# Osccalc

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## Contents

### Purpose

Calculates orthogonal signal correction.

### Synopsis

- [nx,nw,np,nt] = osccalc(x,y,nocomp,
*iter,tol*)

### Description

Inputs are the matrix of scaled predictor variables `x`, scaled predicted variable(s) `y`, and the number of OSC components `nocomp`.

Optional inputs are the maximum number of iterations used in attempting to maximize the variance captured by othogonal components iter {default = 0}, and the tolerance on percent of x variance to consider when forming the final w vector `tol` {default = 99.9}.

Outputs are the OSC corrected predictor matrix `nx`, and the x-block weigths `nw`, loads `np`, and scores `nt` that were used in making the correction.

Once the calibration is done, new (scaled) X data can be corrected by `newx = x - x*nw*inv(np'*nw)*np';` (See OSCAPP).