﻿<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<?application progid="SMath Studio Desktop" version="0.99.6988.37575"?>
<worksheet xmlns="http://smath.info/schemas/worksheet/1.0">
  <settings ppi="96">
    <identity>
      <id>c005ffa1-4c53-4e23-accf-dc869bfffff0</id>
      <revision>5</revision>
    </identity>
    <calculation>
      <precision>3</precision>
      <exponentialThreshold>5</exponentialThreshold>
      <trailingZeros>false</trailingZeros>
      <significantDigitsMode>true</significantDigitsMode>
      <roundingMode>0</roundingMode>
      <fractions>decimal</fractions>
    </calculation>
    <pageModel active="false" viewMode="2" printGrid="false" printAreas="true" simpleEqualsOnly="false" printBackgroundImages="true">
      <paper id="1" orientation="Portrait" width="850" height="1100" />
      <margins left="39" right="39" top="39" bottom="39" />
      <header alignment="Center" color="#a9a9a9">&amp;[DATE] &amp;[TIME] - &amp;[FILENAME]</header>
      <footer alignment="Center" color="#a9a9a9">&amp;[PAGENUM] / &amp;[COUNT]</footer>
      <backgrounds />
    </pageModel>
    <dependencies>
      <assembly name="SMath Studio Desktop" version="0.99.6988.37575" guid="a37cba83-b69c-4c71-9992-55ff666763bd" />
      <assembly name="SpecialFunctions" version="1.12.6988.37575" guid="2814e667-4e12-48b1-8d51-194e480eabc5" />
      <assembly name="MaximaPlugin" version="1.98.6965.1979" guid="44011c1e-5d0d-4533-8e68-e32b5badce41" />
      <assembly name="TextRegion" version="1.11.6988.37575" guid="485d28c5-349a-48b6-93be-12a35a1c1e39" />
      <assembly name="Area Region" version="0.99.6988.37575" guid="4974b228-4974-44cf-8274-bf2936b4a766" />
      <assembly name="PlotRegion" version="1.11.6988.37575" guid="c451c2b5-798b-4f08-b9ec-b90963d1ddaa" />
    </dependencies>
  </settings>
  <regions type="content">
    <region id="0" left="0" top="0" width="18" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
      <math>
        <input>
          <e type="operand">1</e>
        </input>
      </math>
    </region>
    <region id="1" left="36" top="18" width="295" height="68" color="#0000ff" bgColor="#ffffff" fontSize="12">
      <text lang="eng">
        <p bold="true">Fitting function to data 
-many independent variables, 
-linear in parameters</p>
      </text>
    </region>
    <region id="2" left="90" top="90" width="119" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
      <text lang="eng">
        <p>//Independent</p>
      </text>
    </region>
    <region id="3" left="243" top="90" width="103" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
      <text lang="eng">
        <p>//Dependent</p>
      </text>
    </region>
    <region id="4" left="36" top="117" width="101" height="297" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">Re</e>
          <e type="operand">49000</e>
          <e type="operand">68600</e>
          <e type="operand">84800</e>
          <e type="operand">34200</e>
          <e type="operand">22900</e>
          <e type="operand">1321</e>
          <e type="operand">931</e>
          <e type="operand">518</e>
          <e type="operand">346</e>
          <e type="operand">122.9</e>
          <e type="operand">54</e>
          <e type="operand">84.6</e>
          <e type="operand">1249</e>
          <e type="operand">1021</e>
          <e type="operand">465</e>
          <e type="operand">54.8</e>
          <e type="operand">16</e>
          <e type="operand">1</e>
          <e type="function" args="18">mat</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="5" left="126" top="117" width="101" height="297" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">Pr</e>
          <e type="operand">2.3</e>
          <e type="operand">2.28</e>
          <e type="operand">2.27</e>
          <e type="operand">2.32</e>
          <e type="operand">2.36</e>
          <e type="operand">246</e>
          <e type="operand">247</e>
          <e type="operand">251</e>
          <e type="operand">273</e>
          <e type="operand">1518</e>
          <e type="operand">1590</e>
          <e type="operand">1521</e>
          <e type="operand">107.4</e>
          <e type="operand">186</e>
          <e type="operand">414</e>
          <e type="operand">1302</e>
          <e type="operand">16</e>
          <e type="operand">1</e>
