# Main Services

◆  make modeling more dimensions (more than five-dimensional) data and other special data regression.

◆  According to the user's requirements, the mechanism model , added to the software "DRS" in.

◆  Develop data regression analysis components (.Dll and .Ocx file), to meet the user needs of software development.

◆  undertake data analysis and its corresponding programming algorithm.

◆  undertake the preparation of data regression classes and class engineering calculation software. Two dimensions data model se rvice demo Three dimensions data model service demo Four  dimensions data model service demo  ◆ The relating Two dimensions data, as Curve chart 1-1 From the data checked in the curve chart 1-1 , the conclusions of the recursive model are as follows: The data return 1.0,8.2 2.0,4.6 3.0,4.3 4.0,4.6 5.0,5.1 6.0,5.5 7.0,5.7 8.0,5.5 9.0,5.0 10.0,3.8 ◆ The result of data return To the above data ,  the enhancement edition of the ‘data regression analysis system DRS’is used by you. You do the one element regression in which the sample quantity of the regression data is 10 groups. The corresponding data in the model chosen by you are the objective function Y, which are the second dimensional data in each group and the first dimensional data X1. Set initial value of the power to .49.  At present,  the best model to regress these data is  the one element nonlinear, three variant Ⅰ Correlation coefficient(R): 0.998440262665158 Statistical variable(F): 639.633664360148 Residue standard deviation(S): 8.20568908339411E-02 Biggest error: 0.100178925962695681378721421 Equal error: 0.0434778 Equal relating error: 0.0094209513911285916313423627                    The recursive models are as follows  y = a0 + a1 x1k1 + a2  x1k2 + a3  x1k3 Formula middle a0 = 53.0773524156633 a1 = -111.002257397679 a2 = 68.6071595939835 a3 = -2.48944355659807 k1 = .470000009536 k2 = .710000009536 k3 = 1.470000009536  The demo of three data recursive model ◆ The relating three dimensions data, as Curve chart 2-2 From the data checked in the curve chart 2-2, the conclusions of the recursive model are as follows: The data return 10,20,90 10,40,178 10,60,270 10,80,350 10,100,430 10,120,515 ..............(In the middle the data ellipsis) 70,200,990 80,100,920 80,120,955 80,140,1020 80,160,1055 80,180,1090 80,200,1120 ◆ The result of data return To the above data ,  the enhancement edition of the ‘data regression analysis system DRS’is used by you.  You do the one element regression in which the sample quantity of the regression data is 72 groups.  The corresponding data in the model chosen by you are the objective function Y, which are the three  dimensional data in each group and The first dimensional data X1 and the second dimensional data X2. Set initial value of the power to  1.871.  At present, the best model to regress these data is the one element nonlinear, three variant Ⅴ. Correlation coefficient(R):0.999391761013444 Statistical variable(F):8897.36657079412 Residue standard deviation(S): 10.0200437606299 Biggest error: 3.309665 Equal error: 0.0434778 Equal relating error:.0211348280652982339123964839 The recursive models are as follows y = a0 + a1  x1k1 + a2 x1k2 + a3  x2 k1 + a4  x2 k3 + a5  x1k4 x2 k5 + a6  x1k6 Log(x2) Formula middle a0 = 106.74503499072 a1 = -10.5248008279283   a2 = .174240332503716  a3 = 1.7623076630686  a4 = 2.68381176972421    a5 = -3.21815581782274E-06  a6 = -.511646453024215 k1 = .991000051498 k2 = 2.041000051498 k3 = .991000051498 k4 = 1.881000051498 k5 = 1.881000051498 k6 = .781000051498  ◆ Four  dimensions data: 65.7, 20, 56, 2.8 65.2, 20, 53, 2.8 65.4, 10, 52, 2.8 66.7, 10, 48, 2.8 67.2, 10, 47, 2.8 71.4, 10, 45, 2.8 73.4, 10, 45, 2.8 ..............(In the middle the data ellipsis) 87.8, 10, 9, 1.9 89.6, 10, 8, 1.9 88.6, 10, 8, 1.9 89.6, 10, 7, 1.9 88.8, 10, 6, 1.8 88.6, 10, 6, 1.8 ◆ y = a0 + a1  x1k1 + a2  x2 k2 + a3 x3 k3 + a4  x1k4  x2k5 + a5 x2 k5 * x3 k6 + a6 x1k1 * x2k2  x3k3 Formula middle a0 = .98681044401583 a1 = 7.06127446632436E-03  a2 = .190801629630409  a3 = 4.10554369554979E-02  a4 = -8.33265112895352E-03  a5 = -6.09571087259014E-03  a6 = 2.28798807062382E-05 k1 = 1.04000002384162  k2 = .940000023841624  k3 = .950000023841624  k4 = .730000023841624  k5 = .880000023841624  k6 = .86000002384162