You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: targetadj_real.m
    path of file: ./repos/acycle/code/corrcoef
    
    the code of the file until where you have to start completion: % Adjust target frequency using theored spetrum of data
% INPUT
%   target: 2 columns, target frequencies and their power
%   f:  frequency of data
%   power: power of data
%   sr:  sedimentation rates
% OUTPUT
%   nm: number of Milankovitch forcing not involved.
%   targ: adjusted target frequency using theored spetrum of data
% Mingsong Li @ Penn State June 2017
% Mingsong Li revised July 2017

function [targ] = targetadj_real(target,f,power,orbit7,rayleigh,sr)
%para = .1;  % amplitude of each frequency will be 0.1x previous frequency if it is NaN.
%para = 0.1 * max(power);  % amplitude of each frequency will be para if it is NaN.
para = 
    
function [targ] = targetadj_real(target,f,power,orbit7,rayleigh,sr)
%para = .1;  % amplitude of each frequency will be 0.1x previous frequency if it is NaN.
%para = 0.1 * max(power);  % amplitude of each frequency will be para if it is NaN.
para = 0;
orbit5 = [0;2/(orbit7(1)+orbit7(2));2/(orbit7(3)+orbit7(4));2/(orbit7(4)+orbit7(6));0.06];
%  spectrum of tuned series using sr (cm/kyr); f is cycles/m. Thus need a
%  100x
aimarx = f * sr / 100;  % transfer f in cycles/m to cycles/kyr.
aimpower = power';

p_orbit4 = zeros(4,1);

for i = 1 : 4
    ext =[];
    ext = find(and(aimarx > orbit5(i), aimarx <= orbit5(i+1)));
    pow = aimpower(ext);
    p_orbit4(i) = mean(pow(pow>=1));
    if isnan(p_orbit4(i))
        p_orbit4(i) = para;
    end