          <e type="function" args="18">mat</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="6" left="225" top="117" width="101" height="297" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">Nu</e>
          <e type="operand">277</e>
          <e type="operand">348</e>
          <e type="operand">421</e>
          <e type="operand">223</e>
          <e type="operand">177</e>
          <e type="operand">114.8</e>
          <e type="operand">95.9</e>
          <e type="operand">68.3</e>
          <e type="operand">49.1</e>
          <e type="operand">56</e>
          <e type="operand">39.9</e>
          <e type="operand">47</e>
          <e type="operand">94.2</e>
          <e type="operand">99.9</e>
          <e type="operand">83.1</e>
          <e type="operand">35.9</e>
          <e type="operand">16</e>
          <e type="operand">1</e>
          <e type="function" args="18">mat</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="7" left="36" top="423" width="521" height="40" color="#000000" bgColor="#ffffff" fontSize="10">
      <text lang="eng">
        <p>//The expression we are interested in
//Pr,Re-independent variables, b-vector of unknown parameters  </p>
      </text>
    </region>
    <region id="8" left="36" top="468" width="284" height="34" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">Nu</e>
          <e type="function" args="1">ln</e>
          <e type="operand">b</e>
          <e type="operand">1</e>
          <e type="function" args="2">el</e>
          <e type="operand">b</e>
          <e type="operand">2</e>
          <e type="function" args="2">el</e>
          <e type="operand">Re</e>
          <e type="function" args="1">ln</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operand">b</e>
          <e type="operand">3</e>
          <e type="function" args="2">el</e>
          <e type="operand">Pr</e>
          <e type="function" args="1">ln</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operator" args="2">≡</e>
        </input>
      </math>
    </region>
    <region id="9" left="36" top="504" width="357" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
      <text lang="eng">
        <p>//Transforming original dependent variable</p>
      </text>
    </region>
    <region id="10" left="45" top="531" width="196" height="55" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">i</e>
          <e type="operand">1</e>
          <e type="operand">Nu</e>
          <e type="function" args="1">length</e>
          <e type="function" args="2">range</e>
          <e type="operand">y</e>
          <e type="operand">i</e>
          <e type="function" args="2">el</e>
          <e type="operand">Nu</e>
          <e type="operand">i</e>
          <e type="function" args="2">el</e>
          <e type="function" args="1">ln</e>
          <e type="operator" args="2">:</e>
          <e type="function" args="3">for</e>
        </input>
      </math>
    </region>
    <region id="11" left="36" top="585" width="283" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
      <text lang="eng">
        <p>//Matrix of independent variables</p>
      </text>
    </region>
    <region id="12" left="45" top="612" width="165" height="26" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">xx</e>
          <e type="operand">Re</e>
          <e type="operand">Pr</e>
          <e type="function" args="2">augment</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="13" left="36" top="648" width="470" height="40" color="#000000" bgColor="#ffffff" fontSize="10">
      <text lang="eng">
        <p>//from the function above we construct a vector function
//with vector argument</p>
      </text>
    </region>
    <region id="14" left="36" top="693" width="130" height="85" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">x</e>
          <e type="function" args="1">φ</e>
          <e type="operand">1</e>
          <e type="operand">x</e>
          <e type="operand">1</e>
          <e type="function" args="2">el</e>
          <e type="function" args="1">ln</e>
          <e type="operand">x</e>
          <e type="operand">2</e>
          <e type="function" args="2">el</e>
          <e type="function" args="1">ln</e>
          <e type="operand">3</e>
          <e type="operand">1</e>
          <e type="function" args="5">mat</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="15" left="27" top="774" width="119" height="26" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">n</e>
