quadratic.fit: Quadratic Fit
In cta: Contingency Table Analysis Based on ML Fitting of MPH Models

Description Usage Arguments Value Author(s) See Also Examples

Fits a quadratic curve that passes all three points on the two-dimensional Euclidean space R^2.

If the design matrix X of the quadratic fit has a condition number which is greater than 10^8, a linear regression line is fitted to the three points instead.

1	quadratic.fit(x, y)

`x`	A vector of length three, which represents the x-values of the three points.
`y`	A vector of length three, which represents the y-values of the three points.

quadratic.fit returns a vector of length three. The first, second, and third elements of the returned vector are the second degree, first degree, and zero-th degree coefficients, respectively, of the fitted quadratic curve, or of the fitted linear regression line.

Qiansheng Zhu

solve_quadratic