update to recipes 0.1.4

DESCRIPTION

@@ -1,9 +1,8 @@
 Package: olsrr
 Type: Package
 Title: Tools for Building OLS Regression Models 
-Version: 0.5.1.9000
-Authors@R: person("Aravind", "Hebbali", email = "hebbali.aravind@gmail.com", role = c("aut", "cre"),
-    comment = c(ORCID = "0000-0001-9220-9669"))
+Version: 0.5.2
+Authors@R: person("Aravind", "Hebbali", email = "hebbali.aravind@gmail.com", role = c("aut", "cre"))
 Description: Tools designed to make it easier for users, particularly beginner/intermediate R users 
     to build ordinary least squares regression models. Includes comprehensive regression output, 
     heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence, 
@@ -27,7 +26,7 @@ Imports:
     nortest,
     purrr,
     Rcpp,
-    recipes,
+    recipes (>= 0.1.4),
     rlang,
     shiny,
     stringr,
@@ -57,5 +56,5 @@ BugReports: https://github.com/rsquaredacademy/olsrr/issues
 Encoding: UTF-8
 LazyData: true
 VignetteBuilder: knitr
-RoxygenNote: 6.0.1
+RoxygenNote: 6.1.1
 LinkingTo: Rcpp

R/ols-regress_compute.R

@@ -52,7 +52,7 @@ reg_comp <- function(formula, data, conf.level = 0.95, iterm, title = "model") {
       step_scale(all_numeric())
 
     trained_rec <- prep(standardized, training = data)
-    newdata     <- bake(trained_rec, newdata = data_scaled)
+    newdata     <- bake(trained_rec, new_data = data_scaled)
     model2      <- lm(formula, data = newdata)
     output2     <- summary(model2)
     b           <- output2$coef[-1, 1]