Depend on parallel, doc improvements

By depending on parallel instead of importing it, functions to set up
and stop a cluster are always available when mkin is loaded.

The use of multicore processing in mmkin on Windows is now documented in
the help file, which brings mkin closer to a version 1.0 #9.

3 files changed, 171 insertions, 96 deletions

diff --git a/vignettes/FOCUS_D.html b/vignettes/FOCUS_D.html
index 8aec3a45..8ebd1047 100644
--- a/vignettes/FOCUS_D.html
+++ b/vignettes/FOCUS_D.html
@@ -11,7 +11,7 @@
 
 <meta name="author" content="Johannes Ranke" />
 
-<meta name="date" content="2020-10-14" />
+<meta name="date" content="2020-11-19" />
 
 <title>Example evaluation of FOCUS Example Dataset D</title>
 
@@ -209,6 +209,45 @@ color: #d14;
 }
 </style>
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   code{white-space: pre-wrap;}
@@ -217,7 +256,7 @@ color: #d14;
   div.column{display: inline-block; vertical-align: top; width: 50%;}
   div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
   ul.task-list{list-style: none;}
-      </style>
+    </style>
 
 <style type="text/css">code{white-space: pre;}</style>
 <style type="text/css">
@@ -374,7 +413,7 @@ summary {
 
 <h1 class="title toc-ignore">Example evaluation of FOCUS Example Dataset D</h1>
 <h4 class="author">Johannes Ranke</h4>
-<h4 class="date">2020-10-14</h4>
+<h4 class="date">2020-11-19</h4>
 
