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      <h1> Indeterminate order rate equation kinetics </h1>

<div class="row">
  <div class="span8">
    <h2>Usage</h2>
    <pre><div>IORE.solution(t, parent.0, k__iore, N)</div></pre>
    
    <h2>Arguments</h2>
    <dl>
      <dt>t</dt>
      <dd> Time. </dd>
      <dt>parent.0</dt>
      <dd> Starting value for the response variable at time zero. </dd>
      <dt>k__iore</dt>
      <dd> Rate constant. Note that this depends on the concentration units used. </dd>
      <dt>N</dt>
      <dd> Exponent describing the nonlinearity of the rate equation </dd>
    </dl>
    
    <div class="Description">
      <h2>Description</h2>

      <p>Function describing exponential decline from a defined starting value, with 
  a concentration dependent rate constant.</p>
  
    </div>

    <div class="Note">
      <h2>Note</h2>

      <p>The solution of the IORE kinetic model reduces to the
  <code><a href='SFO.solution.html'>SFO.solution</a></code> if N = 1.
  The parameters of the IORE model can be transformed to equivalent parameters
  of the FOMC mode - see the NAFTA guidance for details.</p>
  
    </div>

    <div class="Value">
      <h2>Value</h2>

      <p><dl>
  The value of the response variable at time <code>t</code>.
</dl></p>
  
    </div>

    <div class="References">
      <h2>References</h2>

      <p>NAFTA Technical Working Group on Pesticides (not dated) Guidance for
  Evaluating and Calculating Degradation Kinetics in Environmental 
  Media</p>
  
    </div>
    
    <h2 id="examples">Examples</h2>
    <pre class="examples"><div class='input'>  plot(function(x) IORE.solution(x, 100, 0.2, 1.3), 0, 2, 
	                               ylim = c(0, 100))
</div>
<p><img src='IORE.solution-2.png' alt='' width='540' height='400' /></p>
<div class='input'>  fit.fomc &lt;- mkinfit(&quot;FOMC&quot;, FOCUS_2006_C, quiet = TRUE)
  fit.iore &lt;- mkinfit(&quot;IORE&quot;, FOCUS_2006_C, quiet = TRUE)
  fit.iore.deS &lt;- mkinfit(&quot;IORE&quot;, FOCUS_2006_C, solution_type = &quot;deSolve&quot;, quiet = TRUE)

  print(data.frame(coef(fit.fomc), coef(fit.iore), coef(fit.iore.deS), 
                   row.names = paste(&quot;model par&quot;, 1:3)))
</div>
<div class='output'>            coef.fit.fomc. coef.fit.iore. coef.fit.iore.deS.
model par 1    85.87489063      85.874891          85.874890
model par 2     0.05192238      -4.826631          -4.826631
model par 3     0.65096665       1.949403           1.949403
</div>
<div class='input'>  print(rbind(fomc = endpoints(fit.fomc)$distimes, iore = endpoints(fit.iore)$distimes, 
              iore.deS = endpoints(fit.iore)$distimes))
</div>
<div class='output'>             DT50    DT90 DT50back
fomc     1.785233 15.1479 4.559973
iore     1.785233 15.1479 4.559973
iore.deS 1.785233 15.1479 4.559973
</div></pre>
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