diff --git a/R_code.Rmd b/R_code.Rmd
index fd939e1ab34ed81ccf5fbd8848eadb5c246a6da0..17ed87dfe27a0a82eed36960c7a93ad128696223 100644
--- a/R_code.Rmd
+++ b/R_code.Rmd
@@ -1952,7 +1952,7 @@ theme_update(axis.text.y=element_text(size=10, face="bold", colour="Black"), axi
 p3<-ggplot(FREQ, aes(x=Case, y=FREQ)) + ggtitle(title) + geom_bar(aes( fill = Case), stat="identity", position="dodge")+ scale_fill_manual(values=c("Case 1"="red3", "Case 2"="paleturquoise3", "Case 3"="royalblue","Case 7"="cornflowerblue", "Case 4"="palegreen","Case 5"="seagreen4", "Case 6"="darkseagreen4" ), 
                        name="Sampling design and background corrections",
                        breaks=c("Case 1", "Case 2", "Case 3","Case 7", "Case 4", "Case 5", "Case 6"),
-                       labels=c("R design and Random", "Transects and Random", "Transects and Targeted","Transects and Distance", "Subjective and Random", "Subjective and Targeted", "Subjective Distance"))  + facet_wrap( ~ var, labeller = labeller(var=predictor_case), scales="free") 
+                       labels=c("Random design and Random", "Transects and Random", "Transects and Targeted","Transects and Distance", "Subjective and Random", "Subjective and Targeted", "Subjective Distance"))  + facet_wrap( ~ var, labeller = labeller(var=predictor_case), scales="free") 
 
 p3
 
@@ -1970,7 +1970,7 @@ theme_update(axis.text.y=element_text(size=10, face="bold", colour="Black"), axi
 p5<-ggplot(PARAM_tot2, aes(x =var, y=value, group = Case,  fill = Case)) + ggtitle(title) + geom_boxplot(colour="black") + geom_hline(data = q, aes(yintercept = value), color = 'red', size = 0.75) + scale_fill_manual(values=c("red3", "paleturquoise3", "royalblue","cornflowerblue", "palegreen","seagreen4", "darkseagreen4" ), 
                        name="Sampling design and background corrections",
                        breaks=c("Case 1", "Case 2", "Case 3","Case 7", "Case 4", "Case 5", "Case 6"),
-                       labels=c("R design and Random", "Transects and Random", "Transects and Targeted","Transects and Distance", "Subjective and Random", "Subjective and Targeted", "Subjective Distance")) + facet_wrap( ~ var, labeller = labeller(var=predictor_case), scales="free") 
+                       labels=c("Random design and Random", "Transects and Random", "Transects and Targeted","Transects and Distance", "Subjective and Random", "Subjective and Targeted", "Subjective Distance")) + facet_wrap( ~ var, labeller = labeller(var=predictor_case), scales="free") 
 
 p5
 ```
@@ -2032,7 +2032,7 @@ theme_update(axis.text.y=element_text(size=10, face="bold", colour="Black"), axi
 ggplot(Fit_PARAM_tot, aes(x =var, y=value, group = Case,  fill = Case)) + ggtitle(title) + geom_boxplot(colour="black") + scale_fill_manual(values=c("red3", "paleturquoise3", "royalblue","cornflowerblue", "palegreen","seagreen4", "darkseagreen4" ), 
                        name="Sampling design and background corrections",
                        breaks=c("Case 1", "Case 2", "Case 3","Case 7", "Case 4", "Case 5", "Case 6"),
-                       labels=c("R design and Random", "Transects and Random", "Transects and Targeted","Transects and Distance", "Subjective and Random", "Subjective and Targeted", "Subjective Distance")) + facet_wrap( ~ var, scales="free") 
+                       labels=c("Random design and Random", "Transects and Random", "Transects and Targeted","Transects and Distance", "Subjective and Random", "Subjective and Targeted", "Subjective Distance")) + facet_wrap( ~ var, scales="free") 
 
 ```
 
diff --git a/R_code.html b/R_code.html
index 91c6fd4b8acd282d699a4f911d647eec95180004..95bd2e32cbd037a6c8aea42bc17b957a6b9c449c 100644
--- a/R_code.html
+++ b/R_code.html
@@ -2299,13 +2299,13 @@ p3 &lt;-<span class="st"> </span><span class="kw">ggplot</span>(FREQ, <span clas
     <span class="st">`</span><span class="dt">Case 2</span><span class="st">`</span> =<span class="st"> &quot;paleturquoise3&quot;</span>, <span class="st">`</span><span class="dt">Case 3</span><span class="st">`</span> =<span class="st"> &quot;royalblue&quot;</span>, <span class="st">`</span><span class="dt">Case 7</span><span class="st">`</span> =<span class="st"> &quot;cornflowerblue&quot;</span>, 
     <span class="st">`</span><span class="dt">Case 4</span><span class="st">`</span> =<span class="st"> &quot;palegreen&quot;</span>, <span class="st">`</span><span class="dt">Case 5</span><span class="st">`</span> =<span class="st"> &quot;seagreen4&quot;</span>, <span class="st">`</span><span class="dt">Case 6</span><span class="st">`</span> =<span class="st"> &quot;darkseagreen4&quot;</span>), 
     <span class="dt">name =</span> <span class="st">&quot;Sampling design and background corrections&quot;</span>, <span class="dt">breaks =</span> <span class="kw">c</span>(<span class="st">&quot;Case 1&quot;</span>, 
-        <span class="st">&quot;Case 2&quot;</span>, <span class="st">&quot;Case 3&quot;</span>, <span class="st">&quot;Case 7&quot;</span>, <span class="st">&quot;Case 4&quot;</span>, <span class="st">&quot;Case 5&quot;</span>, <span class="st">&quot;Case 6&quot;</span>), <span class="dt">labels =</span> <span class="kw">c</span>(<span class="st">&quot;R design and Random&quot;</span>, 
+        <span class="st">&quot;Case 2&quot;</span>, <span class="st">&quot;Case 3&quot;</span>, <span class="st">&quot;Case 7&quot;</span>, <span class="st">&quot;Case 4&quot;</span>, <span class="st">&quot;Case 5&quot;</span>, <span class="st">&quot;Case 6&quot;</span>), <span class="dt">labels =</span> <span class="kw">c</span>(<span class="st">&quot;Random design and Random&quot;</span>, 
         <span class="st">&quot;Transects and Random&quot;</span>, <span class="st">&quot;Transects and Targeted&quot;</span>, <span class="st">&quot;Transects and Distance&quot;</span>, 
         <span class="st">&quot;Subjective and Random&quot;</span>, <span class="st">&quot;Subjective and Targeted&quot;</span>, <span class="st">&quot;Subjective Distance&quot;</span>)) +<span class="st"> </span>
 <span class="st">    </span><span class="kw">facet_wrap</span>(~var, <span class="dt">labeller =</span> <span class="kw">labeller</span>(<span class="dt">var =</span> predictor_case), <span class="dt">scales =</span> <span class="st">&quot;free&quot;</span>)
 
 p3</code></pre></div>