          <e type="operand">Nu</e>
          <e type="function" args="1">length</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="16" left="144" top="774" width="136" height="28" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">k</e>
          <e type="operand">x</e>
          <e type="function" args="1">φ</e>
          <e type="function" args="1">length</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="17" left="27" top="801" width="64" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">n</e>
        </input>
        <result action="numeric">
          <e type="operand">16</e>
        </result>
      </math>
    </region>
    <region id="18" left="144" top="801" width="56" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">k</e>
        </input>
        <result action="numeric">
          <e type="operand">3</e>
        </result>
      </math>
    </region>
    <region id="19" left="36" top="837" width="274" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
      <text lang="eng">
        <p>//X-matrix, matrix of experiment</p>
      </text>
    </region>
    <region id="20" left="45" top="864" width="189" height="110" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">j</e>
          <e type="operand">1</e>
          <e type="operand">k</e>
          <e type="function" args="2">range</e>
          <e type="operand">i</e>
          <e type="operand">1</e>
          <e type="operand">n</e>
          <e type="function" args="2">range</e>
          <e type="operand">X</e>
          <e type="operand">i</e>
          <e type="operand">j</e>
          <e type="function" args="3">el</e>
          <e type="operand">xx</e>
          <e type="operand">i</e>
          <e type="operand">1</e>
          <e type="function" args="3">el</e>
          <e type="operand">xx</e>
          <e type="operand">i</e>
          <e type="operand">2</e>
          <e type="function" args="3">el</e>
          <e type="operand">2</e>
          <e type="operand">1</e>
          <e type="function" args="4">mat</e>
          <e type="function" args="1">φ</e>
          <e type="operand">j</e>
          <e type="function" args="2">el</e>
          <e type="operator" args="2">:</e>
          <e type="function" args="3">for</e>
          <e type="function" args="3">for</e>
        </input>
      </math>
    </region>
    <region id="21" left="45" top="963" width="78" height="33" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">Φ</e>
          <e type="operand">X</e>
          <e type="function" args="1">transpose</e>
          <e type="operand">X</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="22" left="135" top="963" width="78" height="33" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">d</e>
          <e type="operand">X</e>
          <e type="function" args="1">transpose</e>
          <e type="operand">y</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="23" left="45" top="999" width="135" height="35" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">b</e>
          <e type="operand">Φ</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operator" args="2">^</e>
          <e type="function" args="1">eval</e>
          <e type="operand">d</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="24" left="45" top="1044" width="115" height="63" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">b</e>
        </input>
        <result action="numeric">
          <e type="operand">0.412</e>
          <e type="operator" args="1">-</e>
          <e type="operand">0.5395</e>
          <e type="operand">0.2454</e>
          <e type="operand">3</e>
          <e type="operand">1</e>
          <e type="function" args="5">mat</e>
        </result>
      </math>
    </region>
    <region id="25" left="162" top="1053" width="283" height="40" color="#000000" bgColor="#ffffff" fontSize="10">
      <text lang="eng">
        <p>//Unknown parameters
//found in the least-square sense</p>
      </text>
    </region>
    <region id="26" left="45" top="1116" width="193" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
      <text lang="eng">
        <p>//Calculated Nu-values</p>
      </text>
    </region>
    <region id="27" left="45" top="1143" width="213" height="37" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">x</e>
          <e type="function" args="1">Nucalc</e>
