Many biological phenomenon are nonlinear and poorly approximated by linear regression. The program POLFIT calculates curvilinear regressions by fitting of orthogonal polynomials. This program, as well as two supporting programs (CORREC: disk storage, and CALCML: calculation of cumulated values of se
A BASIC program for orthogonal polynomials and retrieval of regression coefficients for original model
โ Scribed by Hugh Tyson; Mary Ann Fieldes
- Publisher
- Elsevier Science
- Year
- 1982
- Weight
- 352 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0010-468X
No coin nor oath required. For personal study only.
โฆ Synopsis
A fast, short method for calculating orthogonal polynomials has been programmed in BASIC. This is combined with the retrieval of b coefficients for the original, non-orthogonal model in, for example, a curvilinear regression. The program may be used alone, or in conjunction with a package of BASIC programs for weighted least-squares solutions, to which it forms an update. Transformation of the columns of an X, or design matrix, to orthogonal vectors can detect linear dependence among the columns, as well as supplying orthogonal polynomials for regression situations with unequal increments in x values, the values of the independent variable. Retrieval of the b coefficients for the original X matrix prior to transformation allows the user to insert any x values to obtain the corresponding predicted y (dependent variable) values.
๐ SIMILAR VOLUMES
We propose a method allowing the automatic exploitation of radioimmunoassay results. The standard curve is calculated according to two models; a linear model by Logit-Log transformation of data and another one using Fisher's orthogonal polynomials. The computer programs are written in FORTRAN IV.