Concurvity refers to the nonlinear dependencies among covariates in an additive model, and is related to the concept of collinearity among predictors in a linear model. This tag should be used when a question is related to (multi)collinearity in the predictors of a model where the model contains smooth functions of covariates such as generalized additive models.
Concurvity describes the nonlinear dependencies among predictor variables in an additive model, such as generalisaed additive models (GAMS; gam). Concurvity is the nonlinear counterpart to "collinearity" in linear regresion models