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Fit
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algorithm</FONT>
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Class Fit</H2>
<PRE>
java.lang.Object
<IMG SRC="../resources/inherit.gif" ALT="extended by"><B>algorithm.Fit</B>
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<DT>public class <B>Fit</B><DT>extends java.lang.Object</DL>
<P>
这个类是数据拟合所需用到的类，包括一元线性回归、多项式回归、多元线性回归、三次样条插值等。
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<DT><B>See Also:</B><DD><A HREF="../Modeling.html" title="class in "><CODE>Modeling</CODE></A>, <A HREF="../input/FitInput.html" title="class in input"><CODE>FitInput</CODE></A></DL>
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<TD><CODE><B><A HREF="../algorithm/Fit.html#Fit(double[][], double[])">Fit</A></B>(double[][] xMatrix, double[] yMatrix)</CODE>
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构造拟合与插值类。</TD>
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<CODE> double[]</CODE></FONT></TD>
<TD><CODE><B><A HREF="../algorithm/Fit.html#multiFit()">multiFit</A></B>()</CODE>
<BR>
多元线性回归。</TD>
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<CODE> double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../algorithm/Fit.html#rCoefficent()">rCoefficent</A></B>()</CODE>
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计算相关系数。</TD>
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<TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD>
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<A NAME="Fit(double[][], double[])"><!-- --></A><H3>
Fit</H3>
<PRE>
public <B>Fit</B>(double[][] xMatrix, double[] yMatrix)</PRE>
<DL>
<DD>构造拟合与插值类。
<P>
<DT><B>Parameters:</B><DD><CODE>xMatrix</CODE> - 自变量数据对应的矩阵，这个矩阵在Fit类中产生克隆副本，Fit的成员方法不会对该矩阵生产影响。<DD><CODE>yMatrix</CODE> - 因变量数据对应的矩阵，这个矩阵在Fit类中产生克隆副本，Fit的成员方法不会对该矩阵生产影响。</DL>
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<A NAME="multiFit()"><!-- --></A><H3>
multiFit</H3>
<PRE>
public double[] <B>multiFit</B>()</PRE>
<DL>
<DD>多元线性回归。
<P>
<DD><DL>
<DT><B>Returns:</B><DD>double[]类的实例，它的成员域length为n+2，其中前n+1个元素为回归方程中的系数A0、A1、A2……An。最后一个元素为相关系数，它越接近1，表示回归效果越显著。<p>如果数据错误以致生成的线性方程组无解则返回null。</DL>
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<A NAME="rCoefficent()"><!-- --></A><H3>
rCoefficent</H3>
<PRE>
public double <B>rCoefficent</B>()</PRE>
<DL>
<DD>计算相关系数。
<P>
<DD><DL>
<DT><B>Returns:</B><DD>回归分析的相关系数</DL>
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