5.18 0.791 95.03317777
4.77 0.745 95.03317777
4.33 0.702 95.03317777
3.92 0.66 95.03317777
3.55 0.62 95.03317777
3.16 0.583 95.03317777
2.83 0.546 95.03317777
2.515 0.512 95.03317777
2.218 0.48 95.03317777
1.933 0.451 95.03317777
1.67 0.424 95.03317777
1.43 0.398 95.03317777
1.203 0.375 95.03317777
0.99 0.354 95.03317777
0.801 0.335 95.03317777
0.633 0.318 95.03317777
0.48 0.305 95.03317777
0.35 0.292 95.03317777
0.243 0.281 95.03317777
0.149 0.272 95.03317777
0.08 0.266 95.03317777
0.077 0.266 78.53981634
0.143 0.273 78.53981634
0.226 0.282 78.53981634
0.326 0.293 78.53981634
0.442 0.307 78.53981634
0.583 0.322 78.53981634
0.747 0.34 78.53981634
0.916 0.36 78.53981634
1.113 0.383 78.53981634
1.33 0.407 78.53981634
1.56 0.435 78.53981634
1.79 0.463 78.53981634
2.06 0.495 78.53981634
2.34 0.53 78.53981634
2.64 0.567 78.53981634
2.95 0.605 78.53981634
3.29 0.645 78.53981634
3.65 0.688 78.53981634
4.01 0.734 78.53981634
4.388 0.782 78.53981634
4.8 0.832 78.53981634
5.25 0.883 78.53981634
5.68 0.935 78.53981634
6.15 0.992 78.53981634
6.62 1.049 78.53981634
7.13 1.109 78.53981634
7.63 1.171 78.53981634
8.14 1.234 78.53981634
8.694 1.3 78.53981634
9.23 1.369 78.53981634
9.8 1.439 78.53981634
10.38 1.511 78.53981634
10.99 1.584 78.53981634
0.07 0.268 63.61725124
0.126 0.275 63.61725124
0.204 0.284 63.61725124
0.297 0.295 63.61725124
0.4 0.312 63.61725124
0.522 0.329 63.61725124
0.665 0.347 63.61725124
0.82 0.369 63.61725124
0.99 0.392 63.61725124
1.178 0.42 63.61725124
1.37 0.449 63.61725124
1.59 0.481 63.61725124
1.827 0.516 63.61725124
2.066 0.553 63.61725124
2.33 0.593 63.61725124
2.615 0.635 63.61725124
2.921 0.68 63.61725124
3.218 0.727 63.61725124
3.56 0.776 63.61725124
3.889 0.828 63.61725124
4.26 0.883 63.61725124
4.63 0.94 63.61725124
5.03 0.997 63.61725124
5.42 1.059 63.61725124
5.86 1.123 63.61725124
6.29 1.188 63.61725124
6.74 1.256 63.61725124
7.203 1.327 63.61725124
7.71 1.4 63.61725124
8.18 1.475 63.61725124
8.64 1.552 63.61725124
9.15 1.63 63.61725124
9.717 1.714 63.61725124
8.35 1.849 50.26548246
7.86 1.758 50.26548246
7.43 1.67 50.26548246
6.98 1.584 50.26548246
6.56 1.501 50.26548246
6.15 1.421 50.26548246
5.75 1.344 50.26548246
5.37 1.27 50.26548246
5 1.197 50.26548246
4.64 1.128 50.26548246
4.292 1.061 50.26548246
3.96 0.997 50.26548246
3.63 0.935 50.26548246
3.32 0.876 50.26548246
3.05 0.821 50.26548246
2.78 0.767 50.26548246
2.5 0.715 50.26548246
2.25 0.667 50.26548246
2.012 0.622 50.26548246
1.78 0.578 50.26548246
1.58 0.537 50.26548246
1.37 0.5 50.26548246
1.19 0.466 50.26548246
1.021 0.434 50.26548246
0.86 0.405 50.26548246
0.712 0.379 50.26548246
0.573 0.355 50.26548246
0.452 0.334 50.26548246
0.352 0.315 50.26548246
0.26 0.3 50.26548246
0.179 0.286 50.26548246
0.111 0.275 50.26548246
0.062 0.267 50.26548246
0.05 0.268 38.48451001
0.091 0.277 38.48451001
0.144 0.288 38.48451001
0.208 0.304 38.48451001
0.283 0.321 38.48451001
0.364 0.342 38.48451001
0.46 0.365 38.48451001