          <e type="operand">e</e>
          <e type="operand">b</e>
          <e type="operand">x</e>
          <e type="function" args="1">φ</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">^</e>
          <e type="function" args="1">eval</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="28" left="54" top="1179" width="202" height="85" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">i</e>
          <e type="operand">1</e>
          <e type="operand">Nu</e>
          <e type="function" args="1">length</e>
          <e type="function" args="2">range</e>
          <e type="operand">Nuc</e>
          <e type="operand">i</e>
          <e type="function" args="2">el</e>
          <e type="operand">xx</e>
          <e type="operand">i</e>
          <e type="operand">1</e>
          <e type="function" args="3">el</e>
          <e type="operand">xx</e>
          <e type="operand">i</e>
          <e type="operand">2</e>
          <e type="function" args="3">el</e>
          <e type="operand">2</e>
          <e type="operand">1</e>
          <e type="function" args="4">mat</e>
          <e type="function" args="1">Nucalc</e>
          <e type="operator" args="2">:</e>
          <e type="function" args="3">for</e>
        </input>
      </math>
    </region>
    <region id="29" left="72" top="1260" width="94" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
      <text lang="eng">
        <p>Calculated</p>
      </text>
    </region>
    <region id="30" left="216" top="1260" width="52" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">Given</e>
        </input>
      </math>
    </region>
    <region id="31" left="360" top="1260" width="82" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
      <text lang="eng">
        <p>Plotting </p>
      </text>
    </region>
    <region id="32" left="45" top="1287" width="143" height="297" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">Nuc</e>
        </input>
        <result action="numeric">
          <e type="operand">275.6408</e>
          <e type="operand">329.8029</e>
          <e type="operand">369.3706</e>
          <e type="operand">227.513</e>
          <e type="operand">184.0116</e>
          <e type="operand">123.4589</e>
          <e type="operand">102.3223</e>
          <e type="operand">74.8695</e>
          <e type="operand">61.4754</e>
          <e type="operand">53.5773</e>
          <e type="operand">34.7711</e>
          <e type="operand">43.8216</e>
          <e type="operand">97.7416</e>
          <e type="operand">100.3158</e>
          <e type="operand">79.861</e>
          <e type="operand">33.3711</e>
          <e type="operand">16</e>
          <e type="operand">1</e>
          <e type="function" args="18">mat</e>
        </result>
      </math>
    </region>
    <region id="33" left="189" top="1287" width="111" height="297" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">Nu</e>
        </input>
        <result action="numeric">
          <e type="operand">277</e>
          <e type="operand">348</e>
          <e type="operand">421</e>
          <e type="operand">223</e>
          <e type="operand">177</e>
          <e type="operand">114.8</e>
          <e type="operand">95.9</e>
          <e type="operand">68.3</e>
          <e type="operand">49.1</e>
          <e type="operand">56</e>
          <e type="operand">39.9</e>
          <e type="operand">47</e>
          <e type="operand">94.2</e>
          <e type="operand">99.9</e>
          <e type="operand">83.1</e>
          <e type="operand">35.9</e>
          <e type="operand">16</e>
          <e type="operand">1</e>
          <e type="function" args="18">mat</e>
        </result>
      </math>
    </region>
    <region id="34" left="342" top="1287" width="181" height="26" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">NuNu</e>
          <e type="operand">Nu</e>
          <e type="operand">Nu</e>
          <e type="function" args="2">augment</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="35" left="342" top="1314" width="218" height="28" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">NuNu</e>
          <e type="operand">NuNu</e>
          <e type="operand">1</e>
          <e type="function" args="2">csort</e>
          <e type="function" args="1">eval</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="36" left="342" top="1359" width="197" height="26" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">NuNuc</e>
