function [y, err, w] = mark_any(w, x)
% mark time series x, the dummy function 
%
% [idx, w, err] = mark_any(w, x)
%
% w [1,W] parameters of the model here y = x
% x [m,1] time series, the depended variable of the regression fit 
%
% y [m,1] the calculated depended variable
% err [scalar] the residual variance, MSE
% w [1,W] parameters of the function
%
% if the regression parameters are required, the Least Squares Method will
% be called, and the parameters will be returned together with new MSE.

% Example
% x = [1; 2; 3; 4; 5]
% [y, err] = mark_lin([], x)
% [y, err, w] = mark_lin([], x)

y = x;
err = 0;
w = [];
return