[Bartlett, J. D., O’Connor, F., Pitchford, N., Torres-Ronda, L., & Robertson, S. J. (2016). Relationships Between Internal and External Training Load in Team Sport Athletes: Evidence for an Individualised Approach. International Journal of Sports Physiology and Performance. doi: 10.1123/ijspp.2015-0791]Search in Google Scholar
[Borresen, J., & Lambert, M. I. (2008). Quantifying training load: a comparison of subjective and objective methods. International Journal of Sports Physiology and Performance, 3(1), 16.10.1123/ijspp.3.1.1619193951]Search in Google Scholar
[Boyd, L. J., Ball, K., & Aughey, R. J. (2011). The reliability of MinimaxX accelerometers for measuring physical activity in Australian football. International Journal of Sports Physiology and Performance, 6(3), 311-321.10.1123/ijspp.6.3.31121911857]Search in Google Scholar
[Clarke, N., Farthing, J. P., Norris, S. R., Arnold, B. E., & Lanovaz, J. L. (2013). Quantification of training load in Canadian football: application of session-RPE in collision-based team sports. The Journal of Strength & Conditioning Research, 27(8), 2198-2205.10.1519/JSC.0b013e31827e133423222076]Search in Google Scholar
[Cummins, C., Orr, R., O’Connor, H., & West, C. (2013). Global positioning systems (GPS) and microtechnology sensors in team sports: a systematic review. Sports Medicine, 43(10), 1025-1042.10.1007/s40279-013-0069-223812857]Search in Google Scholar
[Edwards, S. (1993). High performance training and racing. The Heart Rate Monitor Book, pp. 113-123.]Search in Google Scholar
[Foster, C., Florhaug, J. A., Franklin, J., Gottschall, L., Hrovatin, L. A., Parker, S., . . . Dodge, C. (2001). A new approach to monitoring exercise training. The Journal of Strength & Conditioning Research, 15(1), 109-115.]Search in Google Scholar
[Gabbett, T. J. (2010). The development and application of an injury prediction model for noncontact, soft-tissue injuries in elite collision sport athletes. The Journal of Strength & Conditioning Research, 24(10), 2593-2603.10.1519/JSC.0b013e3181f19da420847703]Search in Google Scholar
[Gabbett, T. J., & Jenkins, D. G. (2011). Relationship between training load and injury in professional rugby league players. Journal of Science and Medicine in Sport, 14(3), 204-209.10.1016/j.jsams.2010.12.00221256078]Search in Google Scholar
[Gallo, T., Cormack, S., Gabbett, T., Williams, M., & Lorenzen, C. (2015). Characteristics impacting on session rating of perceived exertion training load in Australian footballers. Journal of Sports Sciences, 33(5), 467-475.10.1080/02640414.2014.94731125113820]Search in Google Scholar
[Gallo, T. F., Cormack, S. J., Gabbett, T. J., & Lorenzen, C. H. (2016). Pre-training perceived wellness impacts training output in Australian football players. Journal of Sports Sciences, 34(15), 1445-1451.10.1080/02640414.2015.111929526637525]Search in Google Scholar
[Gaudino, P., Iaia, F., Strudwick, A., Hawkins, R., Alberti, G., Atkinson, G., & Gregson, W. (2015). Factors Influencing Perception of Effort (Session-RPE) During Elite Soccer Training. International Journal of Sports Physiology and Performance, 10(7), 860-864.10.1123/ijspp.2014-051825671338]Search in Google Scholar
[Hawkins, D. M. (2004). The problem of overfitting. Journal of Chemical Information and Computer Sciences, 44(1), 1-12.10.1021/ci034247214741005]Search in Google Scholar
[Impellizzeri, F. M., Rampinini, E., Coutts, A. J., Sassi, A., & Marcora, S. M. (2004). Use of RPE-based training load in soccer. Medicine and Science in Sports and Exercise, 36(6), 1042-1047.10.1249/01.MSS.0000128199.23901.2F]Search in Google Scholar
[James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning (Vol. 112). New York: Springer.10.1007/978-1-4614-7138-7]Search in Google Scholar
[Jennings, D., Cormack, S., Coutts, A. J., Boyd, L., & Aughey, R. J. (2010). The validity and reliability of GPS units for measuring distance in team sport specific running patterns. International Journal of Sports Physiology and Performance, 5(3), 328-341.10.1123/ijspp.5.3.32820861523]Search in Google Scholar