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bRFRUX169dftmzZ0aNH58yZI61SbGzs3bt3JZ+PHDkivQifPHny06dPnz17tnfvXumqLnv27Kk0oz4AAGipS5cunZCxb9++uXPnnj17VhLatm1b6ftzqh8dzp07J70P++OPP16/fj0wMHDz5s0GBgaSLx88eCC5fTlo0KDFixdL363U09NbvHjx4sWLCe96Dh48WPKhoqJC9h6r7LMN6c161bclLi5O+rnqDM8EzHdCJSUlJRYWFitXrtyzZ8+cOXOkL0lnZWWFhoZKPqv1DEEoFEp3slgsfvjwoTSt7GdpHLlCQ0P/++8/6X+nTZt25MiRVatWGRgYyN1qpf9STHZXQECA9MHk5MmTr169GhkZ+e+//3bo0EHy5Z07d2RXE6iE8CtlZV8xJ/t0qm7durJBskOLcnJyqs2qY8eOXbp06dKli4WFhez3R48elX7u0aOH6oU6Ozvv2LFj48aNlQpq0aLF2rVrd+3a5erqKv0yJCSk2poDACtYvGithJVWz+RiVqG+XZXjJpMDjXKY5KzW42mdOnV+++03adrt27cnJCScP39e8l9jY+NKg/wqkRwfu3TpIlu9xYsXS4Z0qLLPAwMDKYrS09Nr2bKliYkJXQXUd06YkJBw8OBBaSZjx449dOjQ6tWrjYyM5B7vmGdOPvVV6yk0562goKDA2Nj4l19+2b17t+zyJZmZmdK5x1Q/dVf0b6dQDcm7XcUTTgAAAABtgSVUAEAr2djY/Prrr+vXr5e+tkL976yJFy5coCiqQYMGffr0mTp1aseOHclZnT59WvruhZeX16pVqySvb9rY2DRo0GDr1q2SoJMnT1Z9LUYgEBw5ckRSRI8ePVq1aiW9+XLw4EFnZ2exWCydGbVDhw6+vr46OjoURfXr12/r1q1TpkyhKKqkpKTqq5kAAKCNCK+29+jRY8uWLZJbsawcHaSzVlhbWy9cuFDy2cLC4smTJ5LMc3NzMzIyjI2NldiQQYMGbdy4UfL54cOHktXWKZmb9e3bt5e8TsrKtsi+Vkg3ibdcSu8EExOTCxcuSF537t+/f61atbZt2yYJko4mUesZAkVRbm5ux44dk3x5//79ESNGSD4HBwdLPrRq1Yq8fsqJEyekn3/99deJEydSFOXo6Ojo6Dhs2DDZcyRKtb8Uk90lnUedoqjJkydLHgV17tx5+fLlkopRFBUVFVXpWSNDqu8r5oqKiqSfK00GU6tWLV1dXckD10qv0TN3+vRpPz8/yWcLCwsXFxcVC7W3t//nn38kP05zc/Nx48ZJvq9du/bx48clM3z069evf//+aWlp1P8dLwUAasXiRasstlo9k0OVQn27KsdNJgca5TDJWd3HU0dHR3d394sXL1IUFRMT4+3tLd1RK1asUGW5B1X2OUVRs2bNmjVrFnn5HvWdE/r5+UkrP3ny5GXLllEU1atXr169eo0cObLSFAss3lpR6yk0562gfv36fn5+kn7AycmpoqLi9OnT0kzatm3Lyp5U6G+naA3JG6jWE04AAAAA/sAMHACgrX744YcrV664u7sbGhpWDc3Ly7t27dqYMWMOHDhAzkd6618oFM6cOVN28u0JEyZIlz59/Phx1Zdv+vfvL3uvbfDgwdKJTCMjIysqKhITE1NTUyXfODs7Sy6MJRwcHKRvVISHh1e3uQAAoMW++eYbX19f6QGLlaPD4cOHQ0JCQkJCpNNfl5SUhISE3Lt3Txqn0iMHhSosfddT+hpiSkpKQkKC5Evpq72sbIvsVPAKLTqu9E5wc3OTnaze3t5e+lm6JIdazxAoiurcubN0tMrDhw8lXxYVFUn3FXlKiYqKCumzEyMjIy8vL2mQlZVV1bXSVflLMdldso9/xo8fv3fv3tjYWLFYbGdn9+J/MV/BvRIV95XSqr5iK93M/Px8iqKeP38+qwq6Bx5isXj//v2rV6+W/Ld+/fq7du2qOg17tYVWMmjQIOmP08rKSvp9586dJU9HKIoSCoXSCfyV7hYAQAlsXbTKYqvVMzlUKdS3q3LcZHKgUU61OWvmeOrr6yud3kB6NuXk5CQZxqc0VfZ59+7d586dSx69QanznDAoKEjyQVdXV3aCihYtWowdO7ZSNVi8taLWU2jOW4Gzs7O0H6Ao6ttvv62UCSt7UqG/naI1JFPrCScAAAAAf2AGDgDQYlZWVhs2bBCJRDExMZGRkS9fvoyKinr79q00QkVFxebNmx0cHOheaRKLxdKFP62srCotOl63bt2OHTtKrsAzMzO/fPnSuHFj2QiO/4+9ew+Tq67vB35m75tdQm6Qq1wMCUEiIpEAQUQQgiGPWsC0URQMl1qR8kABaSGiIm2FRpQ8qYJom4eCgCQVAraUCJQo8kADCQFJfgYj4RpCQm6bZLO3+f1xfpzf9Gx2s7O7s9/Z2dfrr7MzZ2e++5mZPZ9z5n2+54QTcn/MZDLHHXdc/ICtra1vvfXW2rVrk3tvvfXWW2+9da/DMMEjQGl76623zjrrrDvuuOMTn/hEFEW9snWIN0kNDQ1PPfXU8uXLf//7369ataoXv5qdMWPGypUroyjasGHDK6+8MmHChNx5s5Pvy3vlb8kNbeT1PU23i5B74DiKovYnvxa6Q/jABz6QyWRmzpx5xx13RFG0ffv2lStXTpky5bnnnkum9U4mJN+rt99+O/k6/9hjj019AXP88cfHp3cnevJK7bNcURSddNJJyTO+8cYbt9xyyy233DJmzJhTTjnlk5/85PHHH19VVdXJn9O5HtYqL/vvv3+yvGvXrty72trakrBRTU1NFEXvvvvuY489lnqE1BQasYaGhr/7u7+L56uPomjYsGE/+tGPDjvssG48aUoy5XsURblfFOXenroL6Es932lN6a1PfVc2VV3/397D7WZXNjTds89H7pvt6dChQ6+99tqrr746uWXQoEHXX399T/4597DmU6dO7eKzF6InjD8R8S2HH354KuH0yU9+MvcKHfk+eOcK10IXw6cgdTWc1HXZot6oZL6vXb4j7FxBG04AgOJhBg6g3ysrK5s0adLs2bNvvPHGJUuWPPPMM9ddd11yHDybzSZzbrfX2NiYXHh4r3O25+5btp+2OrWDnXqQ1157rYvTa3flMuoAFL9HH330/7xv9erVTz75ZO55nD/84Q/jhV7ZOrS2tt52223HHXfcZZdddueddz733HO9e2J9cj5lFEXLli2Loig5WD9p0qRkXuJe+VuGDRuWLHd+ye2Ubhdhn99YFLpDiBdmzpyZ3Bif9/mb3/wm/nHChAmdXxMk90nbX7q+/S09eaW68gXPjBkzzjvvvNSab7311t13333xxRefcsopDzzwQFcG0JGe1CovyRnS0f++skkURXv27EnOl91rSqMj69at+/znP5+kNyZMmLBo0aLcudN78qQdvToSG1BUerLTmtJbn/qubKq6/r+9h9vNwv3L2ucj99n2dObMmbkNz/Tp09s/eF56WPPcwXSuED1hQ0NDcg2O9m/FcePGpW7pxUMrhWuhi+FTkNcbvhOdVDLf1y6lh39moRtOAIAiYQYOoNQMGTLkvPPOGz9+/AUXXBDf0snlQnNPr9nrrNS5J0G2n1y0/aU9c28pLy/PnY7y5JNPTuakTcldDYDSUFZWNmrUqLlz5/7qV7/avn17FEVr165tbW3tra3D7bffnpwzV11dPXXq1A9/+MPHHXfcE088sXDhwp6Pf/To0cccc8zzzz8fRdGyZcsuuOCCZILx3NkOeuVv+fCHP/zII4/Ey8uXL//Sl76019W+9a1vxSeARlE0b968CRMmFK4Ihe4Q4oVJkyYdeuihcaPy3//931deeWUy8/Y+rwmS+5V/as6GqF0IIOqlV6oTmUzmuuuumzNnzgMPPPBf//Vfa9asyb1306ZN11xzzeDBg0899dTuPX5PapWXQYMGVVRUxF/A7NixI/eu3C8zDjzwwC4+4LJly6644orkXXT66affdNNNdXV1BX1SoMjltdNaIF3ZVHX9f3sPt5sB9dn29M4773zvvfeSHx9++OGLLrqoJwHEHta869+jF6InrKmpyWQycUIxmU8rsWfPnr3+VhcfvHNF2z32jZ5XMt/XrncVuuEEACgSAhxA/7N169Zp06bFy2PGjPn1r3/dfp3jjjsu2aWMvzbbq4qKiqFDh27ZsiWKovXr17e1taV2U1999dV4IZPJ5B7ZSd2byD3uNnLkyGTK6yiKTjnllNzzsAEYCCoqKkaPHh1viZqamrZs2TJixIjcDUr3tg5NTU233357vHzIIYfcddddBxxwQPzjww8/3BsDj6IomjFjRnywfvny5StXrty8eXN8e+7B+p7/LVEUHX/88cnyo48++uabb44dOza1TnNz85IlS5ID3yNGjChoEQrdISS/O3PmzAULFkRRFE+tn8xrvc9rgowcObKysjI+Z7T9137tB9Arr9Q+jRkz5pJLLrnkkkveeOONpUuXLl269Lnnnkvuvfvuu7t9PL0ntcr3iYYPH/7OO+/ET5R717p165LlQw45JIqi0047Lfc6CO09++yzf/VXf5WcqHrZZZd97Wtfa/+lSF5PCvQLvbjTWiBd3FRFXfvf3sPtZkB9sz198803U9eqaGlp+eY3v/nzn/+829HJvqx5r/eEVVVVo0aNevvtt6O9Xa2j/QvRW21MMXePfaPnlcz3tSuEwjWcAABFwjnfQP+z//77DxkypLW1tbW19fXXX/+f//mf9uusXr06mW66/aSOuZL5qzdv3vzEE0/k3vXSSy+9/PLL8fIRRxzRftrqBx54IJkhM4qiTZs2Pf744/Hy4MGDDz744MmTJyf3po7vZ7PZ//iP/1iyZMmSJUt++9vfdjJCAPq15LvbKIriYF/Ptw6vv/56khE8/fTTk0PP2Ww22XL13BlnnBGfndnS0nLLLbfEN06cOPHQQw9N1umVLd2RRx55xBFHxMutra3f+9732traUuvceuutSXrjyCOPHDp0aKGLUNAOIbnrzDPPT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width="1440" style="display: block; margin: auto;" /></p>
 <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Using ggplot2</span>
 q &lt;-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">var =</span> <span class="kw">c</span>(<span class="st">&quot;Slope_cropped_2m&quot;</span>, <span class="st">&quot;can_10_20_cropped&quot;</span>, <span class="st">&quot;Simpson_cropped&quot;</span>), 
     <span class="dt">value =</span> <span class="kw">c</span>(B4, B5, B2), <span class="dt">Name =</span> <span class="kw">c</span>(<span class="st">&quot;True Value&quot;</span>, <span class="st">&quot;True Value&quot;</span>, <span class="st">&quot;True Value&quot;</span>))
@@ -2323,13 +2323,13 @@ p5 &lt;-<span class="st"> </span><span class="kw">ggplot</span>(PARAM_tot2, <spa
     <span class="dt">color =</span> <span class="st">&quot;red&quot;</span>, <span class="dt">size =</span> <span class="fl">0.75</span>) +<span class="st"> </span><span class="kw">scale_fill_manual</span>(<span class="dt">values =</span> <span class="kw">c</span>(<span class="st">&quot;red3&quot;</span>, <span class="st">&quot;paleturquoise3&quot;</span>, 
     <span class="st">&quot;royalblue&quot;</span>, <span class="st">&quot;cornflowerblue&quot;</span>, <span class="st">&quot;palegreen&quot;</span>, <span class="st">&quot;seagreen4&quot;</span>, <span class="st">&quot;darkseagreen4&quot;</span>), 
     <span class="dt">name =</span> <span class="st">&quot;Sampling design and background corrections&quot;</span>, <span class="dt">breaks =</span> <span class="kw">c</span>(<span class="st">&quot;Case 1&quot;</span>, 
-        <span class="st">&quot;Case 2&quot;</span>, <span class="st">&quot;Case 3&quot;</span>, <span class="st">&quot;Case 7&quot;</span>, <span class="st">&quot;Case 4&quot;</span>, <span class="st">&quot;Case 5&quot;</span>, <span class="st">&quot;Case 6&quot;</span>), <span class="dt">labels =</span> <span class="kw">c</span>(<span class="st">&quot;R design and Random&quot;</span>, 
+        <span class="st">&quot;Case 2&quot;</span>, <span class="st">&quot;Case 3&quot;</span>, <span class="st">&quot;Case 7&quot;</span>, <span class="st">&quot;Case 4&quot;</span>, <span class="st">&quot;Case 5&quot;</span>, <span class="st">&quot;Case 6&quot;</span>), <span class="dt">labels =</span> <span class="kw">c</span>(<span class="st">&quot;Random design and Random&quot;</span>, 