          <e type="operand">Nu</e>
          <e type="operand">Nuc</e>
          <e type="function" args="2">augment</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="37" left="342" top="1386" width="234" height="28" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">NuNuc</e>
          <e type="operand">NuNuc</e>
          <e type="operand">1</e>
          <e type="function" args="2">csort</e>
          <e type="function" args="1">eval</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="38" left="45" top="1593" width="350" height="233" color="#000000" bgColor="#ffffff" fontSize="10">
      <plot type="2d" render="lines" scale_x="0.0596192903354825" scale_y="0.0721393413059338" scale_z="0.0602215053893762" rotate_x="0" rotate_y="0" rotate_z="0" transpose_x="-131" transpose_y="-123" transpose_z="0">
        <input>
          <e type="operand">NuNu</e>
          <e type="operand">NuNuc</e>
          <e type="operand">2</e>
          <e type="operand">1</e>
          <e type="function" args="4">sys</e>
        </input>
      </plot>
    </region>
    <region id="39" left="414" top="1602" width="49" height="24" color="#0000ff" bgColor="#ffffff" fontSize="10">
      <text lang="eng">
        <p>Data </p>
      </text>
    </region>
    <region id="40" left="414" top="1638" width="60" height="24" color="#ff0000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">Fitted</e>
        </input>
      </math>
    </region>
    <region id="41" left="63" top="2025" width="295" height="68" color="#0000ff" bgColor="#ffffff" fontSize="12">
      <text lang="eng">
        <p bold="true">Fitting function to data 
-many independent variables, 
-nonlinear on parameters</p>
      </text>
    </region>
    <region id="42" left="72" top="2133" width="263" height="43" color="#000000" bgColor="#ffffff" fontSize="10">
      <math decimalPlaces="4" significantDigitsMode="false">
        <input>
          <e type="operand">Nu</e>
          <e type="operand">e</e>
          <e type="operand">b</e>
          <e type="operand">1</e>
          <e type="function" args="2">el</e>
          <e type="operand">b</e>
          <e type="operand">2</e>
          <e type="function" args="2">el</e>
          <e type="operand">Re</e>
          <e type="function" args="1">ln</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operand">b</e>
          <e type="operand">3</e>
          <e type="function" args="2">el</e>
          <e type="operand">Pr</e>
          <e type="function" args="1">ln</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operator" args="2">^</e>
          <e type="operator" args="2">≡</e>
        </input>
      </math>
    </region>
    <region id="43" left="72" top="2187" width="135" height="31" color="#ff0000" bgColor="#ffffff" fontSize="14">
      <text lang="eng">
        <p>UNSOLVED  !</p>
      </text>
    </region>
    <region id="44" left="333" top="2196" width="381" height="26" color="#000000" bgColor="#ffffff" fontSize="10">
      <math>
        <input>
          <e type="operand" style="string">restart</e>
          <e type="function" args="1">MaximaControl</e>
        </input>
        <result action="numeric">
          <e type="operand" style="string">Restart complete.</e>
        </result>
      </math>
    </region>
    <region id="45" left="27" top="2223" width="211" height="26" color="#000000" bgColor="#ffffff" fontSize="10">
      <math>
        <input>
          <e type="operand">Data</e>
          <e type="operand">Re</e>
          <e type="operand">Pr</e>
          <e type="operand">Nu</e>
          <e type="function" args="3">augment</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region id="46" left="486" top="2241" width="20" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
      <math>
        <input>
          <e type="operand">b</e>
        </input>
      </math>
    </region>
    <region id="47" left="27" top="2250" width="179" height="26" color="#000000" bgColor="#ffffff" fontSize="10">
      <math>
        <input>
          <e type="operand">Nu</e>
          <e type="operand">Re</e>
          <e type="operand">Pr</e>
          <e type="function" args="3">Clear</e>
        </input>
        <result action="numeric">
          <e type="operand">1</e>
        </result>
      </math>