0.56 0.391 38.48451001
0.669 0.421 38.48451001
0.793 0.453 38.48451001
0.923 0.489 38.48451001
1.07 0.529 38.48451001
1.225 0.57 38.48451001
1.384 0.614 38.48451001
1.55 0.663 38.48451001
1.74 0.714 38.48451001
1.92 0.769 38.48451001
2.12 0.827 38.48451001
2.33 0.887 38.48451001
2.55 0.95 38.48451001
2.78 1.015 38.48451001
3.01 1.085 38.48451001
3.25 1.158 38.48451001
3.52 1.234 38.48451001
3.786 1.312 38.48451001
4.08 1.395 38.48451001
4.37 1.479 38.48451001
4.705 1.568 38.48451001
5.04 1.658 38.48451001
5.34 1.751 38.48451001
5.66 1.846 38.48451001
5.995 1.945 38.48451001
6.34 2.046 38.48451001
4.12 2.243 28.27433388
3.9 2.127 28.27433388
3.69 2.015 28.27433388
3.48 1.908 28.27433388
3.275 1.803 28.27433388
3.07 1.702 28.27433388
2.89 1.605 28.27433388
2.709 1.511 28.27433388
2.53 1.419 28.27433388
2.361 1.333 28.27433388
2.18 1.248 28.27433388
2.03 1.168 28.27433388
1.879 1.092 28.27433388
1.725 1.019 28.27433388
1.585 0.949 28.27433388
1.44 0.883 28.27433388
1.316 0.82 28.27433388
1.183 0.76 28.27433388
1.059 0.704 28.27433388
0.947 0.65 28.27433388
0.833 0.601 28.27433388
0.739 0.556 28.27433388
0.64 0.513 28.27433388
0.551 0.474 28.27433388
0.465 0.438 28.27433388
0.39 0.405 28.27433388
0.321 0.376 28.27433388
0.259 0.349 28.27433388
0.199 0.328 28.27433388
0.148 0.308 28.27433388
0.103 0.292 28.27433388
0.066 0.28 28.27433388
0.035 0.269 28.27433388
0.022 0.271 19.63495408
0.039 0.281 19.63495408
0.062 0.294 19.63495408
0.088 0.311 19.63495408
0.12 0.332 19.63495408
0.156 0.357 19.63495408
0.196 0.384 19.63495408
0.239 0.416 19.63495408
0.282 0.451 19.63495408
0.33 0.49 19.63495408
0.375 0.532 19.63495408
0.434 0.578 19.63495408
0.49 0.628 19.63495408
0.548 0.68 19.63495408
0.613 0.737 19.63495408
0.677 0.797 19.63495408
0.743 0.861 19.63495408
0.818 0.929 19.63495408
0.895 1 19.63495408
0.97 1.074 19.63495408
1.045 1.152 19.63495408
1.133 1.234 19.63495408
1.218 1.32 19.63495408
1.301 1.409 19.63495408
1.392 1.503 19.63495408
1.484 1.6 19.63495408
1.588 1.7 19.63495408
1.69 1.805 19.63495408
1.799 1.911 19.63495408
1.9 2.021 19.63495408
2.008 2.136 19.63495408
2.12 2.251 19.63495408
2.237 2.373 19.63495408
0.94 2.455 12.56637061
0.899 2.326 12.56637061
0.868 2.201 12.56637061
0.814 2.082 12.56637061
0.777 1.965 12.56637061
0.74 1.854 12.56637061
0.698 1.746 12.56637061
0.668 1.643 12.56637061
0.62 1.543 12.56637061
0.58 1.446 12.56637061
0.55 1.353 12.56637061
0.51 1.265 12.56637061
0.47 1.181 12.56637061
0.44 1.101 12.56637061
0.409 1.024 12.56637061
0.38 0.951 12.56637061
0.35 0.881 12.56637061
0.319 0.815 12.56637061
0.293 0.753 12.56637061
0.26 0.694 12.56637061
0.238 0.64 12.56637061
0.213 0.589 12.56637061
0.187 0.542 12.56637061
0.161 0.499 12.56637061
0.137 0.459 12.56637061
0.114 0.423 12.56637061
0.093 0.39 12.56637061
0.073 0.361 12.56637061
0.057 0.337 12.56637061
0.042 0.315 12.56637061
0.029 0.297 12.56637061
0.02 0.283 12.56637061
0.011 0.272 12.56637061
我想要达到的结果
R2>0.99。需求给出z关于x和y的函数关系