 </div>
 
@@ -440,20 +479,18 @@ print(FOCUS_2006_D)</code></pre>
 <pre class="r"><code>fit &lt;- mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE)</code></pre>
 <pre><code>## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE): Observations with value
 ## of zero were removed from the data</code></pre>
-<pre><code>## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE): Shapiro-Wilk test for
-## standardized residuals: p = 0.0165</code></pre>
 <p>A plot of the fit including a residual plot for both observed variables is obtained using the <code>plot_sep</code> method for <code>mkinfit</code> objects, which shows separate graphs for all compounds and their residuals.</p>
 <pre class="r"><code>plot_sep(fit, lpos = c(&quot;topright&quot;, &quot;bottomright&quot;))</code></pre>
-<p><img 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VZbWVkVFBSYmpp269Zt7dq1I0eODAwM3L59e79+/eQOCwAAZJCYmJiQkKBWq9VqdU5OjrW1tY2NjbW1tYWFhdzRAABAxVF+ASSEqFWrVufOnQ8dOiR3kLK3c+fOxMREV1fXFStWPHr0SAihUqkMDAxSUlK2b9++Y8eOrl27/vnnn6tXr6YAAgCgSnny5MnKlSu3bdv2skNCGzZsOGDAgAkTJhgbG1dwNgAAUPGqym1BLi4uckcoF8ePHxdCREZGPnr0yN7eXggxderUjIyMe/fuzZw5U09P788//9TR0QkJCUlPT5c7LAAAqCDBwcGOjo5z584t2v7o6enp6ekVfhsVFTVnzhxHR8cLFy7IkREAAFSoqlIAjR07NiAgQKpIlCQ+Pl4IkZub++WXX/r5+Qkhbt++LYSwtbWdP3/+n3/+qa+vn5eXV1BQoFarZc4KAAAqRGxsbPfu3ZOSkgwMDAYMGPD777/fvXs3LS0tOzs7Ozs7LS3t7t27gYGBX3zxhampaWJiooeHB58TAABQvKpSANnb23/88cfKu8I5IyNDCGFtbb1mzRonJychREREROGjnTp1mjNnjvS1kZGRHAEBAEBFW7JkSWpqqoWFxZkzZ7Zs2dKrVy87O7vCTwJGRkZ2dnaenp4//fTT5cuXHR0dHz9+vHjxYnkzAwCA8lZVCiClysvLE0LY29vr6uo6OjqqVKqoqKiCgoLCCR06dJC+UF75BQBVyvvvv69SqZYvXy53ELwFpH0PFy5c6O7u/uqZtra2P/74oxAiMDCwIpIBAAD5UAC93fT19YUQFy5cuH37tpGRkaWlZVZW1v3796VHNRrNokWLpK8fPHggW0oASnTv3r3p06e3aNGibt26dnZ2PXr0+O9//yu10gDklZCQIIr8J9CrtWnTRltbOy4urpxDAQAAmVEAvd1q1aolhMjOzv74448jIiIcHR2FENJ2jzk5OaNHjz548KCWlpYQQldXV96oAJRkxYoVTk5OS5YsCQ0NTUxMvHfvXkBAwODBg93d3ZNslw8AACAASURBVF923hCACiPd7RUTE1OSyfHx8fn5+VwpDACA4lEAvd2kxsfS0vL27dtNmzaV/sdv27Ztc+fOdXFxWbduXbVq1TQajbGxsZWVldxhASiEn5/fxIkTc3JyBg0adOrUqcTExLt3727cuNHR0TE8PLx9+/Z37tyRO2PFuXv37vbt269fvy53EOD/NG/eXAixdu3aklyU5+/vL4Ro0aJFuccCAACyogB6u3l7ewshcnNzBw4cmJ+fL/3H+6ZNm+bMmXPnzp2mTZt+/PHHGo2mR48eOjo6cocFoAQhISGzZs3S1tbesWPHL7/80rFjxzp16tjZ2Q0dOvTy5cvdu3d/9OjRwIED5Y4ppkyZolKplixZotFofv755zZt2hgbG9eqVatjx44bNmwouldaoYcPH86ePbtly5Z169atXr26g4ODh4fHrl278vPzi06Ljo5WqVTSsZKLFi1ydHTs27fvjh07is75448/evbsKa3j5OQ0aNCg0NDQYi8nrVOvXj0hxP3790eOHGlrayvNHz58eGxsbOHMgQMHqlSqkydPCiEmT56sUqm6du1aNj8mKNSYMWOEEPv27fPy8jp79qxGo3nhtNDQ0P79+0sF0OjRoys0IgAAqHCUAm+3995774MPPjh+/HhsbGxISMjq1as3b95ct27dfv36devW7fbt2+PGjdPV1Z0xY4bcSQEoxIIFCzQazdSpUz/55JNiD9WoUWPbtm1OTk7BwcHHjh378MMPZUlYVH5+fp8+fXbv3m1mZtayZcuIiIgzZ86cOXNm165d+/btq169euHMiIiINm3aPHnypHDkzp07d+7c+fPPP/v27bt161aVSlVs8fXr13/zzTfS14WPShdGFe2DIiMjIyMjt2zZsmDBgsL5RV25cqVr167Gxsbvv/9+dnZ2UFDQzz//vGfPnsuXL9vZ2QkhbG1t3d3do6KiMjIyrKys6tSp4+DgUDY/IChUz549x40b5+/vHxQUFBQUZGlp2bRpUzMzM3Nzc5VKlZycnJycHB4eXtgzjh8/3svLS97MAACg3Gkgt8mTJwshrK2t3+zpcXFx1tbW0gpTp04VQtjY2OzZs8fDw0MIoVKp1q1bV7aBAbxdpMN9PD09S79UVlaWvr6+trb2w4cPXzZn9uzZQohx48aV/uVKQ/qj1dLSUktLa8WKFQUFBdL4/v37pb1Opk+fXnR+s2bNhBC2trbbt2+PiYlJSkoKCQkZMmSI9HflkSNHCmdGRUUJIYyNjQ0MDFxcXPbv33///v3CR6XLKFQq1ejRo8+fP5+QkHDkyJEPPvhAWufHH38sto6ZmZmDg8PUqVPz8/Ol8QcPHki9T//+/Ysm7Ny5sxBi2bJlJXn7y5YtE0JMmjTpNX9s/8DU1FQIkZycXLbLopxs3LhR+oTwCtbW1hs3bpQl3u7du4UQPj4+srw6AAAlpKTPP1wB9NaztrYODg7+7LPPzp079+233woh4uLifHx8hBC1atVas2ZNv3795M4IoNLJyclp3br1lStX3uzpderUefUEf39/6b6SktPT01uyZMn48ePfLNILqdXqadOmFV2zZ8+emzZt8vHxWb169cSJE2vXri2ESEpKunz5shDit99+a9++vTTT3Nx806ZNV69eDQ0NDQkJ6dKlS9GV09LSnJ2dL1++XK1atcLBGzdu/PDDD0KINWvWFN5QY2lp+eGHH/bv33/btm3/+c9/+vXrZ2hoWPiU5ORkZ2fnJUuWFI5YWFhMmDDh66+/DgkJKcMfBaqgoUOHDhw48OTJk6dPn05ISEhISFCr1RqNxsrKysrKytraukOHDp07d+YmcQAAqgj+ylcCW1vbs2fPBgQE7Nq1a+fOndnZ2e3bt/f29h46dKjUVgJAMQUFBWlpaXKn+P/k5OQ8ffq0bNfU09ObOHFisUFvb29XV9fw8PCNGzdOmzZNCKHRaH799VchRLt27YpNtrGxCQ0NTU9Pf37xadOmFW1/hBC//fabEMLd3b3YdioqlWr16tU7d+5MSUk5c+bMRx99VPTRr7/+utjKDRs2FEI8fvy4xG8UeDEdHZ0uXboUqy/LSVJSkqenZ8l/30p/BF26dKk8QwEAgP9DAaQQKpWqR48ePXr0ePz4cUBAwMSJE3v37i13KACVl76+/huc1ZWVlVWrVq38/PzExMSX9csLFiyYOXPmmDFj1qxZU+qYpdWoUaPnL1ZSqVRt27YNDw+PiIiQRurUqdO/f/9i0yIiIo4cOXLs2LGXLS7dNVbUzZs3hRAv3KHZzMzMxcXl+vXrFy9eLFYANW7cuNhkbW3tl74loLJKT0+/ceNGVlbWaz0rOTm5nPIAAIBiKICUxsnJKSAgQDoODADKVvXq1T/88MPAwMDVq1dLe/0U8/Tp03Xr1gkhevToUeHpXqB+/fovHJfO8CpWgV25cmX//v2hoaF37tyJjo7OzMx89eKWlpbFRqQ/e5cuXbp06dKXPavoPtMSKyurV78Q8FZo0KCBWq0ueaGzaNGiDRs2SHtyAQCACkABpDSNGjUS//tHCACUuW+++ebQoUMLFixo3bq1p6dn0Yeys7MHDx4cFxfXsmXLbt26yZWwqJycnBeOZ2dnCyEKL1XIy8v74osvNm/eLIRQqVQNGzbs2rVro0aNWrVqtXnz5kOHDr1wkWL3f4n/lTu2travuP3WxMSk2IiWllZJ3gtQ+ZmYmDz/O/xlatasWa5hAABAMRRASuPk5CQogACUm/bt20+fPn3RokU9e/YcOXLk8OHDnZ2dMzMzjx8/Pn/+/CtXrpiYmGzZsuX5Q9NlERMT88Lx27dvi/9dBySE+Pbbbzdv3qyrq/vtt98OHjy4Vq1ahTN37dpV8pdr1KhRXFzcl19+OWPGjDcPDQAAAJQDCiClcXR0FBRAAMrTggUL9PX158+fv2bNmmIb/TRo0GDv3r3Ozs5yZSsmOjo6PDzc1dW16GBqampQUJD43x+YQog9e/YIIcaMGfP8GWTR0dElfzlnZ+cTJ078/fffzz+k0Wj27dtXUFDQqVMn6egxAAAAoCJRACmNpaWlkZFRUlJSSkoKR4ABKA8qlWrWrFmffPKJv7//0aNH79+/X6NGDTc3t08++eSLL77Q19eXO+D/0Wg006dP37dvX9FtlX19fVNSUvT09IYMGSKN5OXlCSGe34vk6NGjYWFh0jolebm+ffuuXbs2ICDg2LFjH374YdGHNm7cOHz4cBMTk/j4+FK8oZImQRX3ZkdrtWjRosyTAACAyoMCSGlUKpWzs/OFCxdu3rzZvn17ueMAUCwXF5e1a9fKneKfBQQEdOvWbdq0aS4uLhEREWvXrt27d68QYuTIkQ0aNJDmtG7d+urVq+vWrXv//fc7deokhLh3797mzZuXLVsmFS7Hjh2LioqqX7++rq7uK16rY8eO/fr1++2333r06PGf//ynV69etra2iYmJW7duXbhwoRBiypQpBgYGpXk7Fy5cyM3N1dHRqSQ32aFyatmy5Rs8i3oRAABlY+NJBZJOFA4PD5c7CADIrEePHu+9997x48c9PDxsbW27du0qtT+dOnXy8/MrnDZv3rw6deo8fPjw/fff19PT09fXb9Cgwbx58zp27Cjd43bx4sVGjRpdvXr1H1/R39//3XffzcrKmjVrVtOmTWvWrOnk5DRv3ry8vLyxY8eWZm+ghg0bCiF27txpaGjo4eHxxuugKpg5c2a9evXkTgEAACoXrgBSIGm3CwogADAwMNi7d+/q1at/+eWX27dva2tru7q6Dho06Msvvyx6U5ilpeWVK1f8/PyOHz8eExNjaGjYqlWrYcOG+fj4CCE0Gs3u3bvNzc1LsnePmZnZmTNnNm/evHXr1qtXr2ZmZtrb2zdt2nTixImtW7cuzXuZP3++Wq0+deqUEKJu3bqlWQqKN3/+/BkzZgwdOnT79u1CiMDAQOk/hwAAQFVGAaRAFEAAUEhHR2fChAkTJkx49bS6desW29C60NixY8eOHVv4rYODw6vvlNHR0Rk+fPjw4cNf/YqvWKdbt26xsbHFjjCrW7duQEDAq9cECunr6//www/79+/PysqysrKqX7++3IkAAIDMuAVMgSiAAOCtplKp6tWr17FjR7mD4O1Wq1atzp07y50CAABUFhRACmRra2tsbPzgwYNHjx7JnQUAAMjGxcVF7ggAAKCyoABSIJVKJX3gu3nzptxZAACAbMaOHRsQEGBvby93EAAAID8KIGWS7gK7fv263EEAAIBs7O3tP/74Y2NjY7mDAAAA+VEAKRPbAAGo4pYuXarRaLZt2yZ3EAAAAKBSoABSJgogAAAAAABQiAJImbgFDAAAAAAAFKIAUiYbG5uaNWs+evQoKSlJ7iwAAAAAAEBmFECK1bhxY8FdYAAAAAAAQAgduQNUqMTExISEBLVarVarc3JyrK2tbWxsrK2tLSws5I5W9lxdXYODg69fv965c2e5swAAAAAAADlViQLoyZMnK1eu3LZtW2Rk5AsnNGzYcMCAARMmTFDSOansAw0AAAAAACTKvwUsODjY0dFx7ty5RdsfPT09PT29wm+joqLmzJnj6Oh44cIFOTKWCwogAAAAAAAgUXgBFBsb271796SkJAMDgwEDBvz+++93795NS0vLzs7Ozs5OS0u7e/duYGDgF198YWpqmpiY6OHhoVar5U5dNtzc3AQHgQEAAAAAAMUXQEuWLElNTbWwsDhz5syWLVt69eplZ2dnZGQkPWpkZGRnZ+fp6fnTTz9dvnzZ0dHx8ePHixcvljdzWalbt665ufnjx48fPHggdxYAAAAAACAnhRdAhw4dEkIsXLjQ3d391TNtbW1//PFHIURgYGBFJKsQLi4ugouAAAAAAACo8hReACUkJAghOnToUJLJbdq00dbWjouLK+dQFYdtgAAAAAAAgFB8ASTd7RUTE1OSyfHx8fn5+RwEBgAAAAAAFEbhBVDz5s2FEGvXrs3Ly/vHyf7+/kKIFi1alHusikIBBAAAAAAAhOILoDFjxggh9u3b5+XldfbsWY1G88JpoaGh/fv3lwqg0aNHV2jE8tSkSRMhRHh4+MveOAAAAAAAqAp05A5Qvnr27Dlu3Dh/f/+goKCgoCBLS8umTZuamZmZm5urVKrk5OTk5OTw8PDY2Fhp/vjx4728vOTNXIbMzc1r166dlJSUkJBgbW0tdxwAcsrNzX38+LHcKVBBsrKy5I4AAACAykXhBZAQYtWqVe7u7r6+vvHx8Wq1Wq1Wv3CatbX1/Pnzhw4dWsHxypurq+vJkyevX79OAQRUWSqVSghx9OhRU1NTubMAAAAAkIfyCyAhxNChQwcOHHjy5MnTp08nJCQkJCSo1WqNRmNlZWVlZWVtbd2hQ4fOnTvr6JTNT0Oj0Wzbtu3+/fslnB8SEiKEyM/PL5NXL0YqgMLDwz08PMpjfQCV3zvvvOPq6iqdioiqo3r16l26dJE7BQAAACqLKlEACSF0dHS6dOlSMR+FpR2FXvdZaWlp5RGGfaABWFpaXr9+Xe4UAAAAAORUVQqgivTOO+8sWrToyZMnJZx/4sSJkJAQQ0PD8ghDAQQAAAAAAKp0AXTz5s09e/YkJiY2adKkXbt2bm5uZbKsjo7O9OnTSz5/ypQpISEhurq6ZfLqxRQ9CEzaBwQAAAAAAFQ1Cj8GXhIQENCjRw9LS8t333336NGj0uCCBQvc3Nx8fX3XrFkzYsSIJk2aTJw4MScnR96oZa5WrVp169bNyMgo+Z5EAAAAAABAYZR/BdDSpUunTZum0WiEEA8ePPj4449PnDhx9+7dmTNnCiEMDQ0bNGgQFRWVmZm5YsWKxMTErVu3yh25jLm6uj548OD69eu2trZyZwEAAAAAADJQ+BVAERER33zzjUaj6dChw5w5c7y8vHJycoYMGTJ58mQdHZ0VK1akpqZeuXIlNTV17ty5KpXqt99+O3funNypy5h0axtbwAIAAAAAUGUp/AqgxYsX5+XleXl57d+/X0tLSwgxevTotWvXCiG++uqr8ePHS9N0dHRmzZoVERHx22+//fDDD23btpUzdFl75513hBBhYWFyBwEAAAAAAPJQ+BVAUusxceJEqf0RQkyaNEn64osvvig2efjw4UKIGzduVGDAiuDu7i6EuHz5stxBAAAAAACAPBReAN2+fVsI0bBhw8IRe3t7HR0dIYSDg0OxyY0aNRJCREZGVmDAiuDq6qqnpxcZGZmRkSF3FgAAAAAAIAOFF0Dm5uZCiCdPnhSOpKen5+XlCSGSk5OLTU5JSRFC1K5duwIDVgQ9Pb3GjRsXFBSwDRAAAAAAAFWTwgsgFxcXIURAQEDhyMGDB6UvTp48WWyyNCI9RWGaNWsmuAsMAAAAAICqSuEF0IABA4QQCxYs2LJly8OHDwMDAydMmKCjo6NSqXx9fePj4wtnRkdH+/n5CSG6du0qW9xyI20DxD7QAAAAAABUTQo/Baxfv35r1qw5f/78oEGDCge///77ixcvbtq0yd3dfciQIQ4ODjdv3ty0aVN6enrDhg1Hjx4tY+BywhVAAAAAAABUZQovgFQqVVBQ0IABAw4cOCCNjBgxYvTo0SkpKRcuXLh+/fqyZcsKJ9vY2GzdulVPT0+msOXonXfeUalU165dy83N1dXVlTsOAAAAAACoUAq/BUwIYWxs/Mcff9y/f3/fvn2hoaHr1q0TQpiamp48efKrr76qW7eurq6uu7v7mDFjwsLCWrduLXfecmFsbNygQYNnz55FRETInQUAAAAAAFQ0hV8BVMjGxsbGxqboiJmZmb+/v7+/v0ajUalUcgWrMM2aNYuOjg4LC3Nzc5M7CwAAAAAAqFDKvwLoH1WF9kewDRAAAAAAAFUYBVBVwUFgAAAAAABUWRRAVUXhFUAajUbuLAAAAAAAoEJRAFUVlpaWdevWffz4cWxsrNxZAAAAAABAhaIAqkKku8DYBggAAKCY3Nzc4ODgXbt2HThwICoqSu44AACUPQqgKoRtgAAAAIp5+vTprFmzLCws2rdv36dPn549ezZq1Kh58+aHDx+WOxoAAGWpqhwDD8FBYAAAAP+/Bw8eeHp6Sv891qRJE2dn56ysrHPnzl2+fLl79+4zZsyYP3++3BkBACgbXAFUhXALGAAAQKHc3Nx//etfYWFhzs7O58+fv3r16s6dOw8cOJCQkLB06VIdHR0/P78ffvhB7pgAAJQNrgCqQho2bGhkZHT//v1Hjx6Zm5vLHQcAAFS0GzduSE1HnTp13N3d27dvb2JiInco2axfvz4kJKRBgwZnzpwxMzMrHNfT05s8ebKtre2nn376n//8p0+fPnxwAgAoAFcAVSFaWlpNmzYVQly5ckXuLAAAoLwMHDhw4MCBly5dKjqYmZn59ddfu7m5ff7556tWrZoxY8bHH3/s6Oj4+++/y5VTdj/99JMQYunSpUXbn0J9+vTp3r17Wlra9u3bKzwaAABljwKoamEbIAAAFO/XX3/99ddf4+Liig726dPH399fo9FoaWk5ODg4OTlpa2s/fPiwd+/e/v7+ckWVUWpq6pUrVwwMDHr06PGyOZ9++qkQ4q+//qrAXAAAlBcKoKqFg8AAAKiCdu/effDgQSHEl19+mZycHBUVdevWrZSUlBEjRgghvvnmm3v37smdsaIlJSUJISwtLXV1dV82x87OTgjx8OHDCksFAED5oQCqErKysg4dOrR69eqIiAghRGhoqNyJAABAxVm/fr0Qwtvb+8cff6xZs6Y0aGxsvG7duo8++ujp06fLly+XNaAMpM2PkpOTNRrNy+ZIJVHhTwwAgLcam0ArXHZ29sKFC1esWJGenl44ePPmzRkzZsyePVtPT0/GbAAAoGJcv35dCDFlypTnH/r6668PHz5c+quDMzMzJ02alJycXML50o6EOTk5pXzdN1a7dm07O7uYmJjg4OD27du/cE5AQIAQolWrVhUbDQCAckEBpGTp6emenp5nz55VqVRt27Zt2bKlEGLjxo1Pnz5duHDhqVOnAgMDjYyM5I4JAADKUU5OTkJCghCicePGzz/q4uIihLh27VopXyUqKmrdunWv+6zMzMxSvm5pDBw4cP78+VOmTPnrr7+evxHswoULv/76q66ubt++fWWJBwBA2aIAUrJBgwadPXu2fv36v/32W7t27aTBtLS0X375xdTU9MyZM4MHD967d6+8IQEAQLnS09OrU6fOw4cP09LSnj/0PTc3V5pTyldp2rTpqVOnHjx4UML5v/766x9//GFsbFzK1y2NSZMmbd68+dy5cz4+Pps2bSp6FtiJEyc+++yzvLy8iRMnOjg4yBgSAICyQgGkWEeOHNm3b5+pqemJEyfs7e0Lx5s1a/bLL7989NFHhw4d+v33348cOdK1a1cZcwIAgPLWqVOn3bt3h4SE1KtXr9hDwcHB4n+7HZdSx44dSz45JCRECKGlJed+lCYmJvv37+/WrduBAwccHBy8vb2bNGmSkZFx8uTJEydOCCE+/vjjxYsXy5gQAIAyxCbQirVp0yYhxJQpU4q2P+J/B4FFRUVNnTq1cBoAAFAYX1/f4cOHL1u27MCBA/369VOpVJMnT05JSSk6R61Wz5s3TwjRpUsXmWLKrFmzZiEhIZ6enqmpqZs3b540adLs2bNPnDhhaGjo5+e3f//+V5wRBgDA24UrgBTr3LlzQojevXsXG2/evLm2tnZYWNjPP//8n//8R/p/PwAAoDDXrl0rtrNPTEzM/PnzV6xYIX27YsWKZcuWJSQkGBoaTpgwQY6MlYK9vX1gYOCtW7eOHDkSExNjaGjo4uLi6en5/O1yAAC81SiAFEs6hsPS0rLYuJGRkYuLy/Xr1x89elQ4DQAAKEZERETk/y8+Pl56KCMjo3DarFmzMjIyzMzM9u/fb25uLlPYysLZ2dnZ2VnuFAAAlKNXFUDR0dFvtqixsXHt2rXf7LkoK2ZmZunp6Wq1+vlzvt59993r168fPXpUCMEHPgAAFMbR0dHR0bHoyNOnT2/fvh0ZGVmzZs3CQUtLy169eo0ZM6Z+/foVnhEAAFS0VxVADRs2fLNFhw8fvn79+jd7LspK27ZtY2Ji9u7dO3369GIPtW7d+ueffz548KAQovB0MAAAoFQGBgbu7u7SPoCFbt26Je8ezAAAoCKV8d/6RkZGbm5uVlZWZbss3sCwYcOEEN9+++3du3eLPfTuu+8KIa5evSqEGDp0aMVnAwAAsqP9AQCgSnnVX/xPXmTVqlVaWlp6enojRowICgqKioq6e/fu0aNHx48fr6+vn5WVNX78+Llz51bYG8DLdOnSpXfv3o8fP37//feL7fScmpqqUqkKCgq8vLyq7KkfAAAAAABUHa+6Bez5sw/+/vvviRMn1qhR4/Tp00WvIrazs/vwww9HjBjRpk2bESNGODk5dejQoVzy4nVs3rz54cOHZ86c6dChQ5s2bVq1aiWEuHDhwvnz5zUajeDyHwAAAAAAqobXu/T322+/zc/P9/PzK3YPucTZ2XnRokX5+flLliwpo3goFSMjo6NHj86ePdvAwODcuXP+/v7+/v7nzp0zNDRs3769+N9dYAAAAAAAQNle7xj4M2fOCCE++OCDl014//33hRB///13KWOhrFSrVm3OnDnTpk07efLk7du3hRCOjo7vvfdeYGDg2bNn+ZUCAAAAAKAqeL0C6MmTJ0KIgoKCl03IyckRQqSnp5cyFspW9erVPT09PT09C0ekfaBDQkI0Go1KpZIvGgAAlUtp/lqU7rAGAACohF7vFjDpeK+TJ0++bIL0kLW1dalCofzZ2NhYWVmlpKRERUXJnQUAAKBUqN4AAPhHr3cFULdu3X766SdfX18PDw9nZ+dij0ZERPj6+gohPDw8yiwgyk3r1q337dv3999/N2rUSO4sAABUFhcvXpQ7AkoqLCzM39//zz//VKvVenp6jRs37tOnz5gxYwwNDeWOBgBApfN6BdC0adO2bNmSnp7eokWLr7/+unfv3g4ODkKI6OjovXv3rlq1KjMzs0aNGlOnTi2ftHhzz549u3//vhCiXr16+vr6Qoh333133759ISEhAwYMkDsdAACVRYsWLeSOgH9WUFAwc+bMJUuWSFsTqFSqZ8+ehYaGhoaGrl69es+ePdLd7gAAoNDr3QLWoEGDnTt3GhsbZ2ZmLlq0qFWrVqampqampq1atVq0aFFmZmbNmjX37NlTv379coqLNxAcHOzl5VWzZk1HR0dHR8eaNWv26NHj3Llz0gcj9oEGAKCUcnNzL126FBsbK3eQKmTq1KmLFi3S1taeNGnSzZs38/Lynj59GhgY2KZNm/j4+A8//DAsLEzujAAAVC6vVwAJIby8vKKjo5+/ttbExGTy5MnR0dEfffRR2cVDqWg0Gl9f3w4dOhw8eDA/P79Ro0aNGjXKy8sLCAho3759UFCQtrZ2WFhYdna23EkBAHiLxcTEtGzZctKkSXIHqSpOnTq1fPlyPT29wMDAZcuWOTs7a2lp1ahRw9PT8/Tp0wMHDnz69OmgQYPy8/PlTgoAQCXyereASczNzdesWbNmzZqEhITIyEg9Pb1GjRrVrl27zMOhlBYvXuzn56ejo/PNN998/fXXpqamQojk5ORVq1YtWrRoyZIlFhYWiYmJYWFhXCYNAMAraDSaY8eOhYSEPH/UqfSQECI5OVmOaFXR4sWLhRCzZs3q0qVLsYd0dHTWr19/9uzZa9euHTx4sGfPnnIEBACgMnqTAqiQlZWVdC7Y2yIxMTEhIUGtVqvV6pycHGtraxsbG2trawsLC7mjlb3bt2/Pnj1bW1t7z549RT/9mJmZzZs3r0WLFj4+PklJSUKIv//+mwIIAICXycvLGzRo0LZt2149zcfHp2LyVHHPnj07fvy4jo7OqFGjXjihWrVqI0aMmDZtGgUQAABFvWEBlJGRcebMmYsXLz55y+7EEAAAIABJREFU8sTExMTX1zcpKalGjRoGBgZlm69MPHnyZOXKldu2bYuMjHzhhIYNGw4YMGDChAnGxsYVnK38fP/997m5uV988cULP/r861//GjZs2Pr16wXbAAEA8Ep79uyR2p/mzZtbW1sfP3786dOnnp6eBgYG0dHRYWFhGo3m+++/Hz16tNxJq4SEhITs7OwGDRpIlza/ULNmzYQQd+7cqcBcAABUdq+9B5AQ4qeffqpfv76np6evr+/y5cv37t0rhDh16pS1tfWCBQvKOmFpBQcHOzo6zp07t2j7o6enp6enV/htVFTUnDlzHB0dL1y4IEfGcnH06FEhxOeff/6yCYUPUQABAPAKGzZsEEIMGzbs0qVLf/zxx6JFi4QQQ4cO3bVrV2ho6OHDh6tXr37gwAG5Y1YV2traQohX7+8jPaqjU6pL3QEAUJjXLoD8/PxGjBiRkpKira3t5ub2fwtpaaWmps6cOfOrr74q04SlEhsb271796SkJIP/x96dB9SUx/0D/9ylTXsiKkkoyVJhJvtSJpI0WbNHhsGkxsRkhCwNI0tk39cwyFqyL8lIdpGUFtVVSav22/39cX7PfXos6VL33G7v11/dcz6d+64x7vE530VVdfz48SEhIYmJifn5+aWlpaWlpfn5+YmJiaGhodOmTdPR0cnIyLC3txcIBGynrh2pqalE1K5duy8VmJubExGHw3n9+vW7d++klwwAAKBeiY+PJ6JZs2YxLwcOHEhE4odGP/3009y5cy9cuMA8EoO61rx5c1VV1ZSUlPT09C/V/Pfff0RkamoqxVwAAACyTrIGUHR0tK+vLxGNHTs2MzPz6dOn4lPOzs47duzg8/lBQUGyM45m1apVeXl5enp6ERERBw4ccHZ2NjY2VldXZ86qq6sbGxsPHjx4+/btDx8+NDU1zcnJYZYVlAONGjUiog8fPnypgDmloKAgEomioqKklwwAAKBeYR4OtWzZknnZrl27Ro0avXr1Slzg5uZGRHv27GElXkOjqKg4ZMgQkUj0zz//fLYgNzd369atRDRs2DDpRgMAAJBpkjWAAgMDicjW1vbgwYMfzbvmcDju7u4+Pj5EtG7dulqM+D3CwsKIyN/f39LSsvpKIyOjbdu2EVFoaKg0ktU9CwsLIrp27dqXCq5evUpEzZs3JyI0gAAAAL5EU1OTiIqKisRHWrVq9fz5c/FLY2NjBQUFfJhKR0FBgampKYfDCQwMNDMzmzlzZtW7nYKCglGjRmVkZPTp02fAgAE1v2xxcfGVK1f27dt39OjRZ8+e1UFwAAAAlknWAGLG0/r4+HA4nM8WuLq6EtGTJ0++P1mtYMYG9+rVqybFNjY2PB6PmTklB0aNGkVE/v7+xcXFn54tLi5mFmwaPHgwYRkgAACALzM0NCSiO3fuiI+0bt361atXeXl5zEuRSCQUCj/dIR5qXUhISOvWrZcvXy4SiYgoLi5uy5YtAwYM6NOnz61btzZv3typU6dLly7p6ent37+/htfMz8/39vZu0qSJnZ3d5MmTx4wZ07Fjx/bt24eEhNTljwIAACBtkjWA3rx5Q/8ztOSzmOEksrPnAjPbKykpqSbFaWlpQqFQbjYCmzRpkpmZ2fPnz0ePHl1YWFj1FPNw7MWLF+3atZs3bx4RRUVFMTdSAAAA8BEHBwci8vb2joyMZD4uraysRCLR3r17mYIbN25UVlaamJiwGLIh2Ldv3/Dhw7Oysvr06bNv3z4fHx9lZWXm1K1bt/r06TNr1qykpCRra+vIyEjxlL3qpaamdu/ePSAgoLi4+Mcff5w0adKoUaP09fVfvHjh4uLyxx9/fE/glJSUXbt2LVmyZOXKlWfPnv3sMzkAAACpkWxzBE1NzczMzJSUlGbNmn22ICUlhYhkZzN4a2vrixcvMo+GvroTxIYNG4ioS5cuUolW5xQVFU+ePNm7d++zZ8+ampr+8ssvXbt25XA49+7d2759u0Ag0NHROXnyZKtWrQwNDVNTU+Pi4szMzNhODQAAIHNmz54dFBSUkpLSs2fPgwcPjhs3ztnZ2c/Pb968ecnJyerq6lu2bCEiiSYcgaTi4uKmT5/OLP3j7e3NHImIiLh161bVMiUlJUdHRyMjo5pcs7S01MnJ6fnz5506ddq/f3/nzp2Z40KhcOvWrXPnzl2zZo2hoaGnp6ekaVNTU728vE6cOFH1AZu2tvZff/3l5eXF5X7LPrwAAADfSySJIUOGENHs2bPFR4jI0tJS/HLJkiVEZGtrK9Fl687p06eZH9Pe3j4iIqKysvKzZffv3x87dixTefbsWSmHZB4uGRgY1MXFX7161b1790//u/fo0SM+Pp6pGTlyJBHt2LGjLgIAAIDcYJb/y87OZjsIC2JjY62srIjo4MGDzJGJEydW/WDV09N7+/YtuyHrF0nvf5hf+NSpU5mXd+/e1dbWJiIdHZ3p06cvW7ZMRUWFiJhlCgYNGlRWVvbVa65fv56ImG1APj176tQpDoejpqYm6X/ZZ8+eMYPiVVVVR48evWTJkvnz59vY2DB/VFxcXMrLyyW6IAAAsEie7n8kawAxc6E5HM6mTZv+//dXaQBdunSJ+ejduXNnLcf8Dh4eHuKbs+bNm9vb248dO9bDw2POnDnjx48fPHhw1WdEnp6e0k9Ypw0gkUhUWVl5+fJlDw8PR0dHR0fHOXPmXLlypWovjBn6NHHixDoKAAAA8kGeboC+TUZGRkZGBvN1eXn58uXLraysOnXqNG3aNIFAwG62ekei+5/y8nJmKe7Xr1+LRKLs7GymwzJ8+HBx72b+/PlENGrUKGag+pw5c7562Q4dOhDRmTNnvlTg5OREROvXr6/ZzyQSiUQFBQWtWrUiIjs7u/T09KqnQkNDGzduTETe3t41vyAAALBLnu5/JGsAif5ntAjT92GWjzEyMlq+fLmjoyNz3MbGRtYea+zevdvAwKD6kVAGBga7d+9mJV5dN4C+6tGjR0RkbGzMVgAAAKgX5OkGCFgn0f0Ps8iAoaEh85Lp9fTt27fqPee5c+eIyMHB4f79+woKCnw+/9WrV9VcMycnh4jU1NSquXE9cOAA02aq2c8kEolES5cuJaKuXbsWFxd/evbOnTt8Pl9BQSEhIaHm1wQAABbJ0/2PZGsAEdHBgwd1dXW3bNny6NEjpnGQkpKycOFC5qytre2RI0e+utqOlLm5uU2YMOH69eu3bt1KT09PT09nHtPp6+vr6+sbGBj06tWrX79+shZbajp27Kijo5OUlJSSklLDOfMAAAAAUlNaWkpEzJLPIpHo0KFDRLRq1aqqN2/M2dLSUmtr6/Hjx+/Zs+fIkSPie9RPZWVlEVHz5s2ruQNk7osyMzNrHpXZfeyff/4RL1BdlY2NzdixY/fv33/48OFqsgEAANQFiVseioqKmzdvnjVr1uHDh2NjY+Pi4nJzc9u2bduuXbshQ4Y4ODh8aYd4dvH5fDs7Ozs7Oym8V3p6eu/evZnHSjVRVFRERB8+fKjLUNXhcrk9e/Y8e/bszZs3x48fz1YMAAAAgM/S19fn8/kpKSn5+fnFxcWpqam6uro//PBD1Zpnz54REbP5l4ODw549e+7fv1/NNZklhLKysiorK7+0KjPT+mGe/dbE+/fv4+PjNTU1+/bt+6UaJyen/fv3R0VF1fCaAAAAtUWyBpCDg8OUKVOcnJwsLCxWrFhRR5nqu4qKivfv3+fm5kr0XZWVlXWUpyaYzcJu3bqFBhAAAMBHunXrVpOyYcOGYUxHHWnUqFGfPn2uXr26e/duBwcHItLR0an60LGiomL79u1ENGjQICLS1dUloupvxnR1dU1MTF6/fn3r1q0v9WuY7UR+/PHHGuZknv/p6upWs8+Xnp4eEb1//76G1wQAAKgtkjWAwsLCwsLCGjduPG7cODc3N0tLyzqKVReys7OZhffErl+/fu/evbS0NEtLy969e7du3bpW3sjIyCgzM7OwsLCG9YsXL964caO6unqtvPu36dOnDxF9tJEqAAAAEFF0dHRNyurXfVG988cff1y9enXhwoWdOnUiovT09PLycgUFBSISiURz5859/vx5mzZtnJ2diSgpKYmImNWgqzFp0qTFixf/8ccfERERSkpKH52NjIwMDg5WVFR0dXWtYcgmTZoQ0du3b8vLy3k83uXLl8PDw9PT0xUVFS0sLFxcXNq0afPmzRsiatq0qUQ/PgAAwPeTrAHUs2fPyMjI7OzsDRs2bNiwwdraesqUKa6urjUfGcuKQ4cOrVmzRiQSPXz4kDny9u3bKVOmhIWFiWv4fP6iRYsWLFjA4/G+/x0VFBSYccU18ekNh/R16dJFTU0tNjY2MzMTdyQAAABVbd269dOD5eXliYmJd+7cuXPnjpGR0Y4dO8zMzKSfreEYPHjwlClTdu/ePXTo0ObNmwsEgrNnz7q4uERHRy9atCgsLExJSWnv3r1MS+jw4cNEVM08LIaXl9fevXujo6OHDh26f//+qg2j8+fPT5w4USgUent7Gxsb1zCkhoZGp06dnjx5EhgYuH///qdPn1Y96+Pj4+bmxkwr6927tyQ/PQAAQG2QdNXo5OTkVatWWVlZia+gpKQ0evTo8PBwoVBY22tU1wLxNvDi7erLy8uZZ0dEpKWl1blz50aNGjEvf/31V+knZH0XMAazQNLx48fZjQEAADJLnnbBqEXnz59XUVHp1KlTUVER21nqk2+4/ykrK5s2bZr4FpTH46mpqTFfa2trX7hwgSljlmHW1tZ+//79V6/59OlTpu+jqqo6ZswYPz+/P//8Uzzna8SIERUVFRL9XBs3biQiZnpaq1atFi9eHBwcvGfPHjc3N/Ezv0aNGjEbkgAAgOyTp/sfiRtAYrGxsYsXL676sMvQ0HDhwoXx8fG1mO87Xbhwgcnm4uJy9+5d5uCaNWuYj94DBw4wR8rLy/38/DgcDpfLFZdJjYw0gPz8/Ihozpw57MYAAACZJU83QLVry5YtRLR48WK2g9Qn33z/c+XKFQcHB/EiO3p6enPnzs3IyBCJRMXFxcuXL2d29dq1a1cNL/jmzZvhw4d/tI2Jtrb22rVrKysrJY335s0bZji5jo5OVFSU+HhFRcXixYuZd7G2tpb0sgAAwBZ5uv/hiEQiSQcNfeThw4fBwcFHjx5NSUlhnnj07dv32rVr33nZWmFvb3/x4sVx48YdPHhQfLBHjx537tzx9/f38fGpWjx58uR9+/ZNmDCBeXAkNd7e3gEBAQYGBqmpqdJ8349cv369f//+VlZWDx48YDEGAADIrMaNG79//z47O1vGp35LX2Zmpp6enrm5+fPnz9nOUm985/2PQCAYNGjQkydPiMjc3Lxdu3bFxcV37tzJy8vjcDhLly6VdEHu5OTkS5cuvXnzRkVFxcLCws7OTkVF5RuCeXp6BgYGqqmpFRYWcrncbt26mZubl5SU3Lp1Ky0tjYgUFBQqKioePHiARaMAAOoFebr/qYUGEEMkEm3evHn+/PnMdua1ddnvZGBgkJ6efu/eva5duzJHRCKRpqZmQUFBfHz8R6s+R0RE9O7d29LSUrxUkHTISAOopKREW1u7rKwsOztbS0uLxSQAACCb5OkGqHYJhUIVFRU+n19UVMR2lnrj++9/iouLV69evWHDhuzsbPFBGxubFStWDBgwoJZiSkYkEhkYGAgEgoiIiFOnTm3ZsoW5MWaYmZn5+/vfvHkzMDBw/vz5K1euZCUkAABIRJ7ufyRbBPqz7t+/f/z48ePHj8fHxzNHZGFVYwaz/aeGhob4SHl5eUFBARHp6+t/VNyqVSsievnypRQDyhBlZeWuXbtGRETcvn17yJAhbMcBAACoN6KiosrLy5mtx0FqVFRUFi1a9Ndff92/fz8tLU1JSaljx44tWrRgMVJWVpZAINDV1e3Zs2fPnj2XLl16+/btN2/eKCsrd+jQoWPHjkSkqKgYGBjIjF0CAACQpm9sAIlEort37x4/fvzEiRPMRptExOPx+vfv7+rq6uLiUmsBv4+RkVFsbOzt27dNTU2ZI4qKigYGBmlpaSkpKR/t1pGYmEj/t1vU0PTu3TsiIuLWrVtMA+j169e3bt3KyMjQ0tLq2rWrtbU12wEBAABkzuPHj5mVidu3b892loaIx+P98MMPbKf4/woLC6nKzaSKigqzyUZVmpqa4koAAABpkqwBVFlZGRkZyfR9qo7X7d69u6ur66hRo/T09Go74XcZNmxYbGzsihUr7OzsxE+ERo0atW7duiNHjixevLhq8Z49e4ioIc/H7t27999//33r1q1nz555eXldvny56lkLC4u1a9f+9NNPbMUDAABgRZMmTb50qqSkRPwveWZVY2jImjVrxuVy09LSioqKxJvMfiQuLo6IDAwMpBsNAABAwgaQgYHB27dvxS87duzo6urq6upqbGxcy7lqye+//75nz56EhITevXv7+vqOHDlSQ0Nj0aJFISEh//zzj7W19dChQ4lIJBKtW7eOaQC5ubmxnZo1PXv25PF4UVFR3bt3Lyws1NLSsre3b9my5bt37y5evBgTEzN48OCAgAAvLy+2kwIAAEjPu3fvqi9QVFT8559/Bg0aJJ08ILMaNWrUvXv327dvBwcHT5069bM1e/fuJSJbW1upJgMAAJC0AcR0f1q3bj1mzBhXV1cLC4u6SVVrmjZtevr0aScnp+TkZHd3dw8PDysrq+bNm1taWp46dWrYsGEWFhZGRkZPnjxhBjT9/PPPo0ePZjs1azQ0NMzNzZ89e1ZYWDhp0qT169eLV4MuLy8PCAjw9fWdO3du69atnZyc2I0KAAAgNRcuXKjmrIaGRqdOnVRVVaWWB2TZb7/9dvv27T///LNfv34f7TdCRIGBgREREU2bNm3IN5wAAMAWyRpAnp6erq6usjPRuiZsbGwePXq0aNGi/fv3FxUV3b59W3xKJBI9e/bs2bNnRKSgoODp6blixQr2ksqE0tJSIurQoQPzeEpMQUHBx8dHSUlp7ty5Xl5eDg4OfH4trCAOAAAg++zt7dmOAPXGqFGjDh06dPbs2R49egQGBo4YMYK5ZcrKylq2bFlQUBCHw9m0aZO6ujrbSQEAoMGR7N/w69atq6McdUpfX3/nzp1r1qwJDQ2NjY1NT09PS0tLT0/n8/ktWrQwNDRs3769i4uLrC1gJH05OTmvX78moi9tAz9nzpzt27e/fPnyxo0bGLoMAAAA8BEOh3Po0KHRo0eHhYW5urrOnDnT3Nz8w4cPMTExFRUVCgoKGzduHDFiBNsxAQCgIZKgAfTs2bOjR49yOJylS5fWXaC6o6mp6erqynYKmRYdHS0UCono/v37ZWVlioqKHxXweDwnJ6fVq1ffuXMHDSAAAJBLCQkJ3/aNGhoa1SwXDQ2Hurr62bNn9+3bt3bt2piYmMjISCJSUlJydHT08/Pr1KkT2wEBAKCBkqAB9PTp0+XLlxPR9OnTsXOBXHr//j0RaWho5Ofn379/v3v37p/W6OvrE1F2dra0wwEAAEhFmzZtvu0b3d3dd+zYUbthoJ7i8XhTpkyZMmVKenp6UlKSmpqaiYmJmpoa27kAAKBBk6AB9OOPP/L5/IqKikePHqEBJJcaN25MRKqqqvn5+devX/9sAygtLY2q3RAXAACgoVFXV2/ZsiXzjASgKn19ffzBAAAAGSFBA8jExMTPz++vv/6aP3/+wIEDP50fBPVd165dFRUVMzMziejy5csDBgy4efPmu3fv1NTUfvjhh/79+3O53FOnThFRjx492A4LAABQJ3Jzcz89uG/fPi8vLz6f7+bm5uLi0rp1ax6Pl5CQcO7cua1btxYXF3t6en5p228AAAAAWSDZItALFizQ1dX9/fffLS0t582bx2yprqSk9GmlpqZmLSUE6dHS0nJxcTly5AiHw7l27ZqNjU3Vs4aGhj179oyPjzc1Ne3VqxdbIQEAAOrUp/cwd+/e/f333xs1anTr1i1LS0vxcWNjY1tb2+nTp9vY2EyfPt3MzAyfjwAAACCzJGsAtWrVioh4PN6LFy/c3NyqqRSJRN+VC1ji7+9/9uzZDx8+EFHjxo1dXV1btGiRk5Nz7tw58SrggYGB2AMeAAAajn/++UcoFC5fvrxq90esXbt2f//998yZM1etWoUGEAAAAMgsyf4Zn5SUVDcxQFYUFBSUl5czX+fn56elpfH5/KysLGZeGBGJRCKsAA0AAA1KREQEEQ0YMOBLBf379yeiu3fvSi8TAAAAgIQkawDFx8fXUQ6QEX/++WdZWZmtre2VK1fKy8tDQkLEp7p06TJgwIDVq1fPnz9/xIgRn536BwAAIH+YVYEqKyu/VFBWVkZEBQUF0ssEAHVAJBJlZmaqqKhoaGiwnUWmFRcXHzp06NmzZyoqKjY2NkOHDuVyuWyHAoCvk6wB1Lp16zrKAbIgMzPz4sWLKioqwcHBbdq0yc/PDwoKKi8v19HR6dq1a/v27UUiUXh4+JMnT65cueLg4MB2XgAAAGnQ19dPSkq6fv16586dP1tw/fp1IpLZPVIzMjLS09MFAoFAICgrKzMwMDA0NDQwMNDT02M7GoCsiIiICAgICA8PLykpIaImTZqMHj36zz//lNn/r9mSl5c3cuTIy5cvV13xQ1FRcebMmWvXruVwOCxmA4Cvwkou8L8ePnwoFAp79OjRpEmTvn37nj17Vk1NbdKkSeICDoczZMiQJ0+eREdHowEEAAANxE8//bR9+3ZfX197e/t27dp9dPbly5e+vr5EZG9vz0a6L8rNzV2/fn1wcHBcXNxnC9q0aTN+/HgvL6/6NdihoqLi/Pnzly9fTklJUVVVbd++/fDhw83NzdnOBfWVUCj09PQMCgqqejArKysoKGjnzp2HDh1ycXFhK5usef36taWlJTPaUVFRsWnTpuXl5VlZWWVlZevXr7906dLjx495PB7bMQHgi75xqF5hYeGFCxeWL1/+xx9/LFu2jIiysrKYlYOh/mKGuOvq6hLRwIEDiejSpUsf1TRt2pSIcnJypJ4OAACAHfPnz1dRUSkoKOjSpcuCBQuio6NzcnJycnKio6MXLFhgbW2dn5/fqFGjefPmsZ30f0VGRpqamvr5+VXt/igqKioqKopfxsfHL1myxNTU9N69e2xk/BYREREWFhbOzs5BQUFnzpwJDg729fXt0KHD5MmTMQVPpmRnZx87dmzt2rUbN25kFhZgO9EXzZw5U9z9MTMzGz169LBhw3R0dIiopKRkxIgRFy5cYDWgrBAKhd26dSsoKODz+WvWrCkpKXnz5s3bt28LCwvHjh1LRDExMT/99BPbMQGgWiLJbdu2jfk7kWFpaSkSiY4fP66pqbl8+fJvuGAD98cffxCRgYEB20FEV69eJaLu3buLRKLY2Fgi0tXVFQqFVWvmzJlDRCtXrmQpIwAAsIb59M/OzmY7CAvOnj1bzTAZLS2tsLAwtjP+r+TkZGYze1VV1fHjx4eEhCQmJubn5zNn8/PzExMTQ0NDp02bxvw31dbWTk9Pl3LIb7j/OXfuHNPAateu3cqVK0+fPn348OFffvlFWVmZuSPNy8uru8BQQ1lZWW5ubh8NA9HW1g4KCqqsrGQ73cdu3LjBJNTX179165b4eHl5eVBQELPvrYaGxocPH1gMKSM8PDyIiMvl3r1799Oz/v7+zG/y5s2b0s8GUKfk6f5H4gYQM96HiHg8XocOHcQNoJMnTzLHZ8+eXQc55ZnsNIAKCgqUlZV5PF5CQoJIJDI2Niaihw8figtKSkqMjIyIKDIykr2YAADADnm6AfoGWVlZs2bNUlNTq/rPWk1NzT/++EPWficzZ84kIj09vaof4p+VnJxsampKRB4eHtLJJibp/c+bN2/U1dWJyMvLq7y8vOqpV69eMVPzXF1d6yApSCAhIUFfX/9LrdKff/65oqKC7Yz/h7W1NdPi+WwP9OzZs0zyf/75R/rZZI22tjYRTZgw4UsFJiYmRNS3b18phgKQBnm6/5FsDaDo6GhmlvvYsWM3btyoo6MjXujL2dl5x44dv/76a1BQ0MSJE7t16ybRlUEWqKmpjRs3bteuXdOnTw8LC7Ozs9u5c+fFixctLS2ZAl9f35SUlM6dO//444/sRgUAAJAyXV3doKCgoKCg9PT0uLg4RUXFtm3bNmnShO1cnxEWFkZE/v7+4k/wLzEyMtq2bVv//v1DQ0MDAwO/501FItGePXuysrJqWB8VFUVE+fn5q1at+ugUh8MZPXp0y5Ytqx5ctmxZQUFBhw4d9PT01qxZ81H99u3bBw8efOTIkfnz5zNrdVdUVOzatYuZ3l6T66P+++tLSkoGDBiQnp5ORK1atbKyslJXVxcKhYmJiXfv3q2oqAgJCenbt6+Tk5OM5BeJRA8fPiSiuXPnNm/e/LP1hoaGqampa9asEe8DKLO//zqtNzQ0ZJaA+Pvvv79Ub2Ji8vr166ioqOTkZFnLj3rUf0/9p8frMYnaRePHjyciW1tb8QBO+p8RQAymPYTHLxKRnRFAIpEoPT29WbNmRGRnZ7dhwwbmC5FI9P79++nTpxORgoJCREQE2zEBAIAF8vQETL4pKSkR0cuXL2tSXFxczOPxlJWVv/NNa3choSlTplS9uFAoZCa1VVPPzE/x8fFhvuXTdQyruT7qa6Xez8+PefnLL79Uv26OrOWfOHGiTOWRwfqEhAQi4nA4MpIH9aiXZr083f9wRFU28Puqtm3bxsfHX7582dbWljnC4XAsLS2Z3jkRvXjxon379hYWFs+ePav5ZRs4b2/vgIAAAwOD1NRUtrMQEd2/f9/R0fHt27c8Hk8oFPJ4vL59+/73339FRUXKysp79uwZM2YM2xkBAIAFjRs3fv/+fXZ2dtWlAOXV0aNHiUhXV9fW1jYvL6+G31V9k0JqmjRp8u7du/Dw8JosyJqQkNCmTZumTZtmZGR8z5sKhcLJo/9WAAAgAElEQVT169fXfATQtWvXoqKiVFVVZ8+e/dEpDoczadKkqhuupaenGxgYqKurM7PbPlv/8uVLZ2dnR0dHZtpOWVnZ2rVrv/RE96Pro75W6pk/eN26dbt79255eflH9YWFhVu3bhUKhZ07dz5y5Igs5H///v2OHTuI6MWLF1+qf/LkSVhYmKKiopeXV13nkeV6Y2NjFRUVIsrLy9PQ0PhsfXR09JUrV5SUlB49eiRr+VGP+u+p79mzp/zc/0jULmIeKAkEAvER+r8jgJiRgSoqKrXVoGoIZGoEECM9PX3KlCnMkooMLpc7aNCgx48fsx0NAABYI09PwL6K+fjr1auXSJJHZWyn/v+Yvo+zs/NHa+V8FjNwZvDgwVIIVpVE9z/MXmZt27atpobZy6J///61FBAkI94O+LMrBDNGjBhBRC1btpRiruoUFRUxmR88ePClmsmTJ8vajTpbGjVqREQLFiz4UkGXLl2IyNraWpqpAKRAnu5/JNsGnnmulZKS8qUC5pSqqqpElwVZ07x58127dmVlZTF7Orq4uAgEgrCwsE6dOrEdDQAAAL5i1qxZRHTq1ClHR8fbt2+LvtDDevDgwbhx45gZ358dWSM7mjdvzuVy37x5U1xc/KUaZgNTQ0NDKeaC//X69Wsi4nK5P/zww5dq+vXrR0TMA2NZoKKi0rhxYyJi2qCfysnJOXbsGBH16tVLqslkkr29PRGtWbPms6MFz507d//+fSL6/fffpZ0MAGpMskWgu3Xrdv78+QMHDnzpb/aQkBAiYtbeg/pOTU1t2rRphw8ffvXqVdOmTdmOAwAAID1bt24lImZdvPj4eLbjSMbJycnDw2PDhg3h4eHh4eHNmzfv1KlT48aNdXV1ORxOdnZ2dnZ2TEyM+JGep6eno6Mju5mrp6am9uOPP965cyc4OHjKlCmfFohEoj179hCRnZ2d1NNJlUgkevHiRVJSkpqamqmpKfNHVBYwI8dFIlFZWZmiouJnawoLC4mIy5XsCXSdmj59ur+/f0RExIIFC1asWCHe34aIcnJy7O3tmVFCCxcuZC+jrNizZ8/58+dLS0vNzMyuXLnCjPdh7Ny5c8aMGUTUpk2bcePGsZcRAL5GovFCTH+Hw+Fs2rSJOUJVpoBdunSJmRq6c+fOWhykJPdkcAqYWGlpqZqaGofD+ezWmAAA0KDI0xDohmD37t0GBgbV3wcaGBjs3r2blXiS3v8cOXKEiBo3bhwXF/fpWX9/f+ZqHz58qNWYMqS0tHTNmjVVhzhxudw+ffrcuHGD7WgikUhUVlbGdE8OHjz4pZru3bsTUYcOHaQZrHofPnwQN9Gsra137dr133//3bx5c8WKFeLFPsaNG8d2TFlx4cIFHo/H/Fpatmw5ePDg/v37M6OoiEhTUzMrK4vtjAC1T57ufySerD5y5Ejm/3BLS8t58+YRkZGR0fLly8UPjmxsbGoy4RzEZLkBJBKJhgwZQkT79u1jOwgAALBMnm6AaktycnJBQQHbKb6ovLz80qVLixYtcnd3d3BwsLKysrS0dHBwcHd3X7x48aVLl1i8Z5P0/qeysnLYsGFEpKure+DAgdLSUuZ4amqqu7s70w05d+5cneVl2fv378WzkLS1tU1MTFq2bMmszsnhcPz9/dkOKBKJRMy6qk2aNMnNzf30LLNIExHJSFqxmJiYahZ27dWrV0lJCdsZZcj9+/c/21m2sbHJz89nOx1AnZCn+x+JG0ClpaW//vrrl/6KtLW1Rd9XUjLeAAoMDCSi8ePHsx0EAABYJk83QN/g2rVrfn5+mZmZzMsnT56YmpoSEY/Hs7W1ffv2Lbvx6p1vuP8pKCgQP3HU0NCwtLQ0MzNj5hMpKSnt37+/7tKySygUDhgwgIiYsfZVKSoqMr8BWRiAf/r0aSaVubn58+fPxccrKysPHz7MtKtUVVVlsE3w5s0bJyenj363SkpKixYtKisrYzudLLpy5cro0aO7devWq1evGTNmfHZcHoDckKf7H8m2gReLiYk5fPhwbGxsXFxcbm5u27Zt27VrN2TIEAcHh6pTZ6EmZG0b+I/Exsaam5vr6uoyG8OzHQcAAFjToLaB/8ivv/7KrAoUHx/funXriooKS0vLmJgYcUHr1q1jYmKYf+JCTXzb/U9lZeWhQ4fWrVv38OFD5oiqqqqTk9PixYvNzMzqJin79u3bN3nyZC6XW1lZqaGh8fPPP1tYWBQVFd28efPatWvMzbyWllZ8fLx4Mg5bfv7551OnThERl8vt3bt3586di4uLr169mpCQwBScOHHCxcWF1YxfFB8fHx4enpycrKKiYmZmNnjwYG1tbbZDAQD75On+R7JFoMUsLCxWrFhRu1FANrVr187U1DQuLi4yMrJ3795sxwEAAJC2kJAQpvtjYmLCbIR8+fLlmJgYVVXV48eP8/n8SZMmJSQkHDhwgJmLBHWHy+VOmDBhwoQJWVlZaWlpSkpKJiYmct93CwoKIqLKysohQ4bs3btXV1dXfOrmzZujR49++/Ztbm5ucHDw7Nmz2YtJRBQcHDxu3LiTJ09WVlbeuHHjxo0b4lN8Pn/79u0y2/0hojZt2rRp04btFAAAdajWFuFPSUlhFvYH+TN06FAiOnPmDNtBAAAAWLBp0yYimjBhwqtXr5o3b05E586dI6KRI0cOGjTIzs5u5cqVRBQcHMxuzgalSZMmlpaW5ubmct/9KSoqYnbX7tat28mTJ6t2f4ioT58+oaGhfD6fiM6ePctOxCqUlZWPHz9+/PjxH374QTwtQEVFxdXV9enTp25ubuzGAwBo4L6lAXT9+vWlS5dmZWUxL58+fWpmZtayZUstLS07O7uMjIxaTQjsY9ZcZAb0AgAANDSvXr0iIm9vb/H21Tdv3iSiMWPGMC/79u1LRElJSezkA7nGLDtFRKtXr/7s9upWVlYODg5E9OLFC2mH+xwOhzN8+PC7d+/m5OQ8ffqUWS/i8OHDzBLRAADAIokbQL/++mv//v0XL16cn59PRBUVFa6urnFxcUQkFAqvXLnSs2fP0tLS2k8K7OnRo4eurm58fLyM3FgAAABIU2ZmJhGJN74pKCiIiYnh8Xg9evRgjjALhaSnp7OVEORYZWUlEXE4HPEuYJ/q1KkTEZWUlEgvVg1oamp26NChbdu2n+1bAQCA9EnWAKpmDnxYWNilS5f09fWZOfB1EhZYwuPxmM3gMQsMAAAaoBYtWhCRQCBgXp4+fbqystLKykpdXZ05wgyL/mhuDkCtYMadiUSiqKioL9U8f/6ciOR+NhwAAHwnyRpAmAPfYDFbY6IBBAAADVD79u2JaPfu3czLXbt2ERHzaITx77//0v/0iQBqV5MmTZgvvL29KyoqPi14/vw5s/qPHO+DBgAAtUKyBhDmwDdY9vb2ysrK//3339u3b9nOAgAAIFUeHh5EtHbtWmdn5yFDhly/fp1Z5YSI4uPj586d+9dffxGRLG9vBPWXqqqqlZUVEd2+fXvcuHEFBQVVz96/f3/w4MHl5eVE5OjoyE5EAACoJyRrAGEOfIOlqqpqa2tbWVl5/vx5trMAAABI1YABA2bMmEFEp0+fDg0NJaIpU6Z07NiRiE6cOLF27VqhUNiyZUumBqDW/frrr0TE5XKPHTvWpk2bOXPmbNu2bf369S4uLj/++GNKSgoRqaurjx07lu2kAAAg0/gSVbdo0eLVq1cCgUBHR4f+Zw58165dMQe+IXBycjp//vyZM2emTp3KdhYAAACp2rJlS9++fcPCwnJycvr37z9nzhzxqaZNmw4cODAwMFBNTY3FhCDH3Nzc9u7dGxkZqaKikpmZuWHDBvEpPp/P4/GEQqG/v3/Tpk1ZDAkAALJPshFAmAPfkA0bNozL5V66dOnDhw9sZwEAAJC2MWPG7Nu378yZM15eXuK58J6enhkZGQcPHmzcuDG78UCO8fn8kJCQLl26FBcXE5Genl6bNm1MTEzU1NQqKiqEQuGff/45e/ZstmMCAICsk6wBhDnwDZmenl63bt2Ki4svX77MdhYAAACZgH2XQDqaNm1669atxYsXa2trZ2RkxMfHv379urCw0NLS8vz583///TfbAQEAoB6QbAoYMwd+69atp0+fZo58NAeeiDAHXo45OTndvXv3zJkzw4YNYzsLAACAtBUWFkZERERHR+fm5mpqavr6+mZlZTVq1EhVVZXtaCD/VFRUlixZsnDhwqioqJSUlEaNGpmbm7dt25btXAAAUG9I1gAizIFv2JycnP76669z584JhUIej8d2HAAAAOnZvn27j4/P+/fvmZeWlpa+vr43b96cOnWqt7c3MwgaoK7x+fwePXqIN2ABAACoOYkbQEQ0ZswY8b7vYp6envPnz6+NSHUoIyMjPT1dIBAIBIKysjIDAwNDQ0MDAwM9PT22o9UPHTp0aNu27atXr+7evYs7DwAAaDiWL1/u6+tLRDwez9zc/NmzZ8xxLpebl5e3cOHCt2/fbty4kdWMAAAAANWRbA2gasjyHPjc3NwlS5aYmZk1a9bM2tp6yJAh7u7uM2fOHDZsWJcuXZo1a9a2bVs/P7/8/Hy2k9YDjo6ORHTmzBm2gwAAAEhJdHQ00/0ZO3ZsZmbm06dPxaecnZ137NjB5/ODgoLu3bvHXkYAAACAr/jGBtCDBw+8vb2dnZ0tLCx++OGH8ePH+/v7Z2Rk1G64WhEZGWlqaurn5xcXFyc+qKioqKioKH4ZHx+/ZMkSU1NT3Lp9lZOTExGJF4ECAACQe4GBgURka2t78OBBHR2dqqc4HI67u7uPjw8RrVu3jp18AAAAADUgcQMoMzNzwoQJXbt2DQgIOH369PPnz+/du3fo0KG//vqrdevWixcvLisrq4ug3yYlJcXBwSErK0tVVXX8+PEhISGJiYn5+fmlpaWlpaX5+fmJiYmhoaHTpk3T0dHJyMiwt7cXCARsp5ZpvXr10tHRiY2NjY2NZTsLAACANPz3339E5OPjw+FwPlvg6upKRE+ePJFqLAAAAABJSLYGUGlpqb29/aNHj4ioSZMm9vb2bdu2FYlEL1++DA8Pf//+/dKlS58+fXry5Mm6SSuxVatW5eXl6enpXbhwwdLS8qOz6urq6urqxsbGgwcPXrhw4cCBA+Pi4lauXMk86IPP4vP5zs7Ou3fvPnLkyJIlS9iOAwAAUOfevHlDRBYWFl8qaN68ORG9fv1aepkAAAAAJCTZCKBNmzYx3Z85c+YkJCQcOHBg0aJFixcvPnz48OvXr2fOnElEISEhwcHBdRJWcmFhYUTk7+//affnI0ZGRtu2bSOi0NBQaSSrz5glwI8cOcJ2EAAAAGnQ1NQkopSUlC8VMKewGTwAAADIMskaQIcPHyYiZ2fn9evXq6urVz2lqakZFBQ0bNgwItq5c2ctRvwe6enpRNSrV6+aFNvY2PB4vNTU1DoOVe8NGDBAT0/v5cuXDx8+ZDsLAABAnevWrRsRHThw4EsFISEhRNS5c2fpZQIAAACQkGQNoJcvXxLR9OnTP3uWw+H8+uuvRMSMEpIFTJcqKSmpJsVpaWlCoVBDQ6NuM9V/PB5v5MiRhEFAAADQMLi7uxPRpk2bNm/e/OnZy5cvr1q1iv5nJSAAAAAA2SRZA6iyspKI2rVr96UCc3NzIiopKfnOWLXF2tqaiLZs2VJRUfHV4g0bNhBRly5d6jxW/cfMAgsODhaJRGxnAQAAqFvOzs4jR44UiUSzZs2ysrKaP38+Eb1//37FihVDhw4dOHBgcXGxjY3NpEmT2E4KAAAA8EWSNYBMTU2p2jUOnz17RkQmJibfGau2zJo1i4hOnTrl6Oh4+/btL3UrHjx4MG7cOKYBxKxkBNXr0aOHsbHxmzdvIiMj2c4CAABQ5w4ePCge5vzPP/8QUUpKysKFC8+dO0dEtra2Z8+e5fMl21sDAAAAQJoku1OZMmWKh4fHunXr+vfv/+lOqBUVFQEBAUQ0duzYWgv4fZycnDw8PDZs2BAeHh4eHt68efNOnTo1btxYV1eXw+FkZ2dnZ2fHxMSIl3X09PR0dHRkN3O9wOFwRo4cuXr16iNHjvTs2ZPtOAAAAHVLUVFx8+bNs2bNOnz4cGxsbFxcXG5ubtu2bdu1azdkyBAHB4cv7RAPAAAAICMkawDNmjXr4sWL586dc3V19ff3rzrSJzY21tvb+9q1a926dfv9999rO+e3CwwMtLS09PX1TUtLEwgEAoHgs2UGBgbLli1zc3OTcrz6y9XVdfXq1UePHl23bh2eeQIAQENgYWGxYsUKtlMAAAAAfIvq/t3+2W6IlpaWsrLy0aNHT5w40b59exMTE5FIlJCQ8OLFC6FQqK6u7uLiEhkZ2b9//zrLLDE3N7cJEyZcv3791q1b6enp6enpAoFAJBLp6+vr6+sbGBj06tWrX79+tdXFqKys3LFjR25ubg3ro6KiiKgmqxTJFCsrK3Nz8xcvXly7dm3gwIFsxwEAAGBZeXm5goIC2ykAAAAAPq+6lsfevXurOVtRUfHkyZMnT55UPVhQUODj4+Pu7i5TDSAi4vP5dnZ2dnZ2UnivBw8ezJgxQ9LvKigoqIswdWrUqFF+fn5HjhxBAwgAAOSPUCh8/fq1QCAwNDSsfn3DgoKCy5cvT548OS8vT2rxAAAAACRSXQNo9uzZ33bR7t27f9s3ygdra+ugoKA3b97UsP7atWtRUVHMjvX1i6urq5+f38mTJzdv3qykpMR2HAAAgNpRWlq6YMGCzZs3izc2tbKy2rp16w8//EBET58+3b9///3793NycrKzs7OysmRn/1MAAACAL6muAbRx40ap5WBLdnY2Myzo4cOHtXVNLpfL7D5WQ97e3lFRUfVxGR0zMzNLS8tHjx6Fh4c7OTmxHQcAAKB22NnZRUREVD3y8OHDAQMG3L59OzMz08nJCR0fAAAAqHfqX9OhdlVUVDx69IjtFPXYmDFjHj16dOTIETSAAABAPhw7dozp/rRp02b69OktW7YUCAT//vtvRESEu7t7bm5uSUmJqqqqo6OjkZGRkpKSUCjU1NTU19eXtfnvAAAAAFVJ1gBKTEy8cePG48ePs7OzP3z4oKura2xsb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width="768" /></p>