    </region>
    <region id="48" left="18" top="2277" width="679" height="83" color="#000000" bgColor="#ffffff" fontSize="10">
      <math>
        <input>
          <e type="operand">L</e>
          <e type="operand">Data</e>
          <e type="operand">Re</e>
          <e type="operand">Pr</e>
          <e type="operand">Nu</e>
          <e type="operand">3</e>
          <e type="operand">1</e>
          <e type="function" args="5">sys</e>
          <e type="operand">Nu</e>
          <e type="operand">e</e>
          <e type="operand">b.1</e>
          <e type="operand">b.2</e>
          <e type="operand">Re</e>
          <e type="function" args="1">ln</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operand">b.3</e>
          <e type="operand">Pr</e>
          <e type="function" args="1">ln</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operator" args="2">^</e>
          <e type="operator" args="2">≡</e>
          <e type="operand">b.1</e>
          <e type="operand">b.2</e>
          <e type="operand">b.3</e>
          <e type="operand">3</e>
          <e type="operand">1</e>
          <e type="function" args="5">sys</e>
          <e type="operand">1</e>
          <e type="operand">1</e>
          <e type="operand">1</e>
          <e type="operand">3</e>
          <e type="operand">1</e>
          <e type="function" args="5">sys</e>
          <e type="function" args="5">Fit</e>
          <e type="operator" args="2">:</e>
        </input>
        <result action="none">
          <e type="operand">b.1</e>
          <e type="operand">1.797931887778111</e>
          <e type="operator" args="1">-</e>
          <e type="operator" args="2">≡</e>
          <e type="operand">b.2</e>
          <e type="operand">0.663547856259</e>
          <e type="operator" args="2">≡</e>
          <e type="operand">b.3</e>
          <e type="operand">0.3413769591083639</e>
          <e type="operator" args="2">≡</e>
          <e type="operand">3</e>
          <e type="operand">1</e>
          <e type="function" args="5">sys</e>
        </result>
      </math>
    </region>
    <region id="49" left="9" top="2358" width="159" height="63" color="#000000" bgColor="#ffffff" fontSize="10">
      <math>
        <input>
          <e type="operand">L</e>
          <e type="function" args="1">Assign</e>
        </input>
        <result action="numeric">
          <e type="operand">1.8</e>
          <e type="operator" args="1">-</e>
          <e type="operand">0.664</e>
          <e type="operand">0.341</e>
          <e type="operand">3</e>
          <e type="operand">1</e>
          <e type="function" args="5">sys</e>
        </result>
      </math>
    </region>
    <region id="50" left="9" top="2430" width="431" height="65" color="#000000" bgColor="#ffffff" fontSize="10">
      <math>
        <input>
          <e type="operand">Data</e>
          <e type="operand">Re</e>
          <e type="operand">Pr</e>
          <e type="operand">Nu</e>
          <e type="operand">3</e>
          <e type="operand">1</e>
          <e type="function" args="5">sys</e>
          <e type="operand">Nu</e>
          <e type="operand">e</e>
          <e type="operand">b.1</e>
          <e type="operand">b.2</e>
          <e type="operand">Re</e>
          <e type="function" args="1">ln</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operand">b.3</e>
          <e type="operand">Pr</e>
          <e type="function" args="1">ln</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operator" args="2">^</e>
          <e type="operator" args="2">≡</e>
          <e type="function" args="3">MSE</e>
        </input>
        <result action="numeric">
          <e type="operand">55.5</e>
        </result>
      </math>
    </region>
    <region id="51" left="0" top="2502" width="203" height="297" color="#000000" bgColor="#ffffff" fontSize="10">
      <math>
        <input>
          <e type="operand">Data</e>
        </input>
        <result action="numeric">
          <e type="operand">49000</e>
          <e type="operand">2.3</e>
          <e type="operand">277</e>
          <e type="operand">68600</e>
          <e type="operand">2.28</e>
          <e type="operand">348</e>
          <e type="operand">84800</e>
          <e type="operand">2.27</e>
          <e type="operand">421</e>
          <e type="operand">34200</e>
          <e type="operand">2.32</e>
