# .Least Cubic Method

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Least Square Method is method for data regression, but in actual application exsit Deduce the complicacy problem and the relativity is not high Problem etc.Least Cubic Method solves problems that Least Square Method data regression met in the regression of relating data. Since the computers are widely used and applied in experiment, designing and production, it makes the regression computation based on the theory of Least Cubic Method into reality. people can not only process the mechanism model through the regression linearization processing better, but can also give a sound mathematicalematical model to the relating data which can't deduce a mechanism models.

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• 1 month later...

I have a chart(as follows), want regression analysis to a model (formula), "Least Cubic Method" can do it?

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Hi sqh

Chart of you sent me at below, processing methods such as the following steps.

step 1: Confirm the factor value and goal calculating value (goal function).

Step 2: from the chart to Read abundance data.

Step 3: Use DRS software to enter data and Finally dimension as the objective function.

Step 4: Calculation of regression.

Format of enter data(factor value1,factor value2,goal function)

150 200 200

100 3 300

300 45 400

..... ..... .....

200 0.7 450

300 0.8 600

300 0.025 700

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• 2 months later...

QUOTE (eaihua @ May 1 2008, 11:44 PM)

Least Square Method is method for data regression, but in actual application exsit Deduce the complicacy problem and the relativity is not high Problem etc.Least Cubic Method solves problems that Least Square Method data regression met in the regression of relating data. Since the computers are widely used and applied in experiment, designing and production, it makes the regression computation based on the theory of Least Cubic Method into reality. people can not only process the mechanism model through the regression linearization processing better, but can also give a sound mathematicalematical model to the relating data which can't deduce a mechanism models.

I have the 8-dimensional data，Regression model can it?

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