         <span class="st">&quot;Transects and Random&quot;</span>, <span class="st">&quot;Transects and Targeted&quot;</span>, <span class="st">&quot;Transects and Distance&quot;</span>, 
         <span class="st">&quot;Subjective and Random&quot;</span>, <span class="st">&quot;Subjective and Targeted&quot;</span>, <span class="st">&quot;Subjective Distance&quot;</span>)) +<span class="st"> </span>
 <span class="st">    </span><span class="kw">facet_wrap</span>(~var, <span class="dt">labeller =</span> <span class="kw">labeller</span>(<span class="dt">var =</span> predictor_case), <span class="dt">scales =</span> <span class="st">&quot;free&quot;</span>)
 
 p5</code></pre></div>
-<p><img 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width="1440" style="display: block; margin: auto;" /></p>
 <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(dplyr)
 grouped &lt;-<span class="st"> </span><span class="kw">group_by</span>(PARAM_tot2, Case, var)
 variance &lt;-<span class="st"> </span><span class="kw">summarise</span>(grouped, <span class="dt">variance =</span> <span class="kw">var</span>(value))
@@ -2405,11 +2405,11 @@ title =<span class="st"> &quot;Linear regression (true Intensity (&quot;</span>
 <span class="st">    </span><span class="kw">ggtitle</span>(title) +<span class="st"> </span><span class="kw">geom_boxplot</span>(<span class="dt">colour =</span> <span class="st">&quot;black&quot;</span>) +<span class="st"> </span><span class="kw">scale_fill_manual</span>(<span class="dt">values =</span> <span class="kw">c</span>(<span class="st">&quot;red3&quot;</span>, 
     <span class="st">&quot;paleturquoise3&quot;</span>, <span class="st">&quot;royalblue&quot;</span>, <span class="st">&quot;cornflowerblue&quot;</span>, <span class="st">&quot;palegreen&quot;</span>, <span class="st">&quot;seagreen4&quot;</span>, 
     <span class="st">&quot;darkseagreen4&quot;</span>), <span class="dt">name =</span> <span class="st">&quot;Sampling design and background corrections&quot;</span>, <span class="dt">breaks =</span> <span class="kw">c</span>(<span class="st">&quot;Case 1&quot;</span>, 
-    <span class="st">&quot;Case 2&quot;</span>, <span class="st">&quot;Case 3&quot;</span>, <span class="st">&quot;Case 7&quot;</span>, <span class="st">&quot;Case 4&quot;</span>, <span class="st">&quot;Case 5&quot;</span>, <span class="st">&quot;Case 6&quot;</span>), <span class="dt">labels =</span> <span class="kw">c</span>(<span class="st">&quot;R design and Random&quot;</span>, 
+    <span class="st">&quot;Case 2&quot;</span>, <span class="st">&quot;Case 3&quot;</span>, <span class="st">&quot;Case 7&quot;</span>, <span class="st">&quot;Case 4&quot;</span>, <span class="st">&quot;Case 5&quot;</span>, <span class="st">&quot;Case 6&quot;</span>), <span class="dt">labels =</span> <span class="kw">c</span>(<span class="st">&quot;Random design and Random&quot;</span>, 
     <span class="st">&quot;Transects and Random&quot;</span>, <span class="st">&quot;Transects and Targeted&quot;</span>, <span class="st">&quot;Transects and Distance&quot;</span>, 
     <span class="st">&quot;Subjective and Random&quot;</span>, <span class="st">&quot;Subjective and Targeted&quot;</span>, <span class="st">&quot;Subjective Distance&quot;</span>)) +<span class="st"> </span>
 <span class="st">    </span><span class="kw">facet_wrap</span>(~var, <span class="dt">scales =</span> <span class="st">&quot;free&quot;</span>)</code></pre></div>
-<p><img 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width="1440" style="display: block; margin: auto;" /></p>
 </div>
 <div id="c-plot-predicted-maps" class="section level2">
 <h2>c) Plot predicted maps</h2>
@@ -5322,7 +5322,7 @@ title =<span class="st"> &quot;Sex sub-groups ratio from number of indices the l
 p &lt;-<span class="st"> </span><span class="kw">ggplot</span>(LANDSCAPE_ratio, <span class="kw">aes</span>(<span class="dt">x =</span> case, <span class="dt">y =</span> ratio)) +<span class="st"> </span><span class="kw">ggtitle</span>(title) +<span class="st"> </span><span class="kw">geom_boxplot</span>(<span class="dt">fill =</span> <span class="st">&quot;darkgreen&quot;</span>)
 
 p</code></pre></div>
-<p><img 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3ddtWrVe/fupaSkNGnSxI6ad+jQQYkMUbO1UxYfH291uGmLWrVqJR6WWbcJHDo8v3roJqnTRTcrFkPspk7wce8EDuXCSEFbtmzx9va2dRePPfbY/fv3BSsomsDx559/CiYzlcPT03PFihVy9qVaEzbruHOrZv8wNzfXvgM+atQomeNwqHlO7eNIG1H6ZqGg4hnBzBo1VdXinmqXkObPE8yuEA0AwD2QwAEAUFvDhg0F/fgGDRrExcWpU5O0tLT27ds7cteRx8/P78iRI4Id5ebmtmnTRrCFypUrp6amFip1+vRp8X5nzJihxGH5+OOPHT8meQICAvK+0rBItwkcjlwVUVFRUpPTO11iYmKdOnXsqKTRaNyyZYsSCRwPHz4MDg6WWkHqPUdmZqbVmYbkCwkJuXjxovjQ6TaB4/vvv/fz87Pvhz///PMZGRlWq61aA3eEcy+znJwcW78UFyhVqtTNmzcL7UJXCRzqNyhbqZnA4SpBySx8wR8eHm7frrt27erIh4CLFi1y/HQXJThlo0aNsvsTSYPBMGHCBMF+dZvAocPzq3k3SbUuulmZGGI31YKPGydwKBpG8u3evdvuL8g7dOggWKpcAsfp06fLly9vX50L8vLy2r59u3hfajZhs447t2r2DydPnmz3vqyeULPq59Q+drcRFW4WCiqeEcysRVNVLe6peQlp/jzBJaIBALgHEjgAAGobMmSIuB9ftmzZsWPHFpreWwmjRo1y/K4jT1BQ0F9//SXY1+XLl8U3yTNnzixURPwAt379+vI/sJDvwoULdnyKIdCsWTOpcVl1m8DhoDFjxth/AmQzmUydOnWyu5KBgYGCmVntTuD45z//Kdip1HuODz74wO4fYlH9+vXT09MFR0+3CRzlypWz8zcbDAaDYdiwYeI6q9nAHeHcy2zx4sVO/MkGg6FHjx6FdqGrBA71G5St1EzgcJWgZBa+4NdKSEhIZmamU066zFNWqlQpRypcqlQpwcwguk3g0Irg/GreTVKzi65EDLGbasHHjRM4FA0jee7cuRMQEODIXgQUSuBIS0t78sknnVXJMmXKiN9Pq9mE9dy5Va1/WLp0abt3ZDAYmjZtanUQDjXPqd3sbiMq3CwUVDwjmPpNVc24p+YlpO3zBLOLRAMAcA/2zFMFAIAjxGNRGAyG5OTkuXPn1qhRo1u3bgsXLjxz5kxubq7Tq3HgwIHPPvtMvE7VqlVbtmzZrFmzoKAg8Zp379596623zNIP6GvVqjV9+nTBFubMmVNwOMqDBw9u3rxZamVPT89ly5Y59wY4z4cffpidnW11NV9fX5l7P3LkyDfffONwvVzJZ599Jr6pdoqff/5527Ztdhd/8ODB7du3nVgfg8EQGxs7f/58W0tt3rzZjlJiMTExY8eOde421SEek9aqRYsWnT9/XrCCGzRwWy+zlJQU8es3O/z6668JCQnO3aaz0KAKIig56NatW7t27VJzj6mpqQ4WtzppHfKpf37zWO0mqdxFF7AvhtiN4OMUKoSR999/PykpyZG9qO+jjz66cOGCs7aWkpLy0UcfSS1VuQm7QefWcY8ePXKk+NGjR3///XfBCvoJy0rQ1c2CG0cw9ZuqanFPV5eQ0s8T3DsaAIDuaJo+AgAojtLS0ipWrGjTX6uAgIAXX3xx6tSpGzduvH37tsxZWgUyMjJq1qwp2GOPHj1iYmLyd2Qymfbv3//iiy+K67lkyRLBTrOzsxs3biwoPnr06PzdtW7dWrBm3pzcThcfHy81ybfBYDAajb17996xY0dCQoLJZMrNzY2Pjz9x4sTEiRMFg0sbDIaIiAiLu3OVEThKly7dr1+/jz/+eN68ee+9917VqlWtFunatav9p0GGBw8eWG1E3t7ePXr0mDZt2oIFC4YNG1ajRg35P9m+ETgEF0+eoh+qJiUlWb2r9/Hx6dWr18qVK48ePfrHH39s2bJlzJgxlSpVsvordu/eLfUrdDsCRyGBgYEDBw6cPXv2p59+OmTIkCpVqlgt0qFDB6kIqXIDd4QTL7MffvhBvH7btm2/+eabbdu2nTx58s8//9yzZ893333XuXNno9EoKLV06VJB/WfNmiVVUM6Hy3Z/PqhVg3KcYL+rVq0Sl3WPoCQ+CAVVrVq1d+/eI0aM6N27d4MGDWSWyhceHj5gwIARI0Z07dpV3BHKk98zcSLBKSukUqVK3bp1Gzp06Ntvv92qVSs53xRGRkZK7dclRuDQyfnVsJukfhfduTHEbpoHcEFxq3HYbkqMwFGIc8OI2Wxeu3at1S2ULl26b9++H3/88fz584cNGxYWFiaztgZlRuA4fPiweKd+fn79+/dfvXr1sWPHYmJi1qxZM3PmzFq1aolLHT58uOi+VG7CLtS5NSvZPywkICAgKirqvffeGzp0aKdOnXx9fa0WmTZtmtR+NXlyYh/72oj6NwvFMIKp31TVjHsqX0IaPk9woWgAAO6BBA4AgAY+/fRT+bccRQUHB3fs2HH8+PG//PLL1atX7cjnEN9izZ4922Ipk8n05ZdfCu6yqlevLp7Y+8yZM15eXlLFfX1980Zl3LJli6B6jz/+eFpamq0/WY4lS5ZI7dTDw+OHH36QKpient6rVy9BnS9dulS0lEskcIwePTolJaVg2ezs7K+//rpkyZLigidPnpRTf/tYnT62c+fOcXFxBYvk5OT89NNPModLtS+Bw6KSJUtWrlw5b1zfou85PvnkE3HxZs2aWbx4UlNT33//fXHZjh07Sv0K/SdweHh4TJkypVBLl3ntnThxwuKuVW7gjnDiZfbyyy9LlQoICDh06JBUHTZv3uzp6SlV9u233xbUX6sEDq0alOME+3UkgcMifQYl8UHIU6VKlTVr1hTq8+zZs0fm6NARERGF5pnOzc1dvny5eGrwZ555Rnz87SDnlDVp0mTHjh2FfmxOTs53330nHijey8srNTXV4n51nsChq/OrYTdJ/S66c2OI3TQP4ILiLprAoUQYMZlMVjOrRo4c+fDhw4KlcnNzf/jhh7Jly1qts0GZBI7evXsL9tikSZOrV68WLZWRkdG/f39BwYEDBxYtpXITdqHOrVmVBI6qVauuWLGi0LG6f//+22+/LS747LPPSu1XqycndrCvjah/s1AMI5j6TVXNuKfyJaTh8wQXigYA4B5I4AAAaCA7O/v555+Xc9chR7Vq1V5//fWlS5cKnpsX0rJlS6mtvfrqq+Ky8+bNE1RG8NAtz6RJkwTFBw4cmJub+/TTTwvW2bdvn8yfaat33nlHaqdt2rQRl01LSwsJCZEq/vXXXxctov8EDsGjhBMnTogfnQwfPlxO/e2Qm5sr/g7mzTfflJoO9q+//pLz1YWDCRxGo/Hll19eu3ZtQkJCfsHU1NTExMSCm8rKyhJ/p/vcc89lZGQIDoXVtx1nz561WFDnCRweHh4bNmyQ2u/JkyfF196IESMsFlS5gTvCWZeZyWQSHKuvvvpKXI1BgwZJlY2KihIU1CSBQ8MG5TjBTp2SwKH/oCQ+CAaDoXLlyjdu3LBY8K+//rI6Y3pkZOSjR48sFt+6daugYJ06dURH3y5WT9nAgQOzsrKkikdHRwsedhskPo406zuBQ2/nV8NukvpddCfGELvpIYALyrpiAodCYSQ6Olq832XLlknt9MKFC3K+nnd6AsedO3cE8xGEhoYKAld6eroghywwMDAzM7NQEZWbsAt1bs3KJ3BERETEx8dbLGsymUaNGiUoGxISIrVfDZ+c2MqONqLJzUIxjGAqN1U14576l5CGzxNcKBoAgHsggQMAoI379+9HRERYvfGwia+vb69evQ4ePCje9ZkzZ6S24Onpef36dXHxnJwcwbCBnTt3FhfPyMgIDw+XKu7h4SHO8Bg6dKhtB9oWUVFRjuxXcPM5YcKEouvrPIFj0qRJ4l1v2LBBUDwoKKjoM02nEL+Mady4sfgR/6lTp0qUKCH+7Y4kcFSsWHH//v1yfoj4A47Q0NBCX/9YNGDAAMFG7PtsRfMEjk8//VS86/Xr1wuKBwcHW3zkp3IDd4SzLrPY2FipLRiNxnv37omLf/XVV1LFmzdvLiioSQKHhg3KcYKdOp7A4RJBSXwQDAaD4CGs2WweO3asoKyXl5fFrwzzCXJqg4KCrP5kW4lPWZs2bax+hDdw4EDBFjZv3myxlJ4TOPR2frXqJmnSRXdiDLGbHgK4oKzLJXAoF0b69OkjKDVmzBjxTvfu3SsonsfpCRwzZswQ7G7Tpk3iOh86dEhQ/Lfffiu4svpN2IU6t2aFEzgCAwNv374tKJ6SkhIYGChVvFSpUhZLafvkxFZ2tBFNbhaKYQRTuamqGffUv4S0ep7gWtEAANyDlRk9AQBQSGBgYHR0tOBOzA6ZmZk///xzy5YtX3311evXr0utJpj4s1OnTqGhoeK9eHp6Cr5fOXTokMlkEhT39fVdunSp1PiBJpNp2rRpUmVDQkIEz30cl5iYKLVo586daWlp4uLt2rWrK8Ese/Z3nahRo8b48ePF67z00kuCJxF3794Vv+ax2/fffy9Y+tlnn4nnOX766adHjx7t7Er9V4kSJX777bfWrVvLWXnz5s2CpfPnz5czUuucOXPKlCkj2IXLXXvh4eEjRowQrxMVFfXCCy9ILU1MTNy3b5/Ff5cq4loNXP5lJni8Va9ePaufkQn+jmRnZ1vdu8poUBa5R1CqXbu2ePZo8ZuA7t2716hRw77i6l/q8+fPF0w2l6dHjx6Cpffu3XNqjRTniudXoW6Stl10i2yKIXbTbfBxUQqFkczMzDVr1kgVqVq16pQpU8Q7bdOmzWuvvSZex+l+++03qUW1atUS9CfzREZG1q1bV2ppTExMwf9Vvwm7TefWcePGjRMP5FO6dOk33nhDamlqampmZmbRf9dhWHYuHd4suGUEU7mpqhn3dHgJKfQ8we2jAQDoEAkcAADNlCxZ8ptvvtm9e3erVq2cu+VVq1ZFRETs2bPH4tLff/9dqqBgSMCCOnfuLLUoKSnpzz//FBdv3rz5yJEj5eyokC+//FLm5KP28fPzk1p06dKlhg0bfv/996mpqVLr9OnT56wE8TcQOjRu3Dirw1QYDAbxY45Cg5RmZmb+bbuiDzsEY5+2bdtWzjU8btw4f39/q6vZYdy4cVYn1s1jNpv3798vtbROnTrdunWTs52KFSu+9dZbUkvj4uIEz0T06Z///KfVZ3YGg2HixImCpUeOHCn6j27TwOVfZs2aNbsjweo3ZBkZGYKnVHpDg5LiHkGpY8eOgnmjDQaDeF6tTp06ibcvfv2vptq1a8sZnq1WrVqCpYI4pk+ueH6V6CYZdNBFL0p+DLGbnoOPK1IujBw7dsziG+48Y8aMEXS08k2YMMHqOk6UnZ19/PhxqaW9e/f28LD+WFhwBV64cKHg/6rfhN2mc+u4119/3eo6jz32mGBpenp60X/UYVh2Lr3dLLhrBFOzqaoc9/R2CRkUe57g9tEAAHTIejQHAEBRzz777P79+w8ePPjjjz+uXr1akJtvkwcPHnTo0GHdunVdunQp+O8mk8niq808zZo1k7Px0NBQX19fqRvg6OhoQcJ+nunTp69fv/7q1atydpenX79+ghsepxB/tXPp0qV+/fr5+fl16NChc+fOL7zwQrVq1RStj1Z8fHxeffVVOWs+/fTT4eHh58+ft7i00JV24MABwTDmUkJDQws+cI+Li7tx44bUyr1795azzdKlS7/66qtLliyxtTJiHh4eQ4cOlbny9evXb9++LbV0wIAB4rdZBfXt23fBggVSSw8ePKifd5NWlSpV6uWXX5azZvPmzWvUqHHt2jWLS48ePVr0H92jgdt0mZUoUaJSpUp27OXkyZOjR48u9HhOz2hQFrlNUBJMxZ1H/CTaweJqatq0qZzVQkNDjUajy30eLcXlzq9C3SSddNELsimG2E3PwccVKRdGBCnUnp6e4rkJ8tWpU+fpp58+ffq0/P06IiYmxuJb+Twyb0x69+596tQpi4sqVKiQ/9+aNGH36Nw6rnLlynJ+WljzWrIAACAASURBVMWKFW3arA7DstPp7WbBXSOYmk1Vzbhn0N8lpNDzhOIQDQBAh/TypAYAUJwZjcZWrVotWrQoLi5u//79M2fO7NKli9XBBq3Kycnp169foa/NLl68mJSUJFWNxo0by9myp6dn7dq1pZYeO3bM6hZKlSr19ddfy9lXnuDgYMEDWWeRM0B0WlraunXrBg8eHBIS0qBBg/Hjx0dHR+fk5ChdNzVFRkYKZgguyGg0Cm6Pjx07lpub67x6GQzC7x4MBkOhdCUBma9ebFKvXr1CjzMEDh8+LFhqdVzTgho2bCh4HCmewlZvnn322VKlSslZ02g0CjK6LD5ecY8GbtNlJt/9+/f379+/aNGiIUOGNGzYsFGjRlJjOOkTDcoitwlKMv8kSQkICHCkuJqCg4PlrObj4yOYKsLluNz5VaibpJMuekEK/cUpRM/BxxUpF0YOHjwotahp06byLxXxlEnOZTGjN4+Hh4fMV8V169bdJGHmzJn5q2nShN2jc+s4mZefrUMw6jAsa0idmwV3jWBqNlU1455N1LmEFHqeQDQAAE0wAgcAQEe8vLxat26dd3dnNpuvXbt2sgA7Bud48ODBiBEj1q9fn/8vUgnmeXt0yrwS8fHxclZr167dW2+99c0338hZ+Ysvvihfvrxj9bKuW7duw4cPF3yvUEhMTExMTMzs2bMDAgI6duzYuXPnjh072vpljw7JvP/MI5ha/tGjR3fu3HHul16CTzSCg4PFn7YU1KRJEyfV6P/Uq1dP/sp///231KISJUqEh4fL35TRaIyIiNi6davFpXFxcfI3pTnB5VRUw4YNpRbFx8enp6eXLFmy4D+6RwO36TKTYjabb968+fvvv585cybvZwq+fnYJNCiL3CYoyRkGWbniavL29pa5pvwxCfTP5c6vQt0k/XTR8znlL45Veg4+rki5MCKYg8amRiHovzndnTt3pBaFhYXJmQhJPk2asHt0bh0n8w+Brde8DsOyarS6WXDXCKZmU1Uz7glodQkp9DyhOEcDANAQI3AAAHTKaDTWrFmzR48eM2fO3LZtW3x8/K1bt9auXTtixAibHqdu2LCh4GSKDx48UKCy/+P+/fsy1/zkk08qV65sdbWXX365Z8+ejlVKlvLly48YMcKOgklJST///POAAQMqVarUtGnT6dOnC26b9c/qaOQFiYd5vHfvnsPV+R+Cq6tu3bryn+P4+/uLZ0G2g03fEAt+yBNPPGHr6yjB6w357VEP6tSpI39l8bVX9Ie7RwN35FN1s9l8+PDhd955JyQkJCwsrE+fPrNnz96yZYurZ28YaFASCEqAEhTqJumqi57HwcFRZCL4uApBr96mPBubVnaQoFk5/UZAkybsHp1b3dJhWFaaG98saBvB1Gyqasa9ojS/hBR6nlAMowEA6AEJHAAA12A0GqtVq9a1a9fPPvssJiYmPj7+p59+kjmB5bfffpv/3yrceMh/Zx8QELB48WLxOv7+/osWLVLtS9OpU6e2b9/ekS0cO3Zs0qRJoaGhAwYMOHPmjLMqpiabRiMXz/Xj9AQOwQZtHaPF6aOCFxrvQUzwQ+yYPklQxLUeBNj0rkh8oCz+cDdo4DZdZgUdOXIkMjIyMjLy66+/jo2NdW6tNEeDsoigBChBoW6Srrroeez+i2MTgo9LMJvNgjPlxP6bc0mNeG9QYPYlrZqwG3RudUuHYVlRbnyzoIcIplpTVTPuFaKHS0ih5wnFLRoAgE6QwAEAcEkVKlTo3bv39u3bjx49+vTTT4tXjo6Ozv9vvWWOW33p7ufn5+fn51iNbODj47Nt27ZJkyY5mDKSnZ29fPnyhg0bTp061Ww2O6t66ihdurT8lcVPAZx+vQmuLlvnwXX6d6U2XTOCI1O2bFlbdy0YtNO1XlfYdBLFQ5Va/OFu0MDtqLnZbJ46dWrz5s0LTeXrTmhQFhGUACUo1E3SWxfdoNZMPQQfl5CWlpaVlSW11KYz5ZSh5mUSXF02NWQH9+Us7tq51S0dhmWFuP3Ngh4imGpNVc24l08/l5BCzxOKTzQAAF0hgQMA4NqaNGkSHR3dpk0bwTrHjx/PycnJ+2/BjauzyL/xSE9PHzhwoHidO3fufPjhhw5Xygaenp5Tp049c+bMsGHDHHzHbzabp0yZonL9HSd/claDwZCRkSFYWqpUKYer8z/yr+SibH3UqO2jScHss3Y0UiceFm1lZmbKXzk7O1uwVCrxqxg28BEjRkyZMsXWUk2bNh0wYIAC1VEEDcpxHENAJoW6SbrqoquJ4OMSfH19BUttOlO5ubkOV0cuNU+6hk24GHZu1VF8wrLb3yzoJIKp01Q1+WOnn0tIoecJxScaAICukMABAHB5pUqVWrFihWCU4+zs7PyEcRVms/b29pa55pQpUy5fvmx1tWXLlu3YscOxStmsXr16CxcujIuL+/HHH7t06SK+5xdbsGDBpk2bnFg3pT18+FD+yoIhOg22T2tileACtqnaBq3vkAXDdYoPqUWCL0KCg4Nt3ZqGkpOT5a8s/g5GfO0Vnwa+cuXKf/3rX3LWDAsL69q165QpU7Zs2XLv3r0jR468+OKLSlfPWWhQjuMYAjIp1E3SVRddTQQfl+Dl5SX4UtmJjcK5BM0qJSVFtX05i7gJF5/OrWo0P6fqKA43C7qKYEo3VTXjXh5dXUIKPU8oJtEAAPTGS+sKAACKlxs3bkhleXt5eYWFhdm32ZCQkC5duqxevVpqhfv37+c9tRTceFSvXn3p0qX2VaAgT09POasdO3bs008/lbnNt99+++zZs8oN+SilRIkSffr06dOnT0pKyrZt29atW7d582ZbEwUMBsO4ceO6dOmizkjUjrtx44b8lW/evClYGhQU5HB1/ofgAo6Pj7dpU3fu3HG4OvYTpBfExcXZujXBb3F6Do2ibt26JX9l8cS6cn642zfwzMzMDz74QLCCj49P9+7du3Tp0qlTp6JHzIU+VqZBOY5jCMikUDdJP110lRF8XEW5cuWk+khO7L85l6BZOX08fJ00Ybfv3KpJJ+dUUcXnZkFvEUy5pqpm3DPo7xJS6HlCcYgGAKBDJHAAAFT12muvHTp0yOKiEiVKpKamenjYOTpUo0aNBAkc+Vkjgq/c0tLS2rdvb9/ebZWVlTVw4ECTySRz/Rs3bowfP15mXr8SypQp07Nnz549e2ZlZe3du3ft2rXr16+XnwFw/vz5o0ePNmvWzOkVU+KhyenTp+WvfOLECcHSgm8m2rdv73htBXPJ//HHHyaTSWYLSkhIEL9TUZqgJd68efPu3bs25b4IzoLTc2jyKXHtnTp1Sv7Kgl/t7e1t02TGum3gDvrpp58Ev+KZZ55ZsmTJE088IbVCamqqMvVyPjdoUJrjGEIOF3pVoxyFukk66aKrj+DjKipXrnzt2jWLi06ePCl/Ozat7CDBK7cLFy44d196a8Lu2rlVk97OqRKKz82CbiOY05uqmnHPoL9LSKHnCcUhGgCADjGFCgBAVbVq1ZJalJGRIXVLKYd4dIpKlSrl/UflypWl1rl7964KMzvmmTlz5tmzZ20q8sUXXxw4cECh+sjn4+PToUOHxYsX3759+/Dhw+PGjatdu7acgtHR0TbtSOa5sOMrDasOHTokf27X/fv3Sy2qXbt2mTJlnFSp/woNDZVa9OjRo3Pnzsncjq2nw+nEl83vv/8uf1OPHj2KiYmRWlqzZk0bqmUwGDS99qKjo+W/HRScxIYNG9r3yaBqDVwdGzdulFoUEhKyYcMGwdM0g9bTDNlEzw3KVXAMizkNI7/LUaibpJMuuvoIPq6icePGUosOHjwov1EcPHjQSTWyrlq1alKLYmNjZfZzsrOzr0soOEiMbpuwm3Vu1aTbc+pExedmQf8RzFlNVc24Z9DfJaTQ84TiEA0AQIdI4AAAqEqQwGEwGNasWWP3lgVDBXp7e+eP/tegQQPBLJt///233RWQLyYm5uOPP7aj4KBBg9LT051eH/t4eHg0a9Zs9uzZFy5cOH369JAhQ8RjHl6+fNmm7csc+9GRpB8pCQkJ+/btk7NmUlLS5s2bpZa2bt3aeZX6r+bNmwuWCgahKWT58uXOqI79mjVrJpjldOXKlfI3tXr1aqmJmQwGQ5s2bWyrmabX3sWLF2V+2RwfH79jxw6ppS1btnSwJko3cHUInkmNHDlSMBV0HvkZUZrTc4NyFRzDYk7DyO9yFOom6aGLrgmCj6sQDMYQHx+/d+9eORtJS0tbt26d0+pkjfjG4bfffpOzkdWrV9eQ8N577+Wvpv8m7B6dWzXp/5w6rljdLEgt0lsEc7Cpqhn3DPq7hBR6nlAcogEA6BAJHAAAVdWpU0ewdPHixWlpaXZs1mw2b9q0SWpplSpV8pPHfX19mzRpIrXmn3/+acfebZKTkzNw4MCcnByLS41G45gxY6TKXr58efLkyUrUymQy3ZZm9YOMBg0aLFq0aOfOnYL5O4p+tCq+D7969aqcmm/btk3OarZatGiRnNWWLFmSmZkptbRVq1bOq9F/hYeHCwab+e677+R8/XDlyhVBe1GHn5+foCWuXbs2MTFRznbMZvNXX30ltdTDw8PiWXCDa+/LL78UNMxCD1w0aeCaS09PT0hIkFoq/mNkMBjMZrMeBj2SSdsG5R44hm5Pz5Hf5SjRTdK8i64Vgo+rEL8UlDnT5ffff5+SkuKkGllXt25dwXCAq1atkrORn376SWpRgwYN8v9b5SZcPDu3KnP7sFysbha0imDqN1U1454+LyElnie4fTQAAH0igQMAoKqOHTuWKFFCaum1a9fGjRtnx/ziP/zww/nz56WWtmvXruD/Cr5N37Bhg5zdmc3mvn37Npfw/fffC8rOmzdPMNNk//79Z82aVa9ePUHxo0ePyqmkTcxmc40aNUIkCIa/Lqht27YtWrSQWpo/CEq+gIAAwdbkzK564sSJ3bt3y6mbrX799Vero4MmJCQIRlLx8PAodOE5haenZ9OmTaWW3rhx49///rd4C2azediwYfJHSVWO4EvQ9PT0f/zjH3I28vPPPx8+fFhqaURERMGpW/Pp+dpbtmyZYPzzPLGxsXPnzpVa6u3t/cwzzxT8F00auOYePHggWGq1Cezfv1+JLy/t+AMnk4YNym1wDN2bniO/y1Gom6RtF11DBB+XUKNGDcHbuPXr11v9hD05OXnSpElOrpaQp6en4K3tunXrrM7pef/+fUHiWsEXmQZ1m7CbdW6V6x86yL3Dsj5vFhSiVQRTv6mqGff0eQkp8TzB4O7RAAD0iQQOAICqypQp89JLLwlW+OKLL8aMGWPT2+Vt27a9++67ghVeeeWVgv/brVs3qTWXLVt2/fp1q3tctWrVDz/8cMSSo0ePCr5vu3jxomAIDV9f32nTpnl6es6aNUtqHZPJNHDgQKfPMenp6Vm9enWppWvXrpW5HcGHEUXnIvX39y84rWYh69evv3LlimBfDx8+HDBggMyK2eG1116Lj4+XWpqZmdmjRw/Bh1lRUVGC6Vcd0atXL8HSCRMmnDp1SrDC1KlTdfIBsfj0LV26dP369eItXL16dcSIEYIV3nzzTYv/rudrz2Qyvfrqq4LZcNPS0rp37y4YrKh79+7BwcEF/0WTBq458d8RQSKdwWDIzs4ePXq0s2tkMBgMyk2DpWGDchscQ/em58jvipToJmnYRdcWwcclGI3G/v37C1bo27dvbGys1NKcnJy+ffsKWo1CBM3KbDYPHz5camDIPGPHjpWal8fHx6dt27Yy9+X0JuxmnVv9TJNaiHuHZX3eLChEqwimSVNVLe7p8xJS4nmCwd2jAQDoEwkcAAC1vf766+IV5s2b17Rp0927d5tMJvGaf//997Bhw7p06ZKamiq1TtmyZdu3b1/wX5o1ayY1hkFGRkZUVJR4WMiTJ0++//77Ukvbt28fFhZmcZHJZBo0aJBgKOlhw4bl3dx27ty50LzgBZ07d07wRaPdHnvsMalFy5YtE9985omOjhbMAFq3bt1C/+Lh4RESEiK1fnZ2ds+ePaWeEVy6dKlt27aKTjp78+bNdu3aWRwNMiEhISoqSjzcZaG5UZ2od+/efn5+UkvT0tI6d+586NChoosyMjI++OCDqVOnKlQxW9WuXTsqKkpqqdls7t2799atW6VWuHz5cocOHQRjlgYHB0u9rtD5tXfx4sUOHTpYHM8/Li6uc+fOR44cERQfMmRI0X9Uv4Frrly5coKlCxcuvHXrlsVFOTk577zzzvHjx5Wo1YMHDxT6yFLDBuU2OIbuTeeR3+Uo0U3SqouuOYKPq+jbt68gDyw2Nva5556z+N1zUlJSr169Nm7cqGTtLOvXr59g8JU9e/a8//77Uu8gN2zYsHTpUqmyUVFRgYGBBf9F5SbsTp1b5fqHDnLvsKzPmwXlaBXB1G+qqsU93V5CSjxPcO9oAAA6ZQYAQF25ubmRkZFy/kiFhoYOHz78P//5z5EjRy5duhQXF3fz5s1z585t3bp1zpw5zz//vHg68zyzZ88uWgfx6Hzh4eEnTpwoWio7O/vHH38sXbq0VEGj0Xjs2DGpH/75558LdhoQEHDv3r38lcUDU3t5eZ0+fdoppyOfeN7T4ODgzz//PO/RUlEPHjxYuHChj4+PVPGyZcump6cXLWg1myc4OHjatGnbtm27fv36o0ePbty4sWbNmn79+nl5eYkL5hFUWE5xg8FQsmTJoUOHHjx4MDExMTk5+cyZM5MnTy76OUIhTz31lMlkcubp+V8DBw4UV8DT03PQoEHR0dH37t1LTk4+e/bs3LlzBY9OCpE6bmazuVGjRlKl8uY/ssm+ffusVmbIkCFXrlwpWOrevXuffPKJIIslz4wZMwS71urakz9KaunSpUeOHHn48OH79+8nJSWdPHly/Pjx4odEBoOhQYMGFq89TRq43ZxymZlMJvGMCXXq1Pntt98KFsnNzd27d6+cv1CNGjUS7HrOnDmCsnv27BHXfNy4cfbtV8MG5SDBfletWiUu6zZByZGDcOzYMUHxy5cvi4svWbJEqqy/v7/MQyefU06Zv7+/1EYWL14sVUqryG92tfOrYTdJ/S66c2OI3TQP4ILiVi9Ru9n9907DMNK9e3fx0fb19X3nnXeio6MTExNTUlJiYmJmzJhRpUoVcal8P/30k9MP16hRo8Q7bdOmzfHjxwsWycjIWLhwoa+vr6DUpk2biu5LzSbsWp1bs3b9w3w7duwQVEDqWGny5MQ+th4irW4WilsE06SpqhP3NLmEtHqeYHapaAAA7oEEDgCABs6cOSMn98Jx4eHhmZmZRSuQmZkpmAE07xaiXbt2X3zxxZYtW/bt27d8+fIJEyZYTQkfPHiw1E++evWq+Onq3LlzCxV5+eWXBes3atQoOzvbiSclPj7e6kkpWbJkp06d3nrrrcmTJ3/++edTpkwZOnRohw4dvL29xQXfeOMNizsVvFRwCscTOOxgNBoPHTrkxFNT1JUrV0qWLKncT1AtgcNkMhWa4UhKgwYNunbt2qtXrxYtWgie4OSrWbPmw4cPBbvW6tpTdKZko9F48OBBi/vVpIHbzVmX2Ysvvmj1oIWFhXXs2LFv376dOnWqWLGi1fXzRERECPb79ddfC8rWqFFj5cqVp06dOnHixObNm4v+kbL7Ab2GDcpBgl2rnMCh4TF05CCQwFGQ4L2FVpHf7GrnV8NukvpddJ0kcGgewAVbIIGjoMuXL1vtFzlCiQSOGzdulClTxuqu80aCefXVVyMiIkqVKiVeuXXr1hbf8KnZhF2rc2vWrn+Yz74EDvXDst3sOESa3CwUtwimSVNVLe6pfwlp9TzB7FLRAADcAwkcAABtTJgwwZn3GZZ4e3sfOHBAqgInTpxw7r1rnTp1pJ56mEymdu3aCcpWq1YtLS2tUKlz584JZvo0GAyzZs1y5ikxm9955x0nHpB8JUuWvHbtmsU9Pnz4UDC4peM0SeAYPny4c8+LReJPuBykWgKH2Wy+f/9+aGioc+vv4+Nj8eOPgrS69hR94PL+++8LfrL6DdxuzrrMFi1apMRPNhgMtWvXFux3w4YN8jdV9FJx5AG9Vg3KQYK9q5zAYdbuGDpyEEjgKEjw3kKryG92tfOrbTdJzS66WTcJHGatA7hgIyRwFPLBBx/IPP52UCKBw2w2f/fdd06spKenZ0xMjNS+1GzCLtS5NWvaP8xjXwKHWfWwbDc7DpEmNwvFMIJp0lTViXvqX0IaPk8wu040AAD3IHotBACAcqZNmyaYAdFxPj4+a9asadWqldQKERER06dPd9bugoODN2/eLDV84jfffLNr1y5B8enTpxcdUCE8PHzAgAGCUlOmTLlw4YKtVRWYO3euYHp4u02aNEkq6b5s2bIO3swLpgy3W/ny5e0uW79+/Y8//tiJlZEyatQowaMfqzw8POR8kqKCwMDAlStXOvcpwIIFCyIiIsTr6PPaszo5jkB4eLj42lO/gWuuf//+VgeJFRBMmpA3vYLU0ubNm9u9Uwdp1aDcCcfQjekz8rscpbtJanbRdYXg4yqmTJniSCc8KCjIiZWRqV+/fj179nTW1mbPnl2vXj2ppWo2Ydfq3GrYP3SQG4dlrW4WNKRJBNOkqaoT9/R2CSn6PMHg1tEAAHSIBA4AgDaMRuPChQuHDx+uxMZLlCixZs0aq4MZjhkzxurUmHKEhobu3r27Ro0aFpfevn179OjRguJPPfVUv379LC6aMmWKYA7OzMzMQYMG5ebm2lRbgbJly65evdqR+8+iXn/99TFjxghWmDBhwuOPP27fxt944w0l0oA+++yzqlWr2lGwTp06O3bsEMzu6UTe3t6bN29+8skn7Sjr4eGxYsWKJ554wum1sk/z5s23bt0q+IpIPg8Pjy+++GLo0KFyVtbhtffuu+/KGYW1qFq1au3cuVP8ZbkmDVxbpUqVmjt3rn1la9euvXLlSqmlmZmZS5culVoaHBzcu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width="1440" style="display: block; margin: auto;" /></p>
 <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">n_F1 &lt;-<span class="st"> </span><span class="kw">mean</span>(n_obs_F_1[, <span class="dv">1</span>])
 n_F2 &lt;-<span class="st"> </span><span class="kw">mean</span>(n_obs_F_2[, <span class="dv">1</span>])
 n_F4 &lt;-<span class="st"> </span><span class="kw">mean</span>(n_obs_F_4[, <span class="dv">1</span>])
@@ -5401,7 +5401,7 @@ z &lt;-<span class="st"> </span><span class="kw">gtable_add_cols</span>(z, <span
 <span class="co"># Draw it</span>
 <span class="kw">grid.newpage</span>()
 <span class="kw">grid.draw</span>(z)</code></pre></div>
-<p><img 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width="1440" style="display: block; margin: auto;" /></p>
 <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">ratio_tot &lt;-<span class="st"> </span><span class="kw">rbind</span>(ratio_2, ratio_3, ratio_7, ratio_4, ratio_5, ratio_6, TRUEratio_2, 
     TRUEratio_3, TRUEratio_7, TRUEratio_4, TRUEratio_5, TRUEratio_6)
 
@@ -5469,7 +5469,7 @@ z &lt;-<span class="st"> </span><span class="kw">gtable_add_cols</span>(z, <span
 <span class="co"># Draw it</span>
 <span class="kw">grid.newpage</span>()
 <span class="kw">grid.draw</span>(z)</code></pre></div>
-<p><img 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ly4bNmyjz76qGbNmuLxubm5hl7sTE1NLfGgDUtLywEDBsyfP3/58uWTJ0+uXbu2QVOSyWTbt2/PysrSqEtaWtrIkSPFY6ysrN57772dO3cGBwffuHHjyJEjX3zxRbVq1cR7rVq16vTp0xolUwpVrFhx9OjRixYt+v777ydOnFijRg3x+Pz8/KlTpwr9zfZ6vOCaTrODBw+Kl8W0b99+48aNx44dCwkJuX379unTp7ds2eLv7y+Xy4W6KJXKQ4cOFb3i6OioLKLwL3NVbm5uyv/l6Ogo/eOI44UCAAAAAACQRAkAAIAivv/+e13+48rZ2blr164zZ87cvXv3w4cPFQqFpgls27ZNZPxFixap7aVQKNatWyeyqlerVq3c3FyR+4aHh1tYWAh1t7a2fvLkiVKpPHLkiEh69erVy8zM1PQjS7Fhwwahm5qZmW3btk2oY1ZW1nvvvSeS8927d1V7iW9TcfXqVSk5nzhxQmSQlJQUtb1SUlJEehU1bdq0jIyMon1zc3PXr19va2sr3jEkJERK/tpZuHCh+N39/f3j4uKKdsnLy9uxY4fEpWKh35tSqdS0csjW1rZ69erly5eXyWT9+/cvNtrSpUvFu7do0ULt5Hn58uXHH38s3rdr165Cn8KEc0/i7ixmZmZz584t9qZLnHvXr19Xe2sjv+C60OM06927t1AvR0fHixcvCuVw+PBhc3Nzob7jxo0TyV+jAg5VM2bMEOru4+Mj0tFULxQAAAAAAEDZwg4cAAAA/2PKlCmdO3fWuntSUtJff/0VEBAwaNCgOnXq1KpVa+jQoZs3b05NTZU4wpo1a4SaBg0aJLR4JpfLP/zwQ5HqkydPnvz+++8i923cuPGsWbOEWnNycubOnatQKERiZDLZxo0bS1zB1c61a9eEmtq0afP+++8LtdrY2Pz888+urq5CAWfOnNExN5PYtm3b0qVLC1aFC1lYWIwbNy4oKKjY9WJ++eUXA2WlUChEVuJlMtmoUaMOHjxYvXr1ohfNzc0HDx58/fr1Endx0J1cLu/du/e+ffsSExMzMzPj4uIyMjJevny5bt26omG5ubnixxi98847Z8+erVevnmqTnZ3dqlWrxJer//rrr1u3bmn3EUzLzMxs//7933zzTbE3vWDuXbhwQXzubd26Ve311+wFlzLNlErlyZMnhUZYvHhxy5YthVr9/f1FdrNISEjQNnFD4YUCAAAAAACQiAIOAACA/2FhYbFr1y5vb2+9jBYTE7Nt27YxY8ZUq1Zt8ODBFy9eFI+PiIi4cOGC2iZzc/MlS5aId58yZUqdOnWEWn/99Vfx7rNmzfLw8BBq/eWXX+bNmxcWFiYUMGnSpLZt24rfQmvx8fFCTZ6enuJ9bW1tu3TpItT65MkT7dMykTlz5ogsaXt7e2/fvl2k+/bt21+9emWAvGTHjx9//PixUKuvr+/atWvNzNT/b5A6deocPnzYxsbGEIkVqFq16tmzZ/fv39+nT5+iR2/Y2dk5OTkVjdyzZ09sbKzQOG5ubvv27bO2tha517Rp00aMGCESsGLFCsmJlyJLlizp2bOnUGuzZs3E9xDavn17bm6u6vXX6QWXOM3i4+NfvHihdgS5XD5gwADxuzRv3lyoKTExUcOUDY4XCgAAAAAAQCIKOAAAAIqrWLFiUFDQmDFj9DhmTk7Orl273n777UGDBomscO/bt0+o6d1333VzcxO/i7m5+dSpU4VaL168qFAoRLpbW1tv2rRJ6BwWhUIxf/58ob6urq4iO/PrLikpSagpMDAwMzNTvHvHjh09BSiVSn0na1i1a9eeOXOmeEzPnj179eol1JqcnCx+xIbWfvvtN5HWH3/8UXyNtmnTptOmTdN3Uv+wsbH566+/2rRpIyX48OHDIq0//PCDvb19iYMsXry4QoUKIrcoc3PPw8NjypQp4jG9evXq1q2bUGtSUtLZs2fVXhfqUrZecOnTTOTAGi8vr0qVKol3F/l3RG2JjGnxQgEAAAAAAEhEAQcAAIAatra2GzduPHXqVOvWrfU78p49e7y9vU+fPq229dKlS0Id3377bSnj+/v7CzWlpqbevn1bvLufn9+nn34q5UbFrFu3TsoKnNbs7OyEmu7evdusWbPffvvt5cuXQjFDhgy5KeDbb781TMqGMmPGDCnbVMydO1ekNSgoqOgfc3JynmpOddG92LBFtW/fXsocnjFjhoODQ4lhWpgxY0aTJk2kRCqVynPnzgm1vvnmm3379pUyTtWqVceOHSvUGhcXJ7IGXzp99dVXFhYWJYbNnj1bpPXKlSuqF1+bF1z6NGvRokW8gBKPfcnOzhap9itteKEAAAAAAACko4ADAABAUIcOHc6dO3f+/PmJEycW3QlfRykpKV26dFH9RrJCoVC7tFmgRYsWUgZ3c3MT2eRAZH290IIFC0TOYVFr2LBhIoUjelGzZk2R1rt37w4bNqxKlSp9+/bdsGFDTEyMQZMxISsrq0GDBkmJbNq0qciBOMVm2vnz56tr7q233io6SFxcXFRUlNAdBw8eLCXt8uXLS/yAGjEzM5s0aZLE4MePH4tMoREjRgjtUqNq6NChIq1C5yWVTuXKlevdu7eUSD8/v9q1awu1BgcHq158PV5wjaaZjY1NNQEVK1YU6RgSEuLv7//333/rI2Vj4IUCAAAAAACQjgIOAAAAMXK5vHXr1mvWrImLizt37tx3333XvXv3Eje3L1FeXt6wYcOKfV34zp07qampQmn4+vpKGdnc3LxBgwZCrVevXi1xhHLlyq1fv17KvQo4OzsvX75cerx2pBxJkJmZuX///vHjx7u6ujZp0mTmzJlBQUF5eXmGzs2YWrZsKb64W0gul4sst1+9ejU/P19/eclkovvHyGSy7t27SxzHEAUcXl5eVapUkRh8+fJlkVaR80FUNWvWrGrVqkKtFy9elD6UyXXo0KFcuXJSIuVyuUhFl9oytdfjBddomkn3/Pnzc+fOrVmzZuLEic2aNfPx8RHaw6l04oUCAAAAAACQruT9bwEAACCTySwsLNq0aVOwyqhUKh89ehRShOpZEiVKSUmZMmXKgQMHCq88evRIKFipVOrlXImEhAQpYR07dhw7duzGjRulBK9evbpy5cq65VWyvn37fvLJJ1lZWRLjIyIiIiIiFi1a5Ojo2LVrV39//65du4qs/JUVEut4Cvj4+Ag1vXjxIj4+3sXFRR9J/UNkSwBnZ2fxLRaKKraxh154eXlJD3769KlQk42Njci+Jqrkcrm3t/fRo0fVtsbFxUkfyuREppOqZs2aCTUlJCRkZWXZ2toWvfh6vOAaTTMhSqXyyZMnly5dCg8PL/iYpXbHEYl4oQAAAAAAAKRjBw4AAACNyeXyOnXqDBgw4Lvvvjt27FhCQkJ0dPS+ffumTJmi0QLen3/+efv27cI/pqSkGCDZ//H8+XOJkUuXLq1evXqJYb179x44cKBuSUlSuXLlKVOmaNExNTV1165dI0aMqFatWvPmzRcsWBAfH6/39IymYcOG0oM9PT1FWp89e6ZzOv9DZHZ5enpKPyXBwcHhjTfe0FNS/5C4bUkBkQ9Sv359CwvNiuBF1qelv4+lwZtvvik9WHzuqX7w1+MF12iaFaNUKi9fvvzhhx+6urq6u7sPGTJk0aJFR44cKevVGzJeKAAAAAAAAE1QwAEAAKAruVzu4uLSp0+fH3/8MSIiIiEhYceOHZ07d5bS9+effy782QgFHNLX7B0dHdeuXSse4+DgsGbNGukL8zqaN29ep06ddBnh6tWrc+bMcXNzGzFiRHh4uL4SMyZHR0fpweJn/ei9gENkQE33aNH7ORTF9nsQJ/JBtDg+SaRL2Vpv1qg6QfwXpfaDvwYvuEbTrKgrV660bNmyZcuW69evj42N1W9WJscLBQAAAAAAIB0FHAAAAHpWpUqVwYMHHz9+PDg4uGnTpuLBQUFBhT+Xqh04ZBIW3e3s7Ozs7HTLSANWVlbHjh2bM2eOjiUjubm5W7dubdas2bx585RKpb7SM47y5ctLDxav9tD7fBOZXRUqVNBoKF12MlBLozkj8puxt7fX9NYihx+VrfVmjR6i+JFPaj/4a/CCa5G5UqmcN2+en5/flStXDJFSacALBQAAAAAAIB0FHAAAAIby1ltvBQUFtWvXTiTm2rVreXl5BT+/evXK0ClJX9/KysoaPXq0eEx8fPznn3+uc1IaMDc3nzdvXnh4+OTJk3Vc41cqlXPnzjVy/rrLysqSHpydnS3SWq5cOZ3T+R+FM1mVpuvopi2ssbGxEWrS4iXV46/FtHJycqQH5+bmirQKFX79B1/wKVOmzJ07V9NezZs3HzFihAHSMQheKAAAAAAAAOko4AAAADCgcuXK/frrryL76ufm5hZ+O1nvuw6osrS0lBg5d+7ce/fulRi2efPmEydO6JaUxry8vFauXBkXF7d9+/bu3btbW1trPdTy5csPHTqkx9wMLS0tTXpwamqqSKumx5qUSGQCa5S2zNTfpBc5o0H8V6qWyPYDzs7Omo5mQunp6dKDxfd3EZ97/50XfOfOnatWrZIS6e7u3qdPn7lz5x45cuTZs2dXrlzp0aOHodPTF14oAAAAAAAA6SxMnQAAAEBpERUVJfStcQsLC3d3d+2GdXV17d69+++//y4U8Pz584JlJ5H171q1am3atEm7BIoyNzeXEnb16tXvv/9e4pjjxo27efOmRkd76IWNjc2QIUOGDBmSkZFx7Nix/fv3Hz58WNNCAZlMNmPGjO7du+t4aoPRREVFSQ9+8uSJSKuTk5PO6fwPkQmckJCg0VDx8fE6p6M9kfKCuLg4TUcT+Sx6r6ExqOjoaOnBsbGxIq1SPvhr/4Ln5OR89tlnIgFWVlb9+/fv3r37u+++q/obK0O7TfBCAQAAAAAASEcBBwAAwD/ef//9ixcvqm2ysbF5+fKlmZmWu5f5+PiIFHAUVo2IfE05MzOzU6dO2t1dU69evRo9erRCoZAYHxUVNXPmT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width="1440" style="display: block; margin: auto;" /></p>
 </div>
 </div>
 <div id="wilcoxon-test-on-ratio-mean" class="section level1">
@@ -6617,7 +6617,7 @@ p6 &lt;-<span class="st"> </span><span class="kw">ggplot</span>(param, <span cla
     <span class="dt">scales =</span> <span class="st">&quot;free&quot;</span>, <span class="dt">labeller =</span> <span class="kw">labeller</span>(<span class="dt">var =</span> predictor_case))
 
 p6</code></pre></div>
-<p><img 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oq/MXwCk6EfjuXIrd3S0rJr165Ksxtzc3PpEzh0YOLGqdURis4gna0xjrn6jAEMS59IODw029jYrFmz5quvvqI/TiYxMfHChQu9e/dWLImLi1OavUFR1OrVqzXO3tCZMVpLZWXlvHnzzp8/L//o5ubGZi0eDuBv3bq1aNEi+jE3NTU1NTX15MmT8pbG5v8ywS8vOW5/fykRdC/07t27OXPm3Lt3T7FEvt8vX768a9euDRs2hISEqF3RNPvaIM1Sic7/Mkvc/o4AAABVuGcC9KL0SFiKory8vJSWiMXiadOmbdmyRfX9jgr//fffvHnzVq1apTRkZGn37t1z585VGv6qSk1NnTBhwpUrV3TYBJm5ubnS7WIFBQVKN0vJpaSk5OTk0Jf07duX/jvH2NV18eJF+oUEiqI8PDy++uor8lru7u5Kv7Ly8/OV/hGD74UnT56MHTuWPuinq6qqWr169fHjx9WmPn78eNiwYSdPniRXUVxc3PDhwy9duqQxGIqiIiIifvjhB8XJHTqpVBoeHj5hwgT6XvP09GzVqhU9m9Kjm+n/y/Xr1+lLunbtqu3DM3fv3j1//nz6OQ66yMjIZcuWaSzE4M1P550YFxcXFham9LNBVUJCwrBhw1RPnejPZLvP2dm5owqN93sppKamKi1Rew1D9Z6JN2/esNyEXFFREf2jpaUl/eqCguo/rrhxwRihymSypUuX7t27V+3jmisrK7///vvo6Oi5c+cqneGlu3Hjxrfffqvb0QdANxg+yWH4RGH4hOGTOhg+kfFzTKJWSEjIJpp58+ap5snMzCwpKaEvadq0qeJvDJ/AZJQOcxRFvXr1irzKl19+ufz/qlevnj4xmLhxanuEUjBIZ2uMY64+YwDD0icSzg/NrVu3Vr22umnTJsV3RCqVKs1WpCgqLCysffv2GgPTjTFai0wmW7BggWL2Bnt8G8Bfvnx57NixSjMm5eQt7eDBg+T/yFCRsMH57y86QfdChYWFo0ePpk9loMvLy5s6darat5SaZl8bpFkq0flfZonz3xEAAKAKT+AAvaj+pPf19aV/lMlkixYtunbtGpvSDh8+bG9vv2DBAq1iePDgwYYNG1hmrqqqWrZs2YULF+zt7SmKql+/fseOHSmKevz4MX0AbW5urpjpzPLZsAMGDNi3bx99SWxsrNIZTErlVjOKoui/fExQXapDvQEDBqi9K07JtGnTlH6O0s906LMXmCxatIgwnpZbs2ZN7969nZyc6AvT0tJGjx6tdG6XSVlZ2YwZM/7880/yj+3S0lLVF1QruXv37qJFi7Zu3apY0r9/f6XRc2xsrNK1HIqikpOTCwsL6UtCQ0PZBK8QFRWlsf6jo6PJjdkYzU+3nZibmztr1qyKigo2kYjF4unTp589e9bV1ZVNfvbfetPsvubNm4eHhystVH0QJROl0/pWVlbu7u6q2erXr6+0ROmZ3hq1bNlyxowZio+WlpZq75lQ/YGq2LQxQi0rK4uIiCAGTs2dO5ecgaKohISEixcv0u+pAjAqDJ8UMHzC8AnDJ1UYPpHxc0yi1kcffaTxiR2//vor/aO9vf3AgQMVHzF8ApNxdnZWWhIXF3fixAnFOx1UNWrUSPVRN/owZePU7QhFGaizNcYxl9JjDGBwOkfCk0Pz3LlzY2Ji6BehX79+fezYsREjRlAUdfbsWaVrnPXq1WM/tlQcUjMzM//77z96UsuWLR0cHCiKot/RYaTWEhsbe/bsWZYxK+HPAP7x48ezZ89WOw1LYc2aNeS5ZfpEotXPIp78/pITei+0Zs0a1QdH0ZWXl//www8nTpxQevmRsX82UgZqlmpX0epf1qrNGPV3BAAA6AwTOEB3BQUFp0+fpi9xcnLq2bMnfUlUVJTShG4HB4ewsLCAgIDy8vKYmBilObzh4eGDBg1S+2BYJko/p+VhdOrUydXVtaqq6uXLlzdv3qTfwJGbmxsTEzNgwACKonr27CkPWOnNc46OjqqXVMmaN2/esGFD+im22NhY1ZMLSs8PrF+/fsuWLRUfTVBdqrNxWT6suE2bNm3atGFK1WcvMCkuLpb/YWdn5+3tnZubqzpULSkpiYqKot8CW1VVNXfuXNUfIY0bN27Xrp2FhUVSUpL8xboKMpls/vz50dHRtWrVYgqGPoqtV69e48aNc3JyUlJSlLKdP3/++vXrimfW9enTh/5EVoqiYmNjFy9erLSW0s9aOzu7Ll26MEWiKi8v7/vvv1dd3rBhwwYNGrx580ZxBx558rgxmp9uO3H37t2KFeVcXV379Onj5eUlFotTU1PPnz9P/0344cOH3377beXKlYRIFNh/602z+/SUmZlJ/2hvb6/2Gobqo1yVVtQoMDCQ8OpThfj4eKUl3t7eardo2FDNzc19fX3FYjH5yoqLi4u7u3tqaqrqOYXo6GhcgQDTwPCJDsMnpSUYPlEYPmH4pAnPxyTspaenb9++/cSJE4olIpFo3bp18qt3/4+9ew2QojwTBVxzlQHkLiKIBKOioHhBETkorhLRCF6iURIDxCNGjZdgorJGZdXoyhqjJotRo64EJTHiXU8UUVFDJCqGBBGRqKiIQUXud5iZ86PP9qmtnmlmerq7umee51f119U173R93fVW9Vvfl4dQpU+EdenSpWvXrl988UW48ac//en06dO/+93vHn744bvuumvegslD58zsCBVk48s2R8fcINPDRy5kFknhHJqrqqpuvPHGsWPHhlebPHnyySefXFlZefvtt0f+4vXXXx/+6k4veUj9/e9/H6kiuuaaa/bff/9wS+56S6R8sFEKJIGvrq6+5pprUn9y3n333b/2ta8tXbo0EWF1dXX6b5KmRNKo06ICOf8KmsW3UHKzrVq16tWr19KlSzdu3BhZ55133lmwYEE4aczDaWO2umWqxv7LjeozOT2PACBjCjhIZ/v27akVo9u3b1+5cuUHH3xw++23r1q1KvzU2LFjwxePampqIulp9+7dp06dmpwV9bTTTpsxY8all16a/Cu1tbU///nP77nnngZGuGrVqjlz5oRbDjrooClTpoTD+Mtf/hI57/rrX/+a/tp3BkpKSkaMGHHHHXckWxYvXvzZZ5+Fb4fatGnT3Llzw6/65je/mbwGl4e3a8uWLUuXLo2E3fCJDOuTu72wzz77XHPNNYcddljiXZo/f/5ll10WuRHtjTfeCOf9L7zwQmTwxrKysuuvv/60005LvtVz5sz50Y9+FL7t78svv5w2bdoPf/jD9PG0atXquuuuO+mkkxJFygsXLrz00ks/+uij8Dq//vWvk9d3unTpcsQRR4TPWj/66KOPP/44MkFG5BL2scce26pVq/SRhP3Xf/1X5BbGTp06JeY+LCkpqa2tffXVV6+44orVq1en2Ujuul8GO3HmzJnhZ3v37v3www+Hy/OvuOKKUaNGhYeGfvbZZ6+55ppG3XCwQ/nZfU20efPm8MP65txNbU8902u6devWhb8DgyDYbbfdkqX9uQv1f//v/33JJZckXvjOO+/88Ic/XL58eWSdr33tazfffPOBBx4YBMGmTZtuvfXWqVOnhldYuHBh+r8CDSd9ajjpU7hF+pRYlj4F0qcmiysnaYg333zzxhtv/Oc//xnpXVVVVT/72c8i9XzSJ/KmpKRk5MiRqT/qzJs3L1HF2LNnz4MOOqhfv379+vXr27dvw3+ubqx8ds7GHqGCbHzZ5vSYm8HhI0cyiKSgDs2DBg0aNWrUQw89lGxZsWLFlClTOnbsGJmj6pRTTsndLRy56y2Jt7GiomK//fbr1atXq1atdt555wZGVSAJ/MyZMxcsWBDeSFVV1Q033HDiiScmOszs2bOvuOKK9POV5OFUIqFwzr+C5vIt1KVLl4kTJw4bNqysrKympuaZZ5656qqrIpUTb7zxRrKAIz/7Oivdsj6N/ZcbFXb4YVznEQBE+JIlnTPPPLNviv79+x999NHnnHPO22+/HV555MiRF1xwQbjlz3/+c+TE5ic/+UkyMUoYPnz4mDFjwi2vvvrqDmdcS1q0aFGk9P4nP/lJ5ALWoEGDIlPLf/XVVw3cfqOMGDEi0hKZsPCNN96ITHsffkke3q7UaUS7du2afiDuhsjRXujWrdu0adMGDhyYPH/o37//TTfdFFktcnvZ/fffH1nhpz/96emnnx6+We2II45Ivdtg2rRpqfP+RkyaNOmUU05Jpqd9+/a9//77I2e5c+fODY+0ucNesXbt2siJU6MGAN+8efP06dPDLaWlpb/5zW+GDBmS+JdLSkqGDh161113pd9OjrpfBjtx+/btkTr0I488MjK4YufOnc8///xwy6pVq9KPJZiZXO++potc1q9v8vhWrVpF7teMvLDpNm3aNH78+NSfpZNTDOQo1BNPPHHChAnJL5x+/fqlDnFZVlZ25513Jq7wBkFQVVX1r//6r8nbcBMikUNTSJ8aRfqUJH1KPpQ+SZ+aIq6cpIHWrFnz7rvvpv4A+W//9m+pP9JIn8incePGpRnRfenSpU8//fSkSZNGjx49YMCAE044YdKkSW+88Ub6UeIbK8+ds7FHqKx82ebumJtZDpALGURSgIfmyy+/PPKJuOeeeyL7pUuXLj/96U/Th9QUOc3QjjzyyGeffXb69Om33HLLDTfcMGHChIYHVggJ/O9///tIDDfccMOIESOSHebII4+87777Kioq0vwjeTiVSCio869m8C1UXl4+ZcqU4cOHl5WVBUFQWlp60kknXXHFFZHVwvV/+dnXWemWdcrgX26ggjqPACBMAQdZ0KpVqx/+8IeTJk1K5BBJs2bNCj9s165dndfmRo0aFWl54403GvinO3TocNH/lDyNT1qzZs3nn38ebtnhaUxm9txzz379+oVbIu9AZPzA3r1777vvvvWtnIu3K/VCYVamPs3RXjj//PNTwxswYEBkdt7wzypr166NjPLXrVu3M888M3XjAwcOHDhwYLhlxYoV77zzTpp4+vTpc/zxx0cau3fvnrr98K4cNmxYZWVlfc8GQTBnzpzwNa+dd945MUlhA82dOzdyk8o3vvGN1Grrgw8+OP1NITnqfhnsxG3btoUHjQyC4I9//OOMGTMiVwaPPvroW/+nXIx7kevd13QNvC+zpKQk8lR2CzjWr19/7rnnRr7iBg8ePHr06Pr+YrZCDf+JhMios0EQDBkyJDI/d1lZ2X777Rduye6lZ2gI6VOC9En6lCB9SpI+NUWMOUkTXXnllTfccEPkT0ifyKdOnTrde++9kZ8P6/Phhx/ef//9o0ePHjRo0C233BIZej1j+eycGRyhmv5lm9NjbgaHjxzJIJICPDS3bdv2Zz/7Wbhl48aNkR8sJ06cmH5GiabIaW/p0aPHf/7nf0Z+vW642BP4NWvWROZK+9rXvpa6kb59+5588slp/pE8nEokFM75V/P4Fjr99NP33nvvSOOJJ54YaQn/oTzs62x1yzpl8C83UEGdRwAQZgoVmqqiouKOO+6o86JbJCM84IAD6hxZa4899mjVqlX4GtPcuXMjo8bVZ7/99oucqIetXLnyzTffnDx5cqTuO3dGjBgRzmX/8pe/bNq0KXk1LTJWcLICNyEPb9eGDRsiLfXdxdUoOdoLqVdqEnr06BG+nyacZc6dOzeSdI4ePbq+uuazzz47koX/9a9/TT2DSho7dmydc06fddZZ9913X/jvhu+u3nnnnY8++ujnn38+2fLGG2+sX78+OeRspFekXvJO76233kqNs841x4wZ88orr9S3nRx1vwx2YlVV1W677Raux1+xYsUll1zStWvXY445ZujQoUcccURVVVXnzp1TT1SyLte7r+kiHT6NSO9N3vwxffr0NBcFdtppp29961vpt/zRRx9dcskl7733Xrhxn332+dWvfpW81TUrodbp61//eqQl9SMfucKbkOc9BRHSpzDpUyrpk/QplfRph/KWkzQ9fUpVW1v7wAMPLFu2bPLkycnCPukTebb33ns//vjj995777Rp0xpYk7F27dp77rnnueeeu/vuu1O7VmPls3NmcIRq+pdtTo+5GRw+ciSDSArz0HzUUUedeuqpjz/+eJ1/6/jjjx8+fHh9kTRdTnvLOeecU19RYAPFm8BHthAEwVlnnVXnRsaNG/fII4/U91/k4VQioXDOv5rHt1D//v1TGzt06FBWVhYuOwgv52FfZ6tb1imDf7mBCuo8AoAwBRw01bZt284555zhw4dfe+21nTp1SrbX1tYuXrw4vOYHH3xwzjnn1LmRSOoWmRuv4VasWPHnP//53XffXbx48XvvvZf/sby++c1v3nzzzcl/Z+vWrXPmzDnmmGOCIPjss8+WLFkSXjmc9+Tn7Uod7nvLli0NfG3DZWsvhLtTWJpLM5F3OAiCNDP/RW4XCILg/fffTxNPnblyEATdu3ffZZddvvjii2RLZFeOGDEifAm7urr6z3/+c+I8PzH9YXjlxo4gvWjRovDDkpKS+uJMc4qVu+6XwU4MgmDIkCGR0VODIPjiiy8eeuihhx56qLKycuDAgUOHDh06dGhkPvVcyOnua7pIwfumTZvqXK22tjbyVPLCyo033ljfq4Ig6NChQ/pfIJ555plrrrkmMs/6gQceeMcdd0QGH256qHVqyH3wWblXHrJL+hQmfQqkT9KnEOlTZvKZkzQlfTr22GMXLFiwefPmJUuWPP3003/4wx/CXykvvfTSL3/5yx//+MfZCrVO0ifSaNeu3Y9//OOLL7543rx5r7766p/+9KfId2adli5dOm7cuCeeeKKJoxHks3NmdoRq4pdtTo+5mR0+ciGDSAr20HzllVf+6U9/Sk3M2rdvf80119QXSVbktLfstddeGQeWEG8CnzqrxSGHHFLnFnr37t2tW7c655WI5cwrIcbzr+bxLbTLLrukNpaWllZWVtaZLOVnX2elW9ansf9yoxTUeQQASQo4yI4ZM2Z89tlnDz/8cLKwdPPmzZHC4eXLlzcwNYkMnLhDtbW1jzzyyPTp0+fPn5+HmwnS6Nat22GHHRYuT541a1biBCZSft63b9/evXsnH+bn7Uq90pF6U2nGCmEvpA5ynmYA2F122aW8vDx881z6d7JHjx71PdW9e/fw9Z3IdoYOHdqmTZvwWz1r1qzEJewPPvggXOPcvn37wYMHp4khVWRy31122aW+wvmdd9555513XrduXepT+fy0NsT48eNnzJhR37h/W7dunT179uzZs2+88ca99trru9/97qmnnpqVm6HrlNPd13SRy/qRHy2StmzZErkRs+nv2ObNm2+66aaHHnoo0n7aaadde+21qefnMYYKBUv6lCB9kj6lbkf61FgtOX0qrpykpKSkoqKioqKif//+/fv3Hz58+Lhx48JX3qdNm3beeeclSsekT8SloqIiMXj+ZZddtnbt2oULFy5YsOCdd97529/+9tlnn9X5ks8+++w3v/nN5ZdfnudQM5bZEaqJX7Y5PeYWtYI9NLdv337ChAmpHfvSSy/t0qVLQ7acsZz2lt12262J4cWbwEc6TJD2P+rZs2ed289/LtfsM/+8qXP8pDTys6+z0i3r09h/uVEK6jwCgKQ6BnGCpEcfffS9FH/961+ffvrps846K7Ly22+/HS41bcqEdqnZZBorV648//zzr7766r///e91pr8VFRX5vOFg5MiR4Ycvv/xyIqrIrWaRYcfy83al3g2zfPnyrEypWCB7IfUHlTRn1KWlpV27dg23pEnKq6qq0uSmke1EBptt1arVcccdF2555ZVXEtdYI73iuOOOCw/v3BCRv1VnRXbSrrvuWmd73j6tDdSlS5fHH3/88MMP3+Ga77///vXXX3/SSSc18e6HNHK6+5ou0i3r+00x9XJ/E+eq/PTTT0eNGhX5paSsrOzqq6++8cYb6/ywxxUq5J/0KQN+BfdyAAAgAElEQVTSJ+mT9KmJWmz6VOw5yaGHHnr22WeHW9avX//CCy8klgsqVFqsdu3aDRo0aNy4cbfddttLL730/PPPX3311XVWPzzyyCPpp+8pHBkfoZr4ZZu7Y26xK+RD84svvpjaOGvWrFz/AJ/T3pKcq6spYkzgIxspKyurb+yHoP4f0fOcyzX7zL+Q5WdfZ6VbxqKgziMASFLAQaO1adNmn332mThx4kknnRR5KjzmYVOSzobP+VddXX3hhRe+/PLLkfaqqqqBAwd+//vfv/POO9988829994742Aaa/jw4eGrkF988cXChQurq6vnzJkTXi0yVnB+3q5WrVp179498trU0fPqVFNTU/0/JS/NFM5eSE6tnfTll1/Wt3JNTc1XX30VbkkdIz1p06ZNaYaki2wnNYwRI0aEH65cuTIxjW7kvoQMRpCOxLxy5co0K9f3bH66X6PsvvvuU6dOffbZZ8eNG9ezZ8/0Ky9dunTs2LG5GNA+IXe7r+kin+j67stMvT+pKeeKs2fP/ta3vhUZHLJLly4PPPDA6NGj67stIJZQoXBIn9KTPiVJn5KkT43VAtOn5pGTnHLKKZGWTz75JLFQaKFCSUlJr169Ro8ePWPGjLFjx0aeXb16dbH8otOUI1RTvmxzd8wtdgV7aJ4xY8Zzzz2X2v7KK688+eSTGf+5hij83hJjAh/ZSHV1dZoR8ur7AT6fuVxLyPwLWX72dVa