          <e type="operand">223</e>
          <e type="operand">22900</e>
          <e type="operand">2.36</e>
          <e type="operand">177</e>
          <e type="operand">1320</e>
          <e type="operand">246</e>
          <e type="operand">115</e>
          <e type="operand">931</e>
          <e type="operand">247</e>
          <e type="operand">95.9</e>
          <e type="operand">518</e>
          <e type="operand">251</e>
          <e type="operand">68.3</e>
          <e type="operand">346</e>
          <e type="operand">273</e>
          <e type="operand">49.1</e>
          <e type="operand">123</e>
          <e type="operand">1520</e>
          <e type="operand">56</e>
          <e type="operand">54</e>
          <e type="operand">1590</e>
          <e type="operand">39.9</e>
          <e type="operand">84.6</e>
          <e type="operand">1520</e>
          <e type="operand">47</e>
          <e type="operand">1250</e>
          <e type="operand">107</e>
          <e type="operand">94.2</e>
          <e type="operand">1020</e>
          <e type="operand">186</e>
          <e type="operand">100</e>
          <e type="operand">465</e>
          <e type="operand">414</e>
          <e type="operand">83.1</e>
          <e type="operand">54.8</e>
          <e type="operand">1300</e>
          <e type="operand">35.9</e>
          <e type="operand">16</e>
          <e type="operand">3</e>
          <e type="function" args="50">mat</e>
        </result>
      </math>
    </region>
    <region id="52" left="207" top="2502" width="514" height="297" color="#000000" bgColor="#ffffff" fontSize="10">
      <math>
        <input>
          <e type="operand">Data</e>
          <e type="operand">Re</e>
          <e type="operand">Pr</e>
          <e type="operand">Nu</e>
          <e type="operand">3</e>
          <e type="operand">1</e>
          <e type="function" args="5">sys</e>
          <e type="operand">Nu</e>
          <e type="operand">e</e>
          <e type="operand">b.1</e>
          <e type="operand">b.2</e>
          <e type="operand">Re</e>
          <e type="function" args="1">ln</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operand">b.3</e>
          <e type="operand">Pr</e>
          <e type="function" args="1">ln</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operator" args="2">^</e>
          <e type="operator" args="2">≡</e>
          <e type="function" args="3">Residuals</e>
        </input>
        <result action="numeric">
          <e type="operand">7.99</e>
          <e type="operator" args="1">-</e>
          <e type="operand">7.22</e>
          <e type="operator" args="1">-</e>
          <e type="operand">12.7</e>
          <e type="operand">2.15</e>
          <e type="operator" args="1">-</e>
          <e type="operand">3.45</e>
          <e type="operand">12.9</e>
          <e type="operator" args="1">-</e>
          <e type="operand">5.5</e>
          <e type="operator" args="1">-</e>
          <e type="operand">0.795</e>
          <e type="operator" args="1">-</e>
          <e type="operand">5.3</e>
          <e type="operator" args="1">-</e>
          <e type="operand">6.83</e>
          <e type="operand">11</e>
          <e type="operand">8.6</e>
          <e type="operand">1.47</e>
          <e type="operand">2.05</e>
          <e type="operand">6.8</e>
          <e type="operand">8.6</e>
          <e type="operand">16</e>
          <e type="operand">1</e>
          <e type="function" args="18">mat</e>
        </result>
      </math>
    </region>
    <region id="53" left="9" top="3042" width="542" height="437" color="#000000" bgColor="#ffffff" fontSize="10">
      <maximaplugin>
        <ImageFile FileName="2h12yq2j.png" DataLenght="94555">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</ImageFile>
        <plotstore>
          <PlotStore xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="">
            <commandList>
              <string>terminal=pngcairo</string>
              <string>file_name="C:/FHB/Software/SMath/SMath 99.6988/extensions/plugins/44011c1e-5d0d-4533-8e68-e32b5badce41/GnuPlot/2h12yq2j"</string>
              <string>dimensions=[532,429]</string>
              <string>font="Arial"</string>
              <string>font_size=8</string>
              <string>title=""</string>
              <string>xu_grid=40</string>
              <string>yv_grid=40</string>