 <p>Confidence intervals for the parameter estimates are obtained using the <code>mkinparplot</code> function.</p>
 <pre class="r"><code>mkinparplot(fit)</code></pre>
 <p><img 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" width="768" /></p>
 <p>A comprehensive report of the results is obtained using the <code>summary</code> method for <code>mkinfit</code> objects.</p>
 <pre class="r"><code>summary(fit)</code></pre>
-<pre><code>## mkin version used for fitting:    0.9.50.3 
+<pre><code>## mkin version used for fitting:    0.9.50.4 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Wed Oct 14 16:00:02 2020 
-## Date of summary: Wed Oct 14 16:00:03 2020 
+## Date of fit:     Thu Nov 19 14:46:12 2020 
+## Date of summary: Thu Nov 19 14:46:13 2020 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent * parent
@@ -461,7 +498,7 @@ print(FOCUS_2006_D)</code></pre>
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 421 model solutions performed in 0.154 s
+## Fitted using 401 model solutions performed in 0.148 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -475,11 +512,11 @@ print(FOCUS_2006_D)</code></pre>
 ## f_parent_to_m1   0.5000 deparm
 ## 
 ## Starting values for the transformed parameters actually optimised:
-##                     value lower upper
-## parent_0       100.750000  -Inf   Inf
-## log_k_parent    -2.302585  -Inf   Inf
-## log_k_m1        -2.301586  -Inf   Inf
-## f_parent_ilr_1   0.000000  -Inf   Inf
+##                      value lower upper
+## parent_0        100.750000  -Inf   Inf
+## log_k_parent     -2.302585  -Inf   Inf
+## log_k_m1         -2.301586  -Inf   Inf
+## f_parent_qlogis   0.000000  -Inf   Inf
 ## 
 ## Fixed parameter values:
 ##      value  type
@@ -488,7 +525,6 @@ print(FOCUS_2006_D)</code></pre>
 ## 
 ## Warning(s): 
 ## Observations with value of zero were removed from the data
-## Shapiro-Wilk test for standardized residuals: p =  0.0165
 ## 
 ## Results:
 ## 
@@ -496,20 +532,20 @@ print(FOCUS_2006_D)</code></pre>
 ##   204.4486 212.6365 -97.22429
 ## 
 ## Optimised, transformed parameters with symmetric confidence intervals:
-##                Estimate Std. Error    Lower    Upper
-## parent_0       99.60000    1.57000 96.40000 102.8000
-## log_k_parent   -2.31600    0.04087 -2.39900  -2.2330
-## log_k_m1       -5.24800    0.13320 -5.51800  -4.9770
-## f_parent_ilr_1  0.04096    0.06312 -0.08746   0.1694
-## sigma           3.12600    0.35850  2.39600   3.8550
+##                 Estimate Std. Error   Lower    Upper
+## parent_0        99.60000    1.57000 96.4000 102.8000
+## log_k_parent    -2.31600    0.04087 -2.3990  -2.2330
+## log_k_m1        -5.24700    0.13320 -5.5180  -4.9770
+## f_parent_qlogis  0.05792    0.08926 -0.1237   0.2395
+## sigma            3.12600    0.35850  2.3960   3.8550
 ## 
 ## Parameter correlation:
-##                  parent_0 log_k_parent   log_k_m1 f_parent_ilr_1      sigma
-## parent_0        1.000e+00    5.174e-01 -1.688e-01     -5.471e-01 -3.214e-07
-## log_k_parent    5.174e-01    1.000e+00 -3.263e-01     -5.426e-01  3.168e-07
-## log_k_m1       -1.688e-01   -3.263e-01  1.000e+00      7.478e-01 -1.410e-07
-## f_parent_ilr_1 -5.471e-01   -5.426e-01  7.478e-01      1.000e+00  5.093e-10
-## sigma          -3.214e-07    3.168e-07 -1.410e-07      5.093e-10  1.000e+00
+##                   parent_0 log_k_parent   log_k_m1 f_parent_qlogis      sigma
+## parent_0         1.000e+00    5.174e-01 -1.688e-01      -5.471e-01 -1.171e-06
+## log_k_parent     5.174e-01    1.000e+00 -3.263e-01      -5.426e-01 -8.481e-07
+## log_k_m1        -1.688e-01   -3.263e-01  1.000e+00       7.478e-01  8.209e-07
+## f_parent_qlogis -5.471e-01   -5.426e-01  7.478e-01       1.000e+00  1.305e-06
+## sigma           -1.171e-06   -8.481e-07  8.209e-07       1.305e-06  1.000e+00
 ## 
 ## Backtransformed parameters:
 ## Confidence intervals for internally transformed parameters are asymmetric.
@@ -546,10 +582,10 @@ print(FOCUS_2006_D)</code></pre>
 ##     1   parent    92.50  90.23787  2.262e+00
 ##     3   parent    63.23  74.07319 -1.084e+01
 ##     3   parent    68.99  74.07319 -5.083e+00
-##     7   parent    52.32  49.91206  2.408e+00
-##     7   parent    55.13  49.91206  5.218e+00
-##    14   parent    27.27  25.01257  2.257e+00
-##    14   parent    26.64  25.01257  1.627e+00
+##     7   parent    52.32  49.91207  2.408e+00
+##     7   parent    55.13  49.91207  5.218e+00
+##    14   parent    27.27  25.01258  2.257e+00
+##    14   parent    26.64  25.01258  1.627e+00
 ##    21   parent    11.50  12.53462 -1.035e+00
 ##    21   parent    11.64  12.53462 -8.946e-01
 ##    35   parent     2.85   3.14787 -2.979e-01
@@ -557,25 +593,25 @@ print(FOCUS_2006_D)</code></pre>
 ##    50   parent     0.69   0.71624 -2.624e-02
 ##    50   parent     0.63   0.71624 -8.624e-02
 ##    75   parent     0.05   0.06074 -1.074e-02
-##    75   parent     0.06   0.06074 -7.381e-04
+##    75   parent     0.06   0.06074 -7.382e-04
 ##     1       m1     4.84   4.80296  3.704e-02
 ##     1       m1     5.64   4.80296  8.370e-01
 ##     3       m1    12.91  13.02400 -1.140e-01
 ##     3       m1    12.96  13.02400 -6.400e-02
 ##     7       m1    22.97  25.04476 -2.075e+00
 ##     7       m1    24.47  25.04476 -5.748e-01
-##    14       m1    41.69  36.69002  5.000e+00
-##    14       m1    33.21  36.69002 -3.480e+00
+##    14       m1    41.69  36.69003  5.000e+00
+##    14       m1    33.21  36.69003 -3.480e+00
 ##    21       m1    44.37  41.65310  2.717e+00
 ##    21       m1    46.44  41.65310  4.787e+00
-##    35       m1    41.22  43.31312 -2.093e+00
-##    35       m1    37.95  43.31312 -5.363e+00
-##    50       m1    41.19  41.21831 -2.831e-02
-##    50       m1    40.01  41.21831 -1.208e+00
-##    75       m1    40.09  36.44703  3.643e+00
-##    75       m1    33.85  36.44703 -2.597e+00
-##   100       m1    31.04  31.98163 -9.416e-01
-##   100       m1    33.13  31.98163  1.148e+00
+##    35       m1    41.22  43.31313 -2.093e+00
+##    35       m1    37.95  43.31313 -5.363e+00
+##    50       m1    41.19  41.21832 -2.832e-02
+##    50       m1    40.01  41.21832 -1.208e+00
+##    75       m1    40.09  36.44704  3.643e+00
+##    75       m1    33.85  36.44704 -2.597e+00
+##   100       m1    31.04  31.98162 -9.416e-01
+##   100       m1    33.13  31.98162  1.148e+00
 ##   120       m1    25.15  28.78984 -3.640e+00
 ##   120       m1    33.31  28.78984  4.520e+00</code></pre>
 
