public double[] power(double[,] x, double[] y, int variables, int watches)
{
double[] p = new double[watches];
for (int i = 0; i < watches; i++)
{
_1st_step.y1[i] = Math.Log(y[i]);
}
for (int i = 0; i < watches; i++)
{
_1st_step.x1[i, 1] = x[i, 1];
}
Regession sle = new Regession();
double[] b = sle.SLE(x, _1st_step.y1, variables, watches);
for (int i = 0; i < variables + 1; i++)
{
_1st_step.b0[i] = b[i];
}
for (int i = 0; i <= variables; i++)
{
b[i] = Math.Exp(b[i]);
}
for (int i = 0; i < watches; i++)
{
p[i] = b[0] * Math.Pow(b[1], x[i, 1]);
}
return(p);
}
public double[] repres(double[,] x, double[] y, int variables, int watches)
{
double[] p = new double[watches];
double[,] o = new double[watches, variables + 1];
for (int i = 0; i < watches; i++)
{
_1st_step.y1[i] = Math.Log(y[i]);
}
for (int i = 0; i < watches; i++)
{
for (int j = 0; j <= variables; j++)
{
_1st_step.x1[i, j] = Math.Log(x[i, j]);
}
_1st_step.x1[i, 0] = 1;
}
Regession sle = new Regession();
double[] b = sle.SLE(_1st_step.x1, _1st_step.y1, variables, watches);
for (int i = 0; i < variables + 1; i++)
{
_1st_step.b0[i] = b[i];
}
b[0] = Math.Exp(b[0]);
for (int i = 0; i < watches; i++)
{
p[i] = b[0] * Math.Pow(x[i, 1], b[1]);
}
return(p);
}
public double[] linear(double[,] x, double[] y, int variables, int watches)
{
double[] p = new double[watches];
Regession sle = new Regession();
double[] b = sle.SLE(x, y, variables, watches);
for (int i = 0; i < variables + 1; i++)
{
_1st_step.b0[i] = b[i];
}
for (int i = 0; i < watches; i++)
{
_1st_step.y1[i] = y[i];
}
for (int i = 0; i < watches; i++)
{
_1st_step.x1[i, 1] = x[i, 1];
}
for (int i = 0; i < watches; i++)
{
p[i] = 0;
for (int j = 0; j < b.Length; j++)
{
p[i] += x[i, j] * b[j];
}
}
return(p);
}