              <string>xlabel="x"</string>
              <string>ylabel="y"</string>
              <string>zlabel="z"</string>
            </commandList>
            <prambleList>
              <string>"set term pngcairo font ',8' enhanced size 532, 429"</string>
              <string>"set object 1 rectangle from screen -0.1,-0.1 to screen 1.1 ,1.1 fillcolor rgb'#ffffff' behind"</string>
              <string>"set encoding utf8"</string>
              <string>"set view 61, 312, 1, 1"</string>
            </prambleList>
            <plotType>plot3D</plotType>
            <titleDefault>SAMPLE PLOT</titleDefault>
            <title />
            <titleState>Custom</titleState>
            <border>Disable</border>
            <borderVal>4095</borderVal>
            <textSize>8</textSize>
            <textSizeState>Disable</textSizeState>
            <textFont>Arial</textFont>
            <contour>Disable</contour>
            <contourType />
            <contourLevels>5</contourLevels>
            <pm3d>Disable</pm3d>
            <pm3dpalette>[blue,red,green]</pm3dpalette>
            <gridXu>40</gridXu>
            <gridYv>40</gridYv>
            <gridState>Custom</gridState>
            <width>532</width>
            <height>429</height>
            <pictureSizeState>Interactive</pictureSizeState>
            <filename>C:/FHB/Software/SMath/SMath 99.6988/extensions/plugins/44011c1e-5d0d-4533-8e68-e32b5badce41/GnuPlot/2h12yq2j</filename>
            <termType>png</termType>
            <mapView>Disable</mapView>
            <xName>x</xName>
            <yName>y</yName>
            <zName>z</zName>
            <xNameS>Enable</xNameS>
            <yNameS>Enable</yNameS>
            <zNameS>Enable</zNameS>
            <xMinRange>-5</xMinRange>
            <xMaxRange>5</xMaxRange>
            <yMinRange>-5</yMinRange>
            <yMaxRange>5</yMaxRange>
            <zMinRange>-5</zMinRange>
            <zMaxRange>5</zMaxRange>
            <xRangeS>Disable</xRangeS>
            <yRangeS>Disable</yRangeS>
            <zRangeS>Disable</zRangeS>
            <xGrid>Disable</xGrid>
            <yGrid>Disable</yGrid>
            <zGrid>Disable</zGrid>
            <xLogarithmic>Disable</xLogarithmic>
            <yLogarithmic>Disable</yLogarithmic>
            <zLogarithmic>Disable</zLogarithmic>
            <xLogBase>10</xLogBase>
            <yLogBase>10</yLogBase>
            <zLogBase>10</zLogBase>
            <azimuth>312</azimuth>
            <zenith>61</zenith>
            <scalAzimuth>1</scalAzimuth>
            <scalZenith>1</scalZenith>
            <view>Interactive</view>
            <mouseRedirecting>Disable</mouseRedirecting>
            <varNameMouseX>MouseX3</varNameMouseX>
            <varNameMouseY>MouseY3</varNameMouseY>
            <varNameMouseWheel>MouseW3</varNameMouseWheel>
            <viewRedirecting>Disable</viewRedirecting>
            <varNameAzimuth>Azimut3</varNameAzimuth>
            <varNameZenith>Zenit3</varNameZenith>
            <xRedirecting>Disable</xRedirecting>
            <varNameXmin>MinX3</varNameXmin>
            <varNameXmax>MaxX3</varNameXmax>
            <yRedirecting>Disable</yRedirecting>
            <varNameYmin>MinY3</varNameYmin>
            <varNameYmax>MaxY3</varNameYmax>
            <zRedirecting>Disable</zRedirecting>
            <varNameZmin>MinZ3</varNameZmin>
            <varNameZmax>MaxZ3</varNameZmax>
            <option>border=true;</option>
          </PlotStore>
        </plotstore>
        <input>
          <e type="operand">e</e>
          <e type="operand">b.1</e>
          <e type="operand">b.2</e>
          <e type="operand">Re</e>
          <e type="function" args="1">ln</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operand">b.3</e>
          <e type="operand">Pr</e>
          <e type="function" args="1">ln</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operator" args="2">^</e>
          <e type="operand">Re</e>
          <e type="operand">1</e>
          <e type="operand">50000</e>
          <e type="operand">Pr</e>
          <e type="operand">1</e>
          <e type="operand">1600</e>
          <e type="function" args="7">explicit</e>
          <e type="operand">1</e>
          <e type="operand">1</e>
          <e type="function" args="3">sys</e>
        </input>
      </maximaplugin>
    </region>
  </regions>
</worksheet>