@@ -588,7 +624,7 @@ print(FOCUS_2006_D)</code></pre>
 
 // add bootstrap table styles to pandoc tables
 function bootstrapStylePandocTables() {
-  $('tr.header').parent('thead').parent('table').addClass('table table-condensed');
+  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
 }
 $(document).ready(function () {
   bootstrapStylePandocTables();
diff --git a/vignettes/FOCUS_L.html b/vignettes/FOCUS_L.html
index 56965324..1c03f484 100644
--- a/vignettes/FOCUS_L.html
+++ b/vignettes/FOCUS_L.html
@@ -11,7 +11,7 @@
 
 <meta name="author" content="Johannes Ranke" />
 
-<meta name="date" content="2020-10-14" />
+<meta name="date" content="2020-11-19" />
 
 <title>Example evaluation of FOCUS Laboratory Data L1 to L3</title>
 
@@ -1283,6 +1283,45 @@ color: #d14;
 }
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 <style type="text/css">
   code{white-space: pre-wrap;}
@@ -1291,7 +1330,7 @@ color: #d14;
   div.column{display: inline-block; vertical-align: top; width: 50%;}
   div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
   ul.task-list{list-style: none;}
-      </style>
+    </style>
 
 <style type="text/css">code{white-space: pre;}</style>
 <style type="text/css">
@@ -1527,7 +1566,7 @@ div.tocify {
 
 <h1 class="title toc-ignore">Example evaluation of FOCUS Laboratory Data L1 to L3</h1>
 <h4 class="author">Johannes Ranke</h4>
-<h4 class="date">2020-10-14</h4>
+<h4 class="date">2020-11-19</h4>
 
