以下数据用什么模型来拟合比较合适?。

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你是想分别求x-y1,x-y2,..., x-y9的拟合关系式?下面公式试试:
y = p1+p2/x+p3/x^2
1:x-y1
Root of Mean Square Error (RMSE): 0.167713419624937
Sum of Squared Residual: 0.393789075712062
Correlation Coef. (R): 0.99864784881909
R-Square: 0.997297525950996
Adjusted R-Square: 0.996806167032996
Determination Coef. (DC): 0.997297525950996
F-Statistic: 2029.67217950097
Parameter Best Estimate
-------------------- -------------
p1 182.144884920966
p2 -319.128191233479
p3 3099.14063792061
2:x-y2:
Root of Mean Square Error (RMSE): 0.313447708170508
Sum of Squared Residual: 1.37549252060282
Correlation Coef. (R): 0.995768041912646
R-Square: 0.991553993294545
Adjusted R-Square: 0.990018355711735
Determination Coef. (DC): 0.991553993294544
F-Statistic: 645.695315343574
Parameter Best Estimate
-------------------- -------------
p1 155.909879177226
p2 -250.802058009908
p3 2727.08052947327
3: x-y3:
Root of Mean Square Error (RMSE): 0.290215895881705
Sum of Squared Residual: 1.17915372711389
Correlation Coef. (R): 0.997005993845574
R-Square: 0.994020951764
Adjusted R-Square: 0.992933852084728
Determination Coef. (DC): 0.994020951764001
F-Statistic: 914.378847409433
Parameter Best Estimate
-------------------- -------------
p1 131.12495250307
p2 -330.031642085175
p3 3343.92561267914
....

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