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package com.actelion.research.calc.regression.linear.pls;

import com.actelion.research.calc.regression.ConstantsRegressionMethods;
import com.actelion.research.calc.regression.ParameterRegressionMethod;

import java.io.File;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.util.List;
import java.util.Properties;

/**
 * ParameterPLS
 * 

Modest v. Korff

*

* Created by korffmo1 on 06.12.18. */ public class ParameterPLS extends ParameterRegressionMethod { public static final int FACTORS= 3; public static final String TAG_FACTORS="Factors"; public static final boolean CENTER_DATA = true; protected int factors; private boolean centerData; public ParameterPLS() { super(ConstantsRegressionMethods.MODEL_PLS); setFactors(FACTORS); centerData = CENTER_DATA; } public ParameterPLS(int factors) { super(ConstantsRegressionMethods.MODEL_PLS); setFactors(factors); centerData = CENTER_DATA; } public ParameterPLS(ParameterPLS p) { super(p); copy(p); } public void copy(ParameterPLS orig){ super.copy(orig); setFactors(orig.getFactors()); setCenterData(orig.isCenterData()); } @Override public boolean equals(Object obj) { if(!(obj instanceof ParameterPLS)){ return false; } boolean eq = true; ParameterPLS p = (ParameterPLS)obj; if(!getName().equals(p.getName())){ eq = false; } if(getFactors() != p.getFactors()){ eq = false; } return eq; } /** * For inheritance of BxCox power transformation. * @param name * @param factors */ protected ParameterPLS(String name, int factors) { super(name); setFactors(factors); centerData = CENTER_DATA; } public int getFactors() { return factors; } public void setFactors(int factors) { this.factors = factors; properties.put(TAG_FACTORS, Integer.toString(factors)); } public boolean isCenterData() { return centerData; } public void setCenterData(boolean centerData) { this.centerData = centerData; } @Override protected void decodeProperties2Parameter() { factors = Integer.parseInt(properties.getProperty(TAG_FACTORS)); } @Override public int compareTo(ParameterRegressionMethod o) { int cmp = 0; ParameterPLS parameterPLS = (ParameterPLS)o; if(factors>parameterPLS.factors) { cmp=1; }else if(factors





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