<p>Selection of valid physical tests for prediction of Carrying hose baskets over terrain (n = 38) using one laboratory and one field-test model. Before selection, the laboratory model included all laboratory tests and anthropometrics (X = 79); the field model included all field tests and anthropometrics (X = 18). Step 1, Variable Importance for the Projection (VIP): is showing variables included in model after the first step selection. Step 2, Correlation: is showing variables included in the model after highly correlated (r ≥ 0.8) variables have been omitted. R<sup>2</sup> indicates the overall fit of the model, and Q<sup>2</sup> indicates the predictive power of the model. The field-test model was externally validated (EV) on another sub...
<p>The statistical Method (SM) was parametric (P) or non-parametric (NP) (see Methods section). Para...
<p>n = 50 (A, B), n = 110 (C, D) and n = 500 (E, F). A, C, E: solid line for sAIC, dashed line for s...
<p>A: Variables importance for the projection (VIP) of Demolition work capacity, using the training-...
<p>Selection of valid physical tests for prediction of firefighting physical work capacity (n = 36–3...
<p>A: Variables importance for the projection (VIP) of Carrying hose baskets over terrain work capac...
<p>A: Variables importance for the projection (VIP) of Carrying hose baskets up stairs work capacity...
<p>A: Variables importance for the projection (VIP) of Hose pulling work capacity, using the trainin...
<p>Of all 94 formulated models (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal...
<p>The barplot represents the importance of footprint and rotarod parameters in the prediction of an...
<p>A total of 94 models (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.01059...
Representation of model selection for the best environmental variables to explain trait variation de...
The evaluation of the predictive ability of a model, is an essential moment of all the chemometrical...
<p>The mean decrease in accuracy for a variable is the classification accuracy for the out-of-bag da...
<p>A: The results of 2-fold cross validations are shown for each regression method in this in this f...
<p>Predictive power of some representative models depending on the number of data points used for es...
<p>The statistical Method (SM) was parametric (P) or non-parametric (NP) (see Methods section). Para...
<p>n = 50 (A, B), n = 110 (C, D) and n = 500 (E, F). A, C, E: solid line for sAIC, dashed line for s...
<p>A: Variables importance for the projection (VIP) of Demolition work capacity, using the training-...
<p>Selection of valid physical tests for prediction of firefighting physical work capacity (n = 36–3...
<p>A: Variables importance for the projection (VIP) of Carrying hose baskets over terrain work capac...
<p>A: Variables importance for the projection (VIP) of Carrying hose baskets up stairs work capacity...
<p>A: Variables importance for the projection (VIP) of Hose pulling work capacity, using the trainin...
<p>Of all 94 formulated models (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal...
<p>The barplot represents the importance of footprint and rotarod parameters in the prediction of an...
<p>A total of 94 models (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.01059...
Representation of model selection for the best environmental variables to explain trait variation de...
The evaluation of the predictive ability of a model, is an essential moment of all the chemometrical...
<p>The mean decrease in accuracy for a variable is the classification accuracy for the out-of-bag da...
<p>A: The results of 2-fold cross validations are shown for each regression method in this in this f...
<p>Predictive power of some representative models depending on the number of data points used for es...
<p>The statistical Method (SM) was parametric (P) or non-parametric (NP) (see Methods section). Para...
<p>n = 50 (A, B), n = 110 (C, D) and n = 500 (E, F). A, C, E: solid line for sAIC, dashed line for s...
<p>A: Variables importance for the projection (VIP) of Demolition work capacity, using the training-...