stk_predict.m: Withdraw new syntax

Author: jbect

core/stk_predict.m

@@ -1,12 +1,10 @@
 % STK_PREDICT performs a kriging prediction
 %
 % CALL: ZP = stk_predict (MODEL, XP)
-% CALL: ZP = stk_predict (MODEL, DATA, XP)
 % CALL: ZP = stk_predict (MODEL, XI, ZI, XP)
 %
 %    performs a kriging prediction at the points XP, given the MODEL and,
-%    if available, additional data provided as a single DATA agument or
-%    as apair (XI, ZI).
+%    if available, additional data provided as a pair (XI, ZI).
 %
 %    The MODEL argument can be either a prior model structure (as provided
 %    by stk_model) or a model object (for instance, a posterior model
@@ -15,11 +13,6 @@
 %    model is first updated with the data before the prediction is actually
 %    carried out.
 %
-%    The DATA argument, in the second calling syntax, is expected to be an
-%    stk_iodata object.  Given separate input/output arguments XI an ZI,
-%    using the fourth calling syntax is equivalent to using a DATA argument
-%    equal to stk_iodata (XI, ZI).
-%
 %    The input arguments XI, ZI, and XP can be either numerical matrices or
 %    dataframes. More precisely, on an input space of dimension DIM,
 %
@@ -94,15 +87,15 @@
 
     case 2  % CALL: [...] = stk_predict (MODEL, X_PRD)
         x_prd = varargin{1};
-        
-    case 3  % CALL: [...] = stk_predict (MODEL, DATA, X_PRD)
-        model = stk_model_gpposterior (model, varargin{1});
-        x_prd = varargin{2};
+
+    case 3
+        stk_error ('Incorrect number of input arguments', ...
+            'SyntaxError');
 
     case 4  % CALL: [...] = stk_predict (MODEL, X_OBS, Z_OBS, X_PRD)
         model = stk_model_gpposterior (model, varargin{1}, varargin{2});
         x_prd = varargin{3};
-         
+        
 
 end % switch