 </div>
 
@@ -1546,10 +1585,10 @@ FOCUS_2006_L1_mkin &lt;- mkin_wide_to_long(FOCUS_2006_L1)</code></pre>
 <p>Since mkin version 0.9-32 (July 2014), we can use shorthand notation like <code>&quot;SFO&quot;</code> for parent only degradation models. The following two lines fit the model and produce the summary report of the model fit. This covers the numerical analysis given in the FOCUS report.</p>
 <pre class="r"><code>m.L1.SFO &lt;- mkinfit(&quot;SFO&quot;, FOCUS_2006_L1_mkin, quiet = TRUE)
 summary(m.L1.SFO)</code></pre>
-<pre><code>## mkin version used for fitting:    0.9.50.3 
+<pre><code>## mkin version used for fitting:    0.9.50.4 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Wed Oct 14 16:00:04 2020 
-## Date of summary: Wed Oct 14 16:00:04 2020 
+## Date of fit:     Thu Nov 19 14:46:14 2020 
+## Date of summary: Thu Nov 19 14:46:14 2020 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent * parent
@@ -1647,17 +1686,17 @@ summary(m.L1.SFO)</code></pre>
 <pre><code>## Warning in sqrt(1/diag(V)): NaNs produced</code></pre>
 <pre><code>## Warning in cov2cor(ans$covar): diag(.) had 0 or NA entries; non-finite result is
 ## doubtful</code></pre>
-<pre><code>## mkin version used for fitting:    0.9.50.3 
+<pre><code>## mkin version used for fitting:    0.9.50.4 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Wed Oct 14 16:00:04 2020 
-## Date of summary: Wed Oct 14 16:00:05 2020 
+## Date of fit:     Thu Nov 19 14:46:15 2020 
+## Date of summary: Thu Nov 19 14:46:15 2020 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 380 model solutions performed in 0.084 s
+## Fitted using 380 model solutions performed in 0.085 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -1752,10 +1791,10 @@ plot(m.L2.FOMC, show_residuals = TRUE,
      main = &quot;FOCUS L2 - FOMC&quot;)</code></pre>
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" /><!-- --></p>
 <pre class="r"><code>summary(m.L2.FOMC, data = FALSE)</code></pre>
-<pre><code>## mkin version used for fitting:    0.9.50.3 
+<pre><code>## mkin version used for fitting:    0.9.50.4 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Wed Oct 14 16:00:05 2020 
-## Date of summary: Wed Oct 14 16:00:05 2020 
+## Date of fit:     Thu Nov 19 14:46:15 2020 
+## Date of summary: Thu Nov 19 14:46:15 2020 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
@@ -1828,12 +1867,12 @@ plot(m.L2.FOMC, show_residuals = TRUE,
 <pre class="r"><code>m.L2.DFOP &lt;- mkinfit(&quot;DFOP&quot;, FOCUS_2006_L2_mkin, quiet = TRUE)
 plot(m.L2.DFOP, show_residuals = TRUE, show_errmin = TRUE,
      main = &quot;FOCUS L2 - DFOP&quot;)</code></pre>
-<p><img 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" 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" /><!-- --></p>
 <pre class="r"><code>summary(m.L2.DFOP, data = FALSE)</code></pre>
-<pre><code>## mkin version used for fitting:    0.9.50.3 
+<pre><code>## mkin version used for fitting:    0.9.50.4 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Wed Oct 14 16:00:05 2020 
-## Date of summary: Wed Oct 14 16:00:05 2020 
+## Date of fit:     Thu Nov 19 14:46:15 2020 
+## Date of summary: Thu Nov 19 14:46:15 2020 
 ## 
 ## Equations:
 ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -1842,7 +1881,7 @@ plot(m.L2.DFOP, show_residuals = TRUE, show_errmin = TRUE,
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 572 model solutions performed in 0.137 s
+## Fitted using 581 model solutions performed in 0.134 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -1860,7 +1899,7 @@ plot(m.L2.DFOP, show_residuals = TRUE, show_errmin = TRUE,
 ## parent_0 93.950000  -Inf   Inf
 ## log_k1   -2.302585  -Inf   Inf
 ## log_k2   -4.605170  -Inf   Inf
-## g_ilr     0.000000  -Inf   Inf
+## g_qlogis  0.000000  -Inf   Inf
 ## 
 ## Fixed parameter values:
 ## None
@@ -1872,19 +1911,19 @@ plot(m.L2.DFOP, show_residuals = TRUE, show_errmin = TRUE,
 ## 
 ## Optimised, transformed parameters with symmetric confidence intervals:
 ##          Estimate Std. Error      Lower     Upper
-## parent_0  93.9500  9.998e-01    91.5900   96.3100
-## log_k1     3.1370  2.376e+03 -5615.0000 5622.0000
-## log_k2    -1.0880  6.285e-02    -1.2370   -0.9394
-## g_ilr     -0.2821  7.033e-02    -0.4484   -0.1158
-## sigma      1.4140  2.886e-01     0.7314    2.0960
+## parent_0   93.950  9.998e-01    91.5900   96.3100
+## log_k1      3.117  1.929e+03 -4558.0000 4564.0000
+## log_k2     -1.088  6.285e-02    -1.2370   -0.9394
+## g_qlogis   -0.399  9.946e-02    -0.6342   -0.1638
+## sigma       1.414  2.886e-01     0.7314    2.0960
 ## 
 ## Parameter correlation:
-##            parent_0     log_k1     log_k2      g_ilr      sigma
-## parent_0  1.000e+00  5.157e-07  2.376e-09  2.665e-01 -6.837e-09
-## log_k1    5.157e-07  1.000e+00  8.434e-05 -1.659e-04 -7.786e-06
-## log_k2    2.376e-09  8.434e-05  1.000e+00 -7.903e-01 -1.263e-08
-## g_ilr     2.665e-01 -1.659e-04 -7.903e-01  1.000e+00  3.248e-08
-## sigma    -6.837e-09 -7.786e-06 -1.263e-08  3.248e-08  1.000e+00
+##           parent_0     log_k1     log_k2   g_qlogis      sigma
+## parent_0 1.000e+00  6.459e-07  9.147e-11  2.665e-01  8.413e-11
+## log_k1   6.459e-07  1.000e+00  1.061e-04 -2.087e-04 -9.802e-06
+## log_k2   9.147e-11  1.061e-04  1.000e+00 -7.903e-01 -2.429e-09
+## g_qlogis 2.665e-01 -2.087e-04 -7.903e-01  1.000e+00  4.049e-09
+## sigma    8.413e-11 -9.802e-06 -2.429e-09  4.049e-09  1.000e+00
 ## 
 ## Backtransformed parameters:
 ## Confidence intervals for internally transformed parameters are asymmetric.
@@ -1892,7 +1931,7 @@ plot(m.L2.DFOP, show_residuals = TRUE, show_errmin = TRUE,
 ## for estimators of untransformed parameters.
 ##          Estimate   t value    Pr(&gt;t)   Lower   Upper
 ## parent_0  93.9500 9.397e+01 2.036e-12 91.5900 96.3100
-## k1        23.0400 4.303e-04 4.998e-01  0.0000     Inf
+## k1        22.5800 5.303e-04 4.998e-01  0.0000     Inf
 ## k2         0.3369 1.591e+01 4.697e-07  0.2904  0.3909
 ## g          0.4016 1.680e+01 3.238e-07  0.3466  0.4591
 ## sigma      1.4140 4.899e+00 8.776e-04  0.7314  2.0960
@@ -1904,7 +1943,7 @@ plot(m.L2.DFOP, show_residuals = TRUE, show_errmin = TRUE,
 ## 
 ## Estimated disappearance times:
 ##          DT50  DT90 DT50back DT50_k1 DT50_k2
-## parent 0.5335 5.311    1.599 0.03009   2.058</code></pre>
+## parent 0.5335 5.311    1.599  0.0307   2.058</code></pre>
 <p>Here, the DFOP model is clearly the best-fit model for dataset L2 based on the chi^2 error level criterion. However, the failure to calculate the covariance matrix indicates that the parameter estimates correlate excessively. Therefore, the FOMC model may be preferred for this dataset.</p>
 </div>
 </div>
@@ -1930,10 +1969,10 @@ plot(mm.L3)</code></pre>
 <p>The objects returned by mmkin are arranged like a matrix, with models as a row index and datasets as a column index.</p>
 <p>We can extract the summary and plot for <em>e.g.</em> the DFOP fit, using square brackets for indexing which will result in the use of the summary and plot functions working on mkinfit objects.</p>
 <pre class="r"><code>summary(mm.L3[[&quot;DFOP&quot;, 1]])</code></pre>
-<pre><code>## mkin version used for fitting:    0.9.50.3 
+<pre><code>## mkin version used for fitting:    0.9.50.4 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Wed Oct 14 16:00:05 2020 
-## Date of summary: Wed Oct 14 16:00:06 2020 
+## Date of fit:     Thu Nov 19 14:46:16 2020 
+## Date of summary: Thu Nov 19 14:46:16 2020 
 ## 
 ## Equations:
 ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -1942,7 +1981,7 @@ plot(mm.L3)</code></pre>
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 373 model solutions performed in 0.084 s
+## Fitted using 376 model solutions performed in 0.081 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -1960,7 +1999,7 @@ plot(mm.L3)</code></pre>
 ## parent_0 97.800000  -Inf   Inf
 ## log_k1   -2.302585  -Inf   Inf
 ## log_k2   -4.605170  -Inf   Inf
-## g_ilr     0.000000  -Inf   Inf
+## g_qlogis  0.000000  -Inf   Inf
 ## 
 ## Fixed parameter values:
 ## None
@@ -1975,16 +2014,16 @@ plot(mm.L3)</code></pre>
 ## parent_0  97.7500    1.01900 94.5000 101.000000
 ## log_k1    -0.6612    0.10050 -0.9812  -0.341300
 ## log_k2    -4.2860    0.04322 -4.4230  -4.148000
-## g_ilr     -0.1229    0.03727 -0.2415  -0.004343
+## g_qlogis  -0.1739    0.05270 -0.3416  -0.006142
 ## sigma      1.0170    0.25430  0.2079   1.827000
 ## 
 ## Parameter correlation:
-##            parent_0     log_k1     log_k2      g_ilr      sigma
-## parent_0  1.000e+00  1.732e-01  2.282e-02  4.009e-01 -6.868e-07
-## log_k1    1.732e-01  1.000e+00  4.945e-01 -5.809e-01  3.175e-07
-## log_k2    2.282e-02  4.945e-01  1.000e+00 -6.812e-01  7.631e-07
-## g_ilr     4.009e-01 -5.809e-01 -6.812e-01  1.000e+00 -8.694e-07
-## sigma    -6.868e-07  3.175e-07  7.631e-07 -8.694e-07  1.000e+00
+##            parent_0     log_k1     log_k2   g_qlogis      sigma
+## parent_0  1.000e+00  1.732e-01  2.282e-02  4.009e-01 -9.671e-08
+## log_k1    1.732e-01  1.000e+00  4.945e-01 -5.809e-01  7.148e-07
+## log_k2    2.282e-02  4.945e-01  1.000e+00 -6.812e-01  1.022e-06
+## g_qlogis  4.009e-01 -5.809e-01 -6.812e-01  1.000e+00 -7.929e-07
+## sigma    -9.671e-08  7.148e-07  1.022e-06 -7.929e-07  1.000e+00
 ## 
 ## Backtransformed parameters:
 ## Confidence intervals for internally transformed parameters are asymmetric.
@@ -2038,17 +2077,17 @@ plot(mm.L4)</code></pre>
 <p><img 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" /><!-- --></p>
 <p>The <span class="math inline"><em>χ</em><sup>2</sup></span> error level of 3.3% as well as the plot suggest that the SFO model fits very well. The error level at which the <span class="math inline"><em>χ</em><sup>2</sup></span> test passes is slightly lower for the FOMC model. However, the difference appears negligible.</p>
 <pre class="r"><code>summary(mm.L4[[&quot;SFO&quot;, 1]], data = FALSE)</code></pre>
-<pre><code>## mkin version used for fitting:    0.9.50.3 
+<pre><code>## mkin version used for fitting:    0.9.50.4 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Wed Oct 14 16:00:06 2020 
-## Date of summary: Wed Oct 14 16:00:06 2020 
+## Date of fit:     Thu Nov 19 14:46:16 2020 
+## Date of summary: Thu Nov 19 14:46:16 2020 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent * parent
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 142 model solutions performed in 0.029 s
+## Fitted using 142 model solutions performed in 0.03 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -2102,10 +2141,10 @@ plot(mm.L4)</code></pre>
 ##        DT50 DT90
 ## parent  106  352</code></pre>
 <pre class="r"><code>summary(mm.L4[[&quot;FOMC&quot;, 1]], data = FALSE)</code></pre>
-<pre><code>## mkin version used for fitting:    0.9.50.3 
+<pre><code>## mkin version used for fitting:    0.9.50.4 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Wed Oct 14 16:00:06 2020 
-## Date of summary: Wed Oct 14 16:00:06 2020 
+## Date of fit:     Thu Nov 19 14:46:16 2020 
+## Date of summary: Thu Nov 19 14:46:16 2020 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
@@ -2191,7 +2230,7 @@ plot(mm.L4)</code></pre>
 
 // add bootstrap table styles to pandoc tables
 function bootstrapStylePandocTables() {
-  $('tr.header').parent('thead').parent('table').addClass('table table-condensed');
+  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
 }
 $(document).ready(function () {
   bootstrapStylePandocTables();
diff --git a/vignettes/web_only/mkin_benchmarks.rda b/vignettes/web_only/mkin_benchmarks.rda
index 0570612c..576e7110 100644
--- a/vignettes/web_only/mkin_benchmarks.rda
+++ b/vignettes/web_only/mkin_benchmarks.rda