Simplex regression Error infinite values in 'x'

Luca15 · November 23, 2022, 4:55pm

I'm trying to build a simplex regression with the command simplexreg(), from the omonimous package. I receive back the error "Error in svd(w) : missing or infinite values in 'x' ". I also tried to put just the target feature and another randomic feature but i keep having the same error.

I already checked for the target values, it have values between (0,1), same goes for the x values.

Its my first time opening a topic here, sorry if my english its not reaaly understandable or im missing some crucial information.)

Flm · November 24, 2022, 9:14am

Can you provide part of your df using dput(head(yourdf, 20)) and the code you used?

Luca15 · November 24, 2022, 11:23am

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    0.439421956967787, 0.44571073164099, 0.436260241164799), 
    added_value__2019 = c(0.0139554038796158, 0.00451993253823901, 
    0.00469962628541116, 0.0379062918736312, 0.00583410854482793
    ), added_value__2018 = c(0.0299808452231827, 0.0175629283385693, 
    0.0179183609558458, 0.0514255357904002, 0.0177102631058041
    ), added_value__2017 = c(0.0191323716457338, 0.00701389400317274, 
    0.00740551368211785, 0.0381050882768567, 0.00841209932002158
    ), added_value__2016 = c(0.0445280970282415, 0.036330831973937, 
    0.0369358660881256, 0.0641622609017284, 0.0377815339866545
    ), added_value__2015 = c(0.00750104926968675, 0.0040066943940796, 
    0.00455940016339715, 0.0152606191197047, 0.00437963635977676
    ), p_l_for_period_net_income__2019 = c(0.276585923164964, 
    0.276203201693415, 0.276084669883953, 0.293648268594347, 
    0.280099388551831), p_l_for_period_net_income__2018 = c(0.220268117028442, 
    0.21469616775208, 0.214711743149432, 0.224388836941361, 0.214704850207625
    ), p_l_for_period_net_income__2017 = c(0.286975604140942, 
    0.282599400033395, 0.282596413882519, 0.292780823639913, 
    0.285734787353482), p_l_for_period_net_income__2016 = c(0.559556128530041, 
    0.561250432480095, 0.561483532324678, 0.566539487478409, 
    0.562254632404991), p_l_for_period_net_income__2015 = c(0.540493957756934, 
    0.53632109656522, 0.536648246183953, 0.538880204048856, 0.53488606410689
    ), depreciation_2019 = c(0.00941984206695106, 0.0042089001530582, 
    0.00481407801396427, 0.0161799362957658, 0.00529482100576829
    ), depreciation_2018 = c(0.0295762414710021, 0.0206407043766209, 
    0.0210225602932284, 0.036126766333328, 0.0210206250405168
    ), depreciation_2017 = c(0.0288290909935928, 0.0195825160706763, 
    0.0199436563225978, 0.0354168317678176, 0.0195181968965214
    ), depreciation_2016 = c(0.0343285947430856, 0.0253207071129779, 
    0.0256877588215268, 0.0397337703305043, 0.0252080473730814
    ), depreciation_2015 = c(0.0260269325700121, 0.0183257005916294, 
    0.0185093772319233, 0.0318466418089394, 0.0180723287606419
    ), atp_tot = c(1e-04, 1e-04, 1e-04, 0.79704058, 0.77774444
    ), type_OTHER_INSTITUTIONS_GUO_X1 = c(1e-04, 1e-04, 1e-04, 
    1e-04, 1e-04), type_OWN_GUO_X1 = c(0.9999, 0.9999, 1e-04, 
    0.9999, 0.9999), country_iso_code_aggregation_EU_X1 = c(0.9999, 
    0.9999, 0.9999, 0.9999, 0.9999), country_iso_code_aggregation_EUROPEAN_NON_EU_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), country_iso_code_aggregation_OTHER_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), standardised_legal_form_Non_profit_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), standardised_legal_form_Other_forms_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), standardised_legal_form_Partnerships_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), standardised_legal_form_Private_companies_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), standardised_legal_form_Public_companies_X1 = c(0.9999, 
    0.9999, 0.9999, 0.9999, 0.9999), nace_rev_2_macroarea_ACCOMMODATION_AND_FOOD_SERVICE_ACTIVITIES_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_CONSTRUCTION_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_ENERGY_WATER_WASTE_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_FINANCIAL_INSURANCE_REAL_ESTATE_X1 = c(1e-04, 
    1e-04, 0.9999, 1e-04, 0.9999), nace_rev_2_macroarea_HUMAN_HEALTH_AND_SOCIAL_WORK_ACTIVITIES_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_INFORMATION_COMMUNICATION_AND_ARTS_X1 = c(1e-04, 
    0.9999, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_MANUFACTURING_X1 = c(0.9999, 
    1e-04, 1e-04, 0.9999, 1e-04), nace_rev_2_macroarea_OTHER_SERVICE_ACTIVITIES_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_PROFESSIONAL_SCIENTIFIC_AND_TECHNICAL_ACTIVITIES_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_PUBBLIC_AND_PRIVATE_ADMINISTRATION_AND_EDUCATION_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_TRANSPORTATION_AND_STORAGE_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_WHOLESALE_AND_RETAIL_TRADE_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), type_OTHER_COMPANY_GUO_X1 = c(1e-04, 
    1e-04, 0.9999, 1e-04, 1e-04)), row.names = c(NA, 5L), class = "data.frame")

modedit as per :

nirgrahamuk · November 24, 2022, 11:39am

This package doesnt seem to be listed on CRAN; have you spelt it correctly ? is it a publicly available package?

Luca15 · November 24, 2022, 12:59pm

Yes, the function is simplexreg(), anche the package is still simplexreg

system · December 15, 2022, 12:59pm

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