[Karatzoglou, A., Smola, A., Hornik, K., & Zeileis, A. (2004). kernlab - An S4 Package for Kernel Methods in R. Journal of Statistical Software, 11(9), 1-20.10.18637/jss.v011.i09]Search in Google Scholar
[Kelly, D. M., Strudwick, A. J., Atkinson, G., Drust, B., & Gregson, W. (2016). The within participant correlation between perception of effort and heart rate-based estimations of training load in elite soccer players. Journal of Sports Sciences, 34(14), 1328-1332.10.1080/02640414.2016.114266926852624]Search in Google Scholar
[Kuhn, M. (2008). Caret package. Journal of Statistical Software, 28(5).]Search in Google Scholar
[Kuhn, M., & Johnson, K. (2013). Applied predictive modeling: Springer.10.1007/978-1-4614-6849-3]Search in Google Scholar
[Kuhn, M., Weston, S., Coulter, N., & Quinlan, R. (2014). C50: C5. 0 decision trees and rulebased models. R package version 0.1. 0-21, URL http://CRAN.R-project.org/package_C.50.]Search in Google Scholar
[Liaw, A., & Wiener, M. (2002). Classification and Regression by randomForest. R News, 2(3), 18-22.]Search in Google Scholar
[Lovell, T. W., Sirotic, A. C., Impellizzeri, F. M., & Coutts, A. J. (2013). Factors affecting perception of effort (session rating of perceived exertion) during rugby league training. International Journal of Sports Physiology and Performance, 8(1), 62-69.10.1123/ijspp.8.1.6223302138]Search in Google Scholar
[Milborrow, S. (2012). earth: Multivariate Adaptive Regression Splines. R package version, 4(0).]Search in Google Scholar
[Nicolò, A., Marcora, S. M., & Sacchetti, M. (2015). Respiratory frequency is strongly associated with perceived exertion during time trials of different duration. Journal of Sports Sciences, 34(13), 1-8.]Search in Google Scholar
[R Core Team. (2014). R: A Language and Environment for Statistical Computing. Vienna, Austria.]Search in Google Scholar
[Rampinini, E., Alberti, G., Fiorenza, M., Riggio, M., Sassi, R., Borges, T. O., & Coutts, A. J. (2015). Accuracy of GPS devices for measuring high-intensity running in field-based team sports. International Journal of Sports Medicine, 36(1), 49-53.]Search in Google Scholar
[Ritchie, D., Hopkins, W., Buchheit, M., Cordy, J., & Bartlett, J. (2015). Quantification of Training and Competition Load Across a Season in an Elite Australian Football Club. International Journal of Sports Physiology and Performance, 11(4), 474-479.10.1123/ijspp.2015-029426355304]Search in Google Scholar
[Rogalski, B., Dawson, B., Heasman, J., & Gabbett, T. J. (2013). Training and game loads and injury risk in elite Australian footballers. Journal of Science and Medicine in Sport, 16(6), 499-503.10.1016/j.jsams.2012.12.00423333045]Search in Google Scholar
[Saw, A. E., Main, L. C., & Gastin, P. B. (2016). Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures: a systematic review. British Journal of Sports Medicine, 50, 281-291.10.1136/bjsports-2015-094758478970826423706]Search in Google Scholar
[Scott, B. R., Lockie, R. G., Knight, T. J., Clark, A. C., & Janse de Jonge, X. (2013). A comparison of methods to quantify the in-season training load of professional soccer players. International Journal of Sports Physiology and Performance, 8(2), 195-202.10.1123/ijspp.8.2.19523428492]Search in Google Scholar
[Varley, M. C., Fairweather, I. H., & Aughey1, Robert J. (2012). Validity and reliability of GPS for measuring instantaneous velocity during acceleration, deceleration, and constant motion. Journal of Sports Sciences, 30(2), 121-127.10.1080/02640414.2011.62794122122431]Search in Google Scholar
[Varma, S., & Simon, R. (2006). Bias in error estimation when using cross-validation for model selection. BMC Bioinformatics, 7(1), 91.10.1186/1471-2105-7-91139787316504092]Search in Google Scholar
[Venables, W. N., & Ripley, B. D. (2002). Modern Applied Statistics with S. New York: Springer.10.1007/978-0-387-21706-2]Search in Google Scholar
[Weihs, C., Ligges, U., Luebke, K., & Raabe, N. (2005). klaR Analyzing German Business Cycles Data Analysis and Decision Support (pp. 335-343). Berlin: Springer-Verlag.]Search in Google Scholar