<p>Variable importance in the projection (VIP) and standardized coefficients of the variables used in the PLS models with diversity of each plant functional type as dependent variable and 15 selected variables from the three matrices (climate, soil, physical) as explanatory variables.</p
<p>Selected model coefficients, confidence interval and relative importance of the variables used.</...
<p>The variable importance in projection (VIP) denotes the degree of contribution to the PLS regress...
<p>Environmental variables used in the analysis and model selection. Variables included in the final...
<p>Summary of multivariate dependent variable PLS models fitted to %cover and diversity of plant fun...
<p>Summary of univariate dependent variable PLS models fitted to %cover and diversity of plant funct...
<p>*All environmental variables are shown and include pH, NO<sub>3</sub>-N, NH<sub>4</sub>-N, organi...
<p>The most likely explanatory variables are shown in bold (based on model-average estimate being di...
<p><i>Importance</i>-variable importance calculated as one minus the correlation between the model o...
<p>**Variables that were part of the models with ΔAICc <2 with ∑<i>w</i><sub><i>i</i></sub><0.60;</p...
<p>A VIP score is a measure of a variable’s importance in the PLS-DA model. It summarizes the contr...
<p>Selected normalization and variable influence on projection (VIP) cutoff values for model constru...
<p>Factor loadings of each variable on each principle component derived from a PCA on climatic varia...
1<p>The variable code used in the text.</p>2<p>Publications representative of the significance of th...
<p>Importance values are the posterior probabilities over the set of hypotheses and represent the su...
<p>a) Soil moisture variable importance related to tree cover. b) Soil moisture variable importance ...
<p>Selected model coefficients, confidence interval and relative importance of the variables used.</...
<p>The variable importance in projection (VIP) denotes the degree of contribution to the PLS regress...
<p>Environmental variables used in the analysis and model selection. Variables included in the final...
<p>Summary of multivariate dependent variable PLS models fitted to %cover and diversity of plant fun...
<p>Summary of univariate dependent variable PLS models fitted to %cover and diversity of plant funct...
<p>*All environmental variables are shown and include pH, NO<sub>3</sub>-N, NH<sub>4</sub>-N, organi...
<p>The most likely explanatory variables are shown in bold (based on model-average estimate being di...
<p><i>Importance</i>-variable importance calculated as one minus the correlation between the model o...
<p>**Variables that were part of the models with ΔAICc <2 with ∑<i>w</i><sub><i>i</i></sub><0.60;</p...
<p>A VIP score is a measure of a variable’s importance in the PLS-DA model. It summarizes the contr...
<p>Selected normalization and variable influence on projection (VIP) cutoff values for model constru...
<p>Factor loadings of each variable on each principle component derived from a PCA on climatic varia...
1<p>The variable code used in the text.</p>2<p>Publications representative of the significance of th...
<p>Importance values are the posterior probabilities over the set of hypotheses and represent the su...
<p>a) Soil moisture variable importance related to tree cover. b) Soil moisture variable importance ...
<p>Selected model coefficients, confidence interval and relative importance of the variables used.</...
<p>The variable importance in projection (VIP) denotes the degree of contribution to the PLS regress...
<p>Environmental variables used in the analysis and model selection. Variables included in the final...