6ZVwK6jwCgARTqJC5YcOGPfXUU+GW8C8QqcNNjxs3LuvDab744ot//etfwy29evW64oorjjzyyJ122inZuHXr1uz+3TTat29/1FFHvfTSS8mWl19+eevWreHLaoccckjkYlx+3q4gCA4++ODIkKevvfZaQ84Q/v3f//2BBx4It/zyl788/vjjg0LaC6n3yC5btqy+wQC//PLLSK7ZoUOHNBtftmxZfbOEfvrpp+m3c8QRR3Tq1Cl8leHll1/u06fPm2++mWzp1KlTQ4qdIzp27Bh++Pnnn2/fvr3OGxk3btxY32WOvHW/xtpzzz0vv/zyyy67bPHixS+88MLMmTNTZ5RM+Oc///nYY4995zvfyUUYudt9TRfp3tu2bVu+fHm3bt0iq3300UeRloznrXz00UevuuqqyP0iAwYM+OUvf5n+Nqn8hwqFSfpUJ+lTIH2SPmVJy0mfCj8neeyxx8KDae+1115Dhw6tM57S0tLwuAXJIbWlTxSsioqKCRMmzJ0795133gm3f/755+G5EgpZU45QQaZftjk95ha1wjw0r1q16rrrrqvv2RtvvPF//a//lf6I0xSF31tiTOBTN/LZZ5/ts88+da68dOnSBm4kd7lcC8n8C1Z+9nVWumW8CuQ8AoAEI3CQudRBC8PXp8rKyiLDrKUp6c1YpKy7qqpq6tSpw4YNC6e/tbW1kdPvXIuMIjhr1qzIrWaR8QODfL1dQRAcfPDBkZZnnnmmIQM/vv7665GW5GXBwtkLqZeKErf61SlypSkIgj322CPNxuvb1PLly8Pz4wZBkHoZqKys7IQTTgi3zJo1a+7cueEToeOPPz6DQSz79OkTflhTU5P6fyXU1x7ksftlpqSkpE+fPhdeeOETTzzx0ksvXXXVVQcccEDqam+99VaOAsjd7mu6r33ta5GWv//976mr/eMf/6jvhX/7299S53pIinzw33rrrYkTJ0a+McaMGTN16tQdXrdqeqjQPEif6iN9kj5F1pE+NUWzT5/izUkamD498sgjN4fcfffddcazatWqyKwTyZkdpE/kzbXXXnvU/zR//vz0LykrKxs0aFCkMZ/Vn03UlCNUUmO/bHN6zC1qhXlovuGGGyLDD4StXbs29UiURUXRW+JK4CNFIcH/rIkPW716dX2/lOczl2shmX/Bys++zkq3LASxn0cAkKCAg8ylTv4dGYIycrE7zVjT1SkaGENkm3369Em9IemTTz5JMzZmnZp4AvYv//IvVVVVyYdvv/32M888k3xYWlqauPMyIg9vVxAEw4YNi1wnnT9//quvvpr+VZ9++unixYvDLRUVFcnLgjnaCxkYMGBApOWBBx6ob7C7++67L9KS/hbA3/72t3V2jKlTp0baDznkkNTVIqe177777vTp08MtmY0gfeCBB6bGWeea9bUn5Kf7NcQ777zzVsgHH3wQfrZHjx5jxoyZPn36b37zm0hPjtwb3VjpP/U52n1Nl9rn67zSGjkh79KlSwZn3V9++eXFF18c+ea/4IILrrrqqobMXp/PUKGQSZ/qI32SPqWuJn1qoJaWPhVLThL5qWDRokV1fqIjt+QGodnopU/kTbt27T7/nyI/N9Yp9dusc+fOuQkw+zI4QjX9yzanx9yiVoCH5hdffDGciwZBMGTIkMhkiC+99FJknSwqit4SVwLfv3//yJrTpk2rcwtTpkxJPf/KYiR1Sv1uKZzzr6LoV7mQh7w9W90yp1L7TFznEQDskAIOMpd6a8XmzZvDDyN3Y8yfP//9999P3c7y5csHDBjQN2TSpEkNjOHzzz8PP1yzZk3qOnfddVcDt5a0YcOGyF1QjVJVVfWNb3wj3BKeCHbQoEHJS3JheXi7giDYbbfdhg0bFmm87rrr0txVUF1dPWHChEjjUUcdlTxJy9FeyED79u0jGfny5csfeuih1DVnz549d+7ccEvHjh1TU+2wd9999/nnn480fvDBB5Htl5aW1jk28kEHHRSpxQ5PpNq1a9fUk6iGOOKIIyIzUD733HMLFy6MrDZ//vwXXnghzXby0/0a4qabbvpuyA9+8IPUs4uSkpKhQ4dG5vZOHauwUdJ/6nO0+5quU6dOkXuVnnjiicg86O+///7MmTPDLUcffXRpaaMTgAcffDDyRXHwwQf/6Ec/KsBQoZBJn+ojfUrdiPRJ+tRALS19Kpac5NBDDw0/3LBhQ+oPIVu2bLnlllvqe6H0ibzZd999Iy1PPfVUfT/pJVRXV7/22mvhlpKSkvrG4S9AGRyhmv5lm9NjblErtEPzmjVrJk6cGG4pKSm5/PLLx48fX1FREW6/4YYbVqxYkSakjBVFb4krge/Tp09kKpC//e1v4clcEpYtWxaZzTDrkdQpNUEqnPOvouhXuZCHvD1b3TKnUvtMXOcRAOyQs3qyKTIx3siRI5OjvyZcdtllkWtta9asGT9+fLjEuLS09Mwzz2zgX4xcE1yyZMkTTzyRfFhdXX3XXXc9/vjjO9xO27Ztww+3b98+ffr0zZs3r1mzJrOfIiI3nIWNGDGivpfk+u1KGDt2bKRl2bJl48aNq3P0tvXr11977bWRlD0IgpNPPjm5nK29kBVnn312pOWmm26aPn16OPt85ZVXUq/wjhkzJnIenmrChAlPPvlksku89dZb3/3udzds2BBe5+ijj04dNC8IgpKSktShI5OOP/74zC6zVlVVRYanrq6uPvfcc//yl78k/uXa2trZs2efd955O7xFMj/db4e+/vWvhx9++umnU6ZMSQ1+xowZkbEl99tvv0b9oUZ96nO0+7Li9NNPDz9csWLFueeem7xoMm/evHPPPTdyx0AGN7xu3779kUceiTTOmzdv33337ZPWr3/96zyHCkVH+pQkfUo+lD4lSJ8aqEWlT0WUk6QWUvz617/+z//8z40bNwb/PUHAqFGjwr91BUHQuXPngw46KM+hwtFHH92qVatwy/vvv/+Tn/wkUjCUVFNTc91110UGmjr00EMjv10VuMYeobLyZZvTY27xKrRD87//+79HyjJOOeWUfffdt0ePHmeddVa4ffXq1ddff32D/snGK4reEksCX15eHs6rEy655JIZM2Yk35y5c+eOHj16/fr16YPPSofZYYJUUOdfRdGvsi4PeXu2umV27bDP5O08AoDG2vH4olCfnXfeOdKSuBQVXmH06NHhuX7ffffdE0888dvf/na/fv22bdu2aNGiRx55ZPXq1eFXfec730kzw2hE7969Z8+eHW6ZMGHC9OnT+/Tps3LlyrfffrvO6QNTs5DUSYInTpyYKLefN29eJMNriMGDB3fs2DE8q31CeXl5pDg9KQ9vV8KAAQPOPPPMP/zhD+HGhQsXjhw58vTTTz/uuOMSI+4uWbLk3Xffve+++1JvJjj44IOPO+645MNs7YWsGDZs2P77779gwYJkS3V19dVXX33fffcNHDiwrKxs/vz54WcTdt111+9973s73PimTZuuuOKKX/ziF717916xYkVqsXZZWdlFF11U38tHjhx5zz331PlUUy6znn/++U8++WT47qgVK1aMHTu2d+/ePXr0WLp0aeSicJ3y1v126Jvf/Gak9n/SpEkPPfTQUUcdteuuu5aVla1YseLNN99Mnf+7se9hYz/1Odp9TXf66affcccd4V0zb9684cOHd+/efevWranzeg4cOHDw4MGN/SuzZ89u+n1F+QkVCpz0KQ3pk/QplfSpIVpU+lREOcnuu+8+YsSIp556KtlSXV09efLkyZMnd+/efd26dXX+NH7BBReER6iWPpEfrVu3PvXUU3//+9+HG2fMmPHnP/951KhRRx111G677da1a9f169d//vnnb7311rRp0z766KPIRr797W/nL+JsaOwRKitftjk95ha1wjk0v/LKK+Ef14MgqKysvOSSSxLLF1xwwSOPPBL+/XXGjBnPPfdcnXOFNFFR9Ja4EvjRo0c/9NBD4dENt23bdskll+y5557du3dftmxZmjkyshtJ0IAEqaDOv4qiX2VdfvL2rHTL7Nphn8nbeQQAjaWAg8yl/gLx4YcfVldXh683XXTRRa+++uq7776bbFm1atVvfvOb+rbZv3//yy+/vOExnHTSSanDjs2dOzf1lsew1HslBw4c2PA/2hDl5eUnnHDC7373u0j7UUcdlWaEsVy/XUkTJkyYM2fOJ598Em7ctGnTAw88sMNh3Kqqqq699tqSkpJkS7b2QlaUlZXddtttp556aqScecmSJfVlyYmXpB/5baeddqqsrExcY01MCVznauPGjevXr199G9lnn3322muv1KtC3bt3D99m11g9e/Y877zzJk+eHGlP8y/XKW/dL72BAwceeeSRf/rTn8KNH330Uer1wbBvf/vbe++9d2P/UKPWz9Hua7rWrVv/4he/OPfcc8P3W9TW1i5btqzOla+++urw57eB/vGPfzQpyv/+63kIFQqc9CkN6ZP0KZX0qSFaVPpUXDnJZZdd9tprr6VWnNQ3a/hhhx02atSoWEKFSy+9dMaMGStXrgw3rl+//t5777333nt3+PJDDjkkzY34hSazI1RWvmxzdMxtBgrk0Lxu3bprrrkmss7YsWOTIyh06NDhBz/4wa233hpe4brrrjv88MM7duzY8Dgboih6S1wJ/B577HHhhRfedtttkTU//PDDDz/8MNxSUlKSpgY6K7ncDhOkgjr/Kop+lQt5yNuz1S2zaId9Jm/nEQA0lilUyFz37t0jw2Nu2rTp5ptvDl9aqqysvPvuuxt4RD/88MPvvffe5NTgDdG/f//TTjst/TpjxowZMmRIuOWDDz544403wi2HHnroKaec0vC/2xB1Xryob/zAhFy/XUlt2rSZMmVK4lbRRikvL588eXJkftxs7YVs2WOPPaZOnVrnRJup2rRpc/fdd+9wBu6qqqrrrrsu/TonnXRS+rm3S0pK6uwAJ5xwQhMvs1544YUnnXRS+nWOPPLI1ImNw/LW/dIrKSn5j//4jzQ/5KQ67LDDrrrqqsb+ocZ+6nO3+5puyJAhV1999Q7HIa+srLzzzjsjM6k3ULZ+MsxDqFDgpE/pSZ/CpE+B9KlhWlT6VFw5ya677nrXXXd16tSpISv3799/8uTJqYOTS5/Ij/bt2991112RsdYbqHfv3r/61a9inFaysTI7QmXryzYXx9zmoRAOzZMmTYoU9CQqNsItY8aM6dq1a7hl5cqVP/vZzxryFxurKHpLXAn8ueeeu8O6seOOO+6oo47KdSQ7TJAK7fyrKPpV1uUnb89Kt8yiHfaZvJ1HANBYRuAgc5WVlaeccspvf/vbcOOUKVPOP//8cNX5rrvu+rvf/e7nP//5I488Ut+EfG3btr3oootGjx5dXt7oPjlx4sQtW7Y888wzqU+1b99+woQJ3/rWt+6///7wUHU1NTU/+clPIrWlN9xwQ9++fe+8887wuH/t2rVLXlvs1q1bJAPbZZdd0gR20EEHjR8/fvv27eHGY445Jv2/k+u3K6lHjx6/+93vLr744nnz5jXwJd27d7/lllvqTNmbvhf22WefyNtbX5Y8ZMiQHj16JB9GTpsT+vXr9+ijj/7iF794+umn01Q0H3PMMVdccUXv3r3rWyHsxBNPXLt27c9+9rPIJNNBEJSXl1944YXnnXde+P7p+jZy++23RxqbPuhcaWnppEmT9ttvv9tvv33Lli2pKxx77LE333zzmDFj0m+nid0vWzuxc+fODz744J133jllypTwwIOpysrKzj777IsvvjgyYXMDP607/NRH5Gj3ZcVZZ5219957X3755cuXL69zhX79+k2aNGmfffbJbPtZvOe7KaH2798/Mil1qqqqqsjer3NThxxySPhhZWXlDuKGLJE+SZ+SpE/Sp0D61HgFkpM03AEHHPDoo49OnDgx8v0ZVlVVNWbMmIsvvri+qeWlT+THgQceOHXq1CuuuCJ14Jw0jj766BtvvDH1h8AdfqvE2zkzO0I1/cs2oenH3OzmAGnscD9mMZLYD81ffvnlli1bIv/Ov/zLv0QGHqiqqvq3f/u35557LrLNZcuWhf/B9L7xjW/st99+4ZY999yzzjXz2VsyE1cCX1ZW9h//8R89e/a8++67Uz/IQRB85zvfufrqq5PT3+QukqABCVKhnX8V0bdQFjVxXzfkvc1Wt8yiHfaZbB3aAMiuPA3W1GItX7587dq1cUdRKJYsWfLss8/+6U9/WrZs2VdffVVZWdm5c+f999//yCOPPOGEE+qbqG/NmjWRAdz23HPP1EHb3njjjYcffnju3Llffvllu3btevXqNXz48FNPPbVDhw5BEFRXV6fuiDrHNqytrV21alVi6sGOHTv26NEjrptIMnu7G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width="1440" style="display: block; margin: auto;" /> # <strong>c) Predicted maps for each sex and case</strong></p>
+<p><img 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width="1440" style="display: block; margin: auto;" /> # <strong>c) Predicted maps for each sex and case</strong></p>
 <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">predictions_syst &lt;-<span class="st"> </span><span class="kw">stack</span>(maps_predicted_F_1, maps_predicted_F_2, maps_predicted_F_3, 
     maps_predicted_M_1, maps_predicted_M_2, maps_